Metal Artefact Reduction Sequences (MARS) in Magnetic Resonance Imaging (MRI) After Total Hip Arthroplasty (THA). A Non-Invasive Approach for Preoperative Differentiation Between Periprosthetic Joint Infection (PJI) and Aseptic Complications?

Metal Artefact Reduction Sequences (MARS) in Magnetic Resonance Imaging (MRI) After Total Hip Arthroplasty (THA). A Non-Invasive Approach for Preoperative Differentiation Between Periprosthetic Joint Infection (PJI) and Aseptic Complications? | 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 Article Metal Artefact Reduction Sequences (MARS) in Magnetic Resonance Imaging (MRI) After Total Hip Arthroplasty (THA). A Non-Invasive Approach for Preoperative Differentiation Between Periprosthetic Joint Infection (PJI) and Aseptic Complications? André Busch, Marcus Jäger, Sascha Beck, Alexander Wegner, Erik Portegys, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-903346/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 4 You are reading this latest preprint version Abstract Background: In the past, radiographic imaging was of minor relevance in the diagnosis of periprosthetic joint infections (PJI). Since metal artefact reduction sequences (MARS) are available, magnetic resonance imaging (MRI) has become a promising diagnostic tool for the evaluation of hip arthroplasty implants. The purpose of the present study was to evaluate the efficacy of MARS MRI in comparison to established diagnostic tools to distinguish between aseptic failure and PJI. Methods: Between July 2018 to September 2019, MARS-MRI was conducted using the optimized parameters at 1.5 T in a coronal and axial STIR (short-tau-inversion recovery), a non-fat-saturated T2 in coronal view and a non-fat-saturated T1 in transverse view in 45 patients with painful hip after THA. Results: Synovial layering and muscle edema were significant features of periprosthetic joint infection, with sensitivities of 100% and specifities of 63.0 - 75.0%. The combined specifity and sensitivity levels of synovial layering and muscular edema was 88.0% and 90.0%. Granulomatous synovitis was a significant feature for aseptic failure, with 90.0% sensitivity and 57.0% specifity. Conclusion: MARS-MRI is as suitable as standard diagnostic tools to distinguish between aseptic failure and PJI in patients with a total hip arthroplasty (TJA). Further studies with larger patient numbers have to prove whether MARS-MRI could be integral part of PJI diagnostic. MARS THA MRI periprosthetic joint infection synovial layering Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Background The main reason for prosthetic failure in total joint arthroplasty (TJA) is aseptic loosening [ 1 ]. Other reasons for prosthetic failure are recurrent dislocations (hip) and periprosthetic joint infections (PJI) [ 2 ]. The five-year incidence of periprosthetic hip joint infections exceeds one percent following primary procedure [ 3 ]. The differentiation between aseptic failure and PJI is of central importance because the treatment of aseptic failure is completely different from the treatment of PJI [ 4 , 5 ]. Serum and synovial biomarkers (CRP, Alpha-1-Defensin) are frequently used to diagnose PJI [ 6 – 8 ]. However, there are cases in which serum and synovial biomarkers fail [ 9 ]. In the past, radiographic tools were of minor importance in ruling out PJI. Conventional X-ray and scintigraphic imaging is not sufficient to differentiate between aseptic processes and PJI [ 10 – 12 ]. Cross-sectional imaging had the disadvantage that metal-induced artefacts result in impaired image quality [ 13 ]. Due to technical innovations such as MARS (metal artefact reduction sequences), it is now possible to assess periprosthetic soft tissue and bone changes in magnetic resonance imaging (MRI)[ 14 , 15 ]. First reports on radiographic imaging via MARS-MRI identified special characteristic features such as granulomatous synovitis and synovial layering to differentiate painful arthroplasty [ 15 , 18 ]. However, until now no study compared the diagnostic value of MARS-MRI in painful hip arthroplasty with those of standard diagnostic tools. The purpose of the current study was to evaluate the accuracy of MARS-MRI in distinguishing between aseptic failure and PJI in painful hip after total hip arthroplasty (THA). The hypothesis to be tested was that MARS-MRI is suitable to differentiate non-invasively between PJI and aseptic complications in THA as valuable as serum and synovial biomarkers do. Methods Study design: After approval from the institutional review board (18-8042-BO), a prospective study was performed in patients with persisting pain [16] after THA. Medical history, clinical examinations, and laboratory values of serum and joint fluid were gathered preoperatively as routine diagnostic procedures. The differentiation between aseptic failure and PJI was made according to the 2018 definition of periprosthetic hip and knee infection [17](Table 1). The criterion for inclusion was persisting pain after THA [16]. Patients were excluded if primary implantation or any surgery on the affected hip had been performed within the last 12 months. Further reasons for exclusion were contraindications for MRI such as cardiac pacemakers. Ethics statement: The study was approved by the ethics committee of the investigating hospital. Written informed consent was obtained from all individual participants included in the study. Patients: From July 2018 to September 2019, 33 patients classified as having an aseptic joint effusion were recruited into the study. The group included 22 women and 11 men with a mean age of 70.4 ± 13.7 (42–88) years. The mean BMI was 28.6 ± 5.4 (21–40). In the same period, 12 patients were classified as having a PJI. The group consisted of 9 women and 3 men with a mean age of 72.5 ± 10.6 (54–88) years. The mean BMI was 29.2 ± 5.0 (21–37). Bacteria were identified in 10 (83%) of 12 patients of the infection group. Staphylococci were found in 6 (60%) and Pseudomonas, Serratiae, Klebsiellae and Lactobacillae were found in one (10 %). In 2 patients (17%) in the infection group, no bacteria could be isolated after 14 days incubation. There were no significant differences in sex, age, and BMI between the cohorts (p > 0.05). Twenty-two patients (15 aseptic and 7 PJI) had ceramic-polyethylene and 23 (17 aseptic and 5 PJI) metal-polyethylene load bearing. In seven patients (6 metal and 1 ceramic head) MRI analysis was not possible due to persisting interfering artefacts. Determination of the Levels of Serum and Synovial Fluid biomarkers: Serum CRP was analyzed by immune turbidimetry (Centaur, Siemens, Germany, normal < 0.5 mg/dl). Synovial leukocyte level and percentage of polymorphic neutrophils were measured by flow cytometry with EDTA (Ethylenediaminetetraacetic acid) plasma (XN 550, Sysmex, Germany) (normal < 3000/μl and < 80%). Synovial biomarkers were analyzed using standard quantitative enzyme immunoassay kits (1. Human α-Defensin 1 Antibody, R&D Systems Bio-Techne, USA, cutoff level 4800 ng/mL; 2. CRP (EU59131), IBL International GmbH, Hamburg, Germany / cut-off level (> 6,9 mg / l)). MR-Imaging A 1.5T Philips Intera (Koninklijke Philips N.V., Amsterdam, Netherlands) MR scanner was used to acquire MR images using a Philips SENSE XL Torso 16-channel coil. Standardized imaging protocols were used containing a short tau inversion recovery sequence (STIR) in coronal (repetition time (TR) 3130 ms, echo time (TE) 35 ms, in plane resolution 0.8 x 0.8 mm, slice thickness 3.5 mm) and transverse view (TR 4428 ms, TE 40 ms, in plane resolution 0.9 x 0.9 mm, slice thickness 3.5 mm), as well as a non-fat-saturated T2 in coronal view (TR 3076 ms, TE 80 ms, in plane resolution 0.7 x 0.7 mm, slice thickness 2.5 mm) and a non-fat-saturated T1 in transverse view (TR 669 ms, TE 10 ms, in plane resolution 0.7 x 0.7 mm, slice thickness 2.5 mm). To reduce metal artefacts all sequences were acquired using Philips MARS technique. MRI Criteria The MRI features used to distinguish between PJI and aseptic complications included edema of the synovium, bone edema, muscle edema, fistulae between the joint space and the surrounding soft tissue, bursitis signs, granulomatous synovitis and lamellation (layering) of the synovium [18–21]. Consistency test: The investigation of the MRI images was performed by two authors (JH, AB). Cases were rereviewed 2 weeks later by each reader. Both readers were not involved in patients recruitment and data collection. Statistical Analysis The data were processed with the statistical software package SPSS. Normally distributed continuous data were shown as mean ± standard deviation (SD) and compared using student's t-test. Non-normally distributed continuous data were shown as mean and compared using the Mann–Whitney U test. A p-value < 0.05 was considered statistically significant. Sensitivity and specificity for any cut-off level were calculated. ROC curves were subsequently constructed by mapping true-positive rate (sensitivity) against false-positive rate (1 − specificity) for each test-joint combination. Inter- and intrareader agreement of imaging findings was assessed with Fleiss’ κ for binary parameters. Results The appearance of synovial layering and granulomatous synovitis in MARS-MRI was significantly higher in PJI than in aseptic complications (p < 0.05). Synovial layering demonstrated a sensitivity of 100% and a specificity of 73% for the diagnosis of PJI in this study. Muscle edema were not significantly higher in PJI than in aseptic complications (p = 0.11). Muscle edema had a specifity and a sensitivity of 65% and 100%, respectively, for the diagnosis of PJI. When synovial layering was combined with muscular edema, the levels of specificity and sensitivity were 88% and 90%, respectively, for the diagnosis of PJI in this study. Granulomatous synovitis was significantly higher in aseptic complications than in PJI (p = 0.03). Granulomatous synovitis had a sensitivity of 90% and a specifity of 57% for the diagnosis of aseptic failure. Acetabular and femoral bone marrow edema were not significantly higher in PJI than in aseptic cohort (p = 0.27 and p = 0.11). Fistulae between the joint space and the surrounding soft tissue and bursitis trochanterica were not significantly higher in PJI than in aseptic complications (p = 0.64 and p = 0.72) (see Table 2a). The mean levels of synovial alpha-1-Defensin were significantly higher in PJI than in aseptic complications (p < 0.01). Synovial alpha-1-defensin showed a sensitivity of 80% and a specifity of % 95 with a cut-off of 4,8 µg/ml. The average levels of synovial (p < 0.01) and serum (p = 0.03) CRP were significantly higher in PJI than in aseptic complications. Serum CRP had a sensitivity of 85% and a specifity of 80%. Synovial CRP showed a sensitivity of 80% and a specifity of 95% (see Table 2b). Discussion The diagnosis of PJI is still a major problem in orthopaedic surgery because so far no “gold-standard” has been established [ 22 ]. Radiographic imaging is a keystone in orthopaedic diagnostics because it is non-invasive and available almost everywhere. However, until recently radiographic imaging was not considered to be suitable to rule out PJI [ 23 ]. Plain radiographs of septic hip prostheses often show normal findings but can exhibit periosteal new bone formation and scattered foci of osteolysis during the subsequent course [ 24 , 25 ]. Cross-sectional imaging in post-arthroplasty hips has always been a challenge because of the susceptibility artefacts on MRI and beam hardening on computed tomography (CT)[ 25 ]. For those reasons, various mitigation strategies have been developed to minimize these artefacts [ 26 – 30 ]. On the one hand, it has been shown that these artefacts increase with a field strength above 1.5 T [ 31 ]. Therefore, the patients in this study were examined at 1.5 T. Determining whether our results can be transferred to higher field strengths will require further investigations. On the other hand, our results were obtained exclusively with the Philips MARS technique; however, overall, several manufacturers have established similar techniques with well-proven capabilities for postoperative metal artifact reduction [ 32 – 34 ]. In our study setting, we were not able to verify transferability to other sequences from other manufacturers; however, the current study landscape suggests that our results can be obtained with similar sequencing techniques from other manufacturers [ 35 – 37 ]. Fritz et al. (2014) were one of the first to describe MRI features in post-arthroplasty hips. Suggestive features for PJI were sinus tracts, abscess formation, bone marrow edema and lymphadenopathy [ 15 ]. No patient in our study suffered from a sinus tract with the evidence of the communication to the joint or the visualization of the prosthesis. The major criterion of the 2018 definition of periprosthetic hip and knee infection was fulfilled. The MRI features in our study included (a) synovial layering; (b) edema of femoral and acetabular bone marrow; (c) muscular edema; (d) granulomatous synovitis; (e) synovial edema; (f) fistulae between the joint space and the surrounding soft tissue; and (g) bursitis trochanterica. Data analysis revealed significant differences between the two cohorts in two parameters. Synovial layering was significantly more frequent ( p = 0.01 ) in patients with PJI than in aseptic complication. Synovial layering was defined as a thickened synovium composed of multiple lamelles. Plodowski et al firstly described the presence of synovial layering at MR imaging of knee arthroplasty. They found that synovial layering had a high sensitivity and specificity for detection of PJI [ 19 ]. According to Plodowski et al, we found synovial layering to have excellent sensitivity (100%) to diagnose PJI. The specifity of synovial layering with 73% is, however, limited. To increase specifity in diagnosis of PJI the combination of synovial layering and edema in the surrounding muscle tissue can be applied (specifity of synovial layering and muscle edema combined = 88%). However, the sensitivity of combined synovial layering and muscle edema is below the sensitivity of synovial layering alone (90% vs. 100%). In TJA polyethylene debris causes synovitis, cytokine driven up-regulation of osteoclasts and down regulation of osteoblasts resulting in osteolysis with consecutive implant loosening [ 38 ]. Many efforts have been made to improve durability of polyethylene implants in TJA. By introduction of cross-linked and Vitamin-E supplemented polyethylene implants the wear rates could be decreased. However, polyethylene wear debris induced periprosthetic osteolysis remains one of the main causes for aseptic loosening in THA [ 39 ]. MARS-MRI was described to be an appropriate modality to detect polyethylene wear debris induced synovitis [ 15 ]. Polyethylene wear–induced synovitis was characterized to occur as an expansion of the hip pseudocapsule by a thick and particulate appearing synovitis of low to intermediate signal intensity in MRI [ 40 ]. In our study, granulomatous synovitis was significant more often ( p = 0.03 ) in aseptic complications than in PJI. With a sensitivity of 10%, granulomatous synovitis is not suitable to detect PJI. Conversely, granulomatous synovitis seems to be appropriate to diagnose aseptic complication. The intermediate specifity (43%) of granulomatous synovitis to detect PJI might result from an additional occurrence of aseptic soft-tissue reaction due to wear debris. To our best knowledge, this is one of the first studies reporting on clinical, laboratory and MRI data of patients suffering from painful hip after THA [ 18 ]. Our findings indicate that MARS-MRI is a suitable modality for the evaluation of soft and bone tissue adjacent to hip arthroplasty implants. The occurrence of synovial layering and muscle edema combined significantly differed between PJI and aseptic complications ( p = 0.01 ). The accuracy of MARS- MRI parameters were comparable with those of standard serum and synovial biomarkers. Synovial layering and muscle edema combined had the highest AUC level (0.93), even higher than those of synovial CRP (0.92) and synovial AD-1 (0.90) (see table 2). MARS-MRI may improve the planning of revision arthroplasty in ambiguous cases. The risk of overlooked PJI with the need of further surgery might be reduced. Previous studies by Fritz et al (2014) and Jiang et al (2016) investigating MRI strategies for hip arthroplasty implants have reported similar results [ 15 , 41 ]. Schwaiger et al (2020) also found MRI with metal artifact reduction to be accurate to differentiate between patients PJI and aseptic loosening. In contrast to our study, Schwaiger et al (2020) additionally evaluated patients without aseptic implant loosening and without PJI as a reference group. They found STIR signal hyperintensity in surrounding acetabular and femoral bone marrow indicating edema significantly higher in PJI and aseptic loosening than in the reference group (p < 0.001). The specifity and sensitivity of acetabular bone marrow edema was described to be 88% and 63%, respectively. The specifity and sensitivity of femoral bone marrow edema was found to be 68% and 91%, respectively [ 42 ]. These data also argue in favour of using MARS MRI in diagnostic of painful hip after THA because the pathological findings in PJI and aseptic loosening are statistically less frequent in patients without aseptic implant loosening and without PJI. The current study has limitations. Firstly, in 15% (7/45) the metal artefact reduction was insufficient to allow the MR images to be evaluated. Therefore, further research to decrease the occurrence metal artefacts needs to be performed. Standard protocols with defined MRI features have to be implemented. Furthermore, the small number of patients does not allow statistical conclusions. Another problem in research on PJI is the lack of an internationally recognized definition for PJI. At present, there are no tests that can definitively exclude infection [ 43 ]. This requires a combination of tests with high statistical power allowing the clinician to rule out or to confirm PJI. Over the years, a variety of attempts was conducted to define criteria for diagnosing PJI [ 43 ]. The evidence-based 2018 definition of periprosthetic hip and knee infection which we used to distinguish between PJI and aseptic complications is widely adopted and was demonstrated to have higher sensitivity and equal specificity compared to existing criteria [ 17 , 44 , 45 ]. However, the definition was supported by only 68% of delegates at the reconvened ICM (International Consensus Meeting on Musculoskeletal Infection) in 2018 and also not endorsed by MSIS (Musculoskeletal Infection Society) [43,46]. The significant rates of false-positive and false negative test were repeatedly criticized. Even combining tests did not resolve this problem [ 43 ]. Furthermore, the diagnostic performance of the 2018 definition was found to better in hip than in knee [ 45 ]. Recent research and committee work led to the publication of the EBJIS definition of periprosthetic joint infection in 2019 [ 43 ]. It was stated that it was not practical to have a binary definition; infected or not infected. Therefore, a three-level definition is proposed [ 43 ]. Infection unlikely. Infection likely. Infection confirmed. It is crucial to note that the significance of each test is different in each group. The group “Infection likely” representing the overlap between aseptic and septic cases should alert the clinician that an infection is not ruled out and further comprehensive investigations are needed. However, multiple positive suggestive tests in this group do not confirm infection. This requires an identification of a positive test from the confirmatory criteria [ 43 ]. We were able to confirm the hypothesis that MRI is suitable to differentiate non-invasively between PJI and aseptic complications in THA without using contrast agents, radioactive tracers. Our data suggest that MARS-MRI is as valuable as determination of serum and synovial biomarkers to differentiate between septic and aseptic complication in TJA. Conclusion MARS-MRI appears to be a reliable method of distinguishing between aseptic complications and PJI. The combination of synovial layering and surrounding muscle edema seems to be an indicator for PJI. Further research with standardized protocols and higher patient numbers has to be performed to investigate the role of MARS-MRI in the diagnosis of PJI. Abbreviations PJI Periprosthetic joint infection MARS Metal artefact reduction sequences MRI Magnetic resonance imaging STIR short-tau-inversion recovery TJA Total joint arthroplasty THA Total hip arthroplasty EDTA Ethylenediaminetetraacetic acid TR Repetition time SD Standard deviation CT Computertomography AD-1 alpha-1-Defensin CRP C-reactive proteine Declarations Ethics approval and consent to participate: The study was approved by the ethics committee University of Duisburg-Essen (18–8042-BO). All patients signed informed consent forms prior to being enrolled. Consent for publication: All patients consented to publish personal data in an anonymized form. Availability of data and material: All patient-related data were collected by file research from the archives of the participating centers. Competing interest: The authors declare that they have no competing interests. Funding: Johannes Haubold received financial support by the DFG (German Research Foundation)-funded Clinician Scientist Program of the University Medicine Essen Clinician Scientist Academy (UMEA) (FU 356/12-1). Authors contributions: All authors ensured that they had furnished a substantial contribution to the article and that they are in agreement with form and contents of the manuscript. MJ and JT analysed and interpreted the patient data regarding the scientific relevance and supervised the study. DW and AB conceived the study and wrote the article. EP and SB were responsible for patient recruitment. AB and JH analyzed radiographic images. AB and AW performed the statistical analysis. The authors read and approved the final manuscript. Acknowledgements: Not applicable References Otto-Lambertz C, Yagdiran A, Wallscheid F, Eysel P, Jung N. Periprosthetic Infection in Joint Replacement. 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PMID: 28934809. Liebl H, Heilmeier U, Lee S, Nardo L, Patsch J, Schuppert C, et al. In vitro assessment of knee MRI in the presence of metal implants comparing MAVRIC-SL and conventional fast spin echo sequences at 1.5 and 3 T field strength. J Magn Reson Imaging JMRI. 2015;41: 1291–1299. doi:10.1002/jmri.24668 Busch A, Jäger M; VITAS group, Wegner A, Haversath M. Vitamin E-blended versus conventional polyethylene liners in prostheses : Prospective, randomized trial with 3-year follow-up. Orthopade. 2020 Dec;49(12):1077-1085. English. doi: 10.1007/s00132-019-03830-6. PMID: 31696260. Busch A, Jäger M, Klebingat S, Baghdadi J, Flörkemeier T, Hütter F, Grupp TM; VITAS-Group, Haversath M. Vitamin E-blended highly cross-linked polyethylene liners in total hip arthroplasty: a randomized, multicenter trial using virtual CAD-based wear analysis at 5-year follow-up. Arch Orthop Trauma Surg. 2020 Dec;140(12):1859-1866. doi: 10.1007/s00402-020-03358-x. Epub 2020 Feb 12. PMID: 32048017. Malchau H, Potter HG; Implant Wear Symposium 2007 Clinical Work Group. How are wear-related problems diagnosed and what forms of surveillance are necessary? J Am Acad Orthop Surg. 2008;16 Suppl 1:S14-9. doi: 10.5435/00124635-200800001-00005. PMID: 18612008. Jiang M-H, He C, Feng J-M, Li Z-H, Chen Z, Yan F-H, et al. Magnetic resonance imaging parameter optimizations for diagnosis of periprosthetic infection and tumor recurrence in artificial joint replacement patients. Sci Rep. 2016;6: 36995. doi:10.1038/srep36995 Schwaiger BJ, Gassert FT, Suren C, Gersing AS, Haller B, Pfeiffer D, Dangelmaier-Dawirs J, Roski F, von Eisenhart-Rothe R, Prodinger PM, Woertler K. Diagnostic accuracy of MRI with metal artifact reduction for the detection of periprosthetic joint infection and aseptic loosening of total hip arthroplasty. Eur J Radiol. 2020 Oct;131:109253. doi: 10.1016/j.ejrad.2020.109253. Epub 2020 Aug 31. PMID: 32937252. McNally M, Sousa R, Wouthuyzen-Bakker M, et al. The EBJIS definition of periprosthetic joint infection. Bone Joint J. 2021;103-B(1):18-25. doi:10.1302/0301-620X.103B1.BJJ-2020-1381.R1 Guan, H., Fu, J., Li, X. et al. The 2018 new definition of periprosthetic joint infection improves the diagnostic efficiency in the Chinese population. J Orthop Surg Res 14, 151 (2019). https://doi.org/10.1186/s13018-019-1185-y Abdelaziz H, Rademacher K, Suero EM, Gehrke T, Lausmann C, Salber J, Citak M. The 2018 International Consensus Meeting Minor Criteria for Chronic Hip and Knee Periprosthetic Joint Infection: Validation From a Single Center. J Arthroplasty. 2020 Aug;35(8):2200-2203. doi: 10.1016/j.arth.2020.03.014. Epub 2020 Mar 13. PMID: 32247671. Tables Table 1 2018 Definition of periprosthetic hip and knee infection Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 15 Mar, 2022 Reviewers invited by journal 10 Mar, 2022 Editor assigned by journal 09 Mar, 2022 First submitted to journal 21 Feb, 2022 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-903346","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":89881775,"identity":"43b460a4-c499-46ff-8b3d-3bcc67bc16f4","order_by":0,"name":"André Busch","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA10lEQVRIiWNgGAWjYFACHhBxQE6CBy6SQJwWY9K1JM4gWgt/A+8xyR81d9Jn9hxgfPjjj00eA3vyAbxaJA7wpUnzHHuWO5u3gdmYty2tmIHnGQFrDvCYSTM2HM6dx8//DcRIbJDIMcCrQx6oRfJnw+F0OX4G9p8//vwHasn/gFeLAVCLBG/D4QRp3gY2Bh62AyBb8LvL8DBfsjXPscOGQO8zS/O2JSe28TzD7zC5470Hb/6oOSwvcSaB8eOPP3aJ/ezJD/Bbw4wuwIZf/SgYBaNgFIwCYgAAzklDqZf/VE4AAAAASUVORK5CYII=","orcid":"","institution":"Universität Duisburg-Essen Medizinische Fakultät: Universitat Duisburg-Essen Medizinische Fakultat","correspondingAuthor":true,"prefix":"","firstName":"André","middleName":"","lastName":"Busch","suffix":""},{"id":89881776,"identity":"33be5a65-5f26-41be-8889-a8dcd8968727","order_by":1,"name":"Marcus Jäger","email":"","orcid":"","institution":"Universität Duisburg-Essen Medizinische Fakultät: Universitat Duisburg-Essen Medizinische Fakultat","correspondingAuthor":false,"prefix":"","firstName":"Marcus","middleName":"","lastName":"Jäger","suffix":""},{"id":89881777,"identity":"5aee25e3-4907-4076-a477-1561446153cb","order_by":2,"name":"Sascha Beck","email":"","orcid":"","institution":"Universität Duisburg-Essen Medizinische Fakultät: Universitat Duisburg-Essen Medizinische Fakultat","correspondingAuthor":false,"prefix":"","firstName":"Sascha","middleName":"","lastName":"Beck","suffix":""},{"id":89881778,"identity":"eac693c7-955b-4eaf-a154-a85e87999052","order_by":3,"name":"Alexander Wegner","email":"","orcid":"","institution":"University of Duisburg-Essen Faculty of Medicine: Universitat Duisburg-Essen Medizinische Fakultat","correspondingAuthor":false,"prefix":"","firstName":"Alexander","middleName":"","lastName":"Wegner","suffix":""},{"id":89881779,"identity":"ac4e515c-27f6-4874-a968-c454b57f7320","order_by":4,"name":"Erik Portegys","email":"","orcid":"","institution":"University of Duisburg-Essen Faculty of Medicine: Universitat Duisburg-Essen Medizinische Fakultat","correspondingAuthor":false,"prefix":"","firstName":"Erik","middleName":"","lastName":"Portegys","suffix":""},{"id":89881780,"identity":"7c27ef26-9f93-4a0a-86f7-b85c2ea296e8","order_by":5,"name":"Dennis Wassenaar","email":"","orcid":"","institution":"University of Duisburg-Essen Faculty of Medicine: Universitat Duisburg-Essen Medizinische Fakultat","correspondingAuthor":false,"prefix":"","firstName":"Dennis","middleName":"","lastName":"Wassenaar","suffix":""},{"id":89881781,"identity":"a361d941-8407-4e22-b3fb-d41379568f2a","order_by":6,"name":"Jens M Theysohn","email":"","orcid":"","institution":"University of Duisburg-Essen Faculty of Medicine: Universitat Duisburg-Essen Medizinische Fakultat","correspondingAuthor":false,"prefix":"","firstName":"Jens","middleName":"M","lastName":"Theysohn","suffix":""},{"id":89881782,"identity":"1b56db48-5f11-41c7-aa1c-aea26baece5f","order_by":7,"name":"Johannes Haubold","email":"","orcid":"","institution":"University of Duisburg-Essen Faculty of Medicine: Universitat Duisburg-Essen Medizinische Fakultat","correspondingAuthor":false,"prefix":"","firstName":"Johannes","middleName":"","lastName":"Haubold","suffix":""}],"badges":[],"createdAt":"2021-09-14 11:02:46","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-903346/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-903346/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":19250458,"identity":"8be232d2-e6f2-4f18-8847-afe72766267f","added_by":"auto","created_at":"2022-03-15 16:02:10","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":202322,"visible":true,"origin":"","legend":"\u003cp\u003eX-ray from a 70 year old patient suffering from PJI. Plain radiograph showing normal findings.\u003c/p\u003e","description":"","filename":"fig1.png","url":"https://assets-eu.researchsquare.com/files/rs-903346/v1/cc0cbb48e0fb7a8a04c0e48e.png"},{"id":19250464,"identity":"c8ed4ff5-6ac1-462a-b5a2-e572fbdd27ae","added_by":"auto","created_at":"2022-03-15 16:02:10","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":401733,"visible":true,"origin":"","legend":"\u003cp\u003eCoronal MARS-STIR-MRI shows layering (white arrow) and hyperintensity of the synovium which is highly suggestive of an infectious process. Femoral bone marrow (black thin arrow) and muscle edema (black thick arrow) indicates periprosthetic stress reaction.\u003c/p\u003e","description":"","filename":"fig2.png","url":"https://assets-eu.researchsquare.com/files/rs-903346/v1/d0c7b7a7ca036e2c1f02ab2e.png"},{"id":19250461,"identity":"fa63c2a2-0313-47f0-96e7-031669d26564","added_by":"auto","created_at":"2022-03-15 16:02:10","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":272876,"visible":true,"origin":"","legend":"\u003cp\u003eAxial CT shows field accumulation anterior to femoral bone. Due to beam hardening (black arrow), the soft tissue surrounding the periprosthetic bone is not evaluable.\u003c/p\u003e","description":"","filename":"fig3.png","url":"https://assets-eu.researchsquare.com/files/rs-903346/v1/3ef0245eba6acaf633476adb.png"},{"id":19250627,"identity":"66ef2a39-f68d-4d03-9859-414b23e75bcc","added_by":"auto","created_at":"2022-03-15 16:08:10","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":349332,"visible":true,"origin":"","legend":"\u003cp\u003eOn axial MARS-STIR-MRI layering (black arrow) is detectable in the fluid accumulation.\u003c/p\u003e","description":"","filename":"fig4.png","url":"https://assets-eu.researchsquare.com/files/rs-903346/v1/930770713185ced22ad24094.png"},{"id":19250459,"identity":"40ff87ea-05dc-43f7-8bb3-0e058a477388","added_by":"auto","created_at":"2022-03-15 16:02:10","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":207658,"visible":true,"origin":"","legend":"\u003cp\u003ePlain radiograph shows asymmetric polyethylene wear of the inlay.\u0026nbsp;\u003c/p\u003e","description":"","filename":"fig5.png","url":"https://assets-eu.researchsquare.com/files/rs-903346/v1/b72817d9fc8c46fc4bd22879.png"},{"id":19250529,"identity":"32d57c4f-e264-4b35-a560-1de2cc4bba56","added_by":"auto","created_at":"2022-03-15 16:05:10","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":343328,"visible":true,"origin":"","legend":"\u003cp\u003eOn coronal MARS-STIR-MRI granulomatous synovitis (white arrow) indicates polyethylene wear debris.\u003c/p\u003e","description":"","filename":"fig6.png","url":"https://assets-eu.researchsquare.com/files/rs-903346/v1/76e8728e7f8a7b37f0e648a9.png"},{"id":19250465,"identity":"c2260fbb-c2b7-4dd9-abef-61cbe9f0d96b","added_by":"auto","created_at":"2022-03-15 16:02:10","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":159137,"visible":true,"origin":"","legend":"\u003cp\u003eROC plot for edema of the synovium, bone edema, muscle edema, sinus tracts, bursitis signs, granulomatous synovitis and layering of the thickened hyperintense synovium.\u003c/p\u003e","description":"","filename":"fig7.png","url":"https://assets-eu.researchsquare.com/files/rs-903346/v1/d8f979c6896407451ef4f16d.png"},{"id":19250460,"identity":"2abf0b58-8950-4f48-981c-b492761877d7","added_by":"auto","created_at":"2022-03-15 16:02:10","extension":"png","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":112170,"visible":true,"origin":"","legend":"\u003cp\u003eROC plot for serum CRP, synovial alpha-1-defensin and CRP.\u003c/p\u003e","description":"","filename":"fig8.png","url":"https://assets-eu.researchsquare.com/files/rs-903346/v1/f38a5441d7d464e883560dfc.png"},{"id":19250628,"identity":"1a6cf9f8-f415-40b0-a137-9185e48f6a96","added_by":"auto","created_at":"2022-03-15 16:08:15","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2086094,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-903346/v1/4dfd2442-e44f-4f30-ba05-865826e7bf0f.pdf"}],"financialInterests":"","formattedTitle":"\u003cp\u003eMetal Artefact Reduction Sequences (MARS) in Magnetic Resonance Imaging (MRI) After Total Hip Arthroplasty (THA). A Non-Invasive Approach for Preoperative Differentiation Between Periprosthetic Joint Infection (PJI) and Aseptic Complications?\u003c/p\u003e","fulltext":[{"header":"Background","content":"\u003cp\u003eThe main reason for prosthetic failure in total joint arthroplasty (TJA) is aseptic loosening [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. Other reasons for prosthetic failure are recurrent dislocations (hip) and periprosthetic joint infections (PJI) [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. The five-year incidence of periprosthetic hip joint infections exceeds one percent following primary procedure [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. The differentiation between aseptic failure and PJI is of central importance because the treatment of aseptic failure is completely different from the treatment of PJI [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. Serum and synovial biomarkers (CRP, Alpha-1-Defensin) are frequently used to diagnose PJI [\u003cspan additionalcitationids=\"CR7\" citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. However, there are cases in which serum and synovial biomarkers fail [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. In the past, radiographic tools were of minor importance in ruling out PJI. Conventional X-ray and scintigraphic imaging is not sufficient to differentiate between aseptic processes and PJI [\u003cspan additionalcitationids=\"CR11\" citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. Cross-sectional imaging had the disadvantage that metal-induced artefacts result in impaired image quality [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Due to technical innovations such as MARS (metal artefact reduction sequences), it is now possible to assess periprosthetic soft tissue and bone changes in magnetic resonance imaging (MRI)[\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. First reports on radiographic imaging via MARS-MRI identified special characteristic features such as granulomatous synovitis and synovial layering to differentiate painful arthroplasty [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. However, until now no study compared the diagnostic value of MARS-MRI in painful hip arthroplasty with those of standard diagnostic tools.\u003c/p\u003e \u003cp\u003eThe purpose of the current study was to evaluate the accuracy of MARS-MRI in distinguishing between aseptic failure and PJI in painful hip after total hip arthroplasty (THA). The hypothesis to be tested was that MARS-MRI is suitable to differentiate non-invasively between PJI and aseptic complications in THA as valuable as serum and synovial biomarkers do.\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003e\u003cstrong\u003eStudy design:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAfter approval from the institutional review board (18-8042-BO), a prospective study was performed in patients with persisting pain\u0026nbsp;[16]\u0026nbsp;after THA. Medical history, clinical examinations, and laboratory values of serum and joint fluid were gathered preoperatively as routine diagnostic procedures. The differentiation between aseptic failure and PJI was made according to the 2018 definition of periprosthetic hip and knee infection\u0026nbsp;[17](Table 1). The criterion for inclusion was persisting pain after THA\u0026nbsp;[16]. Patients were excluded if primary implantation or any surgery on the affected hip had been performed within the last 12 months. Further reasons for exclusion were contraindications for MRI such as cardiac pacemakers.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics statement:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study was approved by the ethics committee of the investigating hospital. Written informed consent was obtained from all individual participants included in the study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePatients:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFrom July 2018 to September 2019, 33 patients classified as having an aseptic joint effusion were recruited into the study. The group included 22 women and 11 men with a mean age of 70.4 \u0026plusmn; 13.7 (42\u0026ndash;88) years. The mean BMI was 28.6 \u0026plusmn; 5.4 (21\u0026ndash;40). In the same period, 12 patients were classified as having a PJI. The group consisted of 9 women and 3 men with a mean age of 72.5 \u0026plusmn; 10.6 (54\u0026ndash;88) years. The mean BMI was 29.2 \u0026plusmn; 5.0 (21\u0026ndash;37). Bacteria were identified in 10 (83%) of 12 patients of the infection group. Staphylococci were found in 6 (60%) and Pseudomonas, Serratiae, Klebsiellae and Lactobacillae were found in one (10 %). In 2 patients (17%) in the infection group, no bacteria could be isolated after 14 days incubation. There were no significant differences in sex, age, and BMI between the cohorts (p \u0026gt; 0.05). Twenty-two patients (15 aseptic and 7 PJI) had ceramic-polyethylene and 23 (17 aseptic and 5 PJI) metal-polyethylene load bearing. In seven patients (6 metal and 1 ceramic head) MRI analysis was not possible due to persisting interfering artefacts.\u003c/p\u003e\n\u003cp\u003eDetermination of the Levels of Serum and Synovial Fluid biomarkers: Serum CRP was analyzed by immune turbidimetry (Centaur, Siemens, Germany, normal \u0026lt; 0.5 mg/dl). Synovial leukocyte level and percentage of polymorphic neutrophils were measured by flow cytometry with EDTA (Ethylenediaminetetraacetic acid) plasma (XN 550, Sysmex, Germany) (normal \u0026lt; 3000/\u0026mu;l and \u0026lt; 80%). Synovial biomarkers were analyzed using standard quantitative enzyme immunoassay kits (1. Human\u0026nbsp;\u0026alpha;-Defensin 1 Antibody, R\u0026amp;D Systems Bio-Techne, USA, cutoff level 4800 ng/mL; 2. CRP (EU59131), IBL International GmbH, Hamburg, Germany / cut-off level (\u0026gt; 6,9 mg / l)).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMR-Imaging\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA 1.5T Philips Intera (Koninklijke Philips N.V., Amsterdam, Netherlands) MR scanner was used to acquire MR images using a Philips SENSE XL Torso 16-channel coil. Standardized imaging protocols were used containing a short tau inversion recovery sequence (STIR) in coronal (repetition time (TR) 3130 ms, echo time (TE) 35 ms, in plane resolution 0.8 x 0.8 mm, slice thickness 3.5 mm) and transverse view (TR 4428 ms, TE 40 ms, in plane resolution 0.9 x 0.9 mm, slice thickness 3.5 mm), as well as a non-fat-saturated T2 in coronal view (TR 3076 ms, TE 80 ms, in plane resolution 0.7 x 0.7 mm, slice thickness 2.5 mm) and a non-fat-saturated T1 in transverse view (TR 669 ms, TE 10 ms, in plane resolution 0.7 x 0.7 mm, slice thickness 2.5 mm). To reduce metal artefacts all sequences were acquired using Philips MARS technique.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMRI Criteria\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe MRI features used to distinguish between PJI and aseptic complications included edema of the synovium, bone edema, muscle edema, fistulae\u0026nbsp;between the joint space and the surrounding soft tissue,\u0026nbsp;bursitis signs, granulomatous synovitis and lamellation (layering) of the synovium\u0026nbsp;[18\u0026ndash;21].\u003c/p\u003e\n\u003cp\u003eConsistency test: The investigation of the MRI images was performed by two authors (JH, AB). Cases were rereviewed 2 weeks later by each reader. Both readers were not involved in patients recruitment and data collection.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStatistical Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data were processed with the statistical software package SPSS. Normally distributed continuous data were shown as mean \u0026plusmn; standard deviation (SD) and compared using student\u0026apos;s t-test. Non-normally distributed continuous data were shown as mean and compared using the Mann\u0026ndash;Whitney U test. A p-value \u0026lt; 0.05 was considered statistically significant. Sensitivity and specificity for any cut-off level were calculated. ROC curves were subsequently constructed by mapping true-positive rate (sensitivity) against false-positive rate (1 \u0026minus; specificity) for each test-joint combination. Inter- and intrareader agreement of imaging findings was assessed with Fleiss\u0026rsquo; \u0026kappa; for binary parameters.\u0026nbsp;\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eThe appearance of synovial layering and granulomatous synovitis in MARS-MRI was significantly higher in PJI than in aseptic complications (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). Synovial layering demonstrated a sensitivity of 100% and a specificity of 73% for the diagnosis of PJI in this study. Muscle edema were not significantly higher in PJI than in aseptic complications (p\u0026thinsp;=\u0026thinsp;0.11). Muscle edema had a specifity and a sensitivity of 65% and 100%, respectively, for the diagnosis of PJI. When synovial layering was combined with muscular edema, the levels of specificity and sensitivity were 88% and 90%, respectively, for the diagnosis of PJI in this study. Granulomatous synovitis was significantly higher in aseptic complications than in PJI (p\u0026thinsp;=\u0026thinsp;0.03). Granulomatous synovitis had a sensitivity of 90% and a specifity of 57% for the diagnosis of aseptic failure. Acetabular and femoral bone marrow edema were not significantly higher in PJI than in aseptic cohort (p\u0026thinsp;=\u0026thinsp;0.27 and p\u0026thinsp;=\u0026thinsp;0.11). Fistulae between the joint space and the surrounding soft tissue and bursitis trochanterica were not significantly higher in PJI than in aseptic complications (p\u0026thinsp;=\u0026thinsp;0.64 and p\u0026thinsp;=\u0026thinsp;0.72) (see Table\u0026nbsp;2a).\u003c/p\u003e\n\u003cp\u003eThe mean levels of synovial alpha-1-Defensin were significantly higher in PJI than in aseptic complications (p\u0026thinsp;\u0026lt;\u0026thinsp;0.01). Synovial alpha-1-defensin showed a sensitivity of 80% and a specifity of % 95 with a cut-off of 4,8 \u0026micro;g/ml. The average levels of synovial (p\u0026thinsp;\u0026lt;\u0026thinsp;0.01) and serum (p\u0026thinsp;=\u0026thinsp;0.03) CRP were significantly higher in PJI than in aseptic complications. Serum CRP had a sensitivity of 85% and a specifity of 80%. Synovial CRP showed a sensitivity of 80% and a specifity of 95% (see Table 2b).\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe diagnosis of PJI is still a major problem in orthopaedic surgery because so far no \u0026ldquo;gold-standard\u0026rdquo; has been established [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. Radiographic imaging is a keystone in orthopaedic diagnostics because it is non-invasive and available almost everywhere. However, until recently radiographic imaging was not considered to be suitable to rule out PJI [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. Plain radiographs of septic hip prostheses often show normal findings but can exhibit periosteal new bone formation and scattered foci of osteolysis during the subsequent course [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. Cross-sectional imaging in post-arthroplasty hips has always been a challenge because of the susceptibility artefacts on MRI and beam hardening on computed tomography (CT)[\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. For those reasons, various mitigation strategies have been developed to minimize these artefacts [\u003cspan additionalcitationids=\"CR27 CR28 CR29\" citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e]. On the one hand, it has been shown that these artefacts increase with a field strength above 1.5 T [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. Therefore, the patients in this study were examined at 1.5 T. Determining whether our results can be transferred to higher field strengths will require further investigations. On the other hand, our results were obtained exclusively with the Philips MARS technique; however, overall, several manufacturers have established similar techniques with well-proven capabilities for postoperative metal artifact reduction [\u003cspan additionalcitationids=\"CR33\" citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. In our study setting, we were not able to verify transferability to other sequences from other manufacturers; however, the current study landscape suggests that our results can be obtained with similar sequencing techniques from other manufacturers [\u003cspan additionalcitationids=\"CR36\" citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eFritz \u003cem\u003eet al.\u003c/em\u003e (2014) were one of the first to describe MRI features in post-arthroplasty hips. Suggestive features for PJI were sinus tracts, abscess formation, bone marrow edema and lymphadenopathy [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. No patient in our study suffered from a sinus tract with the evidence of the communication to the joint or the visualization of the prosthesis. The major criterion of the 2018 definition of periprosthetic hip and knee infection was fulfilled.\u003c/p\u003e \u003cp\u003eThe MRI features in our study included (a) synovial layering; (b) edema of femoral and acetabular bone marrow; (c) muscular edema; (d) granulomatous synovitis; (e) synovial edema; (f) fistulae between the joint space and the surrounding soft tissue; and (g) bursitis trochanterica. Data analysis revealed significant differences between the two cohorts in two parameters. Synovial layering was significantly more frequent (\u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.01\u003c/em\u003e) in patients with PJI than in aseptic complication. Synovial layering was defined as a thickened synovium composed of multiple lamelles. Plodowski \u003cem\u003eet al\u003c/em\u003e firstly described the presence of synovial layering at MR imaging of knee arthroplasty. They found that synovial layering had a high sensitivity and specificity for detection of PJI [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. According to Plodowski et al, we found synovial layering to have excellent sensitivity (100%) to diagnose PJI. The specifity of synovial layering with 73% is, however, limited. To increase specifity in diagnosis of PJI the combination of synovial layering and edema in the surrounding muscle tissue can be applied (specifity of synovial layering and muscle edema combined\u0026thinsp;=\u0026thinsp;88%). However, the sensitivity of combined synovial layering and muscle edema is below the sensitivity of synovial layering alone (90% vs. 100%).\u003c/p\u003e \u003cp\u003eIn TJA polyethylene debris causes synovitis, cytokine driven up-regulation of osteoclasts and down regulation of osteoblasts resulting in osteolysis with consecutive implant loosening [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e]. Many efforts have been made to improve durability of polyethylene implants in TJA. By introduction of cross-linked and Vitamin-E supplemented polyethylene implants the wear rates could be decreased. However, polyethylene wear debris induced periprosthetic osteolysis remains one of the main causes for aseptic loosening in THA [\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]. MARS-MRI was described to be an appropriate modality to detect polyethylene wear debris induced synovitis [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. Polyethylene wear\u0026ndash;induced synovitis was characterized to occur as an expansion of the hip pseudocapsule by a thick and particulate appearing synovitis of low to intermediate signal intensity in MRI [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e]. In our study, granulomatous synovitis was significant more often (\u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.03\u003c/em\u003e) in aseptic complications than in PJI. With a sensitivity of 10%, granulomatous synovitis is not suitable to detect PJI. Conversely, granulomatous synovitis seems to be appropriate to diagnose aseptic complication. The intermediate specifity (43%) of granulomatous synovitis to detect PJI might result from an additional occurrence of aseptic soft-tissue reaction due to wear debris.\u003c/p\u003e \u003cp\u003eTo our best knowledge, this is one of the first studies reporting on clinical, laboratory and MRI data of patients suffering from painful hip after THA [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. Our findings indicate that MARS-MRI is a suitable modality for the evaluation of soft and bone tissue adjacent to hip arthroplasty implants. The occurrence of synovial layering and muscle edema combined significantly differed between PJI and aseptic complications (\u003cem\u003ep\u0026thinsp;=\u0026thinsp;0.01\u003c/em\u003e). The accuracy of MARS- MRI parameters were comparable with those of standard serum and synovial biomarkers. Synovial layering and muscle edema combined had the highest AUC level (0.93), even higher than those of synovial CRP (0.92) and synovial AD-1 (0.90) (see table 2). MARS-MRI may improve the planning of revision arthroplasty in ambiguous cases. The risk of overlooked PJI with the need of further surgery might be reduced.\u003c/p\u003e \u003cp\u003ePrevious studies by Fritz et al (2014) and Jiang et al (2016) investigating MRI strategies for hip arthroplasty implants have reported similar results [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eSchwaiger et al (2020) also found MRI with metal artifact reduction to be accurate to differentiate between patients PJI and aseptic loosening. In contrast to our study, Schwaiger et al (2020) additionally evaluated patients without aseptic implant loosening and without PJI as a reference group. They found STIR signal hyperintensity in surrounding acetabular and femoral bone marrow indicating edema significantly higher in PJI and aseptic loosening than in the reference group (p\u0026thinsp;\u0026lt;\u0026thinsp;0.001). The specifity and sensitivity of acetabular bone marrow edema was described to be 88% and 63%, respectively. The specifity and sensitivity of femoral bone marrow edema was found to be 68% and 91%, respectively [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]. These data also argue in favour of using MARS MRI in diagnostic of painful hip after THA because the pathological findings in PJI and aseptic loosening are statistically less frequent in patients without aseptic implant loosening and without PJI.\u003c/p\u003e \u003cp\u003eThe current study has limitations. Firstly, in 15% (7/45) the metal artefact reduction was insufficient to allow the MR images to be evaluated. Therefore, further research to decrease the occurrence metal artefacts needs to be performed. Standard protocols with defined MRI features have to be implemented. Furthermore, the small number of patients does not allow statistical conclusions.\u003c/p\u003e \u003cp\u003eAnother problem in research on PJI is the lack of an internationally recognized definition for PJI. At present, there are no tests that can definitively exclude infection [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]. This requires a combination of tests with high statistical power allowing the clinician to rule out or to confirm PJI. Over the years, a variety of attempts was conducted to define criteria for diagnosing PJI [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]. The evidence-based 2018 definition of periprosthetic hip and knee infection which we used to distinguish between PJI and aseptic complications is widely adopted and was demonstrated to have higher sensitivity and equal specificity compared to existing criteria [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e, \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e, \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e]. However, the definition was supported by only 68% of delegates at the reconvened ICM (International Consensus Meeting on Musculoskeletal Infection) in 2018 and also not endorsed by MSIS (Musculoskeletal Infection Society) [43,46]. The significant rates of false-positive and false negative test were repeatedly criticized. Even combining tests did not resolve this problem [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]. Furthermore, the diagnostic performance of the 2018 definition was found to better in hip than in knee [\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e]. Recent research and committee work led to the publication of the EBJIS definition of periprosthetic joint infection in 2019 [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]. It was stated that it was not practical to have a binary definition; infected or not infected. Therefore, a three-level definition is proposed [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e].\u003c/p\u003e \u003cp\u003e \u003col\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eInfection unlikely.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eInfection likely.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eInfection confirmed.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003c/ol\u003e \u003c/p\u003e \u003cp\u003eIt is crucial to note that the significance of each test is different in each group. The group \u0026ldquo;Infection likely\u0026rdquo; representing the overlap between aseptic and septic cases should alert the clinician that an infection is not ruled out and further comprehensive investigations are needed. However, multiple positive suggestive tests in this group do not confirm infection. This requires an identification of a positive test from the confirmatory criteria [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eWe were able to confirm the hypothesis that MRI is suitable to differentiate non-invasively between PJI and aseptic complications in THA without using contrast agents, radioactive tracers. Our data suggest that MARS-MRI is as valuable as determination of serum and synovial biomarkers to differentiate between septic and aseptic complication in TJA.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eMARS-MRI appears to be a reliable method of distinguishing between aseptic complications and PJI. The combination of synovial layering and surrounding muscle edema seems to be an indicator for PJI. Further research with standardized protocols and higher patient numbers has to be performed to investigate the role of MARS-MRI in the diagnosis of PJI.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cdiv class=\"DefinitionList\"\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ePJI\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ePeriprosthetic joint infection\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eMARS\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eMetal artefact reduction sequences\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eMRI\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eMagnetic resonance imaging\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eSTIR\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eshort-tau-inversion recovery\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eTJA\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eTotal joint arthroplasty\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eTHA\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eTotal hip arthroplasty\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eEDTA\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eEthylenediaminetetraacetic acid\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eTR\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eRepetition time\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eSD\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eStandard deviation\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCT\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eComputertomography\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eAD-1\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ealpha-1-Defensin\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCRP\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eC-reactive proteine\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study was approved by the ethics committee University of Duisburg-Essen (18\u0026ndash;8042-BO). All patients signed informed consent forms prior to being enrolled.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll patients consented to publish personal data in an anonymized form.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and material:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll patient-related data were collected by file research from the archives of the participating centers.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interest:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding: \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eJohannes Haubold received financial support by the DFG (German Research Foundation)-funded Clinician Scientist Program of the University Medicine Essen Clinician Scientist Academy (UMEA) (FU 356/12-1).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors contributions:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll authors ensured that they had furnished a substantial contribution to the article and that they are in agreement with form and contents of the manuscript. MJ and JT analysed and interpreted the patient data regarding the scientific relevance and supervised the study. DW and AB conceived the study and wrote the article. EP and SB were responsible for patient recruitment. AB and JH analyzed radiographic images. AB and AW performed the statistical analysis. The authors read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgements:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eOtto-Lambertz C, Yagdiran A, Wallscheid F, Eysel P, Jung N. Periprosthetic Infection in Joint Replacement. Dtsch Arzteblatt Int. 2017;114: 347\u0026ndash;353. doi:10.3238/arztebl.2017.0347\u003c/li\u003e\n\u003cli\u003eEPRD-Jahresbericht_2017_Einzelseiten_Online-Version.pdf. Available: https://www.eprd.de/fileadmin/user_upload/Dateien/Publikationen/Berichte/EPRD-Jahresbericht_2017_Einzelseiten_Online-Version.pdf\u003c/li\u003e\n\u003cli\u003eGundtoft PH, Overgaard S, Sch\u0026oslash;nheyder HC, M\u0026oslash;ller JK, Kj\u0026aelig;rsgaard-Andersen P, Pedersen AB. The \u0026ldquo;true\u0026rdquo; incidence of surgically treated deep prosthetic joint infection after 32,896 primary total hip arthroplasties: a prospective cohort study. Acta Orthop. 2015;86: 326\u0026ndash;334. doi:10.3109/17453674.2015.1011983\u003c/li\u003e\n\u003cli\u003eEllenrieder M, Lenz R, Haenle M, Bader R, Mittelmeier W. Two-stage revision of implant-associated infections after total hip and knee arthroplasty. GMS Krankenhaushygiene Interdiszip. 2011;6: Doc17. doi:10.3205/dgkh000174\u003c/li\u003e\n\u003cli\u003eTetreault MW, Estrera KA, Kayupov E, Brander C, Della Valle CJ. Are patients being evaluated for periprosthetic joint infection prior to referral to a tertiary care center? Arthroplasty Today. 2018;4: 216\u0026ndash;220. doi:10.1016/j.artd.2017.10.001\u003c/li\u003e\n\u003cli\u003eGlehr M, Friesenbichler J, Hofmann G, Bernhardt GA, Zacherl M, Avian A, et al. Novel biomarkers to detect infection in revision hip and knee arthroplasties. Clin Orthop. 2013;471: 2621\u0026ndash;2628. doi:10.1007/s11999-013-2998-3\u003c/li\u003e\n\u003cli\u003eDeirmengian C, Kardos K, Kilmartin P, Cameron A, Schiller K, Booth RE, et al. The alpha-defensin test for periprosthetic joint infection outperforms the leukocyte esterase test strip. Clin Orthop. 2015;473: 198\u0026ndash;203. doi:10.1007/s11999-014-3722-7\u003c/li\u003e\n\u003cli\u003eFrangiamore SJ, Saleh A, Grosso MJ, Kovac MF, Higuera CA, Iannotti JP, et al. \u0026alpha;-Defensin as a predictor of periprosthetic shoulder infection. J Shoulder Elbow Surg. 2015;24: 1021\u0026ndash;1027. doi:10.1016/j.jse.2014.12.021\u003c/li\u003e\n\u003cli\u003eParvizi J, McKenzie JC, Cashman JP. Diagnosis of periprosthetic joint infection using synovial C-reactive protein. J Arthroplasty. 2012;27: 12\u0026ndash;16. doi:10.1016/j.arth.2012.03.018\u003c/li\u003e\n\u003cli\u003eVasso M, Schiavone Panni A. Low-grade periprosthetic knee infection: diagnosis and management. J Orthop Traumatol Off J Ital Soc Orthop Traumatol. 2015;16: 1\u0026ndash;7. doi:10.1007/s10195-014-0294-y\u003c/li\u003e\n\u003cli\u003eBuck FM, Jost B, Hodler J. Shoulder arthroplasty. Eur Radiol. 2008;18: 2937\u0026ndash;2948. doi:10.1007/s00330-008-1093-8\u003c/li\u003e\n\u003cli\u003eKamaleshwaran KK, Rajkumar N, Mohanan V, Kalarikal R, Shinto AS. 99m-Tc-ubiquicidin scintigraphy in diagnosis of knee prosthesis infection and comparison with F-18 fluorodeoxy-glucose positron emission tomography/computed tomography. Indian J Nucl Med IJNM Off J Soc Nucl Med India. 2015;30: 259\u0026ndash;262. doi:10.4103/0972-3919.158540\u003c/li\u003e\n\u003cli\u003eRobinson E, Henckel J, Sabah S, Satchithananda K, Skinner J, Hart A. Cross-sectional imaging of metal-on-metal hip arthroplasties. Can we substitute MARS MRI with CT? Acta Orthop. 2014;85: 577\u0026ndash;584. doi:10.3109/17453674.2014.964618\u003c/li\u003e\n\u003cli\u003eKoff MF, Esposito C, Shah P, Miranda M, Baral E, Fields K, et al. MRI of THA Correlates With Implant Wear and Tissue Reactions: A Cross-sectional Study. Clin Orthop. 2019;477: 159\u0026ndash;174. doi:10.1097/CORR.0000000000000535\u003c/li\u003e\n\u003cli\u003eFritz J, Lurie B, Miller TT, Potter HG. MR imaging of hip arthroplasty implants. Radiogr Rev Publ Radiol Soc N Am Inc. 2014;34: E106-132. doi:10.1148/rg.344140010\u003c/li\u003e\n\u003cli\u003eCats-Baril W, Gehrke T, Huff K, Kendoff D, Maltenfort M, Parvizi J. International consensus on periprosthetic joint infection: description of the consensus process. Clin Orthop. 2013;471: 4065\u0026ndash;4075. doi:10.1007/s11999-013-3329-4\u003c/li\u003e\n\u003cli\u003eParvizi J, Tan TL, Goswami K, Higuera C, Della Valle C, Chen AF, et al. The 2018 Definition of Periprosthetic Hip and Knee Infection: An Evidence-Based and Validated Criteria. J Arthroplasty. 2018;33: 1309\u0026ndash;1314.e2. doi:10.1016/j.arth.2018.02.078\u003c/li\u003e\n\u003cli\u003eKarchevsky M, Schweitzer ME, Morrison WB, Parellada JA. MRI findings of septic arthritis and associated osteomyelitis in adults. AJR Am J Roentgenol. 2004;182: 119\u0026ndash;122. doi:10.2214/ajr.182.1.1820119\u003c/li\u003e\n\u003cli\u003ePlodkowski AJ, Hayter CL, Miller TT, Nguyen JT, Potter HG. Lamellated hyperintense synovitis: potential MR imaging sign of an infected knee arthroplasty. Radiology. 2013;266: 256\u0026ndash;260. doi:10.1148/radiol.12120042\u003c/li\u003e\n\u003cli\u003eCooper HJ, Ranawat AS, Potter HG, Foo LF, Koob TW, Ranawat CS. Early reactive synovitis and osteolysis after total hip arthroplasty. Clin Orthop. 2010;468: 3278\u0026ndash;3285. doi:10.1007/s11999-010-1361-1\u003c/li\u003e\n\u003cli\u003eWalde TA, Weiland DE, Leung SB, Kitamura N, Sychterz CJ, Engh CA, et al. Comparison of CT, MRI, and radiographs in assessing pelvic osteolysis: a cadaveric study. Clin Orthop. 2005; 138\u0026ndash;144. doi:10.1097/01.blo.0000164028.14504.46\u003c/li\u003e\n\u003cli\u003eBusch A, J\u0026auml;ger M, Engler H, Haversath M, Bielefeld C, Landgraeber S, Wegner A. Is Procalcitonin (PCT) a reliable biomarker for preoperative diagnosing of low grade periprosthetic joint infection? A prospective study. BMC Musculoskelet Disord. 2020 Apr 20;21(1):257. doi: 10.1186/s12891-020-03266-6. PMID: 32312264; PMCID: PMC7171844.\u003c/li\u003e\n\u003cli\u003eMushtaq N, To K, Gooding C, Khan W. Radiological Imaging Evaluation of the Failing Total Hip Replacement. Front Surg. 2019 Jun 18;6:35. doi: 10.3389/fsurg.2019.00035. PMID: 31275942; PMCID: PMC6591276.\u003c/li\u003e\n\u003cli\u003eKalore NV, Gioe TJ, Singh JA. Diagnosis and management of infected total knee arthroplasty. Open Orthop J. 2011;5: 86\u0026ndash;91. doi:10.2174/1874325001105010086\u003c/li\u003e\n\u003cli\u003eBauer TW, Parvizi J, Kobayashi N, Krebs V. Diagnosis of periprosthetic infection. J Bone Joint Surg Am; 2006;88: 869\u0026ndash;882. doi:10.2106/JBJS.E.01149\u003c/li\u003e\n\u003cli\u003eLee M-J, Kim S, Lee S-A, Song H-T, Huh Y-M, Kim D-H, et al. Overcoming artifacts from metallic orthopedic implants at high-field-strength MR imaging and multi-detector CT. Radiogr Rev Publ Radiol Soc N Am Inc. 2007;27: 791\u0026ndash;803. doi:10.1148/rg.273065087\u003c/li\u003e\n\u003cli\u003ePotter HG, Foo LF. 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PMID: 22266987.\u003c/li\u003e\n\u003cli\u003eKhodarahmi I, Isaac A, Fishman EK, Dalili D, Fritz J. Metal About the Hip and Artifact Reduction Techniques: From Basic Concepts to Advanced Imaging. Semin Musculoskelet Radiol. 2019 Jun;23(3):e68-e81. doi: 10.1055/s-0039-1687898. Epub 2019 Jun 4. PMID: 31163511.\u003c/li\u003e\n\u003cli\u003eDo TD, Sutter R, Skornitzke S, Weber MA. CT and MRI Techniques for Imaging Around Orthopedic Hardware. Rofo. 2018 Jan;190(1):31-41. English. doi: 10.1055/s-0043-118127. Epub 2017 Sep 21. PMID: 28934809.\u003c/li\u003e\n\u003cli\u003eLiebl H, Heilmeier U, Lee S, Nardo L, Patsch J, Schuppert C, et al. In vitro assessment of knee MRI in the presence of metal implants comparing MAVRIC-SL and conventional fast spin echo sequences at 1.5 and 3 T field strength. J Magn Reson Imaging JMRI. 2015;41: 1291\u0026ndash;1299. doi:10.1002/jmri.24668\u003c/li\u003e\n\u003cli\u003eBusch A, J\u0026auml;ger M; VITAS group, Wegner A, Haversath M. Vitamin E-blended versus conventional polyethylene liners in prostheses : Prospective, randomized trial with 3-year follow-up. Orthopade. 2020 Dec;49(12):1077-1085. English. doi: 10.1007/s00132-019-03830-6. PMID: 31696260.\u003c/li\u003e\n\u003cli\u003eBusch A, J\u0026auml;ger M, Klebingat S, Baghdadi J, Fl\u0026ouml;rkemeier T, H\u0026uuml;tter F, Grupp TM; VITAS-Group, Haversath M. Vitamin E-blended highly cross-linked polyethylene liners in total hip arthroplasty: a randomized, multicenter trial using virtual CAD-based wear analysis at 5-year follow-up. Arch Orthop Trauma Surg. 2020 Dec;140(12):1859-1866. doi: 10.1007/s00402-020-03358-x. Epub 2020 Feb 12. PMID: 32048017.\u003c/li\u003e\n\u003cli\u003eMalchau H, Potter HG; Implant Wear Symposium 2007 Clinical Work Group. How are wear-related problems diagnosed and what forms of surveillance are necessary? J Am Acad Orthop Surg. 2008;16 Suppl 1:S14-9. doi: 10.5435/00124635-200800001-00005. PMID: 18612008.\u003c/li\u003e\n\u003cli\u003eJiang M-H, He C, Feng J-M, Li Z-H, Chen Z, Yan F-H, et al. Magnetic resonance imaging parameter optimizations for diagnosis of periprosthetic infection and tumor recurrence in artificial joint replacement patients. Sci Rep. 2016;6: 36995. doi:10.1038/srep36995\u003c/li\u003e\n\u003cli\u003eSchwaiger BJ, Gassert FT, Suren C, Gersing AS, Haller B, Pfeiffer D, Dangelmaier-Dawirs J, Roski F, von Eisenhart-Rothe R, Prodinger PM, Woertler K. Diagnostic accuracy of MRI with metal artifact reduction for the detection of periprosthetic joint infection and aseptic loosening of total hip arthroplasty. Eur J Radiol. 2020 Oct;131:109253. doi: 10.1016/j.ejrad.2020.109253. Epub 2020 Aug 31. PMID: 32937252.\u003c/li\u003e\n\u003cli\u003eMcNally M, Sousa R, Wouthuyzen-Bakker M, et al. The EBJIS definition of periprosthetic joint infection. Bone Joint J. 2021;103-B(1):18-25. doi:10.1302/0301-620X.103B1.BJJ-2020-1381.R1\u003c/li\u003e\n\u003cli\u003eGuan, H., Fu, J., Li, X. et al. The 2018 new definition of periprosthetic joint infection improves the diagnostic efficiency in the Chinese population. J Orthop Surg Res 14, 151 (2019). https://doi.org/10.1186/s13018-019-1185-y\u003c/li\u003e\n\u003cli\u003eAbdelaziz H, Rademacher K, Suero EM, Gehrke T, Lausmann C, Salber J, Citak M. The 2018 International Consensus Meeting Minor Criteria for Chronic Hip and Knee Periprosthetic Joint Infection: Validation From a Single Center. J Arthroplasty. 2020 Aug;35(8):2200-2203. doi: 10.1016/j.arth.2020.03.014. Epub 2020 Mar 13. PMID: 32247671.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cstrong\u003eTable 1\u0026nbsp;\u003c/strong\u003e2018 Definition of periprosthetic hip and knee infection\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPr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more about [BMC Musculoskeletal Disorders](http://bmcmusculoskeletdisord.biomedcentral.com/)","snPcode":"","submissionUrl":"https://author-welcome.nature.com/12891","title":"BMC Musculoskeletal Disorders","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"MARS, THA, MRI, periprosthetic joint infection, synovial layering","lastPublishedDoi":"10.21203/rs.3.rs-903346/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-903346/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground:\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eIn the past, radiographic imaging was of minor relevance in the diagnosis of periprosthetic joint infections (PJI). Since metal artefact reduction sequences (MARS) are available, magnetic resonance imaging (MRI) has become a promising diagnostic tool for the evaluation of hip arthroplasty implants. The purpose of the present study was to evaluate the efficacy of MARS MRI in comparison to established diagnostic tools to distinguish between aseptic failure and PJI.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eMethods:\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eBetween July 2018 to September 2019, MARS-MRI was conducted using the optimized parameters at 1.5 T in a coronal and axial STIR (short-tau-inversion recovery), a non-fat-saturated T2 in coronal view and a non-fat-saturated T1 in transverse view in 45 patients with painful hip after THA.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eSynovial layering and muscle edema were significant features of periprosthetic joint infection, with sensitivities of 100% and specifities of 63.0 - 75.0%. The combined specifity and sensitivity levels of synovial layering and muscular edema was 88.0% and 90.0%. Granulomatous synovitis was a significant feature for aseptic failure, with 90.0% sensitivity and 57.0% specifity.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConclusion:\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eMARS-MRI is as suitable as standard diagnostic tools to distinguish between aseptic failure and PJI in patients with a total hip arthroplasty (TJA). Further studies\u003cstrong\u003e \u003c/strong\u003ewith larger patient numbers have to prove whether MARS-MRI could be integral part of PJI\u003cstrong\u003e \u003c/strong\u003ediagnostic.\u003c/p\u003e","manuscriptTitle":"Metal Artefact Reduction Sequences (MARS) in Magnetic Resonance Imaging (MRI) After Total Hip Arthroplasty (THA). A Non-Invasive Approach for Preoperative Differentiation Between Periprosthetic Joint Infection (PJI) and Aseptic Complications?","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2022-03-15 16:02:08","doi":"10.21203/rs.3.rs-903346/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"editorInvitedReview","content":"","date":"2022-03-15T11:11:17+00:00","index":0,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2022-03-10T19:27:22+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2022-03-09T05:38:30+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Musculoskeletal Disorders","date":"2022-02-21T13:23:21+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-musculoskeletal-disorders","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bmsd","sideBox":"Learn more about [BMC Musculoskeletal Disorders](http://bmcmusculoskeletdisord.biomedcentral.com/)","snPcode":"","submissionUrl":"https://author-welcome.nature.com/12891","title":"BMC Musculoskeletal Disorders","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"fd860005-ab10-4b01-9bbb-c1611716aa9f","owner":[],"postedDate":"March 15th, 2022","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2022-05-26T12:27:27+00:00","versionOfRecord":[],"versionCreatedAt":"2022-03-15 16:02:08","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-903346","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-903346","identity":"rs-903346","version":["v1"]},"buildId":"_2-kVJe1T_tPrBINL-cwx","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}