Correlation with PI-RADS Score and Gleason’s score of Prostate Cancer
DOI:
https://doi.org/10.52783/jns.v14.2295Keywords:
prostate cancer, radical prostatectomy, staging, Gleason score, multi-parametric MRI, 3 Tesla, Spectroscopy, custom made Mold, histopathologyAbstract
Back Ground: The Prostate Imaging-Reporting and Data System (PI-RADS) is structured reporting scheme plays a crucial role in evaluating suspected prostate cancer using multiparametric MRI (mpMRI). PI-RADS provides a standardized framework for interpreting mpMRI scans of the prostate. It was developed collaboratively by the American College of Radiology (ACR), European Society of Urogenital Radiology (ESUR), and AdMeTech Foundation. The goal is to assess the likelihood of clinically significant prostate cancer based on imaging findings. It is scoring system, each suspicious lesion is assigned a score from 1 to 5, indicating the probability of clinically significant cancer.
Objective: The current study was dealt with derived the PIRADS score and observe the corelation with Gleason’s score.
Methods: Data Collection- Imaging Data was collected, stored and accessed and use of software for image analysis (e.g., radiomics tools).
Clinical Data: like patient demographics, clinical history, PSA levels were collected in patient information sheet
Histopathological Data: Recording of Gleason scores, tumor stages, and any relevant histological features.
Result: The sensitivity of mpMRI with gleasons score was 85% and specificity was 70% with PPV of 78% and NPV of 80% in PI-RADS≥3 as compared to 90%, 85%, 88%, and 82% (sensitivity, specificity, PPV and NPV) of PI-RADS≥4.
Conclusion: The study demonstrates that mpMRI, particularly with a PI-RADS ≥4 threshold, provides a reliable and effective approach for detecting clinically significant prostate cancer. By improving sensitivity, specificity, and predictive values, mpMRI enhances diagnostic accuracy and supports better decision-making in patient management. Continued advancements in imaging technology and research will further refine the utility of mpMRI in the diagnosis and treatment of prostate cancer, ultimately leading to improved patient outcomes.
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