344 related articles for article (PubMed ID: 37470865)
1. Multiparametric MRI radiomics in prostate cancer for predicting Ki-67 expression and Gleason score: a multicenter retrospective study.
Zhou C; Zhang YF; Guo S; Wang D; Lv HX; Qiao XN; Wang R; Chang DH; Zhao LM; Zhou FH
Discov Oncol; 2023 Jul; 14(1):133. PubMed ID: 37470865
[TBL] [Abstract][Full Text] [Related]
2. [Preoperative prediction of HER-2 expression status in breast cancer based on MRI radiomics model].
Zhang Y; Huang H; Yin L; Wang ZX; Lu SY; Wang XX; Xiang LL; Zhang Q; Zhang JL; Shan XH
Zhonghua Zhong Liu Za Zhi; 2024 May; 46(5):428-437. PubMed ID: 38742356
[No Abstract] [Full Text] [Related]
3. Magnetic resonance imaging-based radiomics signature for preoperative prediction of Ki67 expression in bladder cancer.
Zheng Z; Gu Z; Xu F; Maskey N; He Y; Yan Y; Xu T; Liu S; Yao X
Cancer Imaging; 2021 Dec; 21(1):65. PubMed ID: 34863282
[TBL] [Abstract][Full Text] [Related]
4. Radiomics Based on T2-Weighted Imaging and Apparent Diffusion Coefficient Images for Preoperative Evaluation of Lymph Node Metastasis in Rectal Cancer Patients.
Li C; Yin J
Front Oncol; 2021; 11():671354. PubMed ID: 34041033
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Radiomic Machine Learning and External Validation Based on 3.0 T mpMRI for Prediction of Intraductal Carcinoma of Prostate With Different Proportion.
Yang L; Li Z; Liang X; Xu J; Cai Y; Huang C; Zhang M; Yao J; Song B
Front Oncol; 2022; 12():934291. PubMed ID: 35837116
[TBL] [Abstract][Full Text] [Related]
8. Prediction of prostate cancer aggressiveness using magnetic resonance imaging radiomics: a dual-center study.
Pan N; Shi L; He D; Zhao J; Xiong L; Ma L; Li J; Ai K; Zhao L; Huang G
Discov Oncol; 2024 Apr; 15(1):122. PubMed ID: 38625419
[TBL] [Abstract][Full Text] [Related]
9. Advanced zoomed diffusion-weighted imaging vs. full-field-of-view diffusion-weighted imaging in prostate cancer detection: a radiomic features study.
Hu L; Zhou DW; Fu CX; Benkert T; Jiang CY; Li RT; Wei LM; Zhao JG
Eur Radiol; 2021 Mar; 31(3):1760-1769. PubMed ID: 32935192
[TBL] [Abstract][Full Text] [Related]
10. Radiomic analysis of Gd-EOB-DTPA-enhanced MRI predicts Ki-67 expression in hepatocellular carcinoma.
Fan Y; Yu Y; Wang X; Hu M; Hu C
BMC Med Imaging; 2021 Jun; 21(1):100. PubMed ID: 34130644
[TBL] [Abstract][Full Text] [Related]
11. Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.
Wang X; Wan Q; Chen H; Li Y; Li X
Eur Radiol; 2020 Aug; 30(8):4595-4605. PubMed ID: 32222795
[TBL] [Abstract][Full Text] [Related]
12. A Radiomics nomogram for predicting bone metastasis in newly diagnosed prostate cancer patients.
Zhang W; Mao N; Wang Y; Xie H; Duan S; Zhang X; Wang B
Eur J Radiol; 2020 Jul; 128():109020. PubMed ID: 32371181
[TBL] [Abstract][Full Text] [Related]
13. Automated Prediction of Early Recurrence in Advanced Sinonasal Squamous Cell Carcinoma With Deep Learning and Multi-parametric MRI-based Radiomics Nomogram.
Lin M; Lin N; Yu S; Sha Y; Zeng Y; Liu A; Niu Y
Acad Radiol; 2023 Oct; 30(10):2201-2211. PubMed ID: 36925335
[TBL] [Abstract][Full Text] [Related]
14. Prediction of the Ki-67 expression level in head and neck squamous cell carcinoma with machine learning-based multiparametric MRI radiomics: a multicenter study.
Chen W; Lin G; Chen Y; Cheng F; Li X; Ding J; Zhong Y; Kong C; Chen M; Xia S; Lu C; Ji J
BMC Cancer; 2024 Apr; 24(1):418. PubMed ID: 38580939
[TBL] [Abstract][Full Text] [Related]
15. Development and validation of a multiparametric MRI-based radiomics signature for distinguishing between indolent and aggressive prostate cancer.
Zhang L; Jiang D; Chen C; Yang X; Lei H; Kang Z; Huang H; Pang J
Br J Radiol; 2022 Mar; 95(1131):20210191. PubMed ID: 34289319
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. [Application of MRI-based Radiomics Models in the Assessment of Hepatic Metastasis of Rectal Cancer].
Hu SX; Yang K; Wang XR; Wen DG; Xia CC; Li X; Li ZL
Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Mar; 52(2):311-318. PubMed ID: 33829708
[TBL] [Abstract][Full Text] [Related]
18. Bi-parametric magnetic resonance imaging based radiomics for the identification of benign and malignant prostate lesions: cross-vendor validation.
Ji X; Zhang J; Shi W; He D; Bao J; Wei X; Huang Y; Liu Y; Chen JC; Gao X; Tang Y; Xia W
Phys Eng Sci Med; 2021 Sep; 44(3):745-754. PubMed ID: 34075559
[TBL] [Abstract][Full Text] [Related]
19. MRI-based radiomics to predict neoadjuvant chemoradiotherapy outcomes in locally advanced rectal cancer: A multicenter study.
Xiang Y; Li S; Wang H; Song M; Hu K; Wang F; Wang Z; Niu Z; Liu J; Cai Y; Li Y; Zhu X; Geng J; Zhang Y; Teng H; Wang W
Clin Transl Radiat Oncol; 2023 Jan; 38():175-182. PubMed ID: 36471751
[TBL] [Abstract][Full Text] [Related]
20. Prediction of Clinical Outcome for High-Intensity Focused Ultrasound Ablation of Uterine Leiomyomas Using Multiparametric MRI Radiomics-Based Machine Leaning Model.
Zheng Y; Chen L; Liu M; Wu J; Yu R; Lv F
Front Oncol; 2021; 11():618604. PubMed ID: 34567999
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
