Diagnostic efficacy of prostate imaging reporting and data system version 2.1 based on multiparametric MRI in detection of clinically significant prostate cancer
10.3760/cma.j.cn112149-20230822-00117
- VernacularTitle:基于多参数MRI的PI-RADS v2.1对临床有意义前列腺癌的诊断价值
- Author:
Xiao FENG
1
;
Xin CHEN
;
He ZHOU
;
Yi HONG
;
Chunxia ZHU
;
Libing LU
;
Siyu XIE
;
Sijun ZHANG
;
Liling LONG
Author Information
1. 广西医科大学第一附属医院放射科，南宁 530021
- Keywords:
Magnetic resonance imaging;
Clinically significant prostate cancer;
Prostate imaging reporting and data system
- From:
Chinese Journal of Radiology
2023;57(11):1193-1199
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the diagnostic performance of the prostate imaging reporting and data system version 2.1 (PI-RADS v2.1) based on multiparametric MRI (mpMRI) in the detection of clinically significant prostate cancer (csPCa).Methods:A total of 561 patients who underwent prostate mpMRI in the First Affiliated Hospital of Guangxi Medical University from June 2015 to December 2020 due to elevated prostate specific antigen were collected ambispectively. The patients were divided into csPCa group (276 cases) and non-csPCa group (285 cases) according to pathological findings. Prostate were scored according to the PI-RADS v2.1 scoring standard by a junior and a senior radiologist. The prostate volume was measured and the prostate specific antigen density (PSAD) was calculated. The diffusion-weighted imaging and dynamic contrast-enhanced MRI images were processed to measure the quantitative parameters of the index lesion, including apparent diffusion coefficient (ADC), volume transfer constant (K trans) and rate constant (K ep) values. The Mann-Whitney U test was used to compare the difference in parameters between the two groups. The predictors of csPCa were screened by logistic regression analysis. Predictive model of multi-parameter was established. The receiver operator characteristic curves were used to evaluate the efficacy of PI-RADS v2.1 and the model in diagnosing csPCa, and the comparisons of area under the curve (AUC) were conducted by DeLong test. Results:Compared with non-csPCa group, the patients in csPCa group had higher PI-RADS score of senior physician, PSAD, K trans and K ep value, lower ADC value ( Z=-16.69, -12.49, -3.43, -4.67, 13.91, all P<0.001). The PI-RADS scores of senior physician (OR=3.064, 95%CI 2.428-3.866, P<0.001), PSAD (OR=1.554, 95%CI 1.170-2.064, P=0.002) and ADC value (OR=0.095, 95%CI 0.032-0.288, P<0.001) were the predictors of csPCa. The AUC of junior, senior physician PI-RADS and combined prediction model were 0.861 (95%CI 0.830-0.892), 0.895 (95%CI 0.868-0.922) and 0.923 (95%CI 0.898-0.944). The pairwise difference was statistically significant (the PI-RADS score between the junior and senior physicians Z=3.24, P=0.001, the difference between the PI-RADS score of junior physician and prediction model Z=5.54, P<0.001, the difference between the PI-RADS score of senior physician and prediction model Z=4.20, P<0.001). Conclusion:Based on mpMRI, the application of PI-RADS v2.1 by junior and senior radiologists has the high diagnostic efficacy for csPCa, and the multi-parameter model has the best diagnostic efficacy for csPCa.
