(2024). Accuracy of Multi-Parametric MRI in Prostate Cancer Diagnosis. The Egyptian Journal of Hospital Medicine, 96(1), 2791-2795. doi: 10.21608/ejhm.2024.372551
. "Accuracy of Multi-Parametric MRI in Prostate Cancer Diagnosis". The Egyptian Journal of Hospital Medicine, 96, 1, 2024, 2791-2795. doi: 10.21608/ejhm.2024.372551
(2024). 'Accuracy of Multi-Parametric MRI in Prostate Cancer Diagnosis', The Egyptian Journal of Hospital Medicine, 96(1), pp. 2791-2795. doi: 10.21608/ejhm.2024.372551
Accuracy of Multi-Parametric MRI in Prostate Cancer Diagnosis. The Egyptian Journal of Hospital Medicine, 2024; 96(1): 2791-2795. doi: 10.21608/ejhm.2024.372551
Accuracy of Multi-Parametric MRI in Prostate Cancer Diagnosis
Background: When it comes to male cancers, prostate cancer is the second most common malignancy on a global scale. A transrectal ultrasound-guided biopsy (TRUS-biopsy) could be performed to diagnose prostate cancer in men who have an elevated blood prostate specific antigen (PSA). Objective: To determine whether males with elevated PSAs might safely forego unnecessary biopsy by using multi-parametric magnetic resonance imaging (MP-MRI) as a triage test. Patients and Methods: The study was conducted at Badr University Hospital and Nasr-City Health Insurance Hospital on 60 patients with clinical suspicion of prostate cancer. The duration of the study was 12 months. Results: The Multi-parametric MRI findings recorded; 10% of patients had prostatitis, 65% had prostatic cancer and 25% had benign prostatic hyperplasia (BPH). Regarding TRUS-biopsy findings, 60% of the patients were positive for cancer prostate, and 40% of the population were negative. The mean serum (PSA) for the patients was 12.34 (ng/mL) with SD 2.98. The MP-MRI was able to correctly identify 33 out of 36 patients with carcinoma (when the comparison is made with the (TRUS-biopsy). It could also exclude 18 out of 24 patients without carcinoma when compared to the biopsy. The sensitivity of MP-MRI was 91.7 %, specificity was 75%, positive predictive value (PVP) was 84.6 % and negative predictive value (PVN) was 85.7%. There was moderate agreement between both techniques (k= 0.68). Conclusion: Using multi-parametric MRI could lead to a decrease in needless biopsies and an increase in the number of clinically meaningful prostate cancer diagnoses, perhaps preventing overdiagnosis and overtreatment.
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