{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T01:22:36Z","timestamp":1760059356113,"version":"build-2065373602"},"reference-count":30,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2025,6,9]],"date-time":"2025-06-09T00:00:00Z","timestamp":1749427200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"University Medical Center Utrecht","award":["LSHM17074"],"award-info":[{"award-number":["LSHM17074"]}]},{"DOI":"10.13039\/100004319","name":"Health-Holland Top Sector Life Sciences and Health","doi-asserted-by":"publisher","award":["LSHM17074"],"award-info":[{"award-number":["LSHM17074"]}],"id":[{"id":"10.13039\/100004319","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Background\/Objectives: Tenosynovitis is a common feature of psoriatic arthritis (PsA) and is typically assessed using semi-quantitative magnetic resonance imaging (MRI) scoring. However, visual scoring s variability. This study evaluates a fully automated, deep-learning approach for ankle tenosynovitis segmentation and volume-based quantification from MRI in psoriatic arthritis (PsA) patients. Methods: We analyzed 364 ankle 3T MRI scans from 71 PsA patients. Four tenosynovitis pathologies were manually scored and used to create ground truth segmentations through a human\u2013machine workflow. For each pathology, 30 annotated scans were used to train a deep-learning segmentation model based on the nnUNet framework, and 20 scans were used for testing, ensuring patient-level disjoint sets. Model performance was evaluated using Dice scores. Volumetric pathology measurements from test scans were compared to radiologist scores using Spearman correlation. Additionally, 218 serial MRI pairs were assessed to analyze the relationship between changes in pathology volume and changes in visual scores. Results: The segmentation model achieved promising performance on the test set, with mean Dice scores ranging from 0.84 to 0.92. Pathology volumes correlated with visual scores across all test MRIs (Spearman \u03c1 = 0.52\u20130.62). Volume-based quantification captured changes in inflammation over time and identified subtle progression not reflected in semi-quantitative scores. Conclusions: Our automated segmentation tool enables fast and accurate quantification of ankle tenosynovitis in PsA patients. It may enhance sensitivity to disease progression and complement visual scoring through continuous, volume-based metrics.<\/jats:p>","DOI":"10.3390\/diagnostics15121469","type":"journal-article","created":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T03:54:18Z","timestamp":1749527658000},"page":"1469","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Deep Learning Based Automatic Ankle Tenosynovitis Quantification from MRI in Patients with Psoriatic Arthritis: A Feasibility Study"],"prefix":"10.3390","volume":"15","author":[{"given":"Saeed","family":"Arbabi","sequence":"first","affiliation":[{"name":"Image Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands"},{"name":"Department of Orthopedics, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3347-2891","authenticated-orcid":false,"given":"Vahid","family":"Arbabi","sequence":"additional","affiliation":[{"name":"Department of Orthopedics, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands"},{"name":"Orthopaedic-Biomechanics Research Group, Department of Mechanical Engineering, Faculty of Engineering, Birjand 561, Iran"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9439-5186","authenticated-orcid":false,"given":"Lorenzo","family":"Costa","sequence":"additional","affiliation":[{"name":"Image Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands"},{"name":"Department of Orthopedics, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Iris ten","family":"Katen","sequence":"additional","affiliation":[{"name":"Department of Radiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8825-6486","authenticated-orcid":false,"given":"Simon C.","family":"Mastbergen","sequence":"additional","affiliation":[{"name":"Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter R.","family":"Seevinck","sequence":"additional","affiliation":[{"name":"Image Sciences Institute, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands"},{"name":"MRIguidance B.V., 3584 CX Utrecht, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4840-6854","authenticated-orcid":false,"given":"Pim A.","family":"de Jong","sequence":"additional","affiliation":[{"name":"Department of Radiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2275-6170","authenticated-orcid":false,"given":"Harrie","family":"Weinans","sequence":"additional","affiliation":[{"name":"Department of Orthopedics, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands"},{"name":"Department of Biomechanical Engineering, Delft University of Technology (TU Delft), 2628 CD Delft, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1929-6350","authenticated-orcid":false,"given":"Myl\u00e8ne P.","family":"Jansen","sequence":"additional","affiliation":[{"name":"Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4970-8555","authenticated-orcid":false,"given":"Wouter","family":"Foppen","sequence":"additional","affiliation":[{"name":"Department of Radiology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,6,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1007\/s11926-020-00891-x","article-title":"From Psoriasis to Psoriatic Arthritis: Insights from Imaging on the Transition to Psoriatic Arthritis and Implications for Arthritis Prevention","volume":"22","author":"Zabotti","year":"2020","journal-title":"Curr. 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