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.
163 related articles for article (PubMed ID: 37293586)
1. Efficacy of radiomics model based on the concept of gross tumor volume and clinical target volume in predicting occult lymph node metastasis in non-small cell lung cancer. Zeng C; Zhang W; Liu M; Liu J; Zheng Q; Li J; Wang Z; Sun G Front Oncol; 2023; 13():1096364. PubMed ID: 37293586 [TBL] [Abstract][Full Text] [Related]
2. Development of a predictive radiomics model for lymph node metastases in pre-surgical CT-based stage IA non-small cell lung cancer. Cong M; Feng H; Ren JL; Xu Q; Cong L; Hou Z; Wang YY; Shi G Lung Cancer; 2020 Jan; 139():73-79. PubMed ID: 31743889 [TBL] [Abstract][Full Text] [Related]
3. Predicting N2 lymph node metastasis in presurgical stage I-II non-small cell lung cancer using multiview radiomics and deep learning method. Zhang H; Liao M; Guo Q; Chen J; Wang S; Liu S; Xiao F Med Phys; 2023 Apr; 50(4):2049-2060. PubMed ID: 36563341 [TBL] [Abstract][Full Text] [Related]
4. A Comprehensive Nomogram Combining CT Imaging with Clinical Features for Prediction of Lymph Node Metastasis in Stage I-IIIB Non-small Cell Lung Cancer. Zheng X; Shao J; Zhou L; Wang L; Ge Y; Wang G; Feng F Ther Innov Regul Sci; 2022 Jan; 56(1):155-167. PubMed ID: 34699046 [TBL] [Abstract][Full Text] [Related]
5. 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]
6. Radiomics analysis based on CT for predicting lymph node metastasis and prognosis in duodenal papillary carcinoma. Tang CT; Wu Y; Jiang L; Zeng CY; Chen YX Insights Imaging; 2024 Jun; 15(1):155. PubMed ID: 38900393 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. Radiomics analysis for prediction of lymph node metastasis after neoadjuvant chemotherapy based on pretreatment MRI in patients with locally advanced cervical cancer. Liu J; Dong L; Zhang X; Wu Q; Yang Z; Zhang Y; Xu C; Wu Q; Wang M Front Oncol; 2024; 14():1376640. PubMed ID: 38779088 [TBL] [Abstract][Full Text] [Related]
9. Development and evaluation of a venous computed tomography radiomics model to predict lymph node metastasis from non-small cell lung cancer. Cong M; Yao H; Liu H; Huang L; Shi G Medicine (Baltimore); 2020 May; 99(18):e20074. PubMed ID: 32358390 [TBL] [Abstract][Full Text] [Related]
10. Radiomics nomogram integrating intratumoural and peritumoural features to predict lymph node metastasis and prognosis in clinical stage IA non-small cell lung cancer: a two-centre study. Chen QL; Li MM; Xue T; Peng H; Shi J; Li YY; Duan SF; Feng F Clin Radiol; 2023 May; 78(5):e359-e367. PubMed ID: 36858926 [TBL] [Abstract][Full Text] [Related]
11. [Application of a Radiomics Model for Preding Lymph Node Metastasis in Non-small Cell Lung Cancer]. Zhu J; Xu WG; Xiao H; Zhou Y Sichuan Da Xue Xue Bao Yi Xue Ban; 2019 May; 50(3):373-378. PubMed ID: 31631606 [TBL] [Abstract][Full Text] [Related]
12. Qiao J; Zhang X; Du M; Wang P; Xin J Front Oncol; 2022; 12():974934. PubMed ID: 36249026 [TBL] [Abstract][Full Text] [Related]
13. Incidence rate of occult lymph node metastasis in clinical T Jiang X; Luo C; Peng X; Zhang J; Yang L; Liu LZ; Cui YF; Liu MW; Miao L; Jiang JM; Ren JL; Yang XT; Li M; Zhang L Respir Res; 2024 May; 25(1):226. PubMed ID: 38811960 [TBL] [Abstract][Full Text] [Related]
14. Preoperative prediction of mediastinal lymph node metastasis in non-small cell lung cancer based on Huang Y; Jiang X; Xu H; Zhang D; Liu LN; Xia YX; Xu DK; Wu HJ; Cheng G; Shi YH Clin Radiol; 2023 Jan; 78(1):8-17. PubMed ID: 36192203 [TBL] [Abstract][Full Text] [Related]
15. Predicting response to CCRT for esophageal squamous carcinoma by a radiomics-clinical SHAP model. Cheng X; Zhang Y; Zhu M; Sun R; Liu L; Li X BMC Med Imaging; 2023 Oct; 23(1):145. PubMed ID: 37779188 [TBL] [Abstract][Full Text] [Related]
16. Developing a primary tumor and lymph node 18F-FDG PET/CT-clinical (TLPC) model to predict lymph node metastasis of resectable T2-4 NSCLC. Wang M; Liu L; Dai Q; Jin M; Huang G J Cancer Res Clin Oncol; 2023 Jan; 149(1):247-261. PubMed ID: 36565319 [TBL] [Abstract][Full Text] [Related]
17. [The value of spectral CT-based radiomics in preoperative prediction of lymph node metastasis of advanced gastric cancer]. Wang R; Li J; Fang MJ; Dong D; Liang P; Gao JB Zhonghua Yi Xue Za Zhi; 2020 Jun; 100(21):1617-1622. PubMed ID: 32486595 [No Abstract] [Full Text] [Related]
18. Integrative nomogram of intratumoral, peritumoral, and lymph node radiomic features for prediction of lymph node metastasis in cT1N0M0 lung adenocarcinomas. Das SK; Fang KW; Xu L; Li B; Zhang X; Yang HF Sci Rep; 2021 May; 11(1):10829. PubMed ID: 34031529 [TBL] [Abstract][Full Text] [Related]
19. Comparing three-dimensional and two-dimensional deep-learning, radiomics, and fusion models for predicting occult lymph node metastasis in laryngeal squamous cell carcinoma based on CT imaging: a multicentre, retrospective, diagnostic study. Wang W; Liang H; Zhang Z; Xu C; Wei D; Li W; Qian Y; Zhang L; Liu J; Lei D EClinicalMedicine; 2024 Jan; 67():102385. PubMed ID: 38261897 [TBL] [Abstract][Full Text] [Related]
20. Imbalanced Data Correction Based PET/CT Radiomics Model for Predicting Lymph Node Metastasis in Clinical Stage T1 Lung Adenocarcinoma. Lv J; Chen X; Liu X; Du D; Lv W; Lu L; Wu H Front Oncol; 2022; 12():788968. PubMed ID: 35155231 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]