173 related articles for article (PubMed ID: 32740863)
1. A radiomics machine learning-based redefining score robustly identifies clinically significant prostate cancer in equivocal PI-RADS score 3 lesions.
Hou Y; Bao ML; Wu CJ; Zhang J; Zhang YD; Shi HB
Abdom Radiol (NY); 2020 Dec; 45(12):4223-4234. PubMed ID: 32740863
[TBL] [Abstract][Full Text] [Related]
2. Magnetic Resonance Imaging Radiomics-Based Machine Learning Prediction of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions.
Hectors SJ; Chen C; Chen J; Wang J; Gordon S; Yu M; Al Hussein Al Awamlh B; Sabuncu MR; Margolis DJA; Hu JC
J Magn Reson Imaging; 2021 Nov; 54(5):1466-1473. PubMed ID: 33970516
[TBL] [Abstract][Full Text] [Related]
3. Machine learning-based radiomics model to predict benign and malignant PI-RADS v2.1 category 3 lesions: a retrospective multi-center study.
Jin P; Shen J; Yang L; Zhang J; Shen A; Bao J; Wang X
BMC Med Imaging; 2023 Mar; 23(1):47. PubMed ID: 36991347
[TBL] [Abstract][Full Text] [Related]
4. Improvement of PI-RADS-dependent prostate cancer classification by quantitative image assessment using radiomics or mean ADC.
Zhang KS; Schelb P; Kohl S; Radtke JP; Wiesenfarth M; Schimmöller L; Kuder TA; Stenzinger A; Hohenfellner M; Schlemmer HP; Maier-Hein K; Bonekamp D
Magn Reson Imaging; 2021 Oct; 82():9-17. PubMed ID: 34147597
[TBL] [Abstract][Full Text] [Related]
5. [The value of machine learning models based on biparametric MRI for diagnosis of prostate cancer and clinically significant prostate cancer].
Qiao XM; Hu CH; Hu S; Hu CH; Wang XM; Shen JK; Ji LB; Song Y; Bao J
Zhonghua Yi Xue Za Zhi; 2023 May; 103(19):1446-1454. PubMed ID: 37198106
[No Abstract] [Full Text] [Related]
6. Which clinical and radiological characteristics can predict clinically significant prostate cancer in PI-RADS 3 lesions? A retrospective study in a high-volume academic center.
Hermie I; Van Besien J; De Visschere P; Lumen N; Decaestecker K
Eur J Radiol; 2019 May; 114():92-98. PubMed ID: 31005183
[TBL] [Abstract][Full Text] [Related]
7. Utility of Clinical-Radiomic Model to Identify Clinically Significant Prostate Cancer in Biparametric MRI PI-RADS V2.1 Category 3 Lesions.
Jin P; Yang L; Qiao X; Hu C; Hu C; Wang X; Bao J
Front Oncol; 2022; 12():840786. PubMed ID: 35280813
[TBL] [Abstract][Full Text] [Related]
8. Magnetic resonance imaging radiomics-based prediction of clinically significant prostate cancer in equivocal PI-RADS 3 lesions in the transitional zone.
Zhao YY; Xiong ML; Liu YF; Duan LJ; Chen JL; Xing Z; Lin YS; Chen TH
Front Oncol; 2023; 13():1247682. PubMed ID: 38074651
[TBL] [Abstract][Full Text] [Related]
9. Development and Validation of a Radiomics Nomogram for Predicting Clinically Significant Prostate Cancer in PI-RADS 3 Lesions.
Li T; Sun L; Li Q; Luo X; Luo M; Xie H; Wang P
Front Oncol; 2021; 11():825429. PubMed ID: 35155214
[TBL] [Abstract][Full Text] [Related]
10. Multiparametric MRI for Prostate Cancer Characterization: Combined Use of Radiomics Model with PI-RADS and Clinical Parameters.
Woźnicki P; Westhoff N; Huber T; Riffel P; Froelich MF; Gresser E; von Hardenberg J; Mühlberg A; Michel MS; Schoenberg SO; Nörenberg D
Cancers (Basel); 2020 Jul; 12(7):. PubMed ID: 32630787
[TBL] [Abstract][Full Text] [Related]
11. Association Between Prostate Imaging Reporting and Data System (PI-RADS) Score for the Index Lesion and Multifocal, Clinically Significant Prostate Cancer.
Stabile A; Dell'Oglio P; De Cobelli F; Esposito A; Gandaglia G; Fossati N; Brembilla G; Cristel G; Cardone G; Deho' F; Losa A; Suardi N; Gaboardi F; Del Maschio A; Montorsi F; Briganti A
Eur Urol Oncol; 2018 May; 1(1):29-36. PubMed ID: 31100225
[TBL] [Abstract][Full Text] [Related]
12. Utility of machine learning of apparent diffusion coefficient (ADC) and T2-weighted (T2W) radiomic features in PI-RADS version 2.1 category 3 lesions to predict prostate cancer diagnosis.
Lim CS; Abreu-Gomez J; Thornhill R; James N; Al Kindi A; Lim AS; Schieda N
Abdom Radiol (NY); 2021 Dec; 46(12):5647-5658. PubMed ID: 34467426
[TBL] [Abstract][Full Text] [Related]
13. Development and external validation of a novel nomogram to predict prostate cancer in biopsy-naïve patients with PSA <10 ng/ml and PI-RADS v2.1 = 3 lesions.
Hu C; Sun J; Xu Z; Zhang Z; Zhou Q; Xu J; Chen H; Wang C; Ouyang J
Cancer Med; 2023 Feb; 12(3):2560-2571. PubMed ID: 35920264
[TBL] [Abstract][Full Text] [Related]
14. 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 Y; Zeng N; Zhang FB; Rui Huang YX; Tian Y
Clin Genitourin Cancer; 2020 Oct; 18(5):367-377. PubMed ID: 32771334
[TBL] [Abstract][Full Text] [Related]
15. Prostate Cancer Differentiation and Aggressiveness: Assessment With a Radiomic-Based Model vs. PI-RADS v2.
Chen T; Li M; Gu Y; Zhang Y; Yang S; Wei C; Wu J; Li X; Zhao W; Shen J
J Magn Reson Imaging; 2019 Mar; 49(3):875-884. PubMed ID: 30230108
[TBL] [Abstract][Full Text] [Related]
16. Avoiding Unnecessary Systematic Biopsy in Clinically Significant Prostate Cancer: Comparison Between MRI-Based Radiomics Model and PI-RADS Category.
Cheng X; Chen Y; Xu H; Ye L; Tong S; Li H; Zhang T; Tian S; Qi J; Zeng H; Yao J; Song B
J Magn Reson Imaging; 2023 Feb; 57(2):578-586. PubMed ID: 35852438
[TBL] [Abstract][Full Text] [Related]
17. Diagnostic Accuracy and Interobserver Agreement of PI-RADS Version 2 and Version 2.1 for the Detection of Transition Zone Prostate Cancers.
Wei CG; Zhang YY; Pan P; Chen T; Yu HC; Dai GC; Tu J; Yang S; Zhao WL; Shen JK
AJR Am J Roentgenol; 2021 May; 216(5):1247-1256. PubMed ID: 32755220
[No Abstract] [Full Text] [Related]
18. Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study.
Zhao L; Bao J; Qiao X; Jin P; Ji Y; Li Z; Zhang J; Su Y; Ji L; Shen J; Zhang Y; Niu L; Xie W; Hu C; Shen H; Wang X; Liu J; Tian J
Eur J Nucl Med Mol Imaging; 2023 Feb; 50(3):727-741. PubMed ID: 36409317
[TBL] [Abstract][Full Text] [Related]
19. Modified Predictive Model and Nomogram by Incorporating Prebiopsy Biparametric Magnetic Resonance Imaging With Clinical Indicators for Prostate Biopsy Decision Making.
Pan JF; Su R; Cao JZ; Zhao ZY; Ren DW; Ye SZ; Huang RD; Tao ZL; Yu CL; Jiang JH; Ma Q
Front Oncol; 2021; 11():740868. PubMed ID: 34589437
[TBL] [Abstract][Full Text] [Related]
20. Investigating the role of DCE-MRI, over T2 and DWI, in accurate PI-RADS v2 assessment of clinically significant peripheral zone prostate lesions as defined at radical prostatectomy.
Taghipour M; Ziaei A; Alessandrino F; Hassanzadeh E; Harisinghani M; Vangel M; Tempany CM; Fennessy FM
Abdom Radiol (NY); 2019 Apr; 44(4):1520-1527. PubMed ID: 30361870
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
