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Participants were then divided semi-randomly into three training groups: Group A (written instructions), Group B (1-month self-study program with case feedback using a dedicated web platform), and Group C (1-day online expert-led case-based training). Groups B and C worked through an identical set of 40 cases. One week after completing training, participants evaluated the same 20 test cases. Diagnostic performance (using expert reference standard), interreader agreement (intraclass correlation coefficient, ICC), and reader confidence levels were compared before and after training. Participants completed a questionnaire evaluating their perceptions of the training.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Eighty-one participants (82%) completed the study. All groups demonstrated significant improvements in diagnostic performance and confidence (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001), with similar outcomes across training groups. Interreader agreement improved from ICC 0.52\u20130.56 pre-training to 0.74\u20130.80 post-training. Questionnaire responses indicated most found the training appropriate; however, 17% of Group A felt it was insufficient, while 30\u201335% of Group C found the expert-led training too time-consuming.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>All training methods\u2014ranging from minimal, with written instructions only, to more comprehensive case-based programs\u2014effectively improved diagnostic performance, reader confidence and interreader agreement for MUL measurements on prostate MRI. Independent online training offers practical advantages over more time-demanding hands-on sessions, supporting broader clinical implementation of MUL-based individualized continence prediction.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Key Points<\/jats:title>\n                    <jats:p>\n                      <jats:bold>\n                        <jats:italic>Question<\/jats:italic>\n                      <\/jats:bold>\n                      <jats:italic>Which method of online training is most effective to train radiologists in measuring the membranous urethral length (MUL) on prostate MRI?<\/jats:italic>\n                    <\/jats:p>\n                    <jats:p>\n                      <jats:bold>\n                        <jats:italic>Findings<\/jats:italic>\n                      <\/jats:bold>\n                      <jats:italic>81 radiologists showed significant gains in diagnostic performance, confidence and interreader agreement, with similar results after written instructions, case-based self-study, or hands-on expert-led training<\/jats:italic>\n                      .\n                    <\/jats:p>\n                    <jats:p>\n                      <jats:bold>\n                        <jats:italic>Clinical relevance<\/jats:italic>\n                      <\/jats:bold>\n                      <jats:italic>Enhanced accuracy and interreader consistency achieved through online training can facilitate wider clinical adoption of MUL-based continence prediction, strengthening patient counseling and shared decision making in prostate cancer management<\/jats:italic>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00330-026-12468-w","type":"journal-article","created":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T03:59:25Z","timestamp":1774929565000},"page":"6419-6427","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Improving membranous urethral length measurements on prostate MRI: a comparison of online training methods"],"prefix":"10.1007","volume":"36","author":[{"given":"Elisabeth P.","family":"Goedegebuure","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thierry N.","family":"Boellaard","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Margriet C.","family":"van Dijk-de Haan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stijn W. 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