273 related articles for article (PubMed ID: 35774128)
1. 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]
2. 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]
3. Radiomics nomogram for prediction disease-free survival and adjuvant chemotherapy benefits in patients with resected stage I lung adenocarcinoma.
Xie D; Wang TT; Huang SJ; Deng JJ; Ren YJ; Yang Y; Wu JQ; Zhang L; Fei K; Sun XW; She YL; Chen C
Transl Lung Cancer Res; 2020 Aug; 9(4):1112-1123. PubMed ID: 32953490
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Radiomics Nomogram for Predicting Locoregional Failure in Locally Advanced Non-small Cell Lung Cancer Treated with Definitive Chemoradiotherapy.
Chen X; Tong X; Qiu Q; Sun F; Yin Y; Gong G; Xing L; Sun X
Acad Radiol; 2022 Feb; 29 Suppl 2():S53-S61. PubMed ID: 33308945
[TBL] [Abstract][Full Text] [Related]
6. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. A Nomogram Based on CT Deep Learning Signature: A Potential Tool for the Prediction of Overall Survival in Resected Non-Small Cell Lung Cancer Patients.
Lin T; Mai J; Yan M; Li Z; Quan X; Chen X
Cancer Manag Res; 2021; 13():2897-2906. PubMed ID: 33833572
[TBL] [Abstract][Full Text] [Related]
9. Development and validation of a CT-based nomogram for preoperative prediction of clear cell renal cell carcinoma grades.
Zheng Z; Chen Z; Xie Y; Zhong Q; Xie W
Eur Radiol; 2021 Aug; 31(8):6078-6086. PubMed ID: 33515086
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Prediction and verification of survival in patients with non-small-cell lung cancer based on an integrated radiomics nomogram.
Li R; Peng H; Xue T; Li J; Ge Y; Wang G; Feng F
Clin Radiol; 2022 Mar; 77(3):e222-e230. PubMed ID: 34974912
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. A Metabolism-Related Radiomics Signature for Predicting the Prognosis of Colorectal Cancer.
Cai D; Duan X; Wang W; Huang ZP; Zhu Q; Zhong ME; Lv MY; Li CH; Kou WB; Wu XJ; Gao F
Front Mol Biosci; 2020; 7():613918. PubMed ID: 33490106
[No Abstract] [Full Text] [Related]
15. CT-based radiomics for predicting brain metastases as the first failure in patients with curatively resected locally advanced non-small cell lung cancer.
Sun F; Chen Y; Chen X; Sun X; Xing L
Eur J Radiol; 2021 Jan; 134():109411. PubMed ID: 33246270
[TBL] [Abstract][Full Text] [Related]
16. Radiomics model based on contrast-enhanced CT texture features for pretreatment prediction of overall survival in esophageal neuroendocrine carcinoma.
Zhou Y; Song L; Xia J; Liu H; Xing J; Gao J
Front Oncol; 2023; 13():1225180. PubMed ID: 37664013
[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. Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non-Small Cell Lung Cancer.
Huang Y; Liu Z; He L; Chen X; Pan D; Ma Z; Liang C; Tian J; Liang C
Radiology; 2016 Dec; 281(3):947-957. PubMed ID: 27347764
[TBL] [Abstract][Full Text] [Related]
19. A CT-Based Radiomics Nomogram to Predict Complete Ablation of Pulmonary Malignancy: A Multicenter Study.
Zhang G; Yang H; Zhu X; Luo J; Zheng J; Xu Y; Zheng Y; Wei Y; Mei Z; Shao G
Front Oncol; 2022; 12():841678. PubMed ID: 35223526
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
