Research Journal of Medical Sciences
ISSN: Online 1993-6095ISSN: Print 1815-9346
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Abstract
Prostate cancer detection is crucial for optimal patient management. Multiparametric Magnetic Resonance Imaging (mp MRI) offers improved sensitivity, specificity and risk stratification. Multiparametric MRI combines several imaging sequences, including T2‐weighted imaging, diffusion‐weighted imaging, dynamic contrast‐enhanced imaging and sometimes spectroscopy, providing valuable anatomical and functional information for improved visualization of the prostate gland and suspicious lesions. The study evaluates the diagnostic accuracy of multiparametric MRI in prostate cancer detection, to investigate the association between Prostate Imaging Reporting and Data System (PI‐RADS) scores and Gleason scores obtained from histopathological analysis. A total of 30 patients with clinical suspicion of prostate cancer underwent mp MRI examinations. The mp MRI data were assessed using the PI‐RADS scoring system. Subsequently, all patients underwent prostate biopsy for histopathological analysis to determine the Gleason score. Diagnostic accuracy measures, including sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV), were calculated for mp MRI in detecting prostate cancer. The association between PI‐RADS scores and Gleason scores was analyzed using appropriate statistical methods. In this observational study, mpMRI demonstrated a diagnostic accuracy of 89%. The association between PI‐RADS scores and Gleason scores was found to be highly significant, suggesting a significant correlation between mp MRI‐based assessments and histopathological analyses. The study also identified the trade‐off between sensitivity and specificity of mp MRI in detecting prostate cancer. This study provides valuable insights into the diagnostic accuracy of mp MRI in detecting prostate cancer. The findings suggest that mp MRI is a promising tool for non‐invasive diagnosis. The observed correlation between PI‐RADS scores and Gleason scores further underscores the potential of mp MRI in assisting clinical decision‐making. These results support the continued integration of mp MRI in the management of prostate carcinoma, offering a non‐invasive, reliable method for early detection and risk assessment.
How to cite this article:
Minisha A. Jenifer, O.C. Assvath and S. Vinod. Analysis of Multiparametric MRI Data in Prostatic Carcinoma‐PI RADS in 1.5 Tesla and Correlation With Gleason Score‐An Observational Study.
DOI: https://doi.org/10.36478/10.36478/makrjms.2024.7.336.340
URL: https://www.makhillpublications.co/view-article/1815-9346/10.36478/makrjms.2024.7.336.340