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 *

266 related articles for article (PubMed ID: 34976790)

  • 1. Maximum Standardized Uptake Value of
    Niu R; Gao J; Shao X; Wang J; Jiang Z; Shi Y; Zhang F; Wang Y; Shao X
    Front Oncol; 2021; 11():727094. PubMed ID: 34976790
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Value of
    Shao X; Niu R; Shao X; Jiang Z; Wang Y
    EJNMMI Res; 2020 Jul; 10(1):80. PubMed ID: 32661639
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Establishment and verification of a prediction model based on clinical characteristics and positron emission tomography/computed tomography (PET/CT) parameters for distinguishing malignant from benign ground-glass nodules.
    Niu R; Shao X; Shao X; Jiang Z; Wang J; Wang Y
    Quant Imaging Med Surg; 2021 May; 11(5):1710-1722. PubMed ID: 33936959
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A semiautomated radiomics model based on multimodal dual-layer spectral CT for preoperative discrimination of the invasiveness of pulmonary ground-glass nodules.
    Wang Y; Chen H; Chen Y; Zhong Z; Huang H; Sun P; Zhang X; Wan Y; Li L; Ye T; Pan F; Yang L
    J Thorac Dis; 2023 May; 15(5):2505-2516. PubMed ID: 37324063
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Invasive Prediction of Ground Glass Nodule Based on Clinical Characteristics and Radiomics Feature.
    Zheng H; Zhang H; Wang S; Xiao F; Liao M
    Front Genet; 2021; 12():783391. PubMed ID: 35069686
    [No Abstract]   [Full Text] [Related]  

  • 6. Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction.
    Sun Y; Li C; Jin L; Gao P; Zhao W; Ma W; Tan M; Wu W; Duan S; Shan Y; Li M
    Eur Radiol; 2020 Jul; 30(7):3650-3659. PubMed ID: 32162003
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Differentiation between malignancy and inflammation in pulmonary ground-glass nodules: The feasibility of integrated (18)F-FDG PET/CT.
    Chun EJ; Lee HJ; Kang WJ; Kim KG; Goo JM; Park CM; Lee CH
    Lung Cancer; 2009 Aug; 65(2):180-6. PubMed ID: 19155090
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. CT radiomics analysis of lung cancers: Differentiation of squamous cell carcinoma from adenocarcinoma, a correlative study with FDG uptake.
    Tomori Y; Yamashiro T; Tomita H; Tsubakimoto M; Ishigami K; Atsumi E; Murayama S
    Eur J Radiol; 2020 Jul; 128():109032. PubMed ID: 32361604
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma.
    Nie P; Yang G; Wang N; Yan L; Miao W; Duan Y; Wang Y; Gong A; Zhao Y; Wu J; Zhang C; Wang M; Cui J; Yu M; Li D; Sun Y; Wang Y; Wang Z
    Eur J Nucl Med Mol Imaging; 2021 Jan; 48(1):217-230. PubMed ID: 32451603
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An 18F-FDG-PET/CT-based radiomics signature for estimating malignance probability of solitary pulmonary nodule.
    Zheng J; Hao Y; Guo Y; Du M; Wang P; Xin J
    Clin Respir J; 2024 May; 18(5):e13751. PubMed ID: 38725315
    [TBL] [Abstract][Full Text] [Related]  

  • 12. How Does the Delta-Radiomics Better Differentiate Pre-Invasive GGNs From Invasive GGNs?
    Ma Y; Ma W; Xu X; Cao F
    Front Oncol; 2020; 10():1017. PubMed ID: 32766129
    [No Abstract]   [Full Text] [Related]  

  • 13. Integrated CT Radiomics Features Could Enhance the Efficacy of
    Zhou W; Huang Q; Wen J; Li M; Zhu Y; Liu Y; Dai Y; Guan Y; Zhou Z; Hua T
    Front Oncol; 2021; 11():772703. PubMed ID: 34869011
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Noninvasive monitoring of allograft rejection in a rat lung transplant model: Application of machine learning-based
    Tian D; Shiiya H; Takahashi M; Terasaki Y; Urushiyama H; Shinozaki-Ushiku A; Yan HJ; Sato M; Nakajima J
    J Heart Lung Transplant; 2022 Jun; 41(6):722-731. PubMed ID: 35430149
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [
    Moon JW; Song YH; Kim YN; Woo JY; Son HJ; Hwang HS; Lee SH
    Ann Nucl Med; 2024 Sep; 38(9):754-762. PubMed ID: 38795306
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Detection efficacy of analog [
    Chen Z; Long Y; Zhang Y; Zhang B; He Q; Zhang X
    Eur Radiol; 2023 Mar; 33(3):2118-2127. PubMed ID: 36322193
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Novel Approach Using FDG-PET/CT-Based Radiomics to Assess Tumor Immune Phenotypes in Patients With Non-Small Cell Lung Cancer.
    Zhou J; Zou S; Kuang D; Yan J; Zhao J; Zhu X
    Front Oncol; 2021; 11():769272. PubMed ID: 34868999
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Baseline whole-lung CT features deriving from deep learning and radiomics: prediction of benign and malignant pulmonary ground-glass nodules.
    Huang W; Deng H; Li Z; Xiong Z; Zhou T; Ge Y; Zhang J; Jing W; Geng Y; Wang X; Tu W; Dong P; Liu S; Fan L
    Front Oncol; 2023; 13():1255007. PubMed ID: 37664069
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluation of Radiomics Models Based on Computed Tomography for Distinguishing Between Benign and Malignant Thyroid Nodules.
    Kong D; Zhang J; Shan W; Duan S; Guo L
    J Comput Assist Tomogr; 2022 Nov-Dec 01; 46(6):978-985. PubMed ID: 35759774
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development and Validation a Nomogram Incorporating CT Radiomics Signatures and Radiological Features for Differentiating Invasive Adenocarcinoma From Adenocarcinoma
    Shi L; Shi W; Peng X; Zhan Y; Zhou L; Wang Y; Feng M; Zhao J; Shan F; Liu L
    Front Oncol; 2021; 11():618677. PubMed ID: 33968722
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.