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 *

154 related articles for article (PubMed ID: 33117680)

  • 1. CT Radiomics in Predicting EGFR Mutation in Non-small Cell Lung Cancer: A Single Institutional Study.
    Wu S; Shen G; Mao J; Gao B
    Front Oncol; 2020; 10():542957. PubMed ID: 33117680
    [No Abstract]   [Full Text] [Related]  

  • 2. CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer.
    Wang J; Wang J; Huang X; Zhou Y; Qi J; Sun X; Nie J; Hu Z; Wang S; Hong B; Wang H
    BMC Med Imaging; 2024 Feb; 24(1):45. PubMed ID: 38360550
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of VEGF and EGFR Expression in Peripheral Lung Cancer Based on the Radiomics Model of Spectral CT Enhanced Images.
    Wu L; Li J; Ruan X; Ren J; Ping X; Chen B
    Int J Gen Med; 2022; 15():6725-6738. PubMed ID: 36039307
    [TBL] [Abstract][Full Text] [Related]  

  • 4. PET/CT Based EGFR Mutation Status Classification of NSCLC Using Deep Learning Features and Radiomics Features.
    Huang W; Wang J; Wang H; Zhang Y; Zhao F; Li K; Su L; Kang F; Cao X
    Front Pharmacol; 2022; 13():898529. PubMed ID: 35571081
    [No Abstract]   [Full Text] [Related]  

  • 5. Radiomics Prediction of EGFR Status in Lung Cancer-Our Experience in Using Multiple Feature Extractors and The Cancer Imaging Archive Data.
    Lu L; Sun SH; Yang H; E L; Guo P; Schwartz LH; Zhao B
    Tomography; 2020 Jun; 6(2):223-230. PubMed ID: 32548300
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Identifying EGFR mutations in lung adenocarcinoma by noninvasive imaging using radiomics features and random forest modeling.
    Jia TY; Xiong JF; Li XY; Yu W; Xu ZY; Cai XW; Ma JC; Ren YC; Larsson R; Zhang J; Zhao J; Fu XL
    Eur Radiol; 2019 Sep; 29(9):4742-4750. PubMed ID: 30778717
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiomics signature: A potential and incremental predictor for EGFR mutation status in NSCLC patients, comparison with CT morphology.
    Tu W; Sun G; Fan L; Wang Y; Xia Y; Guan Y; Li Q; Zhang D; Liu S; Li Z
    Lung Cancer; 2019 Jun; 132():28-35. PubMed ID: 31097090
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Radiomics in predicting tumor molecular marker P63 for non-small cell lung cancer.
    Gu Q; Feng Z; Hu X; Ma M; Mustafa Jumbe M; Yan H; Liu P; Rong P
    Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2019 Sep; 44(9):1055-1062. PubMed ID: 31645497
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting the Efficacy of SBRT for Lung Cancer with
    Chen K; Hou L; Chen M; Li S; Shi Y; Raynor WY; Yang H
    Life (Basel); 2023 Mar; 13(4):. PubMed ID: 37109413
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.
    Gu Q; Feng Z; Liang Q; Li M; Deng J; Ma M; Wang W; Liu J; Liu P; Rong P
    Eur J Radiol; 2019 Sep; 118():32-37. PubMed ID: 31439255
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Radiomics Study for Predicting the Expression of PD-L1 and Tumor Mutation Burden in Non-Small Cell Lung Cancer Based on CT Images and Clinicopathological Features.
    Wen Q; Yang Z; Dai H; Feng A; Li Q
    Front Oncol; 2021; 11():620246. PubMed ID: 34422625
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [The value of CT radiomics in the prediction of EGFR mutation in lung cancer].
    Yu YX; Wang XM; Shi C; Hu S; Hu CH
    Zhonghua Yi Xue Za Zhi; 2020 Mar; 100(9):690-695. PubMed ID: 32187913
    [No Abstract]   [Full Text] [Related]  

  • 14. 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]  

  • 15. Clinical and radiological predictors of epidermal growth factor receptor mutation in nonsmall cell lung cancer.
    Dang Y; Wang R; Qian K; Lu J; Zhang H; Zhang Y
    J Appl Clin Med Phys; 2021 Jan; 22(1):271-280. PubMed ID: 33314737
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomics Signature as a Predictive Factor for EGFR Mutations in Advanced Lung Adenocarcinoma.
    Hong D; Xu K; Zhang L; Wan X; Guo Y
    Front Oncol; 2020; 10():28. PubMed ID: 32082997
    [No Abstract]   [Full Text] [Related]  

  • 17. CT Radiomics Predict EGFR-T790M Resistance Mutation in Advanced Non-Small Cell Lung Cancer Patients After Progression on First-line EGFR-TKI.
    Tang X; Li Y; Shen LT; Yan WF; Qian WL; Yang ZG
    Acad Radiol; 2023 Nov; 30(11):2574-2587. PubMed ID: 36941156
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Deep CNN Model Using CT Radiomics Feature Mapping Recognizes EGFR Gene Mutation Status of Lung Adenocarcinoma.
    Zhang B; Qi S; Pan X; Li C; Yao Y; Qian W; Guan Y
    Front Oncol; 2020; 10():598721. PubMed ID: 33643902
    [TBL] [Abstract][Full Text] [Related]  

  • 20. CT-based peritumoral radiomics signatures to predict early recurrence in hepatocellular carcinoma after curative tumor resection or ablation.
    Shan QY; Hu HT; Feng ST; Peng ZP; Chen SL; Zhou Q; Li X; Xie XY; Lu MD; Wang W; Kuang M
    Cancer Imaging; 2019 Feb; 19(1):11. PubMed ID: 30813956
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.