BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

199 related articles for article (PubMed ID: 31166787)

  • 1. Non-invasive classification of non-small cell lung cancer: a comparison between random forest models utilising radiomic and semantic features.
    Bashir U; Kawa B; Siddique M; Mak SM; Nair A; Mclean E; Bille A; Goh V; Cook G
    Br J Radiol; 2019 Jul; 92(1099):20190159. PubMed ID: 31166787
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiomics for Classification of Lung Cancer Histological Subtypes Based on Nonenhanced Computed Tomography.
    E L; Lu L; Li L; Yang H; Schwartz LH; Zhao B
    Acad Radiol; 2019 Sep; 26(9):1245-1252. PubMed ID: 30502076
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Ultrasound-based radiomics machine learning models for diagnosing cervical lymph node metastasis in patients with non-small cell lung cancer: a multicentre study.
    Deng Z; Liu X; Wu R; Yan H; Gou L; Hu W; Wan J; Song C; Chen J; Ma D; Zhou H; Tian D
    BMC Cancer; 2024 Apr; 24(1):536. PubMed ID: 38678211
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Classification of Histological Types and Stages in Non-small Cell Lung Cancer Using Radiomic Features Based on CT Images.
    Lin J; Yu Y; Zhang X; Wang Z; Li S
    J Digit Imaging; 2023 Jun; 36(3):1029-1037. PubMed ID: 36828962
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer.
    Zhu X; Dong D; Chen Z; Fang M; Zhang L; Song J; Yu D; Zang Y; Liu Z; Shi J; Tian J
    Eur Radiol; 2018 Jul; 28(7):2772-2778. PubMed ID: 29450713
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development of a predictive radiomics model for lymph node metastases in pre-surgical CT-based stage IA non-small cell lung cancer.
    Cong M; Feng H; Ren JL; Xu Q; Cong L; Hou Z; Wang YY; Shi G
    Lung Cancer; 2020 Jan; 139():73-79. PubMed ID: 31743889
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Radiomics feature analysis and model research for predicting histopathological subtypes of non-small cell lung cancer on CT images: A multi-dataset study.
    Song F; Song X; Feng Y; Fan G; Sun Y; Zhang P; Li J; Liu F; Zhang G
    Med Phys; 2023 Jul; 50(7):4351-4365. PubMed ID: 36682051
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC.
    Coroller TP; Agrawal V; Huynh E; Narayan V; Lee SW; Mak RH; Aerts HJWL
    J Thorac Oncol; 2017 Mar; 12(3):467-476. PubMed ID: 27903462
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Diagnosis of Invasive Lung Adenocarcinoma Based on Chest CT Radiomic Features of Part-Solid Pulmonary Nodules: A Multicenter Study.
    Wu G; Woodruff HC; Shen J; Refaee T; Sanduleanu S; Ibrahim A; Leijenaar RTH; Wang R; Xiong J; Bian J; Wu J; Lambin P
    Radiology; 2020 Nov; 297(2):451-458. PubMed ID: 32840472
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans.
    Khorrami M; Bera K; Thawani R; Rajiah P; Gupta A; Fu P; Linden P; Pennell N; Jacono F; Gilkeson RC; Velcheti V; Madabhushi A
    Eur J Cancer; 2021 May; 148():146-158. PubMed ID: 33743483
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classification of early stage non-small cell lung cancers on computed tomographic images into histological types using radiomic features: interobserver delineation variability analysis.
    Haga A; Takahashi W; Aoki S; Nawa K; Yamashita H; Abe O; Nakagawa K
    Radiol Phys Technol; 2018 Mar; 11(1):27-35. PubMed ID: 29209915
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Elaboration of a multimodal MRI-based radiomics signature for the preoperative prediction of the histological subtype in patients with non-small-cell lung cancer.
    Tang X; Xu X; Han Z; Bai G; Wang H; Liu Y; Du P; Liang Z; Zhang J; Lu H; Yin H
    Biomed Eng Online; 2020 Jan; 19(1):5. PubMed ID: 31964407
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparison of prediction models with radiological semantic features and radiomics in lung cancer diagnosis of the pulmonary nodules: a case-control study.
    Wu W; Pierce LA; Zhang Y; Pipavath SNJ; Randolph TW; Lastwika KJ; Lampe PD; Houghton AM; Liu H; Xia L; Kinahan PE
    Eur Radiol; 2019 Nov; 29(11):6100-6108. PubMed ID: 31115618
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer.
    Yang B; Zhou L; Zhong J; Lv T; Li A; Ma L; Zhong J; Yin S; Huang L; Zhou C; Li X; Ge YQ; Tao X; Zhang L; Son Y; Lu G
    Respir Res; 2021 Jun; 22(1):189. PubMed ID: 34183009
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine learning for differentiating lung squamous cell cancer from adenocarcinoma using Clinical-Metabolic characteristics and 18F-FDG PET/CT radiomics.
    Zhang Y; Liu H; Chang C; Yin Y; Wang R
    PLoS One; 2024; 19(4):e0300170. PubMed ID: 38568892
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Radiomic Detection of EGFR Mutations in NSCLC.
    Rossi G; Barabino E; Fedeli A; Ficarra G; Coco S; Russo A; Adamo V; Buemi F; Zullo L; Dono M; De Luca G; Longo L; Dal Bello MG; Tagliamento M; Alama A; Cittadini G; Pronzato P; Genova C
    Cancer Res; 2021 Feb; 81(3):724-731. PubMed ID: 33148663
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evaluating Histological Subtypes Classification of Primary Lung Cancers on Unenhanced Computed Tomography Based on Random Forest Model.
    Huang J; He W; Xu H; Yang S; Dai J; Guo W; Zeng M
    J Healthc Eng; 2023; 2023():8964676. PubMed ID: 36794098
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas.
    Beig N; Khorrami M; Alilou M; Prasanna P; Braman N; Orooji M; Rakshit S; Bera K; Rajiah P; Ginsberg J; Donatelli C; Thawani R; Yang M; Jacono F; Tiwari P; Velcheti V; Gilkeson R; Linden P; Madabhushi A
    Radiology; 2019 Mar; 290(3):783-792. PubMed ID: 30561278
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Impact of feature selection methods and subgroup factors on prognostic analysis with CT-based radiomics in non-small cell lung cancer patients.
    Sugai Y; Kadoya N; Tanaka S; Tanabe S; Umeda M; Yamamoto T; Takeda K; Dobashi S; Ohashi H; Takeda K; Jingu K
    Radiat Oncol; 2021 Apr; 16(1):80. PubMed ID: 33931085
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.