1* Junior Resident, Department of Radiology, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam - 603103, Tamil Nadu, India (Corresponding Author). Email: babugovinda48@gmail.com | ORCID: 0009-0003-8022-0213
2 Associate Professor, Department of Radiology, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam - 603103, Tamil Nadu, India. Email: anup.chakravarthy@gmail.com | ORCID: 0009-0007-9659-4569
3 Senior Resident, Department of Radio Diagnosis, Al Azhar Medical College & Super Speciality Hospital, Thodupuzha, Kerala. Email: binalkmathew@gmail.com | ORCID: 0009-0005-9882-8571
4 Professor, Department of Radiology, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam - 603103, Tamil Nadu, India. Email: dranand1987@gmail.com | ORCID: 0000-0002-2559-9764
5 Junior Resident, Department of Radiology, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam - 603103, Tamil Nadu, India. Email: mariahjegan@gmail.com | ORCID: 0009-0005-2457-4572
Background
Traditional diagnostic methods for prostate cancer, such as PSA testing, digital rectal evaluation, and TRUS-guided biopsy, exhibit restricted accuracy. Multiparametric MRI has become a dependable, non-invasive modality with enhanced sensitivity and specificity for the early diagnosis, localisation, and characterisation of prostate lesions.
Methods
The study was conducted over a duration of 18 months among clinically suspected prostate cancer patients who were investigated by MRI on PHILIPS ACHIEVA 1.5 Tesla MRI machine. Multiphasic scanning with T1W, T2W, diffusion weighted imaging and Dynamic contrast image acquisition was done. Histopathology correlation was done in all the cases.
Results
PI-RADS v2.1 demonstrated 85.7% sensitivity (95% CI: 73.8–93.0), detecting most clinically significant prostate cancers. Specificity reached 100% (95% CI: 59.0–100), with no false positives. Positive predictive value (PPV) was 100% (95% CI: 91.6–100), indicating all PI-RADS ≥ 4 lesions with biopsy confirmation were clinically significant. Negative predictive value (NPV) was also good at 73% (95% CI: 63.7–81.3); this indicated good negative predictive accuracy as well. Overall diagnostic accuracy was 87.5% (95% CI: 75.9–94.8).
Conclusion
The findings validated the utility of multiparametric MRI (mpMRI) and PI-RADS v2.1 as effective tools for detecting prostate cancer, highlighting their contribution to enhanced diagnostic precision and informed clinical decision-making. The study demonstrated a robust correlation between imaging-based classifications and histopathological results, confirming mpMRI as a dependable, non-invasive method for assessing prostate lesions.
Keywords: Histopathological examination, Multiparametric MRI, PI-RADS v2, Prostate cancer
How to cite this article: Ambady GB, Jayaraj AC, Mathew B, Anand R, Jegan M. Assessment of Role of Multi Parametric Magnetic Resonance Imaging in Diagnosing Prostate Cancer. Int J Drug Deliv Technol. 2026;16(4): 177-183. DOI: 10.25258/ijddt.16.4.19
Source of support: Nil.
Conflict of interest: None