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 *

230 related articles for article (PubMed ID: 32779023)

  • 1. Preoperative prediction of perineural invasion and KRAS mutation in colon cancer using machine learning.
    Li Y; Eresen A; Shangguan J; Yang J; Benson AB; Yaghmai V; Zhang Z
    J Cancer Res Clin Oncol; 2020 Dec; 146(12):3165-3174. PubMed ID: 32779023
    [TBL] [Abstract][Full Text] [Related]  

  • 2. CT texture analysis for the prediction of KRAS mutation status in colorectal cancer via a machine learning approach.
    Taguchi N; Oda S; Yokota Y; Yamamura S; Imuta M; Tsuchigame T; Nagayama Y; Kidoh M; Nakaura T; Shiraishi S; Funama Y; Shinriki S; Miyamoto Y; Baba H; Yamashita Y
    Eur J Radiol; 2019 Sep; 118():38-43. PubMed ID: 31439256
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Can CT-based radiomics signature predict KRAS/NRAS/BRAF mutations in colorectal cancer?
    Yang L; Dong D; Fang M; Zhu Y; Zang Y; Liu Z; Zhang H; Ying J; Zhao X; Tian J
    Eur Radiol; 2018 May; 28(5):2058-2067. PubMed ID: 29335867
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.
    Shiri I; Maleki H; Hajianfar G; Abdollahi H; Ashrafinia S; Hatt M; Zaidi H; Oveisi M; Rahmim A
    Mol Imaging Biol; 2020 Aug; 22(4):1132-1148. PubMed ID: 32185618
    [TBL] [Abstract][Full Text] [Related]  

  • 5. CT Texture Analysis: A Potential Biomarker for Evaluating KRAS Mutational Status in Colorectal Cancer.
    Cao J; Wang GR; Wang ZW; Jin ZY
    Chin Med Sci J; 2020 Dec; 35(4):306-314. PubMed ID: 33413746
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Preoperative assessment of lymph node metastasis in Colon Cancer patients using machine learning: a pilot study.
    Eresen A; Li Y; Yang J; Shangguan J; Velichko Y; Yaghmai V; Benson AB; Zhang Z
    Cancer Imaging; 2020 Apr; 20(1):30. PubMed ID: 32334635
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Construction of prediction model for KRAS mutation status of colorectal cancer based on CT radiomics.
    Cao Y; Zhang J; Huang L; Zhao Z; Zhang G; Ren J; Li H; Zhang H; Guo B; Wang Z; Xing Y; Zhou J
    Jpn J Radiol; 2023 Nov; 41(11):1236-1246. PubMed ID: 37311935
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Preoperative prediction of KRAS mutation status in colorectal cancer using a CT-based radiomics nomogram.
    Xue T; Peng H; Chen Q; Li M; Duan S; Feng F
    Br J Radiol; 2022 Jun; 95(1134):20211014. PubMed ID: 35312376
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Preoperative prediction of lymphovascular and perineural invasion in gastric cancer using spectral computed tomography imaging and machine learning.
    Ge HT; Chen JW; Wang LL; Zou TX; Zheng B; Liu YF; Xue YJ; Lin WW
    World J Gastroenterol; 2024 Feb; 30(6):542-555. PubMed ID: 38463023
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Noninvasive KRAS mutation estimation in colorectal cancer using a deep learning method based on CT imaging.
    He K; Liu X; Li M; Li X; Yang H; Zhang H
    BMC Med Imaging; 2020 Jun; 20(1):59. PubMed ID: 32487083
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Perineural invasion is associated with poor prognosis of colorectal cancer: a retrospective cohort study.
    Cao Y; Deng S; Yan L; Gu J; Li J; Wu K; Cai K
    Int J Colorectal Dis; 2020 Jun; 35(6):1067-1075. PubMed ID: 32179991
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A multicenter study: predicting KRAS mutation and prognosis in colorectal cancer through a CT-based radiomics nomogram.
    Li M; Yuan Y; Zhou H; Feng F; Xu G
    Abdom Radiol (NY); 2024 Jun; 49(6):1816-1828. PubMed ID: 38393357
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine Learning-Based Radiomics Signatures for EGFR and KRAS Mutations Prediction in Non-Small-Cell Lung Cancer.
    Le NQK; Kha QH; Nguyen VH; Chen YC; Cheng SJ; Chen CY
    Int J Mol Sci; 2021 Aug; 22(17):. PubMed ID: 34502160
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Analysis of KRAS Mutation Status Prediction Model for Colorectal Cancer Based on Medical Imaging.
    Ren Z; Che J; Wu XW; Xia J
    Comput Math Methods Med; 2021; 2021():3953442. PubMed ID: 34976107
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development and validation of a MRI-based radiomics signature for prediction of KRAS mutation in rectal cancer.
    Cui Y; Liu H; Ren J; Du X; Xin L; Li D; Yang X; Wang D
    Eur Radiol; 2020 Apr; 30(4):1948-1958. PubMed ID: 31942672
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Tubular gastric adenocarcinoma: machine learning-based CT texture analysis for predicting lymphovascular and perineural invasion.
    Yardımcı AH; Koçak B; Turan Bektaş C; Sel İ; Yarıkkaya E; Dursun N; Bektaş H; Usul Afşar Ç; Gürsu RU; Kılıçkesmez Ö
    Diagn Interv Radiol; 2020 Nov; 26(6):515-522. PubMed ID: 32990246
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Combining perineural invasion with staging improve the prognostic accuracy in colorectal cancer: a retrospective cohort study.
    Zhang B; Lin Y; Wang C; Chen Z; Huang T; Chen H; Wang G; Lan P; He X; He X
    BMC Cancer; 2023 Jul; 23(1):675. PubMed ID: 37464346
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The prognostic and predictive significance of perineural invasion in stage I to III colon cancer: a propensity score matching-based analysis.
    Chu CH; Lai IL; Jong BK; Chiang SF; Tsai WS; Hsieh PS; Yeh CY; You JF
    World J Surg Oncol; 2024 May; 22(1):129. PubMed ID: 38734718
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Current status and quality of radiomic studies for predicting KRAS mutations in colorectal cancer patients: A systematic review and meta‑analysis.
    Jia LL; Zhao JX; Zhao LP; Tian JH; Huang G
    Eur J Radiol; 2023 Jan; 158():110640. PubMed ID: 36525703
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.