821 related articles for article (PubMed ID: 30958743)
1. Radiomics Features Measured with Multiparametric Magnetic Resonance Imaging Predict Prostate Cancer Aggressiveness.
Hectors SJ; Cherny M; Yadav KK; Beksaç AT; Thulasidass H; Lewis S; Davicioni E; Wang P; Tewari AK; Taouli B
J Urol; 2019 Sep; 202(3):498-505. PubMed ID: 30958743
[TBL] [Abstract][Full Text] [Related]
2. Multiparametric Magnetic Resonance Imaging Features Identify Aggressive Prostate Cancer at the Phenotypic and Transcriptomic Level.
Beksac AT; Cumarasamy S; Falagario U; Xu P; Takhar M; Alshalalfa M; Gupta A; Prasad S; Martini A; Thulasidass H; Rai R; Berger M; Hectors S; Jordan J; Davicioni E; Nair S; Haines K; Lewis S; Rastinehad A; Yadav K; Jayaratna I; Taouli B; Tewari A
J Urol; 2018 Dec; 200(6):1241-1249. PubMed ID: 30563651
[TBL] [Abstract][Full Text] [Related]
3. PI-RADS Version 2 Category on 3 Tesla Multiparametric Prostate Magnetic Resonance Imaging Predicts Oncologic Outcomes in Gleason 3 + 4 Prostate Cancer on Biopsy.
Faiena I; Salmasi A; Mendhiratta N; Markovic D; Ahuja P; Hsu W; Elashoff DA; Raman SS; Reiter RE
J Urol; 2019 Jan; 201(1):91-97. PubMed ID: 30577397
[TBL] [Abstract][Full Text] [Related]
4. The practical clinical role of machine learning models with different algorithms in predicting prostate cancer local recurrence after radical prostatectomy.
Hu C; Qiao X; Hu C; Cao C; Wang X; Bao J
Cancer Imaging; 2024 Feb; 24(1):23. PubMed ID: 38326860
[TBL] [Abstract][Full Text] [Related]
5. A 17-Gene Genomic Prostate Score Assay Provides Independent Information on Adverse Pathology in the Setting of Combined Multiparametric Magnetic Resonance Imaging Fusion Targeted and Systematic Prostate Biopsy.
Salmasi A; Said J; Shindel AW; Khoshnoodi P; Felker ER; Sisk AE; Grogan T; McCullough D; Bennett J; Bailey H; Lawrence HJ; Elashoff DA; Marks LS; Raman SS; Febbo PG; Reiter RE
J Urol; 2018 Sep; 200(3):564-572. PubMed ID: 29524506
[TBL] [Abstract][Full Text] [Related]
6. PI-RADS Version 2 Category on 3 Tesla Multiparametric Prostate Magnetic Resonance Imaging Predicts Oncologic Outcomes in Gleason 3 + 4 Prostate Cancer on Biopsy.
Faiena I; Salmasi A; Mendhiratta N; Markovic D; Ahuja P; Hsu W; Elashoff DA; Raman SS; Reiter RE
J Urol; 2019 Jan; 201(1):91-97. PubMed ID: 30142318
[TBL] [Abstract][Full Text] [Related]
7. Radiomics Models Based on Apparent Diffusion Coefficient Maps for the Prediction of High-Grade Prostate Cancer at Radical Prostatectomy: Comparison With Preoperative Biopsy.
Han C; Ma S; Liu X; Liu Y; Li C; Zhang Y; Zhang X; Wang X
J Magn Reson Imaging; 2021 Dec; 54(6):1892-1901. PubMed ID: 33682286
[TBL] [Abstract][Full Text] [Related]
8. Transcriptome Wide Analysis of Magnetic Resonance Imaging-targeted Biopsy and Matching Surgical Specimens from High-risk Prostate Cancer Patients Treated with Radical Prostatectomy: The Target Must Be Hit.
Radtke JP; Takhar M; Bonekamp D; Kesch C; Erho N; du Plessis M; Buerki C; Ong K; Davicioni E; Hohenfellner M; Hadaschik BA
Eur Urol Focus; 2018 Jul; 4(4):540-546. PubMed ID: 28753844
[TBL] [Abstract][Full Text] [Related]
9. Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer.
Abdollahi H; Mofid B; Shiri I; Razzaghdoust A; Saadipoor A; Mahdavi A; Galandooz HM; Mahdavi SR
Radiol Med; 2019 Jun; 124(6):555-567. PubMed ID: 30607868
[TBL] [Abstract][Full Text] [Related]
10. Multiparametric Magnetic Resonance Imaging Predicts Postoperative Pathology but Misses Aggressive Prostate Cancers as Assessed by Cell Cycle Progression Score.
Renard-Penna R; Cancel-Tassin G; Comperat E; Varinot J; Léon P; Roupret M; Mozer P; Vaessen C; Lucidarme O; Bitker MO; Cussenot O
J Urol; 2015 Dec; 194(6):1617-23. PubMed ID: 26272031
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. MRI-Based Radiomics Signature for the Preoperative Prediction of Extracapsular Extension of Prostate Cancer.
Ma S; Xie H; Wang H; Han C; Yang J; Lin Z; Li Y; He Q; Wang R; Cui Y; Zhang X; Wang X
J Magn Reson Imaging; 2019 Dec; 50(6):1914-1925. PubMed ID: 31062459
[TBL] [Abstract][Full Text] [Related]
13. Defining Prostate Cancer at Favorable Intermediate Risk: The Potential Utility of Magnetic Resonance Imaging and Genomic Tests.
Falagario UG; Beksac AT; Martini A; Cumarasamy S; Gupta A; Prasad S; Thulasidass H; Shah QN; Jayaratna I; Lewis S; Rastinehad AR; Taouli B; Cormio L; Carrieri G; Tewari AK
J Urol; 2019 Jul; 202(1):102-107. PubMed ID: 30730408
[TBL] [Abstract][Full Text] [Related]
14. Radiomics Based on MRI as a Biomarker to Guide Therapy by Predicting Upgrading of Prostate Cancer From Biopsy to Radical Prostatectomy.
Zhang GM; Han YQ; Wei JW; Qi YF; Gu DS; Lei J; Yan WG; Xiao Y; Xue HD; Feng F; Sun H; Jin ZY; Tian J
J Magn Reson Imaging; 2020 Oct; 52(4):1239-1248. PubMed ID: 32181985
[TBL] [Abstract][Full Text] [Related]
15. MRI-based texture analysis of the primary tumor for pre-treatment prediction of bone metastases in prostate cancer.
Wang Y; Yu B; Zhong F; Guo Q; Li K; Hou Y; Lin N
Magn Reson Imaging; 2019 Jul; 60():76-84. PubMed ID: 30917943
[TBL] [Abstract][Full Text] [Related]
16. Automatic stratification of prostate tumour aggressiveness using multiparametric MRI: a horizontal comparison of texture features.
Sun Y; Reynolds HM; Wraith D; Williams S; Finnegan ME; Mitchell C; Murphy D; Haworth A
Acta Oncol; 2019 Aug; 58(8):1118-1126. PubMed ID: 30994052
[No Abstract] [Full Text] [Related]
17. Multiparametric MRI and auto-fixed volume of interest-based radiomics signature for clinically significant peripheral zone prostate cancer.
Bleker J; Kwee TC; Dierckx RAJO; de Jong IJ; Huisman H; Yakar D
Eur Radiol; 2020 Mar; 30(3):1313-1324. PubMed ID: 31776744
[TBL] [Abstract][Full Text] [Related]
18. Prostate Cancer Genomic Classifier Relates More Strongly to Gleason Grade Group Than Prostate Imaging Reporting and Data System Score in Multiparametric Prostate Magnetic Resonance Imaging-ultrasound Fusion Targeted Biopsies.
Martin DT; Ghabili K; Levi A; Humphrey PA; Sprenkle PC
Urology; 2019 Mar; 125():64-72. PubMed ID: 30552940
[TBL] [Abstract][Full Text] [Related]
19. Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features.
Bernatz S; Ackermann J; Mandel P; Kaltenbach B; Zhdanovich Y; Harter PN; Döring C; Hammerstingl R; Bodelle B; Smith K; Bucher A; Albrecht M; Rosbach N; Basten L; Yel I; Wenzel M; Bankov K; Koch I; Chun FK; Köllermann J; Wild PJ; Vogl TJ
Eur Radiol; 2020 Dec; 30(12):6757-6769. PubMed ID: 32676784
[TBL] [Abstract][Full Text] [Related]
20. Preoperative prediction of neurovascular bundle involvement of localized prostate cancer by combined T2 and diffusion-weighted imaging of magnetic resonance imaging, number of positive biopsy cores, and Gleason score.
Naiki T; Okamura T; Nagata D; Mori Y; Kawai N; Ogawa K; Akita H; Hashimoto Y; Tozawa K; Kohri K
Asian Pac J Cancer Prev; 2011; 12(4):909-13. PubMed ID: 21790224
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
