Assessing CT imaging features combined with CEA and CA125 levels to identify endometriosis-associated ovarian cancer

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This study compared CT imaging features and tumor markers (CEA and CA125) to differentiate ovarian clear cell carcinoma from endometrioid carcinoma in patients with endometriosis.

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The paper assessed CT imaging features combined with serum CEA and CA125 to differentiate ovarian clear cell carcinoma (CCC) from ovarian endometrioid carcinoma (EC) in patients with long histories of endometriosis, using surgical and pathology-confirmed tumors from 52 CCC and 36 EC cases. It found significant differences between CCC and EC in the number of cysts, mural nodule growth pattern, presence of ascites, and CEA/CA125 levels, with CCC more often showing unilocular cysts, polypoid mural nodules, and no ascites, while EC more often showed multilocular cysts and ascites positivity. CEA positivity was lower in CCC than EC, and ROC analysis identified cut-off values (CEA > 3.270 µg/L; CA125 > 589.40 kU/L) that improved diagnostic efficiency/specificity for distinguishing CCC from EC, with CA125 positivity high in both groups. The study is limited by its single-center, retrospective design and use of only CCC and EC types. This paper is centrally about endometriosis-associated ovarian cancer, specifically using endometriosis history plus CT and tumor-marker patterns to distinguish clear cell versus endometrioid carcinomas.

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Abstract

Purpose To improve the diagnosis and identification of ovarian clear cell carcinoma (CCC) and ovarian endometrioid carcinoma (EC), we evaluated CT imaging findings and cut-off values for CEA and CA125.

Methods

The CT features and tumour markers (tumour size, location, morphology, composition, number of cysts, growth pattern of the mural nodules, mural nodule HWR, enhancement of the mural nodules, ascites, complications, CEA level, CA125 level) of 55 tumours in 52 patients with CCC, confirmed by surgery and pathology at the Yunnan Cancer Hospital from January 1, 2012 to December 30, 2018, were compared with those of 41 tumours in 36 patients with EC. All patients had a long history of endometriosis. Statistical analysis was performed using t test, chi-square test, Mann–Whitney U test, univariate analysis, multivariate logistic regression analysis and receiver-operating characteristic (ROC) curves.

Results

CCC and EC presented as large oval or irregular mixed cystic-solid masses in the pelvic region, with moderately delayed enhancement of the solid components. There was a statistically significant difference between the number of cysts, the growth pattern of the mural nodules, the presence/absence of ascites, and the levels of CEA and CA125 (P < 0.05). Most CCCs had unilocular cysts, mural nodules that were polypoid structures, and no ascites (46/55, 33/55, 42/55); most ECs had multilocular cysts and broad-based nodular structures and were ascites positive (28/41, 31/41, 21/41). The CEA positive rate was lower in the CCC group than in the EC group (2/52, 3.8% versus 11/36, 30.6%, P < 0.05), and the CA125 positive rate was high in both the CCC and EC groups (44/52, 84.6% versus EC = 35/36, 97.2%, P = 0.118). The ROC curves revealed that when the values of CEA and CA125 were higher than the cut-off values (CEA = 3.270 µg/L, CA125 = 589.400 kU/L), the diagnostic efficiency of CEA was 0.723, and the diagnostic specificity of CEA was as high as 0.903.

Conclusions

The number of cysts, growth pattern of the mural nodules, presence/absence of ascites, and levels of CEA and CA125 were useful factors for distinguishing CCC from EC; the best cut-off values of CEA and CA125 for distinguishing CCC from EC were 3.270 and 589.40, respectively. These findings may be helpful for correctly diagnosing and identifying CCC and EC. Similar content being viewed by others Data availability Availability of data and material Please contact author for data requests. Code availability SPSS software 24.0.

References

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All the authors contributed to the data analysis and interpretation. TJ, YZ, AH and YJ contributed equally to writing the manuscript. All the authors read and approved the final manuscript. Corresponding author Ethics declarations Conflict of interest The authors declare that they have no conflicts of interest and complied with ethical standards. Additional information Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Rights and permissions About this article Cite this article Li, M., Tan, J., Zhang, Y. et al. Assessing CT imaging features combined with CEA and CA125 levels to identify endometriosis-associated ovarian cancer. Abdom Radiol 46, 2367–2375 (2021). https://doi.org/10.1007/s00261-020-02571-x Published: Version of record: Issue date: DOI: https://doi.org/10.1007/s00261-020-02571-x

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Condition tags

endometriosis

MeSH descriptors

Endometriosis Endometriosis Endometriosis Ovarian Neoplasms Ovarian Neoplasms Biomarkers, Tumor Carcinoembryonic Antigen China Female Humans Tomography, X-Ray Computed

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