BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

199 related articles for article (PubMed ID: 34968471)

  • 1. Deep learning radiomics model related with genomics phenotypes for lymph node metastasis prediction in colorectal cancer.
    Zhao J; Wang H; Zhang Y; Wang R; Liu Q; Li J; Li X; Huang H; Zhang J; Zeng Z; Zhang J; Yi Z; Zeng F
    Radiother Oncol; 2022 Feb; 167():195-202. PubMed ID: 34968471
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A clinical-radiomics nomogram for the preoperative prediction of lymph node metastasis in colorectal cancer.
    Li M; Zhang J; Dan Y; Yao Y; Dai W; Cai G; Yang G; Tong T
    J Transl Med; 2020 Jan; 18(1):46. PubMed ID: 32000813
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer.
    Li J; Dong D; Fang M; Wang R; Tian J; Li H; Gao J
    Eur Radiol; 2020 Apr; 30(4):2324-2333. PubMed ID: 31953668
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Lymph node metastasis prediction and biological pathway associations underlying DCE-MRI deep learning radiomics in invasive breast cancer.
    Liu W; Chen W; Xia J; Lu Z; Fu Y; Li Y; Tan Z
    BMC Med Imaging; 2024 Apr; 24(1):91. PubMed ID: 38627678
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer.
    Huang YQ; Liang CH; He L; Tian J; Liang CS; Chen X; Ma ZL; Liu ZY
    J Clin Oncol; 2016 Jun; 34(18):2157-64. PubMed ID: 27138577
    [TBL] [Abstract][Full Text] [Related]  

  • 6. LASSO-Based Machine Learning Algorithm for Prediction of Lymph Node Metastasis in T1 Colorectal Cancer.
    Kang J; Choi YJ; Kim IK; Lee HS; Kim H; Baik SH; Kim NK; Lee KY
    Cancer Res Treat; 2021 Jul; 53(3):773-783. PubMed ID: 33421980
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study.
    Gu J; Tong T; Xu D; Cheng F; Fang C; He C; Wang J; Wang B; Yang X; Wang K; Tian J; Jiang T
    Cancer; 2023 Feb; 129(3):356-366. PubMed ID: 36401611
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma.
    Xie H; Song C; Jian L; Guo Y; Li M; Luo J; Li Q; Tan T
    BMC Med Imaging; 2024 May; 24(1):121. PubMed ID: 38789936
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using endoscopically resected specimens; prediction of lymph node metastasis in T1 colorectal cancer.
    Song JH; Hong Y; Kim ER; Kim SH; Sohn I
    J Gastroenterol; 2022 Sep; 57(9):654-666. PubMed ID: 35802259
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Special issue "The advance of solid tumor research in China": Prognosis prediction for stage II colorectal cancer by fusing computed tomography radiomics and deep-learning features of primary lesions and peripheral lymph nodes.
    Li M; Gong J; Bao Y; Huang D; Peng J; Tong T
    Int J Cancer; 2023 Jan; 152(1):31-41. PubMed ID: 35484979
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Noninvasive prediction of lymph node status for patients with early-stage cervical cancer based on radiomics features from ultrasound images.
    Jin X; Ai Y; Zhang J; Zhu H; Jin J; Teng Y; Chen B; Xie C
    Eur Radiol; 2020 Jul; 30(7):4117-4124. PubMed ID: 32078013
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development and validation of a deep learning signature for predicting lymph node metastasis in lung adenocarcinoma: comparison with radiomics signature and clinical-semantic model.
    Ma X; Xia L; Chen J; Wan W; Zhou W
    Eur Radiol; 2023 Mar; 33(3):1949-1962. PubMed ID: 36169691
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
    Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X
    Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Preoperative prediction of regional lymph node metastasis of colorectal cancer based on
    He J; Wang Q; Zhang Y; Wu H; Zhou Y; Zhao S
    Ann Nucl Med; 2021 May; 35(5):617-627. PubMed ID: 33738763
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomics signature based on computed tomography images for the preoperative prediction of lymph node metastasis at individual stations in gastric cancer: A multicenter study.
    Sun Z; Jiang Y; Chen C; Zheng H; Huang W; Xu B; Tang W; Yuan Q; Zhou K; Liang X; Chen H; Han Z; Feng H; Yu S; Hu Y; Yu J; Zhou Z; Wang W; Xu Y; Li G
    Radiother Oncol; 2021 Dec; 165():179-190. PubMed ID: 34774652
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A new clinical model for predicting lymph node metastasis in T1 colorectal cancer.
    Wang K; He H; Lin Y; Zhang Y; Chen J; Hu J; He X
    Int J Colorectal Dis; 2024 Apr; 39(1):46. PubMed ID: 38565736
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A radiomics-based model for prediction of lymph node metastasis in gastric cancer.
    Gao X; Ma T; Cui J; Zhang Y; Wang L; Li H; Ye Z
    Eur J Radiol; 2020 Aug; 129():109069. PubMed ID: 32464581
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Individualized Prediction of Colorectal Cancer Metastasis Using a Radiogenomics Approach.
    Liu Q; Li J; Xu L; Wang J; Zeng Z; Fu J; Huang X; Chu Y; Wang J; Zhang HY; Zeng F
    Front Oncol; 2021; 11():620945. PubMed ID: 33996544
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 10.