171 related articles for article (PubMed ID: 35685995)
1. 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]
2. 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]
3. CT radiomics in the identification of preoperative understaging in patients with clinical stage T1-2N0 esophageal squamous cell carcinoma.
Zhao B; Yan S; Jia ZY; Zhu HT; Shi YJ; Li XT; Qu JR; Sun YS
Quant Imaging Med Surg; 2023 Dec; 13(12):7996-8008. PubMed ID: 38106287
[TBL] [Abstract][Full Text] [Related]
4. Increased prognostic value of clinical-reproductive model in Chinese female patients with esophageal squamous cell carcinoma.
Zhang DY; Ku JW; Zhao XK; Zhang HY; Song X; Wu HF; Fan ZM; Xu RH; You D; Wang R; Zhou RX; Wang LD
World J Gastroenterol; 2022 Apr; 28(13):1347-1361. PubMed ID: 35645543
[TBL] [Abstract][Full Text] [Related]
5. CT radiomics features to predict lymph node metastasis in advanced esophageal squamous cell carcinoma and to discriminate between regional and non-regional lymph node metastasis: a case control study.
Ou J; Wu L; Li R; Wu CQ; Liu J; Chen TW; Zhang XM; Tang S; Wu YP; Yang LQ; Tan BG; Lu FL
Quant Imaging Med Surg; 2021 Feb; 11(2):628-640. PubMed ID: 33532263
[TBL] [Abstract][Full Text] [Related]
6. Development and Validation of a New Staging System for Esophageal Squamous Cell Carcinoma Patients Based on Combined Pathological TNM, Radiomics, and Proteomics.
Zheng SJ; Zheng CP; Zhai TT; Xu XE; Zheng YQ; Li ZM; Li EM; Liu W; Xu LY
Ann Surg Oncol; 2023 Apr; 30(4):2227-2241. PubMed ID: 36587172
[TBL] [Abstract][Full Text] [Related]
7. The development of a nomogram model for predicting left recurrent laryngeal nerve lymph node metastasis in esophageal cancer based on radiomics and clinical factors.
Huang YL; Yan C; Lin X; Chen ZP; Lin F; Feng ZP; Ke SK
Ann Transl Med; 2022 Dec; 10(23):1282. PubMed ID: 36618793
[TBL] [Abstract][Full Text] [Related]
8. Radiomics models based on CT at different phases predicting lymph node metastasis of esophageal squamous cell carcinoma (GASTO-1089).
Peng G; Zhan Y; Wu Y; Zeng C; Wang S; Guo L; Liu W; Luo L; Wang R; Huang K; Huang B; Chen J; Chen C
Front Oncol; 2022; 12():988859. PubMed ID: 36387160
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Preoperative CT radiomics of esophageal squamous cell carcinoma and lymph node to predict nodal disease with a high diagnostic capability.
Wu YP; Wu L; Ou J; Cao JM; Fu MY; Chen TW; Ouchi E; Hu J
Eur J Radiol; 2024 Jan; 170():111197. PubMed ID: 37992611
[TBL] [Abstract][Full Text] [Related]
11. CT radiomics features of meso-esophageal fat in predicting overall survival of patients with locally advanced esophageal squamous cell carcinoma treated by definitive chemoradiotherapy.
Yan S; Li FP; Jian L; Zhu HT; Zhao B; Li XT; Shi YJ; Sun YS
BMC Cancer; 2023 May; 23(1):477. PubMed ID: 37231388
[TBL] [Abstract][Full Text] [Related]
12. Incremental value of radiomics with machine learning to the existing prognostic models for predicting outcome in renal cell carcinoma.
Xing J; Liu Y; Wang Z; Xu A; Su S; Shen S; Wang Z
Front Oncol; 2023; 13():1036734. PubMed ID: 37188171
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Outcome prediction in resectable lung adenocarcinoma patients: value of CT radiomics.
Choe J; Lee SM; Do KH; Kim S; Choi S; Lee JG; Seo JB
Eur Radiol; 2020 Sep; 30(9):4952-4963. PubMed ID: 32356158
[TBL] [Abstract][Full Text] [Related]
16. Model integrating CT-based radiomics and genomics for survival prediction in esophageal cancer patients receiving definitive chemoradiotherapy.
Cui J; Li L; Liu N; Hou W; Dong Y; Yang F; Zhu S; Li J; Yuan S
Biomark Res; 2023 Apr; 11(1):44. PubMed ID: 37095586
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. MRI-based radiomics value for predicting the survival of patients with locally advanced cervical squamous cell cancer treated with concurrent chemoradiotherapy.
Zhang X; Zhao J; Zhang Q; Wang S; Zhang J; An J; Xie L; Yu X; Zhao X
Cancer Imaging; 2022 Jul; 22(1):35. PubMed ID: 35842679
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. The role of spleen radiomics model for predicting prognosis in esophageal squamous cell carcinoma patients receiving definitive radiotherapy.
Guo L; Liu A; Geng X; Zhao Z; Nie Y; Wang L; Liu D; Li Y; Li Y; Li D; Wang Q; Li Z; Liu X; Li M
Thorac Cancer; 2024 Apr; 15(12):947-964. PubMed ID: 38480505
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
