480 related articles for article (PubMed ID: 33682286)
1. 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]
2. Preoperative prediction of pelvic lymph nodes metastasis in prostate cancer using an ADC-based radiomics model: comparison with clinical nomograms and PI-RADS assessment.
Liu X; Wang X; Zhang Y; Sun Z; Zhang X; Wang X
Abdom Radiol (NY); 2022 Sep; 47(9):3327-3337. PubMed ID: 35763053
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. Investigation of radiomics models for predicting biochemical recurrence of advanced prostate cancer on pretreatment MR ADC maps based on automatic image segmentation.
Wang H; Wang K; Ma S; Gao G; Wang X
J Appl Clin Med Phys; 2024 Apr; 25(4):e14244. PubMed ID: 38146796
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. ADC Metrics From Multiparametric MRI: Histologic Downgrading of Gleason Score 9 or 10 Prostate Cancers Diagnosed at Nontargeted Transrectal Ultrasound-Guided Biopsy.
Sadoughi N; Krishna S; McInnes MDF; Flood TA; Breau RH; Morash C; Schieda N
AJR Am J Roentgenol; 2018 Sep; 211(3):W158-W165. PubMed ID: 29995495
[TBL] [Abstract][Full Text] [Related]
9. Intraductal carcinoma of the prostate (IDC-P) lowers apparent diffusion coefficient (ADC) values among intermediate risk prostate cancers.
Currin S; Flood TA; Krishna S; Ansari A; McInnes MDF; Schieda N
J Magn Reson Imaging; 2019 Jul; 50(1):279-287. PubMed ID: 30585372
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
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. Multiparametric Magnetic Resonance Imaging-Based Peritumoral Radiomics for Preoperative Prediction of the Presence of Extracapsular Extension With Prostate Cancer.
Bai H; Xia W; Ji X; He D; Zhao X; Bao J; Zhou J; Wei X; Huang Y; Li Q; Gao X
J Magn Reson Imaging; 2021 Oct; 54(4):1222-1230. PubMed ID: 33970517
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Noninvasive Prediction of High-Grade Prostate Cancer via Biparametric MRI Radiomics.
Gong L; Xu M; Fang M; Zou J; Yang S; Yu X; Xu D; Zhou L; Li H; He B; Wang Y; Fang X; Dong D; Tian J
J Magn Reson Imaging; 2020 Oct; 52(4):1102-1109. PubMed ID: 32212356
[TBL] [Abstract][Full Text] [Related]
16. Evaluation of a multiparametric MRI radiomic-based approach for stratification of equivocal PI-RADS 3 and upgraded PI-RADS 4 prostatic lesions.
Brancato V; Aiello M; Basso L; Monti S; Palumbo L; Di Costanzo G; Salvatore M; Ragozzino A; Cavaliere C
Sci Rep; 2021 Jan; 11(1):643. PubMed ID: 33436929
[TBL] [Abstract][Full Text] [Related]
17. Predicting the Grade of Prostate Cancer Based on a Biparametric MRI Radiomics Signature.
Zhang L; Zhe X; Tang M; Zhang J; Ren J; Zhang X; Li L
Contrast Media Mol Imaging; 2021; 2021():7830909. PubMed ID: 35024015
[TBL] [Abstract][Full Text] [Related]
18. Evaluation of Weighted Diffusion Subtraction for Detection of Clinically Significant Prostate Cancer.
Sato T; Isoda H; Fujimoto K; Furuta A; Fujimoto M; Ito K; Kobayashi T; Nakamoto Y
J Magn Reson Imaging; 2021 Dec; 54(6):1979-1988. PubMed ID: 34085328
[TBL] [Abstract][Full Text] [Related]
19. Clinically insignificant prostate cancer suitable for active surveillance according to Prostate Cancer Research International: Active surveillance criteria: Utility of PI-RADS v2.
Yim JH; Kim CK; Kim JH
J Magn Reson Imaging; 2018 Apr; 47(4):1072-1079. PubMed ID: 28901655
[TBL] [Abstract][Full Text] [Related]
20. Effect of observation size and apparent diffusion coefficient (ADC) value in PI-RADS v2.1 assessment category 4 and 5 observations compared to adverse pathological outcomes.
Abreu-Gomez J; Walker D; Alotaibi T; McInnes MDF; Flood TA; Schieda N
Eur Radiol; 2020 Aug; 30(8):4251-4261. PubMed ID: 32211965
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
