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A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
Published on: March 21, 2025
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Clinical and Imaging Predictors of False-Positive and False-Negative Results in Prostate Multiparametric MRI Using
Bassel Salka1, Jonathan P Troost2, Sonia Gaur3
1Department of Urology, Henry Ford Health System, Detroit, Mich.
Radiology. Imaging Cancer
|February 14, 2025
Summary
Prostate multiparametric MRI (mpMRI) interpretation using PI-RADS v2 can be improved by considering prostate-specific antigen (PSA) density and patient age to reduce false-positive and false-negative results in prostate cancer detection.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Prostate multiparametric MRI (mpMRI) is crucial for prostate cancer detection.
- The Prostate Imaging and Reporting Data System version 2 (PI-RADS v2) is widely used for standardized interpretation.
- False-positive (FP) and false-negative (FN) results can impact clinical decision-making.
Purpose of the Study:
- To identify predictors of false-positive (FP) and false-negative (FN) results in prostate cancer detection using prostate mpMRI with PI-RADS v2.
- To evaluate the independent predictive value of prostate-specific antigen (PSA) density and patient age.
Main Methods:
- Retrospective cohort study of 2548 patients undergoing prostate mpMRI with PI-RADS v2.
- Analysis of prospective PI-RADS v2 scores, subsequent biopsy results, patient age, lesion characteristics, and PSA density.
- Logistic regression was used to assess predictors of FP and FN results.
Main Results:
- FP results were associated with younger age, smaller lesions, transition zone location, and low PSA density.
- FN results were associated with older age and high PSA density.
- PSA density and patient age independently predicted both FP and FN results.
Conclusions:
- Prostate-specific antigen (PSA) density and patient age are significant independent predictors of false-positive and false-negative prostate cancer detection at mpMRI using PI-RADS v2.
- Incorporating these factors into mpMRI interpretation may enhance diagnostic accuracy and improve prostate cancer diagnosis.
- These predictors are not currently part of the PI-RADS v2 scoring system.
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