Effects of the lesion size on clinically significant prostate cancer detection rates in PI-RADS category 3--5 lesions

被引:0
|
作者
Ayranci, A. [1 ]
Caglar, U. [1 ]
Meric, A. [1 ]
Gelmis, M. [1 ]
Sarilar, O. [1 ]
Ozgor, F. [1 ]
机构
[1] Hosp Formac & Invest Haseki, Serv Urol, Estambul, Turkiye
来源
ACTAS UROLOGICAS ESPANOLAS | 2024年 / 48卷 / 07期
关键词
Prostate cancer; Lesion volume; PI-RADS; Screening; Fusion biopsy; PREDICT; RISK;
D O I
10.1016/j.acuro.2024.01.003
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Introduction: Prostate cancer (PCa) ranks second among prevalent cancers in men, necessitating effective screening tools such as multiparametric magnetic resonance imaging (mpMRI) with the prostate imaging reporting and data system (PI-RADS) classification. This study explores the impact of lesion volume on clinically significant prostate cancer (csPCa) detection rates in PI-RADS 3--5 lesions, aiming to contribute insights into the underexplored relationship between lesion size and csPCa detection. Materials and methods: A retrospective analysis was conducted on data from 754 patients undergoing mpMRI-guided transrectal ultrasound (TRUS) prostate biopsy between January 2016 and 2023. Patients with PI-RADS 3, 4, and 5 lesions were included. Lesion size and PI-RADS categories were assessed through mpMRI, followed by MR fusion biopsy. Results: Of the patients, 33.7%, 52.3%, and 14.1% had PI-RADS 3, 4, and 5 lesions, respectively. Lesion sizes correlated significantly with csPCa detection in PI-RADS 4 and 5 categories. For PI-RADS 3 lesions, no significant differences in csPCa rates were observed based on lesion size. However, in PI-RADS 4 and 5 groups, larger lesions showed higher csPCa rates. Conclusions: This study suggests that subgroup categorizations based on lesion volume could predict clinically significant PCa with high accuracy, potentially reducing unnecessary biopsies and associated overtreatment. Future research should further explore the relationship between lesion size and csPCa, clarifying discussions regarding the inclusion of systematic biopsies in diagnostic protocols. (c) 2024 AEU. Published by Elsevier Espana, S.L.U. All rights reserved.
引用
收藏
页码:526 / 531
页数:6
相关论文
共 50 条
  • [21] Transition zone-based prostate-specific antigen density for differentiating clinically significant prostate cancer in PI-RADS score 3 lesions
    Jin, Yongming
    Chen, Fei
    Xu, Gang
    Wei, Chaogang
    Dong, Congsong
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [22] Assessment of PI-RADS v2 categories ≥ 3 for diagnosis of clinically significant prostate cancer
    Nayana U. Patel
    Kimberly E. Lind
    Kavita Garg
    David Crawford
    Priya N. Werahera
    Sajal S. Pokharel
    Abdominal Radiology, 2019, 44 : 705 - 712
  • [23] The diagnostic performance in clinically significant prostate cancer with PI-RADS version 2.1: simplified bpMRI versus standard mpMRI
    Song, Jihui
    Zhao, Chenglin
    Zhang, Fei
    Yuan, Yingdi
    Wang, Lee M.
    Sah, Vivek
    Zhang, Jun
    Weng, Wencai
    Yang, Zhenghan
    Wang, Zhenchang
    Wang, Liang
    ABDOMINAL RADIOLOGY, 2023, 48 (02) : 704 - 712
  • [24] The diagnostic performance in clinically significant prostate cancer with PI-RADS version 2.1: simplified bpMRI versus standard mpMRI
    Jihui Song
    Chenglin Zhao
    Fei Zhang
    Yingdi Yuan
    Lee M. Wang
    Vivek Sah
    Jun Zhang
    Wencai Weng
    Zhenghan Yang
    Zhenchang Wang
    Liang Wang
    Abdominal Radiology, 2023, 48 : 704 - 712
  • [25] The use of 68Ga-PSMA PET/CT to stratify patients with PI-RADS 3 lesions according to clinically significant prostate cancer risk
    Yang, Jinhui
    Tang, Yongxiang
    Zhou, Chuanchi
    Zhou, Ming
    Li, Jian
    Hu, Shuo
    PROSTATE, 2023, 83 (05) : 430 - 439
  • [26] Avoiding Unnecessary Systematic Biopsy in Clinically Significant Prostate Cancer: Comparison Between MRI-Based Radiomics Model and PI-RADS Category
    Cheng, Xueqing
    Chen, Yuntian
    Xu, Hui
    Ye, Lei
    Tong, Shun
    Li, Haixia
    Zhang, Tianjing
    Tian, Song
    Qi, Jin
    Zeng, Hao
    Yao, Jin
    Song, Bin
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2023, 57 (02) : 578 - 586
  • [27] The role of the size and number of index lesion in the diagnosis of clinically significant prostate cancer in patients with PI-RADS 4 lesions who underwent in-bore MRI-guided prostate biopsy
    Mert Kilic
    Serdar Madendere
    Metin Vural
    Ersin Koseoglu
    Mevlana Derya Balbay
    Tarik Esen
    World Journal of Urology, 2023, 41 : 449 - 454
  • [28] Predicting clinically significant prostate cancer in PI-RADS 3 lesions using MRI-based radiomics: a literature review of methodological variations and performance
    Serrano, Alejandro
    Louviere, Christopher
    Singh, Anmol
    Ozdemir, Savas
    Hernandez, Mauricio
    Balaji, K. C.
    Gopireddy, Dheeraj R.
    Gumus, Kazim Z.
    ABDOMINAL RADIOLOGY, 2025,
  • [29] Editorial for "MRI Radiomics-Based Machine Learning for Predict of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions"
    Nketiah, Gabriel A.
    Bathen, Tone F.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2021, 54 (05) : 1474 - 1475
  • [30] 3D-AttenNet model can predict clinically significant prostate cancer in PI-RADS category 3 patients: a retrospective multicenter study
    Bao, Jie
    Zhao, Litao
    Qiao, Xiaomeng
    Li, Zhenkai
    Ji, Yanting
    Su, Yueting
    Ji, Libiao
    Shen, Junkang
    Liu, Jiangang
    Tian, Jie
    Wang, Ximing
    Shen, Hailin
    Hu, Chunhong
    INSIGHTS INTO IMAGING, 2025, 16 (01):