Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

216 related articles for article (PubMed ID: 37114635)

  • 1. Prediction of Microsatellite Instability in Colorectal Cancer Using a Machine Learning Model Based on PET/CT Radiomics.
    Kim S; Lee JH; Park EJ; Lee HS; Baik SH; Jeon TJ; Lee KY; Ryu YH; Kang J
    Yonsei Med J; 2023 May; 64(5):320-326. PubMed ID: 37114635
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Predictive Value of Metabolic Parameters Derived From
    Liu H; Ye Z; Yang T; Xie H; Duan T; Li M; Wu M; Song B
    Front Immunol; 2021; 12():724464. PubMed ID: 34512653
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computed Tomography-Based Radiomic Features Could Potentially Predict Microsatellite Instability Status in Stage II Colorectal Cancer: A Preliminary Study.
    Fan S; Li X; Cui X; Zheng L; Ren X; Ma W; Ye Z
    Acad Radiol; 2019 Dec; 26(12):1633-1640. PubMed ID: 30929999
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Metabolic activity via
    Song J; Li Z; Yang L; Wei M; Yang Z; Wang X
    BMC Cancer; 2022 Jul; 22(1):808. PubMed ID: 35869469
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The value of
    Ma J; Guo D; Miao W; Wang Y; Yan L; Wu F; Zhang C; Zhang R; Zuo P; Yang G; Wang Z
    Abdom Radiol (NY); 2022 Apr; 47(4):1244-1254. PubMed ID: 35218381
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An integrative clinical and CT-based tumoral/peritumoral radiomics nomogram to predict the microsatellite instability in rectal carcinoma.
    Ma Y; Xu X; Lin Y; Li J; Yuan H
    Abdom Radiol (NY); 2024 Mar; 49(3):783-790. PubMed ID: 38001326
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development and validation of a radiomics-based nomogram for the preoperative prediction of microsatellite instability in colorectal cancer.
    Ying M; Pan J; Lu G; Zhou S; Fu J; Wang Q; Wang L; Hu B; Wei Y; Shen J
    BMC Cancer; 2022 May; 22(1):524. PubMed ID: 35534797
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Quantitative Prediction of Microsatellite Instability in Colorectal Cancer With Preoperative PET/CT-Based Radiomics.
    Li J; Yang Z; Xin B; Hao Y; Wang L; Song S; Xu J; Wang X
    Front Oncol; 2021; 11():702055. PubMed ID: 34367985
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Using tumor habitat-derived radiomic analysis during pretreatment
    Zhao H; Su Y; Wang Y; Lyu Z; Xu P; Gu W; Tian L; Fu P
    Cancer Imaging; 2024 Feb; 24(1):26. PubMed ID: 38342905
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Systematic review of machine learning-based radiomics approach for predicting microsatellite instability status in colorectal cancer.
    Wang Q; Xu J; Wang A; Chen Y; Wang T; Chen D; Zhang J; Brismar TB
    Radiol Med; 2023 Feb; 128(2):136-148. PubMed ID: 36648615
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Non-invasive prediction of microsatellite instability in colorectal cancer by a genetic algorithm-enhanced artificial neural network-based CT radiomics signature.
    Chen X; He L; Li Q; Liu L; Li S; Zhang Y; Liu Z; Huang Y; Mao Y; Chen X
    Eur Radiol; 2023 Jan; 33(1):11-22. PubMed ID: 35771245
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Pre-treatment CT-based radiomics nomogram for predicting microsatellite instability status in colorectal cancer.
    Pei Q; Yi X; Chen C; Pang P; Fu Y; Lei G; Chen C; Tan F; Gong G; Li Q; Zai H; Chen BT
    Eur Radiol; 2022 Jan; 32(1):714-724. PubMed ID: 34258636
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Radiomics-based prediction of microsatellite instability in colorectal cancer at initial computed tomography evaluation.
    Golia Pernicka JS; Gagniere J; Chakraborty J; Yamashita R; Nardo L; Creasy JM; Petkovska I; Do RRK; Bates DDB; Paroder V; Gonen M; Weiser MR; Simpson AL; Gollub MJ
    Abdom Radiol (NY); 2019 Nov; 44(11):3755-3763. PubMed ID: 31250180
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A different perspective on
    Vural Topuz Ö; Aksu A; Yılmaz Özgüven MB
    Rev Esp Med Nucl Imagen Mol (Engl Ed); 2023; 42(6):359-366. PubMed ID: 37088299
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of lymphovascular space invasion using a combination of tenascin-C, cox-2, and PET/CT radiomics in patients with early-stage cervical squamous cell carcinoma.
    Li X; Xu C; Yu Y; Guo Y; Sun H
    BMC Cancer; 2021 Jul; 21(1):866. PubMed ID: 34320931
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Preoperative prediction of lymph node metastasis in colorectal cancer using
    Wang Y; Zhao H; Fu P; Tian L; Su Y; Lyu Z; Gu W; Wang Y; Liu S; Wang X; Zheng H; Du J; Zhang R
    Med Phys; 2024 May; ():. PubMed ID: 38801340
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Value of pre-therapy
    Zhang J; Zhao X; Zhao Y; Zhang J; Zhang Z; Wang J; Wang Y; Dai M; Han J
    Eur J Nucl Med Mol Imaging; 2020 May; 47(5):1137-1146. PubMed ID: 31728587
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Predictive value of intratumoral-metabolic heterogeneity derived from
    Zhang L; Liu Y; Ding Y; Deng Y; Chen H; Hu F; Fan J; Lan X; Cao W
    Front Oncol; 2023; 13():1065744. PubMed ID: 37182124
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Machine Learning Model Based on PET/CT Radiomics and Clinical Characteristics Predicts Tumor Immune Profiles in Non-Small Cell Lung Cancer: A Retrospective Multicohort Study.
    Tong H; Sun J; Fang J; Zhang M; Liu H; Xia R; Zhou W; Liu K; Chen X
    Front Immunol; 2022; 13():859323. PubMed ID: 35572597
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.