Editorial for "MRI Radiomics-Based Machine Learning for Predict of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions"

被引：3
|
作者：
Nketiah, Gabriel A. [1 ]
Bathen, Tone F. [1 ]
机构：
[1] Norwegian Univ Sci & Technol, Dept Circulat & Med Imaging, Trondheim, Norway
来源：
JOURNAL OF MAGNETIC RESONANCE IMAGING | 2021年 / 54卷 / 05期
关键词：
DATA SYSTEM; RISK;
D O I：
10.1002/jmri.27752
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
引用
收藏
页码：1474 / 1475
页数：2
相关论文
共 50 条
  • [41] Clinical -Prostate cancer Multicenter analysis of clinical and MRI characteristics associated with detecting clinically significant prostate cancer in PI-RADS (v2.0) category 3 lesions
    Al Awamlh, Bashir Al Hussein
    Marks, Leonard S.
    Sonn, Geoffrey A.
    Natarajan, Shyam
    Fan, Richard E.
    Gross, Michael D.
    Mauer, Elizabeth
    Banerjee, Samprit
    Hectors, Stefanie
    Carlsson, Sigrid
    Margolis, Daniel J.
    Hu, Jim C.
    UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS, 2020, 38 (07)
  • [42] Effects of the lesion size on clinically significant prostate cancer detection rates in PI-RADS category 3--5 lesions
    Ayranci, A.
    Caglar, U.
    Meric, A.
    Gelmis, M.
    Sarilar, O.
    Ozgor, F.
    ACTAS UROLOGICAS ESPANOLAS, 2024, 48 (07): : 526 - 531
  • [43] Clinical and Radiological Factors for Predicting Clinically Significant Prostate Cancer in Biopsy-Naive Patients With PI-RADS 3 Lesions
    Zhang, Zhiyu
    Hu, Can
    Lin, Yuxin
    Song, Ouyang
    Gong, Dongkui
    Zhang, Xuefeng
    Wang, Nan
    TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2024, 23
  • [44] Prebiopsy Biparametric MRI for Clinically Significant Prostate Cancer Detection With PI-RADS Version 2: A Multicenter Study
    Choi, Moon Hyung
    Kim, Chan Kyo
    Lee, Young Joon
    Jung, Seung Eun
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2019, 212 (04) : 839 - 846
  • [45] Contribution of Dynamic Contrast-enhanced and Diffusion MRI to PI-RADS for Detecting Clinically Significant Prostate Cancer
    Tavakoli, Anoshirwan Andrej
    Hielscher, Thomas
    Badura, Patrick
    Goertz, Magdalena
    Kuder, Tristan Anselm
    Gnirs, Regula
    Schwab, Constantin
    Hohenfellner, Markus
    Schlemmer, Heinz-Peter
    Bonekamp, David
    RADIOLOGY, 2023, 306 (01) : 186 - 199
  • [46] MULTI-INSTITUTIONAL ANALYSIS OF RISK FACTORS FOR DETECTING CLINICALLY SIGNIFICANT PROSTATE CANCER IN MEN WITH PI-RADS 3 LESIONS
    Fang, Andrew
    Shumaker, Luke
    Khajir, Ghazal
    Fan, Richard
    Soodana-Prakash, Nachiketh
    Patel, Hiten
    Sprenkle, Preston
    Sonn, Geoffrey
    Punnen, Sanoj
    Gupta, Gopal
    Rais-Bahrami, Soroush
    JOURNAL OF UROLOGY, 2021, 206 : E78 - E78
  • [47] PI-RADS Guided Discovery Radiomics for Characterization of Prostate Lesions with Diffusion-Weighted MRI
    Khalvati, Farzad
    Zhang, Yucheng
    Le, Phuong H. U.
    Gujrathi, Isha
    Haider, Masoom A.
    MEDICAL IMAGING 2019: COMPUTER-AIDED DIAGNOSIS, 2019, 10950
  • [48] 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
  • [49] A PI-RADS STRATIFIED RISK CALCULATOR FOR PREDICTION OF CLINICALLY SIGNIFICANT PROSTATE CANCER AT BIOPSY
    Andreas, Darian
    Nethala, Daniel
    Pandya, Shashank
    Alaiev, Daniel
    Samadder, Aishe
    Lee, Jeffrey
    Martinez, Mariela
    Hall, Simon
    JOURNAL OF UROLOGY, 2021, 206 : E1007 - E1007
  • [50] Is possible to rule out clinically significant prostate cancer using PI-RADS v2 for the assessment of prostate MRI?
    Cavacalla Viana, Publio Cesar
    Horvat, Natally
    dos Santos Junior, Vatter Ribeiro
    Lima, Thais Carneiro
    Romao, Davi dos Santos
    de Oliveira Cerri, Luciana Mendes
    de Castro, Marilia Germanos
    Vargas, Herbert Alberto
    Miranda, JOlia Azevedo
    Leite, Claudia da Costa
    Cerri, Giovanni Guido
    INTERNATIONAL BRAZ J UROL, 2019, 45 (04): : 724 - 731
12345