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Improving membranous urethral length measurements on prostate MRI: a comparison of online training methods

  • Elisabeth P. Goedegebuure
  • , Thierry N. Boellaard
  • , Membranous Urethral Length – Training and Interpretation (MUL-TI READ) collaborative
  • , Margriet C. van Dijk-de Haan
  • , Stijn W.T.P.J. Heijmink
  • , Marinus J. Hagens
  • , Renaud Tissier
  • , Joost J.M. van Griethuysen
  • , Artem Khmelinkskii
  • , Regina G.H. Beets-Tan
  • , Ivo G. Schoots
  • , Doenja M.J. Lambregts*
  • *Corresponding author for this work
  • Netherlands Cancer Institute
  • Maastricht University
  • Utrecht University
  • Sant'Andrea Hospital
  • Royal Marsden NHS Foundation Trust
  • North West Hospital Group
  • Reinier de Graaf Groep
  • Amstelland Hospital
  • Medical Termal Center Fontana
  • Meander Medical Center
  • Clinical County Hospital Cluj-Napoca
  • University Hospital Tübingen
  • Ege University Hospiral
  • Onze Lieve Vrouwe Gasthuis
  • Tartu University Hospital and Institute of Clinical Medicine
  • Unidade Local de Saúde de Santo António
  • Hospital Italiano de Buenos Aires
  • Laurentius Hospital
  • University of Naples Federico II
  • Griffith University Queensland
  • Royal Brisbane and Women's Hospital
  • Catharina Hospital
  • Amsterdam UMC
  • ULS São João
  • University of Porto
  • Cambridge University Hospitals NHS Foundation Trust
  • University of Barcelona
  • Elkerliek Hospital
  • PixelData SRL
  • Zuger Kantonsspital
  • University of Bern
  • BovenIJ Hospital

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

Objectives: 

This study compared three online training methods to enhance diagnostic performance, reader confidence, and interreader agreement in membranous urethral length (MUL) measurements. 

Materials and methods: 

Ninety-nine study participants were asked to measure the MUL on 20 test cases at the start of the study and rated their confidence level. 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. 

Results: 

Eighty-one participants (82%) completed the study. All groups demonstrated significant improvements in diagnostic performance and confidence (p < 0.001), with similar outcomes across training groups. Interreader agreement improved from ICC 0.52–0.56 pre-training to 0.74–0.80 post-training. Questionnaire responses indicated most found the training appropriate; however, 17% of Group A felt it was insufficient, while 30–35% of Group C found the expert-led training too time-consuming. 

Conclusion: 

All training methods—ranging from minimal, with written instructions only, to more comprehensive case-based programs—effectively 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. 

Key Points: 

Question Which method of online training is most effective to train radiologists in measuring the membranous urethral length (MUL) on prostate MRI? Findings 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. Clinical relevance 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.

Original languageEnglish
Pages (from-to)6419-6427
Number of pages9
JournalEuropean Radiology
Volume36
Issue number8
DOIs
Publication statusPublished - Aug 2026

Bibliographical note

Publisher Copyright:
© The Author(s) 2026.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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