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March 27, 2019American Journal of RoentgenologyOpen Access

Interreader Variability of Prostate Imaging Reporting and Data System Version 2 in Detecting and Assessing Prostate Cancer Lesions at Prostate MRI

Matthew D. Greer Joanna H. Shih Nathan Lay Tristan Barrett Leonardo Kayat Bittencourt Samuel Borofsky Ismail Kabakus Yan Mee Law Jamie Marko Haytham Shebel Maria J. Merino Bradford J. Wood Peter A. Pinto Ronald M. Summers Peter L. Choyke Barış Türkbey

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Abstract

Radiologists across experience levels had excellent agreement for detecting index lesions and moderate agreement for category assignment of lesions using PI-RADS. Future iterations of PI-RADS should clarify PI-RADS 3 and PI-RADS 4 in the transition zone.

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Cite This Study

Greer et al. (2019) studied this question.

synapsesocial.com/papers/69f84a682edb3aad51a62e8f https://doi.org/10.2214/ajr.18.20536

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Comparison of MR/Ultrasound Fusion–Guided Biopsy With Ultrasound-Guided Biopsy for the Diagnosis of Prostate CancerCohort Study · 2015 · 1,505 citations
2Prostate cancer detection with magnetic resonance‐ultrasound fusion biopsy: The role of systematic and targeted biopsiesCohort Study · 2016 · 412 citations
3The Learning Curve in Prostate MRI Interpretation: Self-Directed Learning Versus Continual Reader FeedbackDiagnostic Study · 2016 · 134 citations
4Prostate Cancer: Interobserver Agreement and Accuracy with the Revised Prostate Imaging Reporting and Data System at Multiparametric MR ImagingOriginal Research · 2015 · 331 citations
5Interobserver Reproducibility of the PI-RADS Version 2 Lexicon: A Multicenter Study of Six Experienced Prostate RadiologistsRetrospective Study · 2016 · 503 citations

More related papers

Validation of PI‐RADS v.2 for prostate cancer diagnosis with MRI at 3T using an external phased‐array coil2016
Accuracy and Interobserver Agreement for Prostate Imaging Reporting and Data System, Version 2, for the Characterization of Lesions Identified on Multiparametric MRI of the Prostate2017
Accuracy and agreement of PIRADSv2 for prostate cancer mpMRI: A multireader study2016

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