BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

161 related articles for article (PubMed ID: 36338735)

  • 1. Predicting anaplastic lymphoma kinase rearrangement status in patients with non-small cell lung cancer using a machine learning algorithm that combines clinical features and CT images.
    Hao P; Deng BY; Huang CT; Xu J; Zhou F; Liu ZX; Zhou W; Xu YK
    Front Oncol; 2022; 12():994285. PubMed ID: 36338735
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Machine Learning Model Based on PET/CT Radiomics and Clinical Characteristics Predicts ALK Rearrangement Status in Lung Adenocarcinoma.
    Chang C; Sun X; Wang G; Yu H; Zhao W; Ge Y; Duan S; Qian X; Wang R; Lei B; Wang L; Liu L; Ruan M; Yan H; Liu C; Chen J; Xie W
    Front Oncol; 2021; 11():603882. PubMed ID: 33738250
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Clinical, Conventional CT and Radiomic Feature-Based Machine Learning Models for Predicting ALK Rearrangement Status in Lung Adenocarcinoma Patients.
    Song L; Zhu Z; Mao L; Li X; Han W; Du H; Wu H; Song W; Jin Z
    Front Oncol; 2020; 10():369. PubMed ID: 32266148
    [No Abstract]   [Full Text] [Related]  

  • 4. CT-Based Radiomic Signature as a Prognostic Factor in Stage IV
    Li H; Zhang R; Wang S; Fang M; Zhu Y; Hu Z; Dong D; Shi J; Tian J
    Front Oncol; 2020; 10():57. PubMed ID: 32133282
    [No Abstract]   [Full Text] [Related]  

  • 5. The deep learning model combining CT image and clinicopathological information for predicting ALK fusion status and response to ALK-TKI therapy in non-small cell lung cancer patients.
    Song Z; Liu T; Shi L; Yu Z; Shen Q; Xu M; Huang Z; Cai Z; Wang W; Xu C; Sun J; Chen M
    Eur J Nucl Med Mol Imaging; 2021 Feb; 48(2):361-371. PubMed ID: 32794105
    [TBL] [Abstract][Full Text] [Related]  

  • 6. IMPORTANCE of PRETREATMENT 18F-FDG PET/CT TEXTURE ANALYSIS in PREDICTING EGFR and ALK MUTATION in PATIENTS with NON-SMALL CELL LUNG CANCER.
    Agüloğlu N; Aksu A; Akyol M; Katgı N; Doksöz TÇ
    Nuklearmedizin; 2022 Dec; 61(6):433-439. PubMed ID: 35977671
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Evaluating Solid Lung Adenocarcinoma Anaplastic Lymphoma Kinase Gene Rearrangement Using Noninvasive Radiomics Biomarkers.
    Ma DN; Gao XY; Dan YB; Zhang AN; Wang WJ; Yang G; Zhu HZ
    Onco Targets Ther; 2020; 13():6927-6935. PubMed ID: 32764984
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Assessment of a Radiomic Signature Developed in a General NSCLC Cohort for Predicting Overall Survival of ALK-Positive Patients With Different Treatment Types.
    Huang L; Chen J; Hu W; Xu X; Liu D; Wen J; Lu J; Cao J; Zhang J; Gu Y; Wang J; Fan M
    Clin Lung Cancer; 2019 Nov; 20(6):e638-e651. PubMed ID: 31375452
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Radiomics study for predicting the expression of PD-L1 in non-small cell lung cancer based on CT images and clinicopathologic features.
    Sun Z; Hu S; Ge Y; Wang J; Duan S; Song J; Hu C; Li Y
    J Xray Sci Technol; 2020; 28(3):449-459. PubMed ID: 32176676
    [TBL] [Abstract][Full Text] [Related]  

  • 10. CT radiomics-based prediction of anaplastic lymphoma kinase and epidermal growth factor receptor mutations in lung adenocarcinoma.
    Choe J; Lee SM; Kim W; Do KH; Kim S; Choi S; Seo JB
    Eur J Radiol; 2021 Jun; 139():109710. PubMed ID: 33862316
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Individualized nomogram for predicting ALK rearrangement status in lung adenocarcinoma patients.
    Song L; Zhu Z; Wu H; Han W; Cheng X; Li J; Du H; Lei J; Sui X; Song W; Jin ZY
    Eur Radiol; 2021 Apr; 31(4):2034-2047. PubMed ID: 33146791
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Predicting EGFR mutation, ALK rearrangement, and uncommon EGFR mutation in NSCLC patients by driverless artificial intelligence: a cohort study.
    Tan X; Li Y; Wang S; Xia H; Meng R; Xu J; Duan Y; Li Y; Yang G; Ma Y; Jin Y
    Respir Res; 2022 May; 23(1):132. PubMed ID: 35624472
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Analysis of Cross-Combinations of Feature Selection and Machine-Learning Classification Methods Based on [
    Gómez OV; Herraiz JL; Udías JM; Haug A; Papp L; Cioni D; Neri E
    Cancers (Basel); 2022 Jun; 14(12):. PubMed ID: 35740588
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Optimizing the radiomics-machine-learning model based on non-contrast enhanced CT for the simplified risk categorization of thymic epithelial tumors: A large cohort retrospective study.
    Feng XL; Wang SZ; Chen HH; Huang YX; Xin YK; Zhang T; Cheng DL; Mao L; Li XL; Liu CX; Hu YC; Wang W; Cui GB; Nan HY
    Lung Cancer; 2022 Apr; 166():150-160. PubMed ID: 35287067
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging.
    Sha X; Gong G; Qiu Q; Duan J; Li D; Yin Y
    BMC Med Imaging; 2020 Feb; 20(1):12. PubMed ID: 32024469
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Application of machine learning model to predict osteoporosis based on abdominal computed tomography images of the psoas muscle: a retrospective study.
    Huang CB; Hu JS; Tan K; Zhang W; Xu TH; Yang L
    BMC Geriatr; 2022 Oct; 22(1):796. PubMed ID: 36229793
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Pretreatment Thoracic CT Radiomic Features to Predict Brain Metastases in Patients With
    Wang H; Chen YZ; Li WH; Han Y; Li Q; Ye Z
    Front Genet; 2022; 13():772090. PubMed ID: 35281837
    [No Abstract]   [Full Text] [Related]  

  • 19. 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]  

  • 20. Prediction of TTF-1 expression in non-small-cell lung cancer using machine learning-based radiomics.
    Zhang R; Huo X; Wang Q; Zhang J; Duan S; Zhang Q; Zhang S
    J Cancer Res Clin Oncol; 2023 Jul; 149(8):4547-4554. PubMed ID: 36151427
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.