Value of multiparametric magnetic resonance imaging in prostate cancer detection based on#br# prostate imaging reporting and data system version 2

ZENG Hao1; YANG Guo-qing1; FU Quan-shui1; CHEN Hong1; ZHAO Lin-wei1; NIU Xiang-ke2

Journal of China Clinic Medical Imaging ›› 2017, Vol. 28 ›› Issue (1) : 60-63.

ZENG Hao1, YANG Guo-qing1, FU Quan-shui1, CHEN Hong1, ZHAO Lin-wei1, NIU Xiang-ke2

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Abstract

Objective: To evaluate interobserver agreement and diagnosis value with the use of updated Prostate Imaging Reporting and Data System version 2(PI-RADS v2) for the detection of prostate cancer. Methods: The multiparametric MRI images of 176 histologically proven prostate lesions were analyzed retrospectively. Prostate biopsy was performed under the guidance of TRUS. Biopsied lesions were evaluated according to the PI-RADS v2 and compared with histopathological findings by two observers blindly. Cohen’s Kappa statistics were calculated to evaluate the consistency of the two observers and the area under the receiver operating characteristic curve(ROC-AUC) was calculated to evaluate the diagnosis value of PI-RADS v2. Results: Interobserver agreement for peripheral zone and transition zone lesions were 0.63 and 0.60, respectively. For peripheral zone cancer and transition zone cancer, the sensitivity, specificity, PPV, and NPV were 85%, 79%, 76%, 87% and 81%, 69%, 64%, 72%, respectively. Conclusion: The application of updated PI-RADS v2 provides high interobserver agreement for detecting peripheral zone and transition zone lesions. Futhermore, PI-RADS v2 can achieve relatively high sensitivity and NPV in the diagnosis of peripheral zone cancer. For transition zone cancer, although PI-RADS v2 can achieve relatively high sensitivity, the specificity needs to be improved.

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Prostatic neoplasms / Magnetic resonance imaging

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ZENG Hao1, YANG Guo-qing1, FU Quan-shui1, CHEN Hong1, ZHAO Lin-wei1, NIU Xiang-ke2. Value of multiparametric magnetic resonance imaging in prostate cancer detection based on#br# prostate imaging reporting and data system version 2[J]. Journal of China Clinic Medical Imaging. 2017, 28(1): 60-63

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