177 related articles for article (PubMed ID: 34970482)
1. MRI Radiomic Features: A Potential Biomarker for Progression-Free Survival Prediction of Patients With Locally Advanced Cervical Cancer Undergoing Surgery.
Cai M; Yao F; Ding J; Zheng R; Huang X; Yang Y; Lin F; Hu Z
Front Oncol; 2021; 11():749114. PubMed ID: 34970482
[TBL] [Abstract][Full Text] [Related]
2. Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer.
Fang J; Zhang B; Wang S; Jin Y; Wang F; Ding Y; Chen Q; Chen L; Li Y; Li M; Chen Z; Liu L; Liu Z; Tian J; Zhang S
Theranostics; 2020; 10(5):2284-2292. PubMed ID: 32089742
[TBL] [Abstract][Full Text] [Related]
3. MRI-Based Radiomic Signature as a Prognostic Biomarker for HER2-Positive Invasive Breast Cancer Treated with NAC.
Li Q; Xiao Q; Li J; Duan S; Wang H; Gu Y
Cancer Manag Res; 2020; 12():10603-10613. PubMed ID: 33149669
[TBL] [Abstract][Full Text] [Related]
4. A Radiomics Signature-Based Nomogram to Predict the Progression-Free Survival of Patients With Hepatocellular Carcinoma After Transcatheter Arterial Chemoembolization Plus Radiofrequency Ablation.
Fang S; Lai L; Zhu J; Zheng L; Xu Y; Chen W; Wu F; Wu X; Chen M; Weng Q; Ji J; Zhao Z; Tu J
Front Mol Biosci; 2021; 8():662366. PubMed ID: 34532340
[No Abstract] [Full Text] [Related]
5. Radiomics nomogram for predicting disease-free survival after partial resection or radical cystectomy in patients with bladder cancer.
Cai Q; Huang Y; Ling J; Kong L; Lin Y; Chen Y; Cao W; Liao Y; Guo Y; Guan J; Wang H
Br J Radiol; 2024 Jan; 97(1153):201-209. PubMed ID: 38263836
[TBL] [Abstract][Full Text] [Related]
6. Novel Non-Invasive Radiomic Signature on CT Scans Predicts Response to Platinum-Based Chemotherapy and Is Prognostic of Overall Survival in Small Cell Lung Cancer.
Jain P; Khorrami M; Gupta A; Rajiah P; Bera K; Viswanathan VS; Fu P; Dowlati A; Madabhushi A
Front Oncol; 2021; 11():744724. PubMed ID: 34745966
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Construction and Validation of a MRI‑Based Radiomic Nomogram to Predict Overall Survival in Patients with Local Advanced Cervical Cancer: A Multicenter Study.
Lin Y; Gao Y; Weng T
Acad Radiol; 2024 May; ():. PubMed ID: 38772800
[TBL] [Abstract][Full Text] [Related]
9. Radiomic signatures based on pretreatment 18F-FDG PET/CT, combined with clinicopathological characteristics, as early prognostic biomarkers among patients with invasive breast cancer.
Jia T; Lv Q; Cai X; Ge S; Sang S; Zhang B; Yu C; Deng S
Front Oncol; 2023; 13():1210125. PubMed ID: 37576897
[TBL] [Abstract][Full Text] [Related]
10. Multiparametric magnetic resonance imaging-derived radiomics for the prediction of disease-free survival in early-stage squamous cervical cancer.
Zhou Y; Gu HL; Zhang XL; Tian ZF; Xu XQ; Tang WW
Eur Radiol; 2022 Apr; 32(4):2540-2551. PubMed ID: 34642807
[TBL] [Abstract][Full Text] [Related]
11. Prognostic value of the radiomics-based model in progression-free survival of hypopharyngeal cancer treated with chemoradiation.
Mo X; Wu X; Dong D; Guo B; Liang C; Luo X; Zhang B; Zhang L; Dong Y; Lian Z; Liu J; Pei S; Huang W; Ouyang F; Tian J; Zhang S
Eur Radiol; 2020 Feb; 30(2):833-843. PubMed ID: 31673835
[TBL] [Abstract][Full Text] [Related]
12. Preoperative Assessment for Event-Free Survival With Hepatoblastoma in Pediatric Patients by Developing a CT-Based Radiomics Model.
Jiang Y; Sun J; Xia Y; Cheng Y; Xie L; Guo X; Guo Y
Front Oncol; 2021; 11():644994. PubMed ID: 33937051
[No Abstract] [Full Text] [Related]
13. An MRI-based radiomics signature and clinical characteristics for survival prediction in early-stage cervical cancer.
Zheng RR; Cai MT; Lan L; Huang XW; Yang YJ; Powell M; Lin F
Br J Radiol; 2022 Jan; 95(1129):20210838. PubMed ID: 34797703
[TBL] [Abstract][Full Text] [Related]
14. A nomogram based on pretreatment CT radiomics features for predicting complete response to chemoradiotherapy in patients with esophageal squamous cell cancer.
Luo HS; Huang SF; Xu HY; Li XY; Wu SX; Wu DH
Radiat Oncol; 2020 Oct; 15(1):249. PubMed ID: 33121507
[TBL] [Abstract][Full Text] [Related]
15. Value of contrast-enhanced magnetic resonance imaging-T2WI-based radiomic features in distinguishing lung adenocarcinoma from lung squamous cell carcinoma with solid components >8 mm.
Yang M; Shi L; Huang T; Li G; Shao H; Shen Y; Zhu J; Ni B
J Thorac Dis; 2023 Feb; 15(2):635-648. PubMed ID: 36910079
[TBL] [Abstract][Full Text] [Related]
16. CT radiomics nomogram predicts pathological response after induced chemotherapy and overall survival in patients with advanced laryngeal cancer: A single-center retrospective study.
Kang C; Sun P; Yang R; Zhang C; Ning W; Liu H
Front Oncol; 2023; 13():1094768. PubMed ID: 37064100
[TBL] [Abstract][Full Text] [Related]
17. Pancreatic ductal adenocarcinoma: a radiomics nomogram outperforms clinical model and TNM staging for survival estimation after curative resection.
Xie T; Wang X; Li M; Tong T; Yu X; Zhou Z
Eur Radiol; 2020 May; 30(5):2513-2524. PubMed ID: 32006171
[TBL] [Abstract][Full Text] [Related]
18. Feasibility of UTE-MRI-based radiomics model for prediction of histopathologic subtype of lung adenocarcinoma: in comparison with CT-based radiomics model.
Lee S; Lee CY; Kim NY; Suh YJ; Lee HJ; Yong HS; Kim HR; Kim YJ
Eur Radiol; 2024 May; 34(5):3422-3430. PubMed ID: 37840100
[TBL] [Abstract][Full Text] [Related]
19. Radiomics Analysis of PET and CT Components of
Wang X; Lu Z
Front Oncol; 2021; 11():638124. PubMed ID: 33928029
[TBL] [Abstract][Full Text] [Related]
20. Prognostic and predictive value of radiomics features at MRI in nasopharyngeal carcinoma.
Bao D; Zhao Y; Liu Z; Zhong H; Geng Y; Lin M; Li L; Zhao X; Luo D
Discov Oncol; 2021; 12(1):63. PubMed ID: 34993528
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
