BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

140 related articles for article (PubMed ID: 34922828)

  • 1. Prediction of Tumor-Infiltrating CD20
    Li Q; Yu J; Zhang H; Meng Y; Liu YF; Jiang H; Zhu M; Li N; Zhou J; Liu F; Fang X; Li J; Feng X; Lu J; Shao C; Bian Y
    Acad Radiol; 2022 Sep; 29(9):e167-e177. PubMed ID: 34922828
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Noncontrast Magnetic Resonance Radiomics and Multilayer Perceptron Network Classifier: An approach for Predicting Fibroblast Activation Protein Expression in Patients With Pancreatic Ductal Adenocarcinoma.
    Meng Y; Zhang H; Li Q; Xing P; Liu F; Cao K; Fang X; Li J; Yu J; Feng X; Ma C; Wang L; Jiang H; Lu J; Bian Y; Shao C
    J Magn Reson Imaging; 2021 Nov; 54(5):1432-1443. PubMed ID: 33890347
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Contrast-enhanced computed tomography radiomics and multilayer perceptron network classifier: an approach for predicting CD20
    Yu J; Li Q; Zhang H; Meng Y; Liu YF; Jiang H; Ma C; Liu F; Fang X; Li J; Feng X; Shao C; Bian Y; Lu J
    Abdom Radiol (NY); 2022 Jan; 47(1):242-253. PubMed ID: 34708252
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Preoperative Radiomics Approach to Evaluating Tumor-Infiltrating CD8
    Bian Y; Liu C; Li Q; Meng Y; Liu F; Zhang H; Fang X; Li J; Yu J; Feng X; Ma C; Zhao Z; Wang L; Xu J; Shao C; Lu J
    J Magn Reson Imaging; 2022 Mar; 55(3):803-814. PubMed ID: 34355834
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Magnetic Resonance Radiomics and Machine-learning Models: An Approach for Evaluating Tumor-stroma Ratio in Patients with Pancreatic Ductal Adenocarcinoma.
    Meng Y; Zhang H; Li Q; Liu F; Fang X; Li J; Yu J; Feng X; Lu J; Bian Y; Shao C
    Acad Radiol; 2022 Apr; 29(4):523-535. PubMed ID: 34563443
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine learning for MRI radiomics: a study predicting tumor-infiltrating lymphocytes in patients with pancreatic ductal adenocarcinoma.
    Bian Y; Liu YF; Jiang H; Meng Y; Liu F; Cao K; Zhang H; Fang X; Li J; Yu J; Feng X; Li Q; Wang L; Lu J; Shao C
    Abdom Radiol (NY); 2021 Oct; 46(10):4800-4816. PubMed ID: 34189612
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine Learning for Computed Tomography Radiomics: Prediction of Tumor-Infiltrating Lymphocytes in Patients With Pancreatic Ductal Adenocarcinoma.
    Bian Y; Liu YF; Li J; Liu F; Fang X; Lu J; Shao C
    Pancreas; 2022 May; 51(5):549-558. PubMed ID: 35877153
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Editorial for "Noncontrast Magnetic Resonance Radiomics and Multilayer Perceptron Network Classifier: An approach for Predicting Fibroblast Activation Protein Expression in Patients With Pancreatic Ductal Adenocarcinoma".
    Sivanesan U; van der Pol CB
    J Magn Reson Imaging; 2021 Nov; 54(5):1444-1445. PubMed ID: 33963800
    [No Abstract]   [Full Text] [Related]  

  • 9. Development and validation of a deep learning radiomics model with clinical-radiological characteristics for the identification of occult peritoneal metastases in patients with pancreatic ductal adenocarcinoma.
    Shi S; Lin C; Zhou J; Wei L; Chen M; Zhang J; Cao K; Fan Y; Huang B; Luo Y; Feng ST
    Int J Surg; 2024 May; 110(5):2669-2678. PubMed ID: 38445459
    [TBL] [Abstract][Full Text] [Related]  

  • 10. CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarcinoma.
    Meng Y; Zhang H; Li Q; Liu F; Fang X; Li J; Yu J; Feng X; Zhu M; Li N; Jing G; Wang L; Ma C; Lu J; Bian Y; Shao C
    Front Oncol; 2021; 11():707288. PubMed ID: 34820324
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma.
    Bian Y; Guo S; Jiang H; Gao S; Shao C; Cao K; Fang X; Li J; Wang L; Ma C; Zheng J; Jin G; Lu J
    Cancer Imaging; 2022 Jan; 22(1):4. PubMed ID: 34991733
    [TBL] [Abstract][Full Text] [Related]  

  • 12. CT radiomics signature: a potential biomarker for fibroblast activation protein expression in patients with pancreatic ductal adenocarcinoma.
    Meng Y; Yu J; Zhu M; Zhou J; Li N; Liu F; Zhang H; Fang X; Li J; Feng X; Wang L; Jiang H; Lu J; Shao C; Bian Y
    Abdom Radiol (NY); 2022 Aug; 47(8):2822-2834. PubMed ID: 35451626
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic Tissue.
    Chu LC; Park S; Kawamoto S; Fouladi DF; Shayesteh S; Zinreich ES; Graves JS; Horton KM; Hruban RH; Yuille AL; Kinzler KW; Vogelstein B; Fishman EK
    AJR Am J Roentgenol; 2019 Aug; 213(2):349-357. PubMed ID: 31012758
    [No Abstract]   [Full Text] [Related]  

  • 14. Prediction of postoperative liver metastasis in pancreatic ductal adenocarcinoma based on multiparametric magnetic resonance radiomics combined with serological markers: a cohort study of machine learning.
    Yuan Z; Shu Z; Peng J; Wang W; Hou J; Han L; Zheng G; Wei Y; Zhong J
    Abdom Radiol (NY); 2024 Jan; 49(1):117-130. PubMed ID: 37819438
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A machine learning model for the prediction of survival and tumor subtype in pancreatic ductal adenocarcinoma from preoperative diffusion-weighted imaging.
    Kaissis G; Ziegelmayer S; Lohöfer F; Algül H; Eiber M; Weichert W; Schmid R; Friess H; Rummeny E; Ankerst D; Siveke J; Braren R
    Eur Radiol Exp; 2019 Oct; 3(1):41. PubMed ID: 31624935
    [TBL] [Abstract][Full Text] [Related]  

  • 16. XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8
    Li J; Shi Z; Liu F; Fang X; Cao K; Meng Y; Zhang H; Yu J; Feng X; Li Q; Liu Y; Wang L; Jiang H; Lu J; Shao C; Bian Y
    Front Oncol; 2021; 11():671333. PubMed ID: 34094971
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Applying a radiomics-based strategy to preoperatively predict lymph node metastasis in the resectable pancreatic ductal adenocarcinoma.
    Liu P; Gu Q; Hu X; Tan X; Liu J; Xie A; Huang F
    J Xray Sci Technol; 2020; 28(6):1113-1121. PubMed ID: 33074215
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Whole-tumour evaluation with MRI and radiomics features to predict the efficacy of S-1 for adjuvant chemotherapy in postoperative pancreatic cancer patients: a pilot study.
    Liang L; Ding Y; Yu Y; Liu K; Rao S; Ge Y; Zeng M
    BMC Med Imaging; 2021 Apr; 21(1):75. PubMed ID: 33902469
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Upregulation of CD20 Positive B-Cells and B-Cell Aggregates in the Tumor Infiltration Zone is Associated with Better Survival of Patients with Pancreatic Ductal Adenocarcinoma.
    Brunner M; Maier K; Rümmele P; Jacobsen A; Merkel S; Benard A; Krautz C; Kersting S; Grützmann R; Weber GF
    Int J Mol Sci; 2020 Mar; 21(5):. PubMed ID: 32150869
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiomics model-based algorithm for preoperative prediction of pancreatic ductal adenocarcinoma grade.
    Tikhonova VS; Karmazanovsky GG; Kondratyev EV; Gruzdev IS; Mikhaylyuk KA; Sinelnikov MY; Revishvili AS
    Eur Radiol; 2023 Feb; 33(2):1152-1161. PubMed ID: 35986774
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.