BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

156 related articles for article (PubMed ID: 33512851)

  • 1. Predicting Lymph Node Metastasis Using Computed Tomography Radiomics Analysis in Patients With Resectable Esophageal Squamous Cell Carcinoma.
    Zhao B; Zhu HT; Li XT; Shi YJ; Cao K; Sun YS
    J Comput Assist Tomogr; 2021 Mar-Apr 01; 45(2):323-329. PubMed ID: 33512851
    [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. 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]  

  • 4. Potential value of CT-based comprehensive nomogram in predicting occult lymph node metastasis of esophageal squamous cell paralaryngeal nerves: a two-center study.
    Xue T; Wan X; Zhou T; Zou Q; Ma C; Chen J
    J Transl Med; 2024 Apr; 22(1):399. PubMed ID: 38689366
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The MR radiomic signature can predict preoperative lymph node metastasis in patients with esophageal cancer.
    Qu J; Shen C; Qin J; Wang Z; Liu Z; Guo J; Zhang H; Gao P; Bei T; Wang Y; Liu H; Kamel IR; Tian J; Li H
    Eur Radiol; 2019 Feb; 29(2):906-914. PubMed ID: 30039220
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Development and validation of nomograms to intraoperatively predict metastatic patterns in regional lymph nodes in patients diagnosed with esophageal cancer.
    Zhao F; Lu RX; Liu JY; Fan J; Lin HR; Yang XY; You SH; Wu QG; Qin XY; Liu Y; Zhen FX; Luo JH; Wang W
    BMC Cancer; 2021 Jan; 21(1):22. PubMed ID: 33402129
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Predicting response to immunotherapy plus chemotherapy in patients with esophageal squamous cell carcinoma using non-invasive Radiomic biomarkers.
    Zhu Y; Yao W; Xu BC; Lei YY; Guo QK; Liu LZ; Li HJ; Xu M; Yan J; Chang DD; Feng ST; Zhu ZH
    BMC Cancer; 2021 Oct; 21(1):1167. PubMed ID: 34717582
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma.
    Lu W; Zhong L; Dong D; Fang M; Dai Q; Leng S; Zhang L; Sun W; Tian J; Zheng J; Jin Y
    Eur J Radiol; 2019 Sep; 118():231-238. PubMed ID: 31439247
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of Individual Lymph Node Metastatic Status in Esophageal Squamous Cell Carcinoma Using Routine Computed Tomography Imaging: Comparison of Size-Based Measurements and Radiomics-Based Models.
    Xie C; Hu Y; Han L; Fu J; Vardhanabhuti V; Yang H
    Ann Surg Oncol; 2022 Dec; 29(13):8117-8126. PubMed ID: 36018524
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer.
    Wang X; Li C; Fang M; Zhang L; Zhong L; Dong D; Tian J; Shan X
    BMC Med Imaging; 2021 Mar; 21(1):58. PubMed ID: 33757460
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Computed tomography-based radiomic analysis for prediction of treatment response to salvage chemoradiotherapy for locoregional lymph node recurrence after curative esophagectomy.
    Gu L; Liu Y; Guo X; Tian Y; Ye H; Zhou S; Gao F
    J Appl Clin Med Phys; 2021 Nov; 22(11):71-79. PubMed ID: 34614265
    [TBL] [Abstract][Full Text] [Related]  

  • 15. CT radiomic features for predicting resectability of oesophageal squamous cell carcinoma as given by feature analysis: a case control study.
    Ou J; Li R; Zeng R; Wu CQ; Chen Y; Chen TW; Zhang XM; Wu L; Jiang Y; Yang JQ; Cao JM; Tang S; Tang MJ; Hu J
    Cancer Imaging; 2019 Oct; 19(1):66. PubMed ID: 31619297
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development and validation of a nomogram for prediction of cervical lymph node metastasis in middle and lower thoracic esophageal squamous cell carcinoma.
    Yan Z; Xu X; Lu J; You Y; Xu J; Xu T
    BMC Gastroenterol; 2022 Apr; 22(1):163. PubMed ID: 35369868
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. Integrating Preoperative Computed Tomography and Clinical Factors for Lymph Node Metastasis Prediction in Esophageal Squamous Cell Carcinoma by Feature-Wise Attentional Graph Neural Network.
    Ding M; Cui H; Li B; Zou B; Fan B; Ma L; Wang Z; Li W; Yu J; Wang L
    Int J Radiat Oncol Biol Phys; 2023 Jul; 116(3):676-689. PubMed ID: 36641040
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Value of [
    Li K; Sun H; Lu Z; Xin J; Zhang L; Guo Y; Guo Q
    Eur J Radiol; 2018 Sep; 106():160-166. PubMed ID: 30150039
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.