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 *

294 related articles for article (PubMed ID: 31993370)

  • 1. The Potential of Radiomics Nomogram in Non-invasively Prediction of Epidermal Growth Factor Receptor Mutation Status and Subtypes in Lung Adenocarcinoma.
    Zhao W; Wu Y; Xu Y; Sun Y; Gao P; Tan M; Ma W; Li C; Jin L; Hua Y; Liu J; Li M
    Front Oncol; 2019; 9():1485. PubMed ID: 31993370
    [No Abstract]   [Full Text] [Related]  

  • 2. PET/CT Radiomic Features: A Potential Biomarker for EGFR Mutation Status and Survival Outcome Prediction in NSCLC Patients Treated With TKIs.
    Yang L; Xu P; Li M; Wang M; Peng M; Zhang Y; Wu T; Chu W; Wang K; Meng H; Zhang L
    Front Oncol; 2022; 12():894323. PubMed ID: 35800046
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Can CT Radiomics Detect Acquired T790M Mutation and Predict Prognosis in Advanced Lung Adenocarcinoma With Progression After First- or Second-Generation EGFR TKIs?
    Yang X; Fang C; Li C; Gong M; Yi X; Lin H; Li K; Yu X
    Front Oncol; 2022; 12():904983. PubMed ID: 35875167
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A novel radiomic nomogram for predicting epidermal growth factor receptor mutation in peripheral lung adenocarcinoma.
    Lu X; Li M; Zhang H; Hua S; Meng F; Yang H; Li X; Cao D
    Phys Med Biol; 2020 Mar; 65(5):055012. PubMed ID: 31978901
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. A Radiomics-clinical Nomogram based on CT Radiomics to Predict Acquired T790M Mutation Status in Non-small Cell Lung Cancer Patients.
    Xiong W; Yu X; Zhou T; Huang H; Zhao Z; Wang T
    Curr Med Imaging; 2024 Mar; ():. PubMed ID: 38523520
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MRI-Based Radiomics Nomogram as a Potential Biomarker to Predict the EGFR Mutations in Exon 19 and 21 Based on Thoracic Spinal Metastases in Lung Adenocarcinoma.
    Cao R; Dong Y; Wang X; Ren M; Wang X; Zhao N; Yu T; Zhang L; Luo Y; Cui EN; Jiang X
    Acad Radiol; 2022 Mar; 29(3):e9-e17. PubMed ID: 34332860
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Value of
    Yang B; Ji H; Zhong J; Ma L; Zhong J; Dong H; Zhou C; Duan S; Zhu C; Tian J; Zhang L; Wang F; Zhu H; Lu G
    Front Oncol; 2020; 10():567160. PubMed ID: 33262942
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multiparametric MRI-Based Radiomics Approaches for Preoperative Prediction of EGFR Mutation Status in Spinal Bone Metastases in Patients with Lung Adenocarcinoma.
    Jiang X; Ren M; Shuang X; Yang H; Shi D; Lai Q; Dong Y
    J Magn Reson Imaging; 2021 Aug; 54(2):497-507. PubMed ID: 33638577
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Accurate prediction of epidermal growth factor receptor mutation status in early-stage lung adenocarcinoma, using radiomics and clinical features.
    Zhu H; Song Y; Huang Z; Zhang L; Chen Y; Tao G; She Y; Sun X; Yu H
    Asia Pac J Clin Oncol; 2022 Dec; 18(6):586-594. PubMed ID: 35098682
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Dual-energy CT-based radiomics in predicting EGFR mutation status non-invasively in lung adenocarcinoma.
    Ma JW; Jiang X; Wang YM; Jiang JM; Miao L; Qi LL; Zhang JX; Wen X; Li JW; Li M; Zhang L
    Heliyon; 2024 Jan; 10(2):e24372. PubMed ID: 38304841
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Application of radiomics captured from CT to predict the EGFR mutation status and TKIs therapeutic sensitivity of advanced lung adenocarcinoma].
    Yang CS; Chen WD; Gong GZ; Li ZJ; Qiu QT; Yin Y
    Zhonghua Zhong Liu Za Zhi; 2019 Apr; 41(4):282-287. PubMed ID: 31014053
    [No Abstract]   [Full Text] [Related]  

  • 13. Predicting EGFR mutation subtypes in lung adenocarcinoma using
    Liu Q; Sun D; Li N; Kim J; Feng D; Huang G; Wang L; Song S
    Transl Lung Cancer Res; 2020 Jun; 9(3):549-562. PubMed ID: 32676319
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting
    Zhang G; Cao Y; Zhang J; Ren J; Zhao Z; Zhang X; Li S; Deng L; Zhou J
    Am J Cancer Res; 2021; 11(2):546-560. PubMed ID: 33575086
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Development of a Nomogram Based on 3D CT Radiomics Signature to Predict the Mutation Status of EGFR Molecular Subtypes in Lung Adenocarcinoma: A Multicenter Study.
    Zhang G; Deng L; Zhang J; Cao Y; Li S; Ren J; Qian R; Peng S; Zhang X; Zhou J; Zhang Z; Kong W; Pu H
    Front Oncol; 2022; 12():889293. PubMed ID: 35574401
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Value of radiomics model based on multi-parametric magnetic resonance imaging in predicting epidermal growth factor receptor mutation status in patients with lung adenocarcinoma.
    Wang Y; Wan Q; Xia X; Hu J; Liao Y; Wang P; Peng Y; Liu H; Li X
    J Thorac Dis; 2021 Jun; 13(6):3497-3508. PubMed ID: 34277045
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comprehensive analysis of prediction of the EGFR mutation and subtypes based on the spinal metastasis from primary lung adenocarcinoma.
    Cao R; Chen H; Wang H; Wang Y; Cui EN; Jiang W
    Front Oncol; 2023; 13():1154327. PubMed ID: 37143947
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Using contrast-enhanced CT and non-contrast-enhanced CT to predict EGFR mutation status in NSCLC patients-a radiomics nomogram analysis.
    Yang X; Liu M; Ren Y; Chen H; Yu P; Wang S; Zhang R; Dai H; Wang C
    Eur Radiol; 2022 Apr; 32(4):2693-2703. PubMed ID: 34807270
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiomics signature of brain metastasis: prediction of EGFR mutation status.
    Wang G; Wang B; Wang Z; Li W; Xiu J; Liu Z; Han M
    Eur Radiol; 2021 Jul; 31(7):4538-4547. PubMed ID: 33439315
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computed Tomography-Based Radiomics Signature: A Potential Indicator of Epidermal Growth Factor Receptor Mutation in Pulmonary Adenocarcinoma Appearing as a Subsolid Nodule.
    Yang X; Dong X; Wang J; Li W; Gu Z; Gao D; Zhong N; Guan Y
    Oncologist; 2019 Nov; 24(11):e1156-e1164. PubMed ID: 30936378
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.