Differentiation of Primary Lung Cancer from Solitary Lung Metastasis in Patients with Colorectal Cancer Using Computed Tomography Features and Clinical Characteristics : A Retrospective Cohort Study

Differentiation of Primary Lung Cancer from Solitary Lung Metastasis in Patients with Colorectal Cancer Using Computed Tomography Features and Clinical Characteristics : A Retrospective Cohort Study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Differentiation of Primary Lung Cancer from Solitary Lung Metastasis in Patients with Colorectal Cancer Using Computed Tomography Features and Clinical Characteristics : A Retrospective Cohort Study Jong Eun Lee, Won Gi Jeong, Yun-Hyeon Kim This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-94547/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 24 Jan, 2021 Read the published version in World Journal of Surgical Oncology → Version 1 posted 28 You are reading this latest preprint version Abstract Purpose : To evaluate the features of solitary pulmonary nodule (SPN) that can be used to differentiate between primary lung cancer (LC) and solitary lung metastasis (LM) in patients with colorectal cancer (CRC). Materials and Methods : This retrospective study included SPNs resected in CRC patients between 2011 and 2019. The diagnosis of primary LC or solitary LM was based on histopathologic report by thoracoscopic wedge resection. Chest computed tomography (CT) images were assessed by two thoracic radiologists, and features were identified by consensus. Predictive parameters for the discrimination of primary LC from solitary LM were evaluated using multivariate logistic regression analysis. Results : We analyzed 199 patients (mean age, 65.95 years; 131 men). The clinical characteristics suggestive of primary LC rather than solitary LM was clinical stage I-II CRC ( P < 0.001, odds ratio (OR): 21.70). The CT features of SPNs indicative of primary LC rather than solitary LM were a spiculated margin ( P = 0.020, OR: 8.34), a sub-solid density ( P < 0.001, OR: 115.56), and presence of an air-bronchogram (OR: 5.32; P = 0.032). Conclusions : CT features and clinical characteristics of SPNs in patients with CRC could help differentiate between primary LC and solitary LM. Cancer Biology Oncology solitary pulmonary nodule (SPN) lung cancer (LC) solitary lung metastasis (LM) colorectal cancer (CRC) Figures Figure 1 Figure 2 Introduction Chest computed tomography (CT) is an important surveillance tool for pulmonary metastases. As the lung is a common site of metastasis in colorectal cancer (CRC) and chest CT supports improved identification of pulmonary nodules, many current guidelines recommend chest CT in pre-operative evaluation and post-operative surveillance of patients with CRC [ 1 ]. Detection of multiple pulmonary nodules supports a diagnosis of metastasis [ 2 ]. However, diagnosis is more difficult when a solitary pulmonary nodule (SPN) is detected because primary lung cancer (LC) can mimic a solitary lung metastasis (LM) in patients with CRC. Furthermore, 10% of pulmonary metastases are present as SPNs in patients with CRC. This rate is higher than that in patients with other extra-thoracic malignancies [ 3 , 4 ]. Therefore, it is sometimes difficult to determine whether a SPN is a primary LC or a solitary LM. Surgical strategies for treating primary LC and solitary LM are quite different. The treatment of choice for LM is minimally invasive surgical resection in order to preserve as much healthy lung parenchyma as possible in case repeat operations are needed. However, complete surgical resection with lobectomy and mediastinal lymph node dissection is the gold standard for LC [ 5 ]. Image-guided needle biopsies may be useful for distinguishing between primary LC and solitary LM before surgical planning. However, it is difficult and risky to perform needle biopsies in some cases, especially for those with small lesions. Additionally, the small volume of biopsy specimen obtained can sometimes impede histological differentiation between primary LC and solitary LM. Imaging characteristics of SPN can be used for non-invasive alternatives to determine whether a SPN is a primary LC or a solitary LM. However, compared to the generally accepted imaging findings of metastatic nodules including multiple peripherally located round variable sized nodules [ 4 ], the comparison of imaging findings between primary LC and solitary LM are not well established. Therefore, the aim of this study was to determine clinical characteristics and CT features that could be used to differentiate between primary LC and solitary LM in patients with CRC. Materials And Methods Patients We retrospectively reviewed CRC patients by searching electronic medical records from January 2011 to December 2019 at a single tertiary referral center. Patients with the following criteria were included: presence of a SPN which measured less than 30 mm on pre-diagnostic chest CT image, evidence of malignant potential such as size growth of a SPN that has increased in diameter of at least 2 mm, and availability of histopathologic report by thoracoscopic wedge resection. To this initial inclusion of 224 patients, we applied the exclusion criteria of patients whose SPN was not diagnosed as either primary LC or solitary LM (n = 13) and patients whose SPN deemed too small to characterize at pre-diagnostic chest CT image (less than 8 mm) (n = 12). Finally, 199 CRC patients were enrolled in this study (Table 1 ). Table 1 Clinical Characteristics of Patients LC (n = 70) LM (n = 129) P value Age (years) 68.53 ± 8.15 64.55 ± 1.72 0.004 Sex (M/F) 44/26 87/42 0.515 History of smoking 37 (52.9) 49 (38) 0.043 Index tumor location Colon Rectum 41 (58.6) 29 (41.4) 47 (36.4) 82 (63.6) 0.003 Index tumor stage < 0.001 Stage I-II Stage III-IV 53 (75.7) 17 (24.3) 29 (22.5) 100 (77.5) Histopathology of the pulmonary nodule Metastatic Adenocarcinoma Squamous cell carcinoma Small cell carcinoma 55 (78.6) 14 (20) 1 (1.4) 129 (100) N/A ++ Values in parentheses are percentages. Values are presented as mean ± standard deviation where applicable. Note: significant P values are shown in bold LC, lung cancer; LM, lung metastases ++ N/A, not applicable Histopathological diagnosis Patients were divided into two groups based on histopathology: those with primary LC and those with solitary LM. Histopathological differentiation between primary LC and solitary LM was achieved by performing a comprehensive histological assessment and immunohistochemistry staining. Nodules of different histological types including squamous cell carcinoma and small cell carcinoma were considered to be primary LC. Nodules with morphological features of pulmonary adenocarcinoma and positive staining for CK7 and TTF-1 were also considered to be primary LC. Nodules with morphological features of enteric adenocarcinoma, positive staining for CK20, and negative staining for TTF-1 were considered to be solitary LM [ 6 ]. Imaging protocols Chest CT scans including high resolution CT were obtained using a Lightspeed 16 (n = 87; GE Medical Systems, Milwaukee, Wisconsin, USA), a Lightspeed VCT (n = 68; GE Medical Systems, Milwaukee, Wisconsin, USA), a Somatom Definition Flash multi-detector CT system (n = 32; Siemens Medical Systems, Erlangen, Germany), or a Revolution (n = 11; GE Medical Systems, Milwaukee, Wisconsin, USA). For Lightspeed VCT, Lightspeed 16, and Revolution, the following parameters were used: reconstruction thickness of the enhanced CT scan, 2.5 mm; rotation time, 0.5 to 0.8 sec; peak kilovoltage, 120 kVp; and tube current, 220 mAs. For Somatom Definition Flash, the following parameters were used: reconstruction thickness, 2.5 or 3.0 mm; rotation time, 0.5 sec; peak kilovoltage, 120 kVp; and tube current, 110 mAs. Contrast-enhanced chest CT images were obtained after an intravenous injection of 120 to 130 mL nonionic contrast medium (either iohexol [Omnipaque®, GE Healthcare, Amersham, UK] or iopromide [Ultravist 300®, Bayer Schering Pharma, Berlin, Germany]) at an average injection rate of 2 mL/sec. Analysis of CT features Chest CT images were interpreted independently by two thoracic radiologists with 20 and 8 years of experience, respectively. They were blinded to clinical and histopathologic information of patients. If interpretations differed, the decision was made based on consensus reading of two designated thoracic radiologists. Qualitative CT features such as location (upper or non-upper, central or peripheral), margin (smooth, lobulated, or spiculated), and density (solid or sub-solid) of pulmonary nodules and the presence of an air-bronchogram, cavitation, pleural tags, pleural abutment, or background emphysema were assessed. A central location was defined as the area within 2 cm of the pulmonary hilum [ 7 ]. Nodules were classified as smooth, lobulated, or spiculated based on margin characteristics (Fig. 1 ). Nodules were classified as having a sub-solid density if they contained a portion of ground-glass opacity (GGO) without completely obscuring bronchial or vascular margins of the lung parenchyma (Fig. 1 ) [ 8 ]. An air-bronchogram was defined as a gas-filled bronchus surrounded by abnormal lung parenchyma (Fig. 1 ) [ 8 ]. Pleural tags were defined as linear strands that extended between nodule surface and adjacent pleural surface [ 9 ]. Quantitative CT features such as sizes of lung nodules were also assessed. The size of a nodule was measured using the longest diameter, including any portion of GGO seen on axial CT images obtained with lung window settings. Statistical analysis All statistical analyses were performed using SPSS software, version 25.0 (IBM Corp., Armonk, NY, USA). CT features of primary LC and solitary LM were compared using Pearson Chi-square test for categorical variables and independent t-test for continuous variables. Inter-reader agreement for CT features was assessed by percent of concordant cases and Kappa of agreement with 95% confidence intervals [ 10 ]. Univariate and multivariate logistic regression analyses were used to evaluate which factors were predictive of differentiation between the two groups. In initial univariate analysis, a P value of < 0.25 was used as the threshold for retaining factors in multivariate analysis [ 11 ]. A receiver operating characteristic (ROC) curve was drawn to discriminate LC from LM according to each significant clinical characteristic and CT feature. Corresponding area under the curve (AUC) was calculated. Statistical significance was considered when p-value was less than 0.05. Results Clinical characteristics of patients enrolled in this study are summarized in Table 1 . The mean age of patients was 65.95 ± 1.5 years. There were 131 men and 68 women. In CRC patients, preoperative and surveillance chest CTs revealed 78 and 121 SPNs, respectively. The proportion of patients in which the index tumor was located in the rectum was significantly higher in the solitary LM group than that in the primary LC group (63.6% vs. 41.4%, P = 0.003). According to the American Joint Committee on Cancer tumor-node-metastasis staging system [ 12 ], the proportion of patients with clinical stage I-II index tumor was significantly higher in the primary LC group than that in the solitary LM group (77.5% vs. 24.3%, P < 0.001). CT features of SPNs were compared between primary LC and solitary LM groups (Table 2 ). The mean size of nodules was significantly greater in the primary LC group (1.91 cm; IQR: 1.50–2.25 cm) than the solitary LM group (1.49 cm; IQR: 1.00 − 1.70 cm) ( P < 0.001). Table 2 Comparison of CT Features of SPNs LC (n = 70) LM (n = 129) P value Size 1.91 ± 0.55 1.49 ± 0.62 < 0.001 Cranial-caudal location 0.188 Upper 35 (50.0) 52 (40.3) Non-upper 35 (50.0) 77 (59.7) Axial location 0.105 Central 12 (17.1) 12 (9.3) Peripheral 58 (82.9) 117 (90.7) Margin < 0.001 Smooth 7 (10) 54 (41.9) Lobulated Spiculated 30 (42.9) 33 (47.1) 68 (52.7) 7 (5.4) Density < 0.001 Solid 47 (67.1) 128 (99.2) Sub-solid 23 (32.9) 1 (0.8) Air-bronchogram 30 (42.9) 7 (5.4) < 0.001 Cavitation 13 (18.6) 19 (14.7) 0.296 Pleural tags 41 (58.6) 25 (19.4) < 0.001 Pleural abutment 32 (45.7) 53 (41.1) 0.528 Background emphysema 18 (25.7) 13 (10.2) 0.004 Values in parentheses are percentages. Values are presented as mean ± standard deviation where applicable. Note: significant P values are shown in bold CT, computed tomography; LC, lung cancer; LM, lung metastases; SPNs, solitary pulmonary nodules The proportion of nodules with spiculated margins was significantly higher in the primary LC group than in the solitary LM group (47.1% vs. 5.4%, P < 0.001). The proportion of nodules with a sub-solid density was significantly higher in the primary LC group than in the solitary LM group (32.9% vs. 0.8%, P < 0.001). Air-bronchograms were significantly more frequent in the primary LC group than in the solitary LM group (42.9% vs. 5.4%, P < 0.001). Pleural tags were significantly more frequent in the primary LC group than in the solitary LM group (58.6% vs. 19.4%, P < 0.001). There were no statistically significant differences in the location of nodules or the presence of cavitation between the two groups (Table 2 ). Inter-observer agreement for studied CT features was substantial (kappa > 0.60, ≤ 0.8) for central-peripheral location (kappa = 0.66), margin (kappa = 0.80), air-bronchogram (kappa = 0.71), cavitation (kappa = 0.80), pleural tags (kappa = 0.80), and pleural abutment (kappa = 0.66). It was almost perfect (kappa > 0.80) for all remaining CT features (Table 3 ). Table 3 Analysis of inter-reader agreement showing the percent of concordance and kappa of agreement CT features Number (% of concordance) + kappa (95% CIs) ++ Cranial-caudal location 199/199 (100) 1 (1, 1) Central-peripheral location 136/199 (68.3) 0.66 (0.50, 0.80) Margin 174/199 (87.4) 0.80 (0.72, 0.87) Density 192/199 (96.5) 0.83 (0.72, 0.95) Air-bronchogram 182/199 (91.5) 0.71 (0.58, 0.84) Cavitation 188/199 (94.5) 0.80 (0.69, 0.91) Pleural tags 180/199 (90.5) 0.80 (0.71, 0.88) Pleural abutment 166/199 (83.4) 0.66 (0.55, 0.77) Background emphysema 198/199 (99.5) 0.98 (0.94, 1.00) Note: + Values in parentheses are percentages ++ Values in parentheses are 95% CIs CI, confidence interval. Predictive parameters for differentiation between primary LC and solitary LM were analyzed using univariate and multivariate logistic regression models (Table 4 ). Age ( P = 0.009), a history of smoking ( P = 0.044), a colon location of the index tumor ( P = 0.009), a clinical stage I-II CRC ( P < 0.001), size of SPN ( P < 0.001), a spiculated margin ( P < 0.001), a lobulated margin ( P = 0.007), sub-solid density ( P ≤ 0.001), presence of an air-bronchogram ( P < 0.001), presence of pleural tags ( P < 0.001), and background emphysema ( P = 0.005) were significant on univariate analysis. On multivariate analysis including these 13 factors as variables of interest, clinical stage I-II CRC ( P < 0.001, odds ratio (OR) : 21.70), a spiculated margin ( P = 0.020, OR: 8.34), a sub-solid density ( P < 0.001, OR: 115.56), and presence of an air-bronchogram ( P = 0.032, OR: 5.32) were significant predictive parameters for discriminating primary LC from LM. Table 4 Multivariate Analysis of Clinical Characteristics and CT features for Discriminating LC from LM Univariate Multivariate OR P value OR P value Age 1.04 (1.01–1.08) 0.009 1.05 (0.99–1.11) 0.102 Smoking 1.83 (1.02–3.30) 0.044 2.81 (0.91–8.64) 0.072 Index tumor (colon cancer) + 2.47 (1.36–4.48) 0.009 1.41 (0.52–3.85) 0.503 Stage I-II CRC 10.75 (5.42–21.33) < 0.001 21.70 (6.56–71.73) < 0.001 Size of SPN 3.34 (1.92–5.83) < 0.001 2.01 (0.70–4.80) 0.197 Upper lobe location 1.48 (0.82–2.66) 0.189 1.33 (0.46–3.79) 0.600 Central location 0.50 (0.21–1.17) 0.110 2.11 (0.55–8.14) 0.280 Spiculated margin Lobulated margin 36.37 (11.71–112.99) 3.40 (1.39–8.35) < 0.001 0.007 8.34 (1.39–50.08) 2.41 (0.66–8.89) 0.020 0.186 Sub-solid density 62.64 (8.23–476.85) < 0.001 115.56 (9.96–1341.06) < 0.001 Air-bronchogram 13.07 (5.33–32.05) < 0.001 5.32 (1.15–24.51) 0.032 Cavitation 1.32 (0.61–2.87) 0.482 Pleural tags 5.88 (3.08–11.22) < 0.001 2.41 (0.77–7.53) 0.131 Pleural abutment 1.21 (0.67–2.17) 0.529 Background emphysema 3.06 (1.40–6.71) 0.005 1.83 (0.55–6.06) 0.322 Data in parentheses are 95% confidence intervals. Each variable with a P value ≤ 0.25 in univariate analysis was analyzed in the multivariate model. All statistical analyses were performed using the logistic regression model. Note: significant ORs and P values are shown in bold CT, computed tomography; LC, lung cancer; LM, lung metastases; OR, odds ratio + Reference value is the rectal location of index tumor ROC curves were used to assess the discrimination of primary LC from LM using clinical characteristics (clinical stage I-II CRC) and CT features (independent predicted factors: spiculated margin, sub-solid density, and air-bronchogram) both alone and in combination. Areas under ROC curve values of clinical stage I-II CRC, spiculated margin, subsolid density, and airbronchogram were 0.766, 0.772, 0.660, and 0.687, respectively. The area under the ROC curve value was 0.926 when both clinical and CT features were used (Fig. 2 ). Discussion CT features can be used to differentiate between primary LC and solitary LM. In our multivariate analysis, three CT features of nodules were found to be useful for differentiating primary LC and solitary LM. These were nodules with spiculated margins, sub-solid density, and a presence of air-bronchogram. Marginal characteristics of nodules can be used to determine whether these nodules are primary or metastatic and whether they are benign or malignant. Previous studies have reported that a smooth or well-defined margin is more common in metastatic nodules than an irregular margin [ 4 , 13 ]. In contrast, up to 80% of primary lung cancer can present with non-smooth margin, especially a spiculated margin which is already well known to be associated with primary lung cancer [ 14 , 15 ]. The proportion of nodules with spiculated margins was significantly higher in patients with primary LC than in patients with solitary LM in both univariate and multivariate analyses of our study. The margin of a nodule appeared more irregular even in solitary LM as the size increased. But a solitary LM tended to show a lobulated margin rather than a spiculated margin in our study. Nodules with a sub-solid density contain a GGO component commonly seen in lepidic growth of primary lung adenocarcinomas [ 16 , 17 ]. Lepidic growth is defined as tumor progression along the alveolar wall. It is typically observed in primary lung adenocarcinomas. Only a few reports have described cases of lepidic growth of pulmonary metastases [ 18 , 19 ]. Typically, pulmonary metastases present as solid, round nodules that are peripherally located [ 4 ]. In our study, sub-solid density of nodules was mostly observed in primary LC. It was rarely observed in solitary LM. Thus, sub-solid density of SPNs can be used to support a diagnosis of a primary LC rather than a solitary LM. An air-bronchogram is defined as an air-containing bronchus or bronchioles within an area of opacification of the surrounding alveoli. The presence of an air-bronchogram within a nodule raises a high suspicion of a primary lung malignancy [ 20 ]. Air-bronchograms have been reported to occur in primary LC of all histological types [ 21 ]. Only a few reports have described cases of pulmonary metastases showing air-bronchograms [ 18 ]. The rate of air-bronchograms within nodules was significantly higher in primary LC than in solitary LM in both univariate and multivariate analysis of our study. Pleural tags are known as interlobular septal thickening of the lung between the nodule and visceral pleura. They may result from localized edema, tumor extension within or outside lymphatic vessels, inflammatory cells, or fibrosis [ 9 ]. A previous study has reported that pleural tags are commonly seen in primary LC and in up to 80% of surgically resected primary LC without abutting the pleura [ 22 ]. In the present study, pleural tags were found in 56.4% of primary LC. They were also significantly more frequent in primary LC than in solitary LM in univariate analysis of our study. Besides CT features, clinical characteristics can also aid the differentiation between primary LC and solitary LM. Several studies have previously characterized indeterminate pulmonary nodules in patients with CRC [ 23 – 26 ]. Among factors predicting pulmonary metastasis, presence of lymph node metastasis in patients with CRC has been identified as a significant risk factor [ 23 – 26 ]. Kim et al. [ 27 ] have reported that the probability of pulmonary metastasis is low in patients with CRC without hepatic or lymph node metastasis, that is, in clinical stage I-II CRC patients. Similarly, the present study showed that solitary LM was associated with higher clinical stage (III-IV) CRC patients than lower clinical stage CRC patients (I-II) in both univariate and multivariate analyses. Previous studies have reported that the location of the index tumor in the rectum rather than the colon is a risk factor of pulmonary metastasis in patients with CRC [ 23 , 25 ]. The venous bloodstream of the rectum bypasses the liver, meaning that the first organ encountered is the lung [ 28 ]. Similarly, the proportion of index tumors located in the rectum was significantly higher in the solitary LM group than in the primary LC group in univariate analysis of the present study. This study has several limitations. Firstly, only nodules confirmed as either primary LC or solitary LM on histopathological analysis after surgical resection were included. There was an inherent selection bias towards patients who underwent surgery. Prospective studies (particularly randomized, controlled trials) is needed to confirm our results. Secondly, as this was a single-center and retrospective study, the sample size was relatively small. A study with a larger sample size is needed to validate our results. Thirdly, visual analysis of CT features raises the possibility of inter-observer and intra-observer variability regarding categorization despite the use of consensus reading. For a more accurate interpretation, more quantitative analysis tool such as radiomics would be more helpful. Conclusion Understanding of the CT features of primary LC versus solitary LM allows better discrimination of SPNs in patient with CRC. Furthermore, both CT features of SPNs and clinical characteristics are needed to aid the differentiation between primary LC and solitary LM in CRC patients. Abbreviations SPN: Solitary pulmonary nodule CT: Computed tomography CRC: Colorectal cancer LC: Lung cancer LM: Lung metastasis GGO: Ground-glass opacity Declarations Availability of data and materials The study data is not available Acknowledgements Not applicable Funding This study was supported by a grant (BCRI-20074) of Chonnam National University Hospital Biomedical Research Institute. Author Contributions Jong Eun Lee and Yun-Hyeon Kim designed the research; Jong Eun Lee and Won Gi Jeong analyzed data; Jong Eun Lee and Yun-Hyeon Kim wrote the paper. The authors read and approved the final manuscript. Corresponding author Correspondence to Yun-Hyeon Kim Ethics approval and consent to participate This study was performed in accordance with the principles of the Declaration of Helsinki and Good Clinical Practice guidelines. This study was approved by the Institutional Review Board of Chonnam Hwasun National University Hospital (Approval number : IRB.CNUHH-2020-077). 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-94547","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research","associatedPublications":[],"authors":[{"id":3756741,"identity":"e247af8c-acb5-4551-958c-034f5b61fecd","order_by":0,"name":"Jong Eun Lee","email":"","orcid":"https://orcid.org/0000-0002-8754-6801","institution":"Chonnam National University Hospital","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Jong","middleName":"Eun","lastName":"Lee","suffix":""},{"id":3756742,"identity":"c0902914-67f9-41b9-95ea-82dc3eb1e4d0","order_by":1,"name":"Won Gi Jeong","email":"","orcid":"","institution":"Chonnam National University Hwasun Hospital","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Won","middleName":"Gi","lastName":"Jeong","suffix":""},{"id":3756743,"identity":"881288fb-be36-4218-a1f4-2d90a169a6c0","order_by":2,"name":"Yun-Hyeon Kim","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0UlEQVRIie3OsQrCMBDG8c/FKdj1iqI+QqRQHIq+SkWIS90dHDJ1EmfBlzktdIrOFX0IQXAUK9pRoptg/kuOIz84wOX6xagOhiThlc9z8RmZRS1ff0MAoyLJ1cIm5DEdbQ9pJoLNLifMB/DXbCGnnLNpSULeK0I+RrMRW0gx0S9iQkKd0Ra2wyoS6Ae5fUQUZ4lRQqIktZTRtBG/UHGWzCJBbIL+aDkW/sJCGoUKLomkobcyveJ8HbTJWEiXq4nKKQZsZwEdXU2efv/L5XK5/rs7eJdFiEgRiqAAAAAASUVORK5CYII=","orcid":"","institution":"Chonnam National University Medical School","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Yun-Hyeon","middleName":"","lastName":"Kim","suffix":""}],"badges":[],"createdAt":"2020-10-18 21:58:55","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-94547/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-94547/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s12957-021-02131-7","type":"published","date":"2021-01-24T15:01:38+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":3154070,"identity":"29ab059f-0921-41d4-8c98-c5f718283389","added_by":"auto","created_at":"2020-10-23 14:02:06","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":1053712,"visible":true,"origin":"","legend":"CT findings of primary lung cancer (LC) and solitary lung metastasis (LM).\nA.\tLung window image of contrast-enhanced chest CT scan showing a solitary nodule (white arrows) with sub-solid density, spiculated smooth margin, and presence of an air-bronchogram (black arrow) in the right upper lobe. The nodule was histopathologically confirmed to be LC.\nB.\tLung window image of contrast-enhanced chest CT scan showing a solitary nodule (white arrows) with solid density and lobulated margin in the right lower lobe. The nodule was histopathologically confirmed to be LM.\n","description":"","filename":"Fig1.png","url":"https://assets-eu.researchsquare.com/files/rs-94547/v1/05e1cc0651de030d8ae83705.png"},{"id":3154071,"identity":"ad52b870-3583-4a76-b859-d1f8fb20a2bf","added_by":"auto","created_at":"2020-10-23 14:02:06","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":47385,"visible":true,"origin":"","legend":"Receiver operating characteristic curves for assessing the ability of CT features, both alone and in combination with clinical characteristics, to discriminate primary lung cancer from solitary lung metastases.","description":"","filename":"Fig2.png","url":"https://assets-eu.researchsquare.com/files/rs-94547/v1/d4662818d933c42f914b648d.png"},{"id":13605537,"identity":"c5ce4919-c77b-471e-a7a0-87a3e347f3a0","added_by":"auto","created_at":"2021-09-17 06:03:51","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1705102,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-94547/v1/067355d3-8b55-4940-b691-a2ead53b5c45.pdf"}],"financialInterests":"","formattedTitle":"\u003cp\u003eDifferentiation of Primary Lung Cancer from Solitary Lung Metastasis in Patients with Colorectal Cancer Using Computed Tomography Features and Clinical Characteristics : A Retrospective Cohort Study\u003c/p\u003e","fulltext":[{"header":"Introduction","content":" \u003cp\u003eChest computed tomography (CT) is an important surveillance tool for pulmonary metastases. As the lung is a common site of metastasis in colorectal cancer (CRC) and chest CT supports improved identification of pulmonary nodules, many current guidelines recommend chest CT in pre-operative evaluation and post-operative surveillance of patients with CRC [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. Detection of multiple pulmonary nodules supports a diagnosis of metastasis [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. However, diagnosis is more difficult when a solitary pulmonary nodule (SPN) is detected because primary lung cancer (LC) can mimic a solitary lung metastasis (LM) in patients with CRC. Furthermore, 10% of pulmonary metastases are present as SPNs in patients with CRC. This rate is higher than that in patients with other extra-thoracic malignancies [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Therefore, it is sometimes difficult to determine whether a SPN is a primary LC or a solitary LM.\u003c/p\u003e \u003cp\u003eSurgical strategies for treating primary LC and solitary LM are quite different. The treatment of choice for LM is minimally invasive surgical resection in order to preserve as much healthy lung parenchyma as possible in case repeat operations are needed. However, complete surgical resection with lobectomy and mediastinal lymph node dissection is the gold standard for LC [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eImage-guided needle biopsies may be useful for distinguishing between primary LC and solitary LM before surgical planning. However, it is difficult and risky to perform needle biopsies in some cases, especially for those with small lesions. Additionally, the small volume of biopsy specimen obtained can sometimes impede histological differentiation between primary LC and solitary LM.\u003c/p\u003e \u003cp\u003eImaging characteristics of SPN can be used for non-invasive alternatives to determine whether a SPN is a primary LC or a solitary LM. However, compared to the generally accepted imaging findings of metastatic nodules including multiple peripherally located round variable sized nodules [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e], the comparison of imaging findings between primary LC and solitary LM are not well established. Therefore, the aim of this study was to determine clinical characteristics and CT features that could be used to differentiate between primary LC and solitary LM in patients with CRC.\u003c/p\u003e "},{"header":"Materials And Methods","content":" \u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003ePatients\u003c/h2\u003e \u003cp\u003eWe retrospectively reviewed CRC patients by searching electronic medical records from January 2011 to December 2019\u0026nbsp;at a single tertiary referral center. Patients with the following criteria were included: presence of a SPN which measured less than 30\u0026nbsp;mm on pre-diagnostic chest CT image, evidence of malignant potential such as size growth of a SPN that has increased in diameter of at least 2\u0026nbsp;mm, and availability of histopathologic report by thoracoscopic wedge resection. To this initial inclusion of 224 patients, we applied the exclusion criteria of patients whose SPN was not diagnosed as either primary LC or solitary LM (n\u0026thinsp;=\u0026thinsp;13) and patients whose SPN deemed too small to characterize at pre-diagnostic chest CT image (less than 8\u0026nbsp;mm) (n\u0026thinsp;=\u0026thinsp;12). Finally, 199 CRC patients were enrolled in this study (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eClinical Characteristics of Patients\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLC\u003c/p\u003e \u003cp\u003e(n\u0026thinsp;=\u0026thinsp;70)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eLM\u003c/p\u003e \u003cp\u003e(n\u0026thinsp;=\u0026thinsp;129)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eP value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAge (years)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e68.53\u0026thinsp;\u0026plusmn;\u0026thinsp;8.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e64.55\u0026thinsp;\u0026plusmn;\u0026thinsp;1.72\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.004\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSex (M/F)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e44/26\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e87/42\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.515\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHistory of smoking\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e37 (52.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e49 (38)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.043\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIndex tumor location\u003c/p\u003e \u003cp\u003eColon\u003c/p\u003e \u003cp\u003eRectum\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e41 (58.6)\u003c/p\u003e \u003cp\u003e29 (41.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e47 (36.4)\u003c/p\u003e \u003cp\u003e82 (63.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.003\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIndex tumor stage\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eStage I-II\u003c/p\u003e \u003cp\u003eStage III-IV\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e53 (75.7)\u003c/p\u003e \u003cp\u003e17 (24.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e29 (22.5)\u003c/p\u003e \u003cp\u003e100 (77.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHistopathology of the pulmonary nodule\u003c/p\u003e \u003cp\u003eMetastatic\u003c/p\u003e \u003cp\u003eAdenocarcinoma\u003c/p\u003e \u003cp\u003eSquamous cell carcinoma\u003c/p\u003e \u003cp\u003eSmall cell carcinoma\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e55 (78.6)\u003c/p\u003e \u003cp\u003e14 (20)\u003c/p\u003e \u003cp\u003e1 (1.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e129 (100)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eN/A\u003csup\u003e++\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e \u003cp\u003eValues in parentheses are percentages. Values are presented as mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation where applicable.\u003c/p\u003e \u003cp\u003eNote: significant P values are shown in bold\u003c/p\u003e \u003cp\u003eLC, lung cancer; LM, lung metastases\u003c/p\u003e \u003cp\u003e\u003csup\u003e++\u003c/sup\u003eN/A, not applicable\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eHistopathological diagnosis\u003c/h2\u003e \u003cp\u003ePatients were divided into two groups based on histopathology: those with primary LC and those with solitary LM. Histopathological differentiation between primary LC and solitary LM was achieved by performing a comprehensive histological assessment and immunohistochemistry staining. Nodules of different histological types including squamous cell carcinoma and small cell carcinoma were considered to be primary LC. Nodules with morphological features of pulmonary adenocarcinoma and positive staining for CK7 and TTF-1 were also considered to be primary LC. Nodules with morphological features of enteric adenocarcinoma, positive staining for CK20, and negative staining for TTF-1 were considered to be solitary LM [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e].\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eImaging protocols\u003c/h2\u003e \u003cp\u003eChest CT scans including high resolution CT were obtained using a Lightspeed 16 (n\u0026thinsp;=\u0026thinsp;87; GE Medical Systems, Milwaukee, Wisconsin, USA), a Lightspeed VCT (n\u0026thinsp;=\u0026thinsp;68; GE Medical Systems, Milwaukee, Wisconsin, USA), a Somatom Definition Flash multi-detector CT system (n\u0026thinsp;=\u0026thinsp;32; Siemens Medical Systems, Erlangen, Germany), or a Revolution (n\u0026thinsp;=\u0026thinsp;11; GE Medical Systems, Milwaukee, Wisconsin, USA). For Lightspeed VCT, Lightspeed 16, and Revolution, the following parameters were used: reconstruction thickness of the enhanced CT scan, 2.5\u0026nbsp;mm; rotation time, 0.5 to 0.8 sec; peak kilovoltage, 120 kVp; and tube current, 220 mAs. For Somatom Definition Flash, the following parameters were used: reconstruction thickness, 2.5 or 3.0\u0026nbsp;mm; rotation time, 0.5 sec; peak kilovoltage, 120 kVp; and tube current, 110 mAs. Contrast-enhanced chest CT images were obtained after an intravenous injection of 120 to 130\u0026nbsp;mL nonionic contrast medium (either iohexol [Omnipaque\u0026reg;, GE Healthcare, Amersham, UK] or iopromide [Ultravist 300\u0026reg;, Bayer Schering Pharma, Berlin, Germany]) at an average injection rate of 2\u0026nbsp;mL/sec.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eAnalysis of CT features\u003c/h2\u003e \u003cp\u003eChest CT images were interpreted independently by two thoracic radiologists with 20 and 8\u0026nbsp;years of experience, respectively. They were blinded to clinical and histopathologic information of patients. If interpretations differed, the decision was made based on consensus reading of two designated thoracic radiologists.\u003c/p\u003e \u003cp\u003eQualitative CT features such as location (upper or non-upper, central or peripheral), margin (smooth, lobulated, or spiculated), and density (solid or sub-solid) of pulmonary nodules and the presence of an air-bronchogram, cavitation, pleural tags, pleural abutment, or background emphysema were assessed. A central location was defined as the area within 2\u0026nbsp;cm of the pulmonary hilum [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. Nodules were classified as smooth, lobulated, or spiculated based on margin characteristics (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Nodules were classified as having a sub-solid density if they contained a portion of ground-glass opacity (GGO) without completely obscuring bronchial or vascular margins of the lung parenchyma (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e) [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. An air-bronchogram was defined as a gas-filled bronchus surrounded by abnormal lung parenchyma (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e) [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Pleural tags were defined as linear strands that extended between nodule surface and adjacent pleural surface [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e].\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eQuantitative CT features such as sizes of lung nodules were also assessed. The size of a nodule was measured using the longest diameter, including any portion of GGO seen on axial CT images obtained with lung window settings.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003eStatistical analysis\u003c/h2\u003e \u003cp\u003eAll statistical analyses were performed using SPSS software, version 25.0 (IBM Corp., Armonk, NY, USA). CT features of primary LC and solitary LM were compared using Pearson Chi-square test for categorical variables and independent t-test for continuous variables.\u003c/p\u003e \u003cp\u003eInter-reader agreement for CT features was assessed by percent of concordant cases and Kappa of agreement with 95% confidence intervals [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. Univariate and multivariate logistic regression analyses were used to evaluate which factors were predictive of differentiation between the two groups. In initial univariate analysis, a \u003cem\u003eP\u003c/em\u003e value of \u0026lt;\u0026thinsp;0.25 was used as the threshold for retaining factors in multivariate analysis [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. A receiver operating characteristic (ROC) curve was drawn to discriminate LC from LM according to each significant clinical characteristic and CT feature. Corresponding area under the curve (AUC) was calculated. Statistical significance was considered when p-value was less than 0.05.\u003c/p\u003e \u003c/div\u003e "},{"header":"Results","content":" \u003cp\u003eClinical characteristics of patients enrolled in this study are summarized in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. The mean age of patients was 65.95\u0026thinsp;\u0026plusmn;\u0026thinsp;1.5\u0026nbsp;years. There were 131 men and 68 women. In CRC patients, preoperative and surveillance chest CTs revealed 78 and 121 SPNs, respectively. The proportion of patients in which the index tumor was located in the rectum was significantly higher in the solitary LM group than that in the primary LC group (63.6% vs. 41.4%, \u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.003). According to the American Joint Committee on Cancer tumor-node-metastasis staging system [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e], the proportion of patients with clinical stage I-II index tumor was significantly higher in the primary LC group than that in the solitary LM group (77.5% vs. 24.3%, \u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001).\u003c/p\u003e \u003cp\u003eCT features of SPNs were compared between primary LC and solitary LM groups (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). The mean size of nodules was significantly greater in the primary LC group (1.91\u0026nbsp;cm; IQR: 1.50\u0026ndash;2.25\u0026nbsp;cm) than the solitary LM group (1.49\u0026nbsp;cm; IQR: 1.00 \u0026minus;\u0026thinsp;1.70\u0026nbsp;cm) (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eComparison of CT Features of SPNs\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLC\u003c/p\u003e \u003cp\u003e(n\u0026thinsp;=\u0026thinsp;70)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eLM\u003c/p\u003e \u003cp\u003e(n\u0026thinsp;=\u0026thinsp;129)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eP value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSize\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.91\u0026thinsp;\u0026plusmn;\u0026thinsp;0.55\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.49\u0026thinsp;\u0026plusmn;\u0026thinsp;0.62\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCranial-caudal location\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.188\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUpper\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e35 (50.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e52 (40.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNon-upper\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e35 (50.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e77 (59.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAxial location\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.105\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCentral\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e12 (17.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e12 (9.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePeripheral\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e58 (82.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e117 (90.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMargin\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSmooth\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7 (10)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e54 (41.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLobulated\u003c/p\u003e \u003cp\u003eSpiculated\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e30 (42.9)\u003c/p\u003e \u003cp\u003e33 (47.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e68 (52.7)\u003c/p\u003e \u003cp\u003e7 (5.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDensity\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSolid\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e47 (67.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e128 (99.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSub-solid\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e23 (32.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1 (0.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAir-bronchogram\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e30 (42.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e7 (5.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCavitation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e13 (18.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e19 (14.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.296\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePleural tags\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e41 (58.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e25 (19.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePleural abutment\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e32 (45.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e53 (41.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.528\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBackground emphysema\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e18 (25.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e13 (10.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.004\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"4\" nameend=\"c4\" namest=\"c1\"\u003e \u003cp\u003eValues in parentheses are percentages. Values are presented as mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation where applicable.\u003c/p\u003e \u003cp\u003eNote: significant P values are shown in bold\u003c/p\u003e \u003cp\u003eCT, computed tomography; LC, lung cancer; LM, lung metastases; SPNs, solitary pulmonary nodules\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe proportion of nodules with spiculated margins was significantly higher in the primary LC group than in the solitary LM group (47.1% vs. 5.4%, \u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001). The proportion of nodules with a sub-solid density was significantly higher in the primary LC group than in the solitary LM group (32.9% vs. 0.8%, \u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001). Air-bronchograms were significantly more frequent in the primary LC group than in the solitary LM group (42.9% vs. 5.4%, \u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001). Pleural tags were significantly more frequent in the primary LC group than in the solitary LM group (58.6% vs. 19.4%, \u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001). There were no statistically significant differences in the location of nodules or the presence of cavitation between the two groups (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eInter-observer agreement for studied CT features was substantial (kappa\u0026thinsp;\u0026gt;\u0026thinsp;0.60, \u0026le; 0.8) for central-peripheral location (kappa\u0026thinsp;=\u0026thinsp;0.66), margin (kappa\u0026thinsp;=\u0026thinsp;0.80), air-bronchogram (kappa\u0026thinsp;=\u0026thinsp;0.71), cavitation (kappa\u0026thinsp;=\u0026thinsp;0.80), pleural tags (kappa\u0026thinsp;=\u0026thinsp;0.80), and pleural abutment (kappa\u0026thinsp;=\u0026thinsp;0.66). It was almost perfect (kappa\u0026thinsp;\u0026gt;\u0026thinsp;0.80) for all remaining CT features (Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eAnalysis of inter-reader agreement showing the percent of concordance and kappa of agreement\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCT features\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNumber (% of concordance)\u003csup\u003e+\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ekappa (95% CIs)\u003csup\u003e++\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCranial-caudal location\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e199/199 (100)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1 (1, 1)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCentral-peripheral location\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e136/199 (68.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.66 (0.50, 0.80)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMargin\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e174/199 (87.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.80 (0.72, 0.87)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDensity\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e192/199 (96.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.83 (0.72, 0.95)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAir-bronchogram\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e182/199 (91.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.71 (0.58, 0.84)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCavitation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e188/199 (94.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.80 (0.69, 0.91)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePleural tags\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e180/199 (90.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.80 (0.71, 0.88)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePleural abutment\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e166/199 (83.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.66 (0.55, 0.77)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBackground emphysema\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e198/199 (99.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.98 (0.94, 1.00)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"3\" nameend=\"c3\" namest=\"c1\"\u003e \u003cp\u003eNote: \u003csup\u003e+\u003c/sup\u003eValues in parentheses are percentages\u003c/p\u003e \u003cp\u003e\u003csup\u003e++\u003c/sup\u003eValues in parentheses are 95% CIs\u003c/p\u003e \u003cp\u003eCI, confidence interval.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003ePredictive parameters for differentiation between primary LC and solitary LM were analyzed using univariate and multivariate logistic regression models (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). Age (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.009), a history of smoking (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.044), a colon location of the index tumor (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.009), a clinical stage I-II CRC (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), size of SPN (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), a spiculated margin (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), a lobulated margin (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.007), sub-solid density (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026le;\u0026thinsp;0.001), presence of an air-bronchogram (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), presence of pleural tags (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001), and background emphysema (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.005) were significant on univariate analysis. On multivariate analysis including these 13 factors as variables of interest, clinical stage I-II CRC (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001, odds ratio (OR) : 21.70), a spiculated margin (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.020, OR: 8.34), a sub-solid density (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001, OR: 115.56), and presence of an air-bronchogram (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.032, OR: 5.32) were significant predictive parameters for discriminating primary LC from LM.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eMultivariate Analysis of Clinical Characteristics and CT features for Discriminating LC from LM\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eUnivariate\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMultivariate\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eOR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eP value\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eOR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eP value\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAge\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.04 (1.01\u0026ndash;1.08)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e0.009\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.05 (0.99\u0026ndash;1.11)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.102\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSmoking\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.83 (1.02\u0026ndash;3.30)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e0.044\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.81 (0.91\u0026ndash;8.64)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.072\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIndex tumor (colon cancer)\u003csup\u003e+\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.47 (1.36\u0026ndash;4.48)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e0.009\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.41 (0.52\u0026ndash;3.85)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.503\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eStage I-II CRC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10.75 (5.42\u0026ndash;21.33)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e21.70 (6.56\u0026ndash;71.73)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSize of SPN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.34 (1.92\u0026ndash;5.83)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.01 (0.70\u0026ndash;4.80)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.197\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUpper lobe location\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.48 (0.82\u0026ndash;2.66)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.189\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.33 (0.46\u0026ndash;3.79)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.600\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCentral location\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.50 (0.21\u0026ndash;1.17)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.110\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.11 (0.55\u0026ndash;8.14)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.280\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSpiculated margin\u003c/p\u003e \u003cp\u003eLobulated margin\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e36.37 (11.71\u0026ndash;112.99)\u003c/p\u003e \u003cp\u003e3.40 (1.39\u0026ndash;8.35)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003cp\u003e\u003cb\u003e0.007\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e8.34 (1.39\u0026ndash;50.08)\u003c/p\u003e \u003cp\u003e2.41 (0.66\u0026ndash;8.89)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003e0.020\u003c/b\u003e\u003c/p\u003e \u003cp\u003e0.186\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSub-solid density\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e62.64 (8.23\u0026ndash;476.85)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e115.56 (9.96\u0026ndash;1341.06)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAir-bronchogram\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e13.07 (5.33\u0026ndash;32.05)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.32 (1.15\u0026ndash;24.51)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003e0.032\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCavitation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.32 (0.61\u0026ndash;2.87)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.482\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePleural tags\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5.88 (3.08\u0026ndash;11.22)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.41 (0.77\u0026ndash;7.53)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.131\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePleural abutment\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.21 (0.67\u0026ndash;2.17)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.529\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBackground emphysema\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.06 (1.40\u0026ndash;6.71)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e0.005\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.83 (0.55\u0026ndash;6.06)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.322\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e \u003cp\u003eData in parentheses are 95% confidence intervals. Each variable with a P value\u0026thinsp;\u0026le;\u0026thinsp;0.25 in univariate analysis was analyzed in the multivariate model. All statistical analyses were performed using the logistic regression model.\u003c/p\u003e \u003cp\u003eNote: significant ORs and P values are shown in bold\u003c/p\u003e \u003cp\u003eCT, computed tomography; LC, lung cancer; LM, lung metastases; OR, odds ratio\u003c/p\u003e \u003cp\u003e\u003csup\u003e+\u003c/sup\u003eReference value is the rectal location of index tumor\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eROC curves were used to assess the discrimination of primary LC from LM using clinical characteristics (clinical stage I-II CRC) and CT features (independent predicted factors: spiculated margin, sub-solid density, and air-bronchogram) both alone and in combination. Areas under ROC curve values of clinical stage I-II CRC, spiculated margin, subsolid density, and airbronchogram were 0.766, 0.772, 0.660, and 0.687, respectively. The area under the ROC curve value was 0.926 when both clinical and CT features were used (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e "},{"header":"Discussion","content":" \u003cp\u003eCT features can be used to differentiate between primary LC and solitary LM. In our multivariate analysis, three CT features of nodules were found to be useful for differentiating primary LC and solitary LM. These were nodules with spiculated margins, sub-solid density, and a presence of air-bronchogram.\u003c/p\u003e \u003cp\u003eMarginal characteristics of nodules can be used to determine whether these nodules are primary or metastatic and whether they are benign or malignant. Previous studies have reported that a smooth or well-defined margin is more common in metastatic nodules than an irregular margin [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. In contrast, up to 80% of primary lung cancer can present with non-smooth margin, especially a spiculated margin which is already well known to be associated with primary lung cancer [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. The proportion of nodules with spiculated margins was significantly higher in patients with primary LC than in patients with solitary LM in both univariate and multivariate analyses of our study. The margin of a nodule appeared more irregular even in solitary LM as the size increased. But a solitary LM tended to show a lobulated margin rather than a spiculated margin in our study.\u003c/p\u003e \u003cp\u003eNodules with a sub-solid density contain a GGO component commonly seen in lepidic growth of primary lung adenocarcinomas [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. Lepidic growth is defined as tumor progression along the alveolar wall. It is typically observed in primary lung adenocarcinomas. Only a few reports have described cases of lepidic growth of pulmonary metastases [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. Typically, pulmonary metastases present as solid, round nodules that are peripherally located [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. In our study, sub-solid density of nodules was mostly observed in primary LC. It was rarely observed in solitary LM. Thus, sub-solid density of SPNs can be used to support a diagnosis of a primary LC rather than a solitary LM.\u003c/p\u003e \u003cp\u003eAn air-bronchogram is defined as an air-containing bronchus or bronchioles within an area of opacification of the surrounding alveoli. The presence of an air-bronchogram within a nodule raises a high suspicion of a primary lung malignancy [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. Air-bronchograms have been reported to occur in primary LC of all histological types [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. Only a few reports have described cases of pulmonary metastases showing air-bronchograms [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. The rate of air-bronchograms within nodules was significantly higher in primary LC than in solitary LM in both univariate and multivariate analysis of our study.\u003c/p\u003e \u003cp\u003ePleural tags are known as interlobular septal thickening of the lung between the nodule and visceral pleura. They may result from localized edema, tumor extension within or outside lymphatic vessels, inflammatory cells, or fibrosis [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. A previous study has reported that pleural tags are commonly seen in primary LC and in up to 80% of surgically resected primary LC without abutting the pleura [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. In the present study, pleural tags were found in 56.4% of primary LC. They were also significantly more frequent in primary LC than in solitary LM in univariate analysis of our study.\u003c/p\u003e \u003cp\u003eBesides CT features, clinical characteristics can also aid the differentiation between primary LC and solitary LM. Several studies have previously characterized indeterminate pulmonary nodules in patients with CRC [\u003cspan additionalcitationids=\"CR24 CR25\" citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. Among factors predicting pulmonary metastasis, presence of lymph node metastasis in patients with CRC has been identified as a significant risk factor [\u003cspan additionalcitationids=\"CR24 CR25\" citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. Kim et al. [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e] have reported that the probability of pulmonary metastasis is low in patients with CRC without hepatic or lymph node metastasis, that is, in clinical stage I-II CRC patients. Similarly, the present study showed that solitary LM was associated with higher clinical stage (III-IV) CRC patients than lower clinical stage CRC patients (I-II) in both univariate and multivariate analyses.\u003c/p\u003e \u003cp\u003ePrevious studies have reported that the location of the index tumor in the rectum rather than the colon is a risk factor of pulmonary metastasis in patients with CRC [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. The venous bloodstream of the rectum bypasses the liver, meaning that the first organ encountered is the lung [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. Similarly, the proportion of index tumors located in the rectum was significantly higher in the solitary LM group than in the primary LC group in univariate analysis of the present study.\u003c/p\u003e \u003cp\u003eThis study has several limitations. Firstly, only nodules confirmed as either primary LC or solitary LM on histopathological analysis after surgical resection were included. There was an inherent selection bias towards patients who underwent surgery. Prospective studies (particularly randomized, controlled trials) is needed to confirm our results. Secondly, as this was a single-center and retrospective study, the sample size was relatively small. A study with a larger sample size is needed to validate our results. Thirdly, visual analysis of CT features raises the possibility of inter-observer and intra-observer variability regarding categorization despite the use of consensus reading. For a more accurate interpretation, more quantitative analysis tool such as radiomics would be more helpful.\u003c/p\u003e "},{"header":"Conclusion","content":" \u003cp\u003eUnderstanding of the CT features of primary LC versus solitary LM allows better discrimination of SPNs in patient with CRC. Furthermore, both CT features of SPNs and clinical characteristics are needed to aid the differentiation between primary LC and solitary LM in CRC patients.\u003c/p\u003e "},{"header":"Abbreviations","content":"\u003cp\u003e\u003cstrong\u003eSPN: \u003c/strong\u003eSolitary pulmonary nodule\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCT: \u003c/strong\u003eComputed tomography\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCRC: \u003c/strong\u003eColorectal cancer\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eLC: \u003c/strong\u003eLung cancer\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eLM: \u003c/strong\u003eLung metastasis\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eGGO: \u003c/strong\u003eGround-glass opacity\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAvailability of data and materials\u003c/h2\u003e\n\u003cp\u003eThe study data is not available\u003c/p\u003e\n\u003ch2\u003eAcknowledgements\u003c/h2\u003e\n\u003cp\u003eNot applicable\u0026nbsp;\u003c/p\u003e\n\u003ch2\u003eFunding\u003c/h2\u003e\n\u003cp\u003eThis study was supported by a grant (BCRI-20074) of Chonnam National University Hospital Biomedical Research Institute.\u0026nbsp;\u003c/p\u003e\n\u003ch2\u003eAuthor Contributions\u003c/h2\u003e\n\u003cp\u003eJong Eun Lee and Yun-Hyeon Kim designed the research; Jong Eun Lee and Won Gi Jeong analyzed data; Jong Eun Lee and Yun-Hyeon Kim wrote the paper. The authors read and approved the final manuscript.\u003c/p\u003e\n\u003ch2\u003eCorresponding author\u003c/h2\u003e\n\u003cp\u003eCorrespondence to Yun-Hyeon Kim\u0026nbsp;\u003c/p\u003e\n\u003ch2\u003eEthics approval and consent to participate\u003c/h2\u003e\n\u003cp\u003eThis study was performed in accordance with the principles of the Declaration of Helsinki and Good Clinical Practice guidelines. This study was approved by the Institutional Review Board of Chonnam Hwasun National University Hospital (Approval number : IRB.CNUHH-2020-077). Informed consent from patients to be included in this study was omitted according to the policy of our Institutional Review Board.\u003c/p\u003e\n\u003ch2\u003eConsent for publication\u003c/h2\u003e\n\u003cp\u003eInformed consent from patients to be included in this study was omitted according to the policy of our IRB.\u003c/p\u003e\n\u003ch2\u003eCompeting interests\u003c/h2\u003e\n\u003cp\u003eThe authors declare that they have no competing interests\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eDurani U, Asante D, Halfdanarson T, Heien HC, Sangaralingham L, Thompson CA, Peethambaram P, Quevedo FJ, Go RS: \u003cstrong\u003eUse of Imaging During Staging and Surveillance of Localized Colon Cancer in a Large Insured Population.\u003c/strong\u003e \u003cem\u003eJ Natl Compr Canc Netw \u003c/em\u003e2019, \u003cstrong\u003e17:\u003c/strong\u003e1355-61.\u003c/li\u003e\n\u003cli\u003eVarol Y, Varol U, Karaca B, 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pleural invasion of non\u0026ndash;small cell lung cancer that does not abut the pleura.\u003c/strong\u003e \u003cem\u003eRadiology \u003c/em\u003e2016, \u003cstrong\u003e279:\u003c/strong\u003e590-6.\u003c/li\u003e\n\u003cli\u003eKim CH, Huh JW, Kim HR, Kim YJ: \u003cstrong\u003eIndeterminate pulmonary nodules in colorectal cancer: follow-up guidelines based on a risk predictive model.\u003c/strong\u003e \u003cem\u003eAnn Surg \u003c/em\u003e2015, \u003cstrong\u003e261:\u003c/strong\u003e1145-52.\u003c/li\u003e\n\u003cli\u003eNordholm-Carstensen A, Wille-J\u0026oslash;rgensen PA, Jorgensen LN, Harling H: \u003cstrong\u003eIndeterminate pulmonary nodules at colorectal cancer staging: a systematic review of predictive parameters for malignancy.\u003c/strong\u003e \u003cem\u003eAnn Surg Oncol \u003c/em\u003e2013, \u003cstrong\u003e20:\u003c/strong\u003e4022-30.\u003c/li\u003e\n\u003cli\u003eJung EJ, Kim SR, Ryu CG, Paik JH, Yi JG, Hwang DY: \u003cstrong\u003eIndeterminate pulmonary nodules in colorectal cancer.\u003c/strong\u003e \u003cem\u003eWorld J Gastroenterol \u003c/em\u003e2015, \u003cstrong\u003e21:\u003c/strong\u003e2967.\u003c/li\u003e\n\u003cli\u003eGriffiths S, Shaikh I, Tam E, Wegstapel H: \u003cstrong\u003eCharacterisation of indeterminate pulmonary nodules in colorectal cancer.\u003c/strong\u003e \u003cem\u003eInt J Surg \u003c/em\u003e2012, \u003cstrong\u003e10:\u003c/strong\u003e575-7.\u003c/li\u003e\n\u003cli\u003eKim HY, Lee SJ, Lee G, Song L, Kim S-A, Kim JY, Chang DK, Rhee P-L, Kim JJ, Rhee JC: \u003cstrong\u003eShould preoperative chest CT be recommended to all colon cancer patients?\u003c/strong\u003e \u003cem\u003eAnn Surg \u003c/em\u003e2014, \u003cstrong\u003e259:\u003c/strong\u003e323-28.\u003c/li\u003e\n\u003cli\u003eRiihim\u0026auml;ki M, Hemminki A, Sundquist J, Hemminki K: \u003cstrong\u003ePatterns of metastasis in colon and rectal cancer.\u003c/strong\u003e \u003cem\u003eSci Rep \u003c/em\u003e2016, \u003cstrong\u003e6:\u003c/strong\u003e1-9.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"world-journal-of-surgical-oncology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"wjso","sideBox":"Learn more about [World Journal of Surgical Oncology](http://wjso.biomedcentral.com)","snPcode":"12957","submissionUrl":"https://submission.nature.com/new-submission/12957/3","title":"World Journal of Surgical Oncology","twitterHandle":"@OncoBioMed","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"solitary pulmonary nodule (SPN), lung cancer (LC), solitary lung metastasis (LM), colorectal cancer (CRC)","lastPublishedDoi":"10.21203/rs.3.rs-94547/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-94547/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003ePurpose\u003c/strong\u003e: To evaluate the features of solitary pulmonary nodule (SPN) that can be used to differentiate between primary lung cancer (LC) and solitary lung metastasis (LM) in patients with colorectal cancer (CRC).\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eMaterials and Methods\u003c/strong\u003e: This retrospective study included SPNs resected in CRC patients between 2011 and 2019. The diagnosis of primary LC or solitary LM was based on histopathologic report by thoracoscopic wedge resection. Chest computed tomography (CT) images were assessed by two thoracic radiologists, and features were identified by consensus. Predictive parameters for the discrimination of primary LC from solitary LM were evaluated using multivariate logistic regression analysis.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eResults\u003c/strong\u003e: We analyzed 199 patients (mean age, 65.95 years; 131 men). The clinical characteristics suggestive of primary LC rather than solitary LM was clinical stage I-II CRC (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.001, odds ratio (OR): 21.70). The CT features of SPNs indicative of primary LC rather than solitary LM were a spiculated margin (\u003cem\u003eP\u003c/em\u003e = 0.020, OR: 8.34), a sub-solid density (\u003cem\u003eP\u003c/em\u003e \u0026lt; 0.001, OR: 115.56), and presence of an air-bronchogram (OR: 5.32; \u003cem\u003eP \u003c/em\u003e= 0.032).\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConclusions\u003c/strong\u003e: CT features and clinical characteristics of SPNs in patients with CRC could help differentiate between primary LC and solitary LM.\u0026nbsp;\u003c/p\u003e","manuscriptTitle":"Differentiation of Primary Lung Cancer from Solitary Lung Metastasis in Patients with Colorectal Cancer Using Computed Tomography Features and Clinical Characteristics : A Retrospective Cohort Study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2020-10-23 13:47:23","doi":"10.21203/rs.3.rs-94547/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Major 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