147 related articles for article (PubMed ID: 38476369)
1. Deep learning-based radiomics model from pretreatment ADC to predict biochemical recurrence in advanced prostate cancer.
Wang H; Wang K; Zhang Y; Chen Y; Zhang X; Wang X
Front Oncol; 2024; 14():1342104. PubMed ID: 38476369
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study.
Cui Y; Zhang J; Li Z; Wei K; Lei Y; Ren J; Wu L; Shi Z; Meng X; Yang X; Gao X
EClinicalMedicine; 2022 Apr; 46():101348. PubMed ID: 35340629
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Habitat Radiomics Based on MRI for Predicting Platinum Resistance in Patients with High-Grade Serous Ovarian Carcinoma: A Multicenter Study.
Bi Q; Miao K; Xu N; Hu F; Yang J; Shi W; Lei Y; Wu Y; Song Y; Ai C; Li H; Qiang J
Acad Radiol; 2023 Dec; ():. PubMed ID: 38129227
[TBL] [Abstract][Full Text] [Related]
6. Prenatal Diagnosis of Placenta Accreta Spectrum Disorders: Deep Learning Radiomics of Pelvic MRI.
Peng L; Yang Z; Liu J; Liu Y; Huang J; Chen J; Su Y; Zhang X; Song T
J Magn Reson Imaging; 2024 Feb; 59(2):496-509. PubMed ID: 37222638
[TBL] [Abstract][Full Text] [Related]
7. Radiomics nomogram in aiding preoperatively dilatation and curettage in differentiating type II and type I endometrial cancer.
Liu XF; Yan BC; Li Y; Ma FH; Qiang JW
Clin Radiol; 2023 Feb; 78(2):e29-e36. PubMed ID: 36192204
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. A Deep Learning Model to Predict the Response to Neoadjuvant Chemoradiotherapy by the Pretreatment Apparent Diffusion Coefficient Images of Locally Advanced Rectal Cancer.
Zhu HT; Zhang XY; Shi YJ; Li XT; Sun YS
Front Oncol; 2020; 10():574337. PubMed ID: 33194680
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Radiomics nomogram based on digital breast tomosynthesis: preoperative evaluation of axillary lymph node metastasis in breast carcinoma.
Xu M; Yang H; Yang Q; Teng P; Hao H; Liu C; Yu S; Liu G
J Cancer Res Clin Oncol; 2023 Sep; 149(11):9317-9328. PubMed ID: 37208454
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. MRI-Based Radiomics Nomogram for Predicting Prostate Cancer with Gray-Zone Prostate-Specific Antigen Levels to Reduce Unnecessary Biopsies.
Zhang L; Zhang J; Tang M; Lei XY; Li LC
Diagnostics (Basel); 2022 Dec; 12(12):. PubMed ID: 36553012
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. MRI-Derived Radiomics Model to Predict the Biochemical Recurrence of Prostate Cancer Following Seed Brachytherapy.
Zhu X; Liu Z; He J; Li Z; Huang Y; Lu J
Arch Esp Urol; 2023 Jun; 76(4):264-269. PubMed ID: 37455525
[TBL] [Abstract][Full Text] [Related]
17. Diagnostic value of whole-tumor apparent diffusion coefficient map radiomics analysis in predicting early recurrence of solitary hepatocellular carcinoma ≤ 5 cm.
Wang L; Feng B; Wang S; Hu J; Liang M; Li D; Wang S; Ma X; Zhao X
Abdom Radiol (NY); 2022 Sep; 47(9):3290-3300. PubMed ID: 35776146
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. A Nomogram Based on a Multiparametric Ultrasound Radiomics Model for Discrimination Between Malignant and Benign Prostate Lesions.
Liang L; Zhi X; Sun Y; Li H; Wang J; Xu J; Guo J
Front Oncol; 2021; 11():610785. PubMed ID: 33738255
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
