These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
159 related articles for article (PubMed ID: 37949700)
1. Preoperative Prediction of Perineural Invasion in Oesophageal Squamous Cell Carcinoma Based on CT Radiomics Nomogram: A Multicenter Study. Zhou H; Zhou J; Qin C; Tian Q; Zhou S; Qin Y; Wu Y; Shi J; Feng F Acad Radiol; 2024 Apr; 31(4):1355-1366. PubMed ID: 37949700 [TBL] [Abstract][Full Text] [Related]
2. Computed tomography-based radiomics nomogram for prediction of lympho-vascular and perineural invasion in esophageal squamous cell cancer patients: a retrospective cohort study. Tang B; Wu F; Peng L; Leng X; Han Y; Wang Q; Wu J; Orlandini LC Cancer Imaging; 2024 Oct; 24(1):131. PubMed ID: 39367492 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. Computed tomography-based radiomics nomogram for the preoperative prediction of perineural invasion in colorectal cancer: a multicentre study. Chen Q; Cui Y; Xue T; Peng H; Li M; Zhu X; Duan S; Gu H; Feng F Abdom Radiol (NY); 2022 Sep; 47(9):3251-3263. PubMed ID: 35960308 [TBL] [Abstract][Full Text] [Related]
5. Radiomics-clinical nomogram for preoperative lymph node metastasis prediction in esophageal carcinoma. Geng X; Zhang Y; Li Y; Cai Y; Liu J; Geng T; Meng X; Hao F Br J Radiol; 2024 Feb; 97(1155):652-659. PubMed ID: 38268475 [TBL] [Abstract][Full Text] [Related]
6. CT-based delta-radiomics nomogram to predict pathological complete response after neoadjuvant chemoradiotherapy in esophageal squamous cell carcinoma patients. Fan L; Yang Z; Chang M; Chen Z; Wen Q J Transl Med; 2024 Jun; 22(1):579. PubMed ID: 38890720 [TBL] [Abstract][Full Text] [Related]
7. Computed Tomography-Based Radiomics Nomogram for Predicting the Postoperative Prognosis of Esophageal Squamous Cell Carcinoma: A Multicenter Study. Peng H; Xue T; Chen Q; Li M; Ge Y; Feng F Acad Radiol; 2022 Nov; 29(11):1631-1640. PubMed ID: 35300908 [TBL] [Abstract][Full Text] [Related]
8. The value of Ma J; Guo D; Miao W; Wang Y; Yan L; Wu F; Zhang C; Zhang R; Zuo P; Yang G; Wang Z Abdom Radiol (NY); 2022 Apr; 47(4):1244-1254. PubMed ID: 35218381 [TBL] [Abstract][Full Text] [Related]
9. A nomogram based on pretreatment radiomics and dosiomics features for predicting overall survival associated with esophageal squamous cell cancer. Kawahara D; Nishioka R; Murakami Y; Emoto Y; Iwashita K; Sasaki R Eur J Surg Oncol; 2024 Jul; 50(7):108450. PubMed ID: 38843660 [TBL] [Abstract][Full Text] [Related]
10. Computed tomography-based radiomics analysis to predict lymphovascular invasion in esophageal squamous cell carcinoma. Peng H; Yang Q; Xue T; Chen Q; Li M; Duan S; Cai B; Feng F Br J Radiol; 2022 Feb; 95(1130):20210918. PubMed ID: 34908477 [TBL] [Abstract][Full Text] [Related]
11. 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]
12. A prognostic nomogram for T3N0M0 esophageal squamous cell carcinoma patients undergoing radical surgery based on computed tomography radiomics and inflammatory nutritional biomarkers. Ma H; Liu Y; Ye H; Gao F; Qin S J Appl Clin Med Phys; 2024 Nov; 25(11):e14504. PubMed ID: 39241166 [TBL] [Abstract][Full Text] [Related]
13. 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]
14. A combined nomogram based on radiomics and hematology to predict the pathological complete response of neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma. Yang Y; Yi Y; Wang Z; Li S; Zhang B; Sang Z; Zhang L; Cao Q; Li B BMC Cancer; 2024 Apr; 24(1):460. PubMed ID: 38609892 [TBL] [Abstract][Full Text] [Related]
15. Development and validation of a combined nomogram for predicting perineural invasion status in rectal cancer via computed tomography-based radiomics. Liu J; Sun L; Zhao X; Lu X J Cancer Res Ther; 2023 Dec; 19(6):1552-1559. PubMed ID: 38156921 [TBL] [Abstract][Full Text] [Related]
16. Preoperative CT Radiomics Nomogram for Predicting Microvascular Invasion in Stage I Non-Small Cell Lung Cancer. Deng L; Tang HZ; Luo YW; Feng F; Wu JY; Li Q; Qiang JW Acad Radiol; 2024 Jan; 31(1):46-57. PubMed ID: 37331866 [TBL] [Abstract][Full Text] [Related]
17. A machine learning radiomics based on enhanced computed tomography to predict neoadjuvant immunotherapy for resectable esophageal squamous cell carcinoma. Wang JL; Tang LS; Zhong X; Wang Y; Feng YJ; Zhang Y; Liu JY Front Immunol; 2024; 15():1405146. PubMed ID: 38947338 [TBL] [Abstract][Full Text] [Related]
18. Prediction of lymphovascular invasion in esophageal squamous cell carcinoma by computed tomography-based radiomics analysis: 2D or 3D ? Li Y; Gu X; Yang L; Wang X; Wang Q; Xu X; Zhang A; Yue M; Wang M; Cong M; Ren J; Ren W; Shi G Cancer Imaging; 2024 Oct; 24(1):141. PubMed ID: 39420415 [TBL] [Abstract][Full Text] [Related]
19. Radiomics for predicting perineural invasion status in rectal cancer. Li M; Jin YM; Zhang YC; Zhao YL; Huang CC; Liu SM; Song B World J Gastroenterol; 2021 Sep; 27(33):5610-5621. PubMed ID: 34588755 [TBL] [Abstract][Full Text] [Related]
20. 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] [Next] [New Search]