Combination of prostate volume and apparent diffusion coefficient can stratify patients with a PI-RADS score of 3 to reduce unnecessary prostate biopsies

被引:2
作者
Dong, Qifei [1 ,2 ]
Wang, Changming [1 ]
Shen, Deyun [1 ]
Ma, Yifan [1 ]
Zhang, Bin [1 ]
Xu, Siqin [1 ]
Tao, Tao [1 ]
Xiao, Jun [1 ,2 ]
机构
[1] Univ Sci & Technol China, Affiliated Hosp USTC 1, Dept Urol, Div Life Sci & Med, Hefei, Peoples R China
[2] Anhui Med Univ, Affiliated Prov Hosp, Dept Urol, Hefei, Peoples R China
基金
中国国家自然科学基金;
关键词
apparent diffusion coefficient; clinically significant prostate cancer; diagnosis; prostate imaging reporting and data system; prostate volume; INTERNATIONAL SOCIETY; VERSION; 2; CANCER; ASSOCIATION; LESIONS; GRADE; ZONE;
D O I
10.1002/pros.24695
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Nowadays, there are many patients who undergo unnecessary prostate biopsies after receiving a prostate imaging reporting and data system (PI-RADS) score of 3. Our purpose is to identify cutoff values of the prostate volume (PV) and minimum apparent diffusion coefficient (ADCmin) to stratify those patients to reduce unnecessary prostate biopsies. MethodsData from 224 qualified patients who received prostate biopsies from January 2019 to June 2023 were collected. The Mann-Whitney U test was used to compare non-normal distributed continuous variables, which were recorded as median (interquartile ranges). The correlation coefficients were calculated using Spearman's rank correlation analysis. Categorical variables are recorded by numbers (percentages) and compared by chi(2) test. Both univariate and multivariate logistic regression analysis were used to determine the independent predictors. The receiver-operating characteristic curve and the area under the curve (AUC) were used to evaluate the diagnostic performance of clinical variables. ResultsOut of a total of 224 patients, 36 patients (16.07%) were diagnosed with clinically significant prostate cancer (csPCa), whereas 72 patients (32.14%) were diagnosed with any grade prostate cancer. The result of multivariate analysis demonstrated that the PV (p < 0.001, odds ratio [OR]: 0.952, 95% confidence interval [95% CI]: 0.927-0.978) and ADC(min) (p < 0.01, OR: 0.993, 95% CI: 0.989-0.998) were the independent factors for predicting csPCa. The AUC values of the PV and ADC(min) were 0.779 (95% CI: 0.718-0.831) and 0.799 (95% CI: 0.740-0.849), respectively, for diagnosing csPCa. After stratifying patients by PV and ADC(min), 24 patients (47.06%) with "PV < 55 mL and ADC(min) < 685 mu m(2)/s" were diagnosed with csPCa. However, only one patient (1.25%) with PV >= 55 mL and ADC(min) >= 685 mu m(2)/s were diagnosed with csPCa. Conclusions In this study, we found the combination of PV and ADC(min) can stratify patients with a PI-RADS score of 3 to reduce unnecessary prostate biopsies. These patients with "PV >= 55 mL and ADC(min) >= 685 mu m(2)/s" may safely avoid prostate biopsies.
引用
收藏
页码:780 / 787
页数:8
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