BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

158 related articles for article (PubMed ID: 38214839)

  • 1. Computer-aided diagnosis of distal metastasis in non-small cell lung cancer by low-dose CT based radiomics and deep learning signatures.
    Song X; Duan X; He X; Wang Y; Li K; Deng B; Chen X; Wang Y; Li M; Shan H
    Radiol Med; 2024 Feb; 129(2):239-251. PubMed ID: 38214839
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development and validation of a deep learning signature for predicting lymph node metastasis in lung adenocarcinoma: comparison with radiomics signature and clinical-semantic model.
    Ma X; Xia L; Chen J; Wan W; Zhou W
    Eur Radiol; 2023 Mar; 33(3):1949-1962. PubMed ID: 36169691
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Ct-based subregional radiomics using hand-crafted and deep learning features for prediction of therapeutic response to anti-PD1 therapy in NSCLC.
    Hu Y; Jiang T; Wang H; Song J; Yang Z; Wang Y; Su J; Jin M; Chang S; Deng K; Jiang W
    Phys Med; 2024 Jan; 117():103200. PubMed ID: 38160516
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting N2 lymph node metastasis in presurgical stage I-II non-small cell lung cancer using multiview radiomics and deep learning method.
    Zhang H; Liao M; Guo Q; Chen J; Wang S; Liu S; Xiao F
    Med Phys; 2023 Apr; 50(4):2049-2060. PubMed ID: 36563341
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Radiomics Signature in Preoperative Predicting Degree of Tumor Differentiation in Patients with Non-small Cell Lung Cancer.
    Chen X; Fang M; Dong D; Wei X; Liu L; Xu X; Jiang X; Tian J; Liu Z
    Acad Radiol; 2018 Dec; 25(12):1548-1555. PubMed ID: 29572049
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model.
    Gong J; Wang T; Wang Z; Chu X; Hu T; Li M; Peng W; Feng F; Tong T; Gu Y
    Cancer Imaging; 2024 Jan; 24(1):1. PubMed ID: 38167564
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
    Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
    EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Development and Validation of a CT-Based Signature for the Prediction of Distant Metastasis Before Treatment of Non-Small Cell Lung Cancer.
    Tao J; Lv R; Liang C; Fang J; Liu D; Lan X; Huang H; Zhang J
    Acad Radiol; 2022 Feb; 29 Suppl 2():S62-S72. PubMed ID: 33402298
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A PET/CT radiomics model for predicting distant metastasis in early-stage non-small cell lung cancer patients treated with stereotactic body radiotherapy: a multicentric study.
    Yu L; Zhang Z; Yi H; Wang J; Li J; Wang X; Bai H; Ge H; Zheng X; Ni J; Qi H; Guan Y; Xu W; Zhu Z; Xing L; Dekker A; Wee L; Traverso A; Ye Z; Yuan Z
    Radiat Oncol; 2024 Jan; 19(1):10. PubMed ID: 38254106
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study.
    Hosny A; Parmar C; Coroller TP; Grossmann P; Zeleznik R; Kumar A; Bussink J; Gillies RJ; Mak RH; Aerts HJWL
    PLoS Med; 2018 Nov; 15(11):e1002711. PubMed ID: 30500819
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Radiomics for Survival Risk Stratification of Clinical and Pathologic Stage IA Pure-Solid Non-Small Cell Lung Cancer.
    Wang T; She Y; Yang Y; Liu X; Chen S; Zhong Y; Deng J; Zhao M; Sun X; Xie D; Chen C
    Radiology; 2022 Feb; 302(2):425-434. PubMed ID: 34726531
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Hybrid deep multi-task learning radiomics approach for predicting EGFR mutation status of non-small cell lung cancer in CT images.
    Gong J; Fu F; Ma X; Wang T; Ma X; You C; Zhang Y; Peng W; Chen H; Gu Y
    Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37972417
    [No Abstract]   [Full Text] [Related]  

  • 14. 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]  

  • 15. Development and evaluation of a venous computed tomography radiomics model to predict lymph node metastasis from non-small cell lung cancer.
    Cong M; Yao H; Liu H; Huang L; Shi G
    Medicine (Baltimore); 2020 May; 99(18):e20074. PubMed ID: 32358390
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of Non-Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics.
    Dercle L; Fronheiser M; Lu L; Du S; Hayes W; Leung DK; Roy A; Wilkerson J; Guo P; Fojo AT; Schwartz LH; Zhao B
    Clin Cancer Res; 2020 May; 26(9):2151-2162. PubMed ID: 32198149
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CT-based intratumoral and peritumoral deep transfer learning features prediction of lymph node metastasis in non-small cell lung cancer.
    Lu T; Ma J; Zou J; Jiang C; Li Y; Han J
    J Xray Sci Technol; 2024; 32(3):597-609. PubMed ID: 38578874
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Application of a Radiomics Model for Preding Lymph Node Metastasis in Non-small Cell Lung Cancer].
    Zhu J; Xu WG; Xiao H; Zhou Y
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2019 May; 50(3):373-378. PubMed ID: 31631606
    [TBL] [Abstract][Full Text] [Related]  

  • 19. CT-based radiomics signatures can predict the tumor response of non-small cell lung cancer patients treated with first-line chemotherapy and targeted therapy.
    Yang F; Zhang J; Zhou L; Xia W; Zhang R; Wei H; Feng J; Zhao X; Jian J; Gao X; Yuan S
    Eur Radiol; 2022 Mar; 32(3):1538-1547. PubMed ID: 34564744
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.