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
相关论文
共 29 条
  • [21] PSA density in the diagnosis of prostate cancer in the Chinese population: results from the Chinese Prostate Cancer Consortium
    Song, Zi-Jian
    Qian, Jin-Ke
    Yang, Yue
    Wu, Han-Xiao
    Wang, Mao-Yu
    Jiang, Si-Yuan
    Wang, Fu-Bo
    Zhang, Wei
    Chen, Rui
    [J]. ASIAN JOURNAL OF ANDROLOGY, 2021, 23 (03) : 300 - 305
  • [22] Association Between Prostate Imaging Reporting and Data System (PI-RADS) Score for the Index Lesion and Multifocal, Clinically Significant Prostate Cancer
    Stabile, Armando
    Dell'Oglio, Paolo
    De Cobelli, Francesco
    Esposito, Antonio
    Gandaglia, Giorgio
    Fossati, Nicola
    Brembilla, Giorgio
    Cristel, Giulia
    Cardone, Gianpiero
    Deho, Federico
    Losa, Andrea
    Suardi, Nazareno
    Gaboardi, Franco
    Del Maschio, Alessandro
    Montorsi, Francesco
    Briganti, Alberto
    [J]. EUROPEAN UROLOGY ONCOLOGY, 2018, 1 (01): : 29 - 36
  • [23] Recent advances and future perspectives in the therapeutics of prostate cancer
    Varaprasad, Ganji Lakshmi
    Gupta, Vivek Kumar
    Prasad, Kiran
    Kim, Eunsu
    Tej, Mandava Bhuvan
    Mohanty, Pratik
    Verma, Henu Kumar
    Raju, Ganji Seeta Rama
    Bhaskar, Lvks
    Huh, Yun Suk
    [J]. EXPERIMENTAL HEMATOLOGY & ONCOLOGY, 2023, 12 (01)
  • [24] The Impact of Prostate Volume on the Prostate Imaging and Reporting Data System (PI-RADS) in a Real-World Setting
    Volz, Yannic
    Apfelbeck, Maria
    Pyrgidis, Nikolaos
    Pfitzinger, Paulo L.
    Berg, Elena
    Ebner, Benedikt
    Enzinger, Benazir
    Ivanova, Troya
    Atzler, Michael
    Kazmierczak, Philipp M.
    Clevert, Dirk-Andre
    Stief, Christian
    Chaloupka, Michael
    [J]. DIAGNOSTICS, 2023, 13 (16)
  • [25] Combination of PI-RADS score and PSAD can improve the diagnostic accuracy of prostate cancer and reduce unnecessary prostate biopsies
    Wang, Changming
    Yuan, Lei
    Shen, Deyun
    Zhang, Bin
    Wu, Baorui
    Zhang, Panrui
    Xiao, Jun
    Tao, Tao
    [J]. FRONTIERS IN ONCOLOGY, 2022, 12
  • [26] PI-RADS Prostate Imaging - Reporting and Data System: 2015, Version 2
    Weinreb, Jeffrey C.
    Barentsz, Jelle O.
    Choyke, Peter L.
    Cornud, Francois
    Haider, Masoom A.
    Macura, Katarzyna J.
    Margolis, Daniel
    Schnall, Mitchell D.
    Shtern, Faina
    Tempany, Clare M.
    Thoeny, Harriet C.
    Verma, Sadna
    [J]. EUROPEAN UROLOGY, 2016, 69 (01) : 16 - 40
  • [27] Correlation between apparent diffusion coefficient value on diffusion-weighted MR imaging and Gleason score in prostate cancer
    Wu, X.
    Reinikainen, P.
    Vanhanen, A.
    Kapanen, M.
    Vierikko, T.
    Ryymin, P.
    Hyodynmaa, S.
    Kellokumpu-Lehtinen, P. -L.
    [J]. DIAGNOSTIC AND INTERVENTIONAL IMAGING, 2017, 98 (01) : 63 - 71
  • [28] Cancer statistics in China and United States, 2022: profiles, trends, and determinants
    Xia, Changfa
    Dong, Xuesi
    Li, He
    Cao, Maomao
    Sun, Dianqin
    He, Siyi
    Yang, Fan
    Yan, Xinxin
    Zhang, Shaoli
    Li, Ni
    Chen, Wanqing
    [J]. CHINESE MEDICAL JOURNAL, 2022, 135 (05) : 584 - 590
  • [29] Performing Precise Biopsy in Naive Patients With Equivocal PI-RADS, Version 2, Score 3, Lesions: An MRI-based Nomogram to Avoid Unnecessary Surgical Intervention
    Zhang, Yu
    Zeng, Na
    Zhang, Feng Bo
    Huang, Yang Xin Rui
    Tian, Ye
    [J]. CLINICAL GENITOURINARY CANCER, 2020, 18 (05) : 367 - 377