BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 34844171)

  • 1. Computed tomography-based radiomics for predicting lymphovascular invasion in rectal cancer.
    Li M; Jin Y; Rui J; Zhang Y; Zhao Y; Huang C; Liu S; Song B
    Eur J Radiol; 2022 Jan; 146():110065. PubMed ID: 34844171
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiomics for predicting perineural invasion status in rectal cancer.
    Li M; Jin YM; Zhang YC; Zhao YL; Huang CC; Liu SM; Song B
    World J Gastroenterol; 2021 Sep; 27(33):5610-5621. PubMed ID: 34588755
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prognostic value of CT radiomics in evaluating lymphovascular invasion in rectal cancer: Diagnostic performance based on different volumes of interest.
    Ge YX; Xu WB; Wang Z; Zhang JQ; Zhou XY; Duan SF; Hu SD; Fei BJ
    J Xray Sci Technol; 2021; 29(4):663-674. PubMed ID: 34024807
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An endorectal ultrasound-based radiomics signature for preoperative prediction of lymphovascular invasion of rectal cancer.
    Wu YQ; Gao RZ; Lin P; Wen R; Li HY; Mou MY; Chen FH; Huang F; Zhou WJ; Yang H; He Y; Wu J
    BMC Med Imaging; 2022 May; 22(1):84. PubMed ID: 35538520
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Preoperative detection of lymphovascular invasion in rectal cancer using intravoxel incoherent motion imaging based on radiomics.
    Wong C; Liu T; Zhang C; Li M; Zhang H; Wang Q; Fu Y
    Med Phys; 2024 Jan; 51(1):179-191. PubMed ID: 37929807
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma.
    Nie P; Yang G; Wang N; Yan L; Miao W; Duan Y; Wang Y; Gong A; Zhao Y; Wu J; Zhang C; Wang M; Cui J; Yu M; Li D; Sun Y; Wang Y; Wang Z
    Eur J Nucl Med Mol Imaging; 2021 Jan; 48(1):217-230. PubMed ID: 32451603
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CT-based radiomics nomogram for the pre-operative prediction of lymphovascular invasion in colorectal cancer: a multicenter study.
    Li M; Gu H; Xue T; Peng H; Chen Q; Zhu X; Duan S; Feng F
    Br J Radiol; 2023 Jan; 96(1141):20220568. PubMed ID: 36318241
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiomics for differentiating tumor deposits from lymph node metastasis in rectal cancer.
    Zhang YC; Li M; Jin YM; Xu JX; Huang CC; Song B
    World J Gastroenterol; 2022 Aug; 28(29):3960-3970. PubMed ID: 36157536
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Computed Tomography-Based Radiomics for Preoperative Prediction of Tumor Deposits in Rectal Cancer.
    Jin Y; Li M; Zhao Y; Huang C; Liu S; Liu S; Wu M; Song B
    Front Oncol; 2021; 11():710248. PubMed ID: 34646765
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Biparametric magnetic resonance imaging-based radiomics features for prediction of lymphovascular invasion in rectal cancer.
    Tong P; Sun D; Chen G; Ni J; Li Y
    BMC Cancer; 2023 Jan; 23(1):61. PubMed ID: 36650498
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Radiomics analysis of contrast-enhanced CT predicts lymphovascular invasion and disease outcome in gastric cancer: a preliminary study.
    Chen X; Yang Z; Yang J; Liao Y; Pang P; Fan W; Chen X
    Cancer Imaging; 2020 Apr; 20(1):24. PubMed ID: 32248822
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Contrast-Enhanced CT-Based Radiomics Analysis in Predicting Lymphovascular Invasion in Esophageal Squamous Cell Carcinoma.
    Li Y; Yu M; Wang G; Yang L; Ma C; Wang M; Yue M; Cong M; Ren J; Shi G
    Front Oncol; 2021; 11():644165. PubMed ID: 34055613
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine learning analysis for the noninvasive prediction of lymphovascular invasion in gastric cancer using PET/CT and enhanced CT-based radiomics and clinical variables.
    Fan L; Li J; Zhang H; Yin H; Zhang R; Zhang J; Chen X
    Abdom Radiol (NY); 2022 Apr; 47(4):1209-1222. PubMed ID: 35089370
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A clinical-radiomics model incorporating T2-weighted and diffusion-weighted magnetic resonance images predicts the existence of lymphovascular invasion / perineural invasion in patients with colorectal cancer.
    Zhang K; Ren Y; Xu S; Lu W; Xie S; Qu J; Wang X; Shen B; Pang P; Cai X; Sun J
    Med Phys; 2021 Sep; 48(9):4872-4882. PubMed ID: 34042185
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Computed tomography-based radiomics analysis to predict lymphovascular invasion in esophageal squamous cell carcinoma.
    Peng H; Yang Q; Xue T; Chen Q; Li M; Duan S; Cai B; Feng F
    Br J Radiol; 2022 Feb; 95(1130):20210918. PubMed ID: 34908477
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Whole-liver enhanced CT radiomics analysis to predict metachronous liver metastases after rectal cancer surgery.
    Liang M; Ma X; Wang L; Li D; Wang S; Zhang H; Zhao X
    Cancer Imaging; 2022 Sep; 22(1):50. PubMed ID: 36089623
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Radiomics of rectal cancer for predicting distant metastasis and overall survival.
    Li M; Zhu YZ; Zhang YC; Yue YF; Yu HP; Song B
    World J Gastroenterol; 2020 Sep; 26(33):5008-5021. PubMed ID: 32952346
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiomics analysis of multicenter CT images for discriminating mucinous adenocarcinoma from nomucinous adenocarcinoma in rectal cancer and comparison with conventional CT values.
    Ge YX; Li J; Zhang JQ; Duan SF; Liu YK; Hu SD
    J Xray Sci Technol; 2020; 28(2):285-297. PubMed ID: 32116286
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computed tomography-based radiomics for identifying pulmonary cryptococcosis mimicking lung cancer.
    Zhang Y; Chu Z; Yu J; Chen X; Liu J; Xu J; Huang C; Peng L
    Med Phys; 2022 Sep; 49(9):5943-5952. PubMed ID: 35678964
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.