BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

264 related articles for article (PubMed ID: 32269929)

  • 1. Development and multicenter validation of a CT-based radiomics signature for discriminating histological grades of pancreatic ductal adenocarcinoma.
    Chang N; Cui L; Luo Y; Chang Z; Yu B; Liu Z
    Quant Imaging Med Surg; 2020 Mar; 10(3):692-702. PubMed ID: 32269929
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiomics Model Based on MR Images to Discriminate Pancreatic Ductal Adenocarcinoma and Mass-Forming Chronic Pancreatitis Lesions.
    Deng Y; Ming B; Zhou T; Wu JL; Chen Y; Liu P; Zhang J; Zhang SY; Chen TW; Zhang XM
    Front Oncol; 2021; 11():620981. PubMed ID: 33842325
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Clinical-radiomics nomogram using contrast-enhanced CT to predict histological grade and survival in pancreatic ductal adenocarcinoma.
    Cen C; Wang C; Wang S; Wen K; Liu L; Li X; Wu L; Huang M; Ma L; Liu H; Wu H; Han P
    Front Oncol; 2023; 13():1218128. PubMed ID: 37731637
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Development and validation of a CT-based nomogram for preoperative prediction of clear cell renal cell carcinoma grades.
    Zheng Z; Chen Z; Xie Y; Zhong Q; Xie W
    Eur Radiol; 2021 Aug; 31(8):6078-6086. PubMed ID: 33515086
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Preoperative prediction of pathological grade in pancreatic ductal adenocarcinoma based on
    Xing H; Hao Z; Zhu W; Sun D; Ding J; Zhang H; Liu Y; Huo L
    EJNMMI Res; 2021 Feb; 11(1):19. PubMed ID: 33630176
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CT-based Radiomics Signature to Discriminate High-grade From Low-grade Colorectal Adenocarcinoma.
    Huang X; Cheng Z; Huang Y; Liang C; He L; Ma Z; Chen X; Wu X; Li Y; Liang C; Liu Z
    Acad Radiol; 2018 Oct; 25(10):1285-1297. PubMed ID: 29503175
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting the grade of hepatocellular carcinoma based on non-contrast-enhanced MRI radiomics signature.
    Wu M; Tan H; Gao F; Hai J; Ning P; Chen J; Zhu S; Wang M; Dou S; Shi D
    Eur Radiol; 2019 Jun; 29(6):2802-2811. PubMed ID: 30406313
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The predictive potential of contrast-enhanced computed tomography based radiomics in the preoperative staging of cT4 gastric cancer.
    Liu B; Zhang D; Wang H; Wang H; Zhang P; Zhang D; Zhang Q; Zhang J
    Quant Imaging Med Surg; 2022 Nov; 12(11):5222-5238. PubMed ID: 36330185
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Preoperative evaluating early recurrence in resectable pancreatic ductal adenocarcinoma by using CT radiomics.
    Wang G; Lei W; Duan S; Cao A; Shi H
    Abdom Radiol (NY); 2024 Feb; 49(2):484-491. PubMed ID: 37955726
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Survival prediction after upfront surgery in patients with pancreatic ductal adenocarcinoma: Radiomic, clinic-pathologic and body composition analysis.
    Shi H; Wei Y; Cheng S; Lu Z; Zhang K; Jiang K; Xu Q
    Pancreatology; 2021 Jun; 21(4):731-737. PubMed ID: 33678581
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparison of Multiple Radiomics Models for Identifying Histological Grade of Pancreatic Ductal Adenocarcinoma Preoperatively Based on Multiphasic Contrast-Enhanced Computed Tomography: A Two-Center Study in Southwest China.
    Liao H; Li Y; Yang Y; Liu H; Zhang J; Liang H; Yan G; Liu Y
    Diagnostics (Basel); 2022 Aug; 12(8):. PubMed ID: 36010267
    [TBL] [Abstract][Full Text] [Related]  

  • 13. CT-Based Radiomics Signature for the Preoperative Discrimination Between Head and Neck Squamous Cell Carcinoma Grades.
    Wu W; Ye J; Wang Q; Luo J; Xu S
    Front Oncol; 2019; 9():821. PubMed ID: 31544063
    [No Abstract]   [Full Text] [Related]  

  • 14. Radiomics analysis for the differentiation of autoimmune pancreatitis and pancreatic ductal adenocarcinoma in
    Zhang Y; Cheng C; Liu Z; Wang L; Pan G; Sun G; Chang Y; Zuo C; Yang X
    Med Phys; 2019 Oct; 46(10):4520-4530. PubMed ID: 31348535
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine learning-based CT radiomics approach for predicting WHO/ISUP nuclear grade of clear cell renal cell carcinoma: an exploratory and comparative study.
    Xv Y; Lv F; Guo H; Zhou X; Tan H; Xiao M; Zheng Y
    Insights Imaging; 2021 Nov; 12(1):170. PubMed ID: 34800179
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomics Analysis of Multiphasic Computed Tomography Images for Distinguishing High-Risk Thymic Epithelial Tumors From Low-Risk Thymic Epithelial Tumors.
    Liufu Y; Wen Y; Wu W; Su R; Liu S; Li J; Pan X; Chen K; Guan Y
    J Comput Assist Tomogr; 2023 Mar-Apr 01; 47(2):220-228. PubMed ID: 36877755
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study.
    Chen H; Zhang X; Wang X; Quan X; Deng Y; Lu M; Wei Q; Ye Q; Zhou Q; Xiang Z; Liang C; Yang W; Zhao Y
    Eur Radiol; 2021 Oct; 31(10):7913-7924. PubMed ID: 33825032
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Differentiation of Lung Metastases Originated From Different Primary Tumors Using Radiomics Features Based on CT Imaging.
    Shang H; Li J; Jiao T; Fang C; Li K; Yin D; Zeng Q
    Acad Radiol; 2023 Jan; 30(1):40-46. PubMed ID: 35577699
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiomics study for predicting the expression of PD-L1 in non-small cell lung cancer based on CT images and clinicopathologic features.
    Sun Z; Hu S; Ge Y; Wang J; Duan S; Song J; Hu C; Li Y
    J Xray Sci Technol; 2020; 28(3):449-459. PubMed ID: 32176676
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiomic signature based on CT imaging to distinguish invasive adenocarcinoma from minimally invasive adenocarcinoma in pure ground-glass nodules with pleural contact.
    Jiang Y; Che S; Ma S; Liu X; Guo Y; Liu A; Li G; Li Z
    Cancer Imaging; 2021 Jan; 21(1):1. PubMed ID: 33407884
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.