Factors influencing variability in interpretation of prostate MRI

Motivation: Multiparametric MRI is crucial for prostate cancer detection, but false positives and variability in interpretation remain challenges. Goal(s): Investigate factors influencing the PPV of PI-RADSv2 in prostate mpMRI interpretation. Approach: Evaluated 1,388 PI-RADS ≥3 lesions from 958 individuals interpreted by 22 fellowship-trained radiologists. Analyzed clinical factors, imaging characteristics, and radiologist experience impacting PPV, including ADC value, PSA density, lesion size, and case volume. Results: ADC values and PSA density significantly influenced PPV, while radiologist experience and lesion size did not. No significant PPV variability was observed across radiologists. Combining ADC value and PSA density with PI-RADS improved classification accuracy. Impact: Incorporating ADC value and PSA density into PI-RADS scoring could improve diagnostic accuracy of prostate mpMRI interpretation, ultimately enhancing patient care.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2281
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors influencing variability in interpretation of prostate MRI

Pejman Ghanouni, Simon John Christoph Soerensen, Jarrett Rosenberg, Mirabela Rusu et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Radiomics and Machine Learning in Medical Imaging
article

Factors influencing variability in interpretation of prostate MRI

Pejman Ghanouni, Simon John Christoph Soerensen, Jarrett Rosenberg, Mirabela Rusu, Richard E. Fan, Geoffrey Sonn, Zachary Franks
article en

Abstract

Motivation: Multiparametric MRI is crucial for prostate cancer detection, but false positives and variability in interpretation remain challenges. Goal(s): Investigate factors influencing the PPV of PI-RADSv2 in prostate mpMRI interpretation. Approach: Evaluated 1,388 PI-RADS ≥3 lesions from 958 individuals interpreted by 22 fellowship-trained radiologists. Analyzed clinical factors, imaging characteristics, and radiologist experience impacting PPV, including ADC value, PSA density, lesion size, and case volume. Results: ADC values and PSA density significantly influenced PPV, while radiologist experience and lesion size did not. No significant PPV variability was observed across radiologists. Combining ADC value and PSA density with PI-RADS improved classification accuracy. Impact: Incorporating ADC value and PSA density into PI-RADS scoring could improve diagnostic accuracy of prostate mpMRI interpretation, ultimately enhancing patient care.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 65%
Radiomics and Machine Learning in Medical Imaging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.