229 related articles for article (PubMed ID: 33638244)
1. Characterisation of prostate cancer using texture analysis for diagnostic and prognostic monitoring.
Singh D; Kumar V; Das CJ; Singh A; Mehndiratta A
NMR Biomed; 2021 Jun; 34(6):e4495. PubMed ID: 33638244
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Comparison of PI-RADS 2, ADC histogram-derived parameters, and their combination for the diagnosis of peripheral zone prostate cancer.
Lin WC; Westphalen AC; Silva GE; Chodraui Filho S; Reis RB; Muglia VF
Abdom Radiol (NY); 2016 Nov; 41(11):2209-2217. PubMed ID: 27364781
[TBL] [Abstract][Full Text] [Related]
4. Transition zone prostate cancer: Logistic regression and machine-learning models of quantitative ADC, shape and texture features are highly accurate for diagnosis.
Wu M; Krishna S; Thornhill RE; Flood TA; McInnes MDF; Schieda N
J Magn Reson Imaging; 2019 Sep; 50(3):940-950. PubMed ID: 30701625
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Evaluation of Diffusion Kurtosis Imaging Versus Standard Diffusion Imaging for Detection and Grading of Peripheral Zone Prostate Cancer.
Roethke MC; Kuder TA; Kuru TH; Fenchel M; Hadaschik BA; Laun FB; Schlemmer HP; Stieltjes B
Invest Radiol; 2015 Aug; 50(8):483-9. PubMed ID: 25867657
[TBL] [Abstract][Full Text] [Related]
7. Texture analysis based on PI-RADS 4/5-scored magnetic resonance images combined with machine learning to distinguish benign lesions from prostate cancer.
Ma L; Zhou Q; Yin H; Ang X; Li Y; Xie G; Li G
Transl Cancer Res; 2022 May; 11(5):1146-1161. PubMed ID: 35706813
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. 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]
11. Radiomics assessment of bladder cancer grade using texture features from diffusion-weighted imaging.
Zhang X; Xu X; Tian Q; Li B; Wu Y; Yang Z; Liang Z; Liu Y; Cui G; Lu H
J Magn Reson Imaging; 2017 Nov; 46(5):1281-1288. PubMed ID: 28199039
[TBL] [Abstract][Full Text] [Related]
12. Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation.
Kan Y; Zhang Q; Hao J; Wang W; Zhuang J; Gao J; Huang H; Liang J; Marra G; Calleris G; Oderda M; Zhao X; Gontero P; Guo H
Eur Radiol; 2020 Nov; 30(11):6274-6284. PubMed ID: 32524222
[TBL] [Abstract][Full Text] [Related]
13. Multiparametric MRI Apparent Diffusion Coefficient (ADC) Accuracy in Diagnosing Clinically Significant Prostate Cancer.
Pepe P; D'Urso D; Garufi A; Priolo G; Pennisi M; Russo G; Sabini MG; Valastro LM; Galia A; Fraggetta F
In Vivo; 2017; 31(3):415-418. PubMed ID: 28438871
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Can Apparent Diffusion Coefficient Values Assist PI-RADS Version 2 DWI Scoring? A Correlation Study Using the PI-RADSv2 and International Society of Urological Pathology Systems.
Gaur S; Harmon S; Rosenblum L; Greer MD; Mehralivand S; Coskun M; Merino MJ; Wood BJ; Shih JH; Pinto PA; Choyke PL; Turkbey B
AJR Am J Roentgenol; 2018 Jul; 211(1):W33-W41. PubMed ID: 29733695
[TBL] [Abstract][Full Text] [Related]
16. Luminal Water Imaging: Comparison With Diffusion-Weighted Imaging (DWI) and PI-RADS for Characterization of Prostate Cancer Aggressiveness.
Hectors SJ; Said D; Gnerre J; Tewari A; Taouli B
J Magn Reson Imaging; 2020 Jul; 52(1):271-279. PubMed ID: 31961049
[TBL] [Abstract][Full Text] [Related]
17. Comparison of the Utility of PI-RADS 2.1, ADC Values, and Combined Use of Both, for the Diagnosis of Transition Zone Prostate Cancers.
Liu X; Xiong Q; Zeng W; Yang R; Wen Y; Li X
J Comput Assist Tomogr; 2024 Mar-Apr 01; 48(2):206-211. PubMed ID: 38149651
[TBL] [Abstract][Full Text] [Related]
18. Diffusion Kurtosis Imaging Combined With DWI at 3-T MRI for Detection and Assessment of Aggressiveness of Prostate Cancer.
Wang X; Tu N; Qin T; Xing F; Wang P; Wu G
AJR Am J Roentgenol; 2018 Oct; 211(4):797-804. PubMed ID: 30085835
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Comparison of biparametric and multiparametric MRI in the diagnosis of prostate cancer.
Xu L; Zhang G; Shi B; Liu Y; Zou T; Yan W; Xiao Y; Xue H; Feng F; Lei J; Jin Z; Sun H
Cancer Imaging; 2019 Dec; 19(1):90. PubMed ID: 31864408
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
