369 related articles for article (PubMed ID: 34311416)
1. Dual-region radiomics signature: Integrating primary tumor and lymph node computed tomography features improves survival prediction in esophageal squamous cell cancer.
Lu N; Zhang WJ; Dong L; Chen JY; Zhu YL; Zhang SH; Fu JH; Yin SH; Li ZC; Xie CM
Comput Methods Programs Biomed; 2021 Sep; 208():106287. PubMed ID: 34311416
[TBL] [Abstract][Full Text] [Related]
2. Radiomics nomogram outperforms size criteria in discriminating lymph node metastasis in resectable esophageal squamous cell carcinoma.
Tan X; Ma Z; Yan L; Ye W; Liu Z; Liang C
Eur Radiol; 2019 Jan; 29(1):392-400. PubMed ID: 29922924
[TBL] [Abstract][Full Text] [Related]
3. Development and Internal Validation of a Preoperative Prediction Model for Sentinel Lymph Node Status in Breast Cancer: Combining Radiomics Signature and Clinical Factors.
Wang C; Chen X; Luo H; Liu Y; Meng R; Wang M; Liu S; Xu G; Ren J; Zhou P
Front Oncol; 2021; 11():754843. PubMed ID: 34820327
[TBL] [Abstract][Full Text] [Related]
4. Development and Validation of a Radiomics Nomogram Model for Predicting Postoperative Recurrence in Patients With Esophageal Squamous Cell Cancer Who Achieved pCR After Neoadjuvant Chemoradiotherapy Followed by Surgery.
Qiu Q; Duan J; Deng H; Han Z; Gu J; Yue NJ; Yin Y
Front Oncol; 2020; 10():1398. PubMed ID: 32850451
[No Abstract] [Full Text] [Related]
5. Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer.
Huang YQ; Liang CH; He L; Tian J; Liang CS; Chen X; Ma ZL; Liu ZY
J Clin Oncol; 2016 Jun; 34(18):2157-64. PubMed ID: 27138577
[TBL] [Abstract][Full Text] [Related]
6. Radiomics nomogram for preoperative prediction of progression-free survival using diffusion-weighted imaging in patients with muscle-invasive bladder cancer.
Zhang S; Song M; Zhao Y; Xu S; Sun Q; Zhai G; Liang D; Wu G; Li ZC
Eur J Radiol; 2020 Oct; 131():109219. PubMed ID: 32905953
[TBL] [Abstract][Full Text] [Related]
7. A radiomics nomogram for the prediction of overall survival in patients with hepatocellular carcinoma after hepatectomy.
Liu Q; Li J; Liu F; Yang W; Ding J; Chen W; Wei Y; Li B; Zheng L
Cancer Imaging; 2020 Nov; 20(1):82. PubMed ID: 33198809
[TBL] [Abstract][Full Text] [Related]
8. CT-based radiomics nomogram may predict local recurrence-free survival in esophageal cancer patients receiving definitive chemoradiation or radiotherapy: A multicenter study.
Gong J; Zhang W; Huang W; Liao Y; Yin Y; Shi M; Qin W; Zhao L
Radiother Oncol; 2022 Sep; 174():8-15. PubMed ID: 35750106
[TBL] [Abstract][Full Text] [Related]
9. Prediction of distant metastasis in esophageal cancer using a radiomics-clinical model.
Zhu C; Mu F; Wang S; Qiu Q; Wang S; Wang L
Eur J Med Res; 2022 Dec; 27(1):272. PubMed ID: 36463269
[TBL] [Abstract][Full Text] [Related]
10. Prognostic and incremental value of computed tomography-based radiomics from tumor and nodal regions in esophageal squamous cell carcinoma.
Cao B; Mi K; Dai W; Liu T; Xie T; Li Q; Lang J; Han Y; Peng L; Wang Q
Chin J Cancer Res; 2022 Apr; 34(2):71-82. PubMed ID: 35685995
[TBL] [Abstract][Full Text] [Related]
11. Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer.
Li J; Dong D; Fang M; Wang R; Tian J; Li H; Gao J
Eur Radiol; 2020 Apr; 30(4):2324-2333. PubMed ID: 31953668
[TBL] [Abstract][Full Text] [Related]
12. Radiomics Signature on Computed Tomography Imaging: Association With Lymph Node Metastasis in Patients With Gastric Cancer.
Jiang Y; Wang W; Chen C; Zhang X; Zha X; Lv W; Xie J; Huang W; Sun Z; Hu Y; Yu J; Li T; Zhou Z; Xu Y; Li G
Front Oncol; 2019; 9():340. PubMed ID: 31106158
[No Abstract] [Full Text] [Related]
13. Radiomics analysis of CT imaging improves preoperative prediction of cervical lymph node metastasis in laryngeal squamous cell carcinoma.
Zhao X; Li W; Zhang J; Tian S; Zhou Y; Xu X; Hu H; Lei D; Wu F
Eur Radiol; 2023 Feb; 33(2):1121-1131. PubMed ID: 35984515
[TBL] [Abstract][Full Text] [Related]
14. Development of a radiomics nomogram based on the 2D and 3D CT features to predict the survival of non-small cell lung cancer patients.
Yang L; Yang J; Zhou X; Huang L; Zhao W; Wang T; Zhuang J; Tian J
Eur Radiol; 2019 May; 29(5):2196-2206. PubMed ID: 30523451
[TBL] [Abstract][Full Text] [Related]
15. Evaluation of CT-based radiomics signature and nomogram as prognostic markers in patients with laryngeal squamous cell carcinoma.
Chen L; Wang H; Zeng H; Zhang Y; Ma X
Cancer Imaging; 2020 Apr; 20(1):28. PubMed ID: 32321585
[TBL] [Abstract][Full Text] [Related]
16. Development and validation of a prognostic nomogram for malignant esophageal fistula based on radiomics and clinical factors.
Zhu C; Ding J; Wang S; Qiu Q; Ji Y; Wang L
Thorac Cancer; 2021 Dec; 12(23):3110-3120. PubMed ID: 34647417
[TBL] [Abstract][Full Text] [Related]
17. Radiomics from dual-energy CT-derived iodine maps predict lymph node metastasis in head and neck squamous cell carcinoma.
Zhang W; Liu J; Jin W; Li R; Xie X; Zhao W; Xia S; Han D
Radiol Med; 2024 Feb; 129(2):252-267. PubMed ID: 38015363
[TBL] [Abstract][Full Text] [Related]
18. A radiomics nomogram based on contrast-enhanced CT for preoperative prediction of Lymphovascular invasion in esophageal squamous cell carcinoma.
Wang Y; Bai G; Huang W; Zhang H; Chen W
Front Oncol; 2023; 13():1208756. PubMed ID: 37465108
[TBL] [Abstract][Full Text] [Related]
19. Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT?
Wang X; Zhao X; Li Q; Xia W; Peng Z; Zhang R; Li Q; Jian J; Wang W; Tang Y; Liu S; Gao X
Eur Radiol; 2019 Nov; 29(11):6049-6058. PubMed ID: 30887209
[TBL] [Abstract][Full Text] [Related]
20. A Prognostic Model of Non-Small Cell Lung Cancer With a Radiomics Nomogram in an Eastern Chinese Population.
Wang L; Liu A; Wang Z; Xu N; Zhou D; Qu T; Liu G; Wang J; Yang F; Guo X; Chi W; Xue F
Front Oncol; 2022; 12():816766. PubMed ID: 35774128
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
