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Role of Multiparametric Magnetic Resonance Imaging in the Evaluation of Prostatic Pathologies on 3 Tesla Machine

Dileep Reddy Ayapaneni, Vilas M Kulkarni, Premchand Kalari, Sachin B Chitalkar, Deepak Koganti, Satvik Dhirawani, Purnachandra Lamghare.




Abstract
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Background and objectives:
Prostate diseases, with an overall incidence of 9%, are the leading cause affecting millions of males worldwide, with prostate cancer being the primary cause of death in males and benign prostatic hypertrophy being the primary cause of morbidity in the older age group. In light of this, we aimed to evaluate the utility of Magnetic Resonance Imaging in evaluating and characterising prostatic pathologies and grading prostatic cancer using PIRADS v2.
Methods:
This was a study carried out on 50 patients with the age group ranging from 50 to 90 years with clinical suspicion or ultrasonographically demonstrable prostatic pathology and correlation of multiparametric MRI findings on various sequences with clinical features and histopathological findings and classification into groups of benign and malignant prostatic lesions and according to the PIRADS v2 scoring.
Results:
Out of our study group, 4 cases were diagnosed with prostatitis and prostatic abscess, and 46 cases were categorized into PI-RADS, out of which most cases were classified into PI-RADS category V, followed by PI-RADS II and III. These were then evaluated with MR spectroscopy, of which 30 cases showed choline peak, and 16 cases showed citrate peak. The sensitivity and specificity for multiparametric MRI sequences combination detect prostate carcinoma was calculated, and the Positive Predictive Value (PPV) & Negative Predictive Value (NPV) was found as 76% and 92%, respectively.
Conclusion:
Based on our findings, we found out that the multiparametric MRI approach gives a wealth of practical information that has dramatically enhanced the detection and characterization of prostatic lesions. We also found that morphological and functional sequencing improves the sensitivity and specificity of the lesions' identification and characterization.

Key words: Prostate MRI, PIRADS, MR Spectroscopy, Prostate cancer






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