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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

216 related articles for article (PubMed ID: 37148481)

  • 1. Prediction of the mitotic index and preoperative risk stratification of gastrointestinal stromal tumors with CT radiomic features.
    Lin JX; Wang FH; Wang ZK; Wang JB; Zheng CH; Li P; Huang CM; Xie JW
    Radiol Med; 2023 Jun; 128(6):644-654. PubMed ID: 37148481
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of recurrence-free survival and adjuvant therapy benefit in patients with gastrointestinal stromal tumors based on radiomics features.
    Wang FH; Zheng HL; Li JT; Li P; Zheng CH; Chen QY; Huang CM; Xie JW
    Radiol Med; 2022 Oct; 127(10):1085-1097. PubMed ID: 36057930
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Radiomics Nomogram Based on Contrast-enhanced CT to Predict the Malignant Potential of Gastrointestinal Stromal Tumor: A Two-center Study.
    Song Y; Li J; Wang H; Liu B; Yuan C; Liu H; Zheng Z; Min F; Li Y
    Acad Radiol; 2022 Jun; 29(6):806-816. PubMed ID: 34238656
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predictive Value of a Radiomics Nomogram Model Based on Contrast-Enhanced Computed Tomography for KIT Exon 9 Gene Mutation in Gastrointestinal Stromal Tumors.
    Wei Y; Lu Z; Ren Y
    Technol Cancer Res Treat; 2023; 22():15330338231181260. PubMed ID: 37296525
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MRI Texture-Based Models for Predicting Mitotic Index and Risk Classification of Gastrointestinal Stromal Tumors.
    Yang L; Zheng T; Dong Y; Wang Z; Liu D; Du J; Wu S; Shi Q; Liu L
    J Magn Reson Imaging; 2021 Apr; 53(4):1054-1065. PubMed ID: 33037745
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Personalized CT-based radiomics nomogram preoperative predicting Ki-67 expression in gastrointestinal stromal tumors: a multicenter development and validation cohort.
    Zhang QW; Gao YJ; Zhang RY; Zhou XX; Chen SL; Zhang Y; Liu Q; Xu JR; Ge ZZ
    Clin Transl Med; 2020 Jan; 9(1):12. PubMed ID: 32006200
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Building CT Radiomics-Based Models for Preoperatively Predicting Malignant Potential and Mitotic Count of Gastrointestinal Stromal Tumors.
    Wang C; Li H; Jiaerken Y; Huang P; Sun L; Dong F; Huang Y; Dong D; Tian J; Zhang M
    Transl Oncol; 2019 Sep; 12(9):1229-1236. PubMed ID: 31280094
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development and validation of a nomogram based on CT images and 3D texture analysis for preoperative prediction of the malignant potential in gastrointestinal stromal tumors.
    Ren C; Wang S; Zhang S
    Cancer Imaging; 2020 Jan; 20(1):5. PubMed ID: 31931874
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting the progression-free survival of gastrointestinal stromal tumors after imatinib therapy through multi-sequence magnetic resonance imaging.
    Yang L; Zhang D; Zheng T; Liu D; Fang Y
    Abdom Radiol (NY); 2024 Mar; 49(3):801-813. PubMed ID: 38006414
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Preoperative CT-based radiomics and deep learning model for predicting risk stratification of gastric gastrointestinal stromal tumors.
    Yang P; Wu J; Liu M; Zheng Y; Zhao X; Mao Y
    Med Phys; 2024 Oct; 51(10):7257-7268. PubMed ID: 38935330
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study.
    Cui S; Tang T; Su Q; Wang Y; Shu Z; Yang W; Gong X
    Cancer Imaging; 2021 Mar; 21(1):26. PubMed ID: 33750453
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Clinical-Radiomic Nomogram Based on Unenhanced Computed Tomography for Predicting the Risk of Aldosterone-Producing Adenoma.
    He K; Zhang ZT; Wang ZH; Wang Y; Wang YX; Zhang HZ; Dong YF; Xiao XL
    Front Oncol; 2021; 11():634879. PubMed ID: 34307119
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Combined model based on enhanced CT texture features in liver metastasis prediction of high-risk gastrointestinal stromal tumors.
    Zheng J; Xia Y; Xu A; Weng X; Wang X; Jiang H; Li Q; Li F
    Abdom Radiol (NY); 2022 Jan; 47(1):85-93. PubMed ID: 34705087
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Preoperative prediction for lauren type of gastric cancer: A radiomics nomogram analysis based on CT images and clinical features.
    Sun Z; Jin L; Zhang S; Duan S; Xing W; Hu S
    J Xray Sci Technol; 2021; 29(4):675-686. PubMed ID: 34024809
    [TBL] [Abstract][Full Text] [Related]  

  • 15. CT-based radiomic nomogram for preoperative prediction of DNA mismatch repair deficiency in gastric cancer.
    Zeng Q; Zhu Y; Li L; Feng Z; Shu X; Wu A; Luo L; Cao Y; Tu Y; Xiong J; Zhou F; Li Z
    Front Oncol; 2022; 12():883109. PubMed ID: 36185292
    [TBL] [Abstract][Full Text] [Related]  

  • 16. CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study.
    Gu D; Hu Y; Ding H; Wei J; Chen K; Liu H; Zeng M; Tian J
    Eur Radiol; 2019 Dec; 29(12):6880-6890. PubMed ID: 31227882
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Computed tomography-based radiomics model for discriminating the risk stratification of gastrointestinal stromal tumors.
    Zhang L; Kang L; Li G; Zhang X; Ren J; Shi Z; Li J; Yu S
    Radiol Med; 2020 May; 125(5):465-473. PubMed ID: 32048155
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Application of a combined radiomics nomogram based on CE-CT in the preoperative prediction of thymomas risk categorization.
    Dong W; Xiong S; Lei P; Wang X; Liu H; Liu Y; Zou H; Fan B; Qiu Y
    Front Oncol; 2022; 12():944005. PubMed ID: 36081562
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of response to neoadjuvant chemotherapy in advanced gastric cancer: A radiomics nomogram analysis based on CT images and clinicopathological features.
    Tan X; Yang X; Hu S; Ge Y; Wu Q; Wang J; Sun Z
    J Xray Sci Technol; 2023; 31(1):49-61. PubMed ID: 36314190
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.