273 related articles for article (PubMed ID: 34467426)
1. 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]
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. Pharmacokinetic modeling of dynamic contrast-enhanced (DCE)-MRI in PI-RADS category 3 peripheral zone lesions: preliminary study evaluating DCE-MRI as an imaging biomarker for detection of clinically significant prostate cancers.
Abreu-Gomez J; Lim C; Cron GO; Krishna S; Sadoughi N; Schieda N
Abdom Radiol (NY); 2021 Sep; 46(9):4370-4380. PubMed ID: 33818626
[TBL] [Abstract][Full Text] [Related]
4. Prevalence of Prostate Cancer in PI-RADS Version 2.1 Transition Zone Atypical Nodules Upgraded by Abnormal DWI: Correlation With MRI-Directed TRUS-Guided Targeted Biopsy.
Lim CS; Abreu-Gomez J; Carrion I; Schieda N
AJR Am J Roentgenol; 2021 Mar; 216(3):683-690. PubMed ID: 32755208
[No Abstract] [Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. 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]
9. MR Fingerprinting and ADC Mapping for Characterization of Lesions in the Transition Zone of the Prostate Gland.
Panda A; Obmann VC; Lo WC; Margevicius S; Jiang Y; Schluchter M; Patel IJ; Nakamoto D; Badve C; Griswold MA; Jaeger I; Ponsky LE; Gulani V
Radiology; 2019 Sep; 292(3):685-694. PubMed ID: 31335285
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. PI-RADS v2 and ADC values: is there room for improvement?
Jordan EJ; Fiske C; Zagoria R; Westphalen AC
Abdom Radiol (NY); 2018 Nov; 43(11):3109-3116. PubMed ID: 29550953
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Biparametric MRI-based radiomics classifiers for the detection of prostate cancer in patients with PSA serum levels of 4∼10 ng/mL.
Lu Y; Li B; Huang H; Leng Q; Wang Q; Zhong R; Huang Y; Li C; Yuan R; Zhang Y
Front Oncol; 2022; 12():1020317. PubMed ID: 36582803
[TBL] [Abstract][Full Text] [Related]
15. Prospective PI-RADS v2.1 Atypical Benign Prostatic Hyperplasia Nodules With Marked Restricted Diffusion: Detection of Clinically Significant Prostate Cancer on Multiparametric MRI.
Costa DN; Jia L; Subramanian N; Xi Y; Rofsky NM; Recchimuzzi DZ; de Leon AD; Arraj P; Pedrosa I
AJR Am J Roentgenol; 2021 Aug; 217(2):395-403. PubMed ID: 32876473
[No Abstract] [Full Text] [Related]
16. 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]
17. Diagnostic performance and reproducibility of T2w based and diffusion weighted imaging (DWI) based PI-RADSv2 lexicon descriptors for prostate MRI.
Benndorf M; Hahn F; Krönig M; Jilg CA; Krauss T; Langer M; Dovi-Akué P
Eur J Radiol; 2017 Aug; 93():9-15. PubMed ID: 28668436
[TBL] [Abstract][Full Text] [Related]
18. Comparison of quantitative parameters and radiomic features as inputs into machine learning models to predict the Gleason score of prostate cancer lesions.
Nai YH; Cheong DLH; Roy S; Kok T; Stephenson MC; Schaefferkoetter J; Totman JJ; Conti M; Eriksson L; Robins EG; Wang Z; Chua WY; Ang BWL; Singha AK; Thamboo TP; Chiong E; Reilhac A
Magn Reson Imaging; 2023 Jul; 100():64-72. PubMed ID: 36933775
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Contribution of Dynamic Contrast-enhanced and Diffusion MRI to PI-RADS for Detecting Clinically Significant Prostate Cancer.
Tavakoli AA; Hielscher T; Badura P; Görtz M; Kuder TA; Gnirs R; Schwab C; Hohenfellner M; Schlemmer HP; Bonekamp D
Radiology; 2023 Jan; 306(1):186-199. PubMed ID: 35972360
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
