Differences in PI-RADS Classification of Prostate Cancer Based on mpMRI Scans Taken 6 Weeks Apart
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View abstract on PubMed
Summary
This summary is machine-generated.The Prostate Imaging Reporting and Data System (PI-RADS) showed consistency in lesion identification across two MRI scans. A 6-week interval between prostate MRI scans did not significantly impact biopsy outcomes.
Area Of Science
- Radiology and Urology
- Oncology
- Medical Imaging
Background
- Prostate cancer diagnosis relies on multiparametric magnetic resonance imaging (mpMRI) and the Prostate Imaging Reporting and Data System (PI-RADS).
- Consistency in PI-RADS scoring is crucial for accurate lesion identification and subsequent biopsy planning.
- Variability in imaging protocols or time intervals between scans may affect diagnostic reliability.
Purpose Of The Study
- To assess the consistency of Prostate Imaging Reporting and Data System (PI-RADS) lesion identification in prostate cancer.
- To evaluate the impact of a 6-week interval between two multiparametric magnetic resonance imaging (mpMRI) scans on biopsy results.
- To analyze the correlation between PI-RADS scores and histological findings in a high-volume tertiary care setting.
Main Methods
- Retrospective analysis of real-world data from 111 patients undergoing two prostate mpMRI scans between 2018-2022.
- Scans were performed at different institutions with a median interval of 42 days.
- MRI-fused biopsy was conducted 7 days after the second MRI.
Main Results
- PI-RADS V and IV were the most common classifications for index lesions on in-house MRI (33.3% and 49.5%, respectively).
- Cancer detection rates varied significantly by PI-RADS score, with PI-RADS V showing the highest detection rate (91.9%).
- Malignant histology was found in 64.9% of targeted lesions and 57.7% of randomized biopsies; the biopsy plan was adjusted for 51.4% of patients.
Conclusions
- The 6-week interval between sequential prostate MRI scans did not significantly compromise the quality or reliability of biopsy results.
- PI-RADS classification remains a key factor in predicting cancer detection rates.
- Consistent lesion identification and accurate biopsy planning are achievable even with a moderate time gap between imaging studies.
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