BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

142 related articles for article (PubMed ID: 38001326)

  • 1. 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]  

  • 2. A Tumoral and Peritumoral CT-Based Radiomics and Machine Learning Approach to Predict the Microsatellite Instability of Rectal Carcinoma.
    Yuan H; Peng Y; Xu X; Tu S; Wei Y; Ma Y
    Cancer Manag Res; 2022; 14():2409-2418. PubMed ID: 35971393
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. The CT-based intratumoral and peritumoral machine learning radiomics analysis in predicting lymph node metastasis in rectal carcinoma.
    Yuan H; Xu X; Tu S; Chen B; Wei Y; Ma Y
    BMC Gastroenterol; 2022 Nov; 22(1):463. PubMed ID: 36384504
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Preoperative prediction of microsatellite instability status in colorectal cancer based on a multiphasic enhanced CT radiomics nomogram model.
    Bian X; Sun Q; Wang M; Dong H; Dai X; Zhang L; Fan G; Chen G
    BMC Med Imaging; 2024 Apr; 24(1):77. PubMed ID: 38566000
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Intratumoral and peritumoral CT-based radiomics for predicting the microsatellite instability in gastric cancer.
    Chen X; Zhuang Z; Pen L; Xue J; Zhu H; Zhang L; Wang D
    Abdom Radiol (NY); 2024 Feb; ():. PubMed ID: 38305796
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Development and external validation of a multiparametric MRI-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer: a retrospective multicenter study.
    Li Z; Zhang J; Zhong Q; Feng Z; Shi Y; Xu L; Zhang R; Yu F; Lv B; Yang T; Huang C; Cui F; Chen F
    Eur Radiol; 2023 Mar; 33(3):1835-1843. PubMed ID: 36282309
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Development and validation of a radiomics model based on T2WI images for preoperative prediction of microsatellite instability status in rectal cancer: Study Protocol Clinical Trial (SPIRIT Compliant).
    Huang Z; Zhang W; He D; Cui X; Tian S; Yin H; Song B
    Medicine (Baltimore); 2020 Mar; 99(10):e19428. PubMed ID: 32150094
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. A multicenter study on the preoperative prediction of gastric cancer microsatellite instability status based on computed tomography radiomics.
    Liang X; Wu Y; Liu Y; Yu D; Huang C; Li Z
    Abdom Radiol (NY); 2022 Jun; 47(6):2036-2045. PubMed ID: 35391567
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting the WHO/ISUP Grade of Clear Cell Renal Cell Carcinoma Through CT-Based Tumoral and Peritumoral Radiomics.
    Ma Y; Guan Z; Liang H; Cao H
    Front Oncol; 2022; 12():831112. PubMed ID: 35237524
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Development and validation of a combined nomogram for predicting perineural invasion status in rectal cancer via computed tomography-based radiomics.
    Liu J; Sun L; Zhao X; Lu X
    J Cancer Res Ther; 2023 Dec; 19(6):1552-1559. PubMed ID: 38156921
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A radiomics model fusing clinical features to predict microsatellite status preoperatively in colorectal cancer liver metastasis.
    Wang X; Liu Z; Yin X; Yang C; Zhang J
    BMC Gastroenterol; 2023 Sep; 23(1):308. PubMed ID: 37700238
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. MRI-based multiregional radiomics for preoperative prediction of tumor deposit and prognosis in resectable rectal cancer: a bicenter study.
    Li H; Chen XL; Liu H; Liu YS; Li ZL; Pang MH; Pu H
    Eur Radiol; 2023 Nov; 33(11):7561-7572. PubMed ID: 37160427
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiomics Analysis of Iodine-Based Material Decomposition Images With Dual-Energy Computed Tomography Imaging for Preoperatively Predicting Microsatellite Instability Status in Colorectal Cancer.
    Wu J; Zhang Q; Zhao Y; Liu Y; Chen A; Li X; Wu T; Li J; Guo Y; Liu A
    Front Oncol; 2019; 9():1250. PubMed ID: 31824843
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 8.