BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

341 related articles for article (PubMed ID: 36565319)

  • 1. Developing a primary tumor and lymph node 18F-FDG PET/CT-clinical (TLPC) model to predict lymph node metastasis of resectable T2-4 NSCLC.
    Wang M; Liu L; Dai Q; Jin M; Huang G
    J Cancer Res Clin Oncol; 2023 Jan; 149(1):247-261. PubMed ID: 36565319
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An [
    Meng N; Feng P; Yu X; Wu Y; Fu F; Li Z; Luo Y; Tan H; Yuan J; Yang Y; Wang Z; Wang M
    Eur Radiol; 2024 Jan; 34(1):318-329. PubMed ID: 37530809
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A machine learning tool to improve prediction of mediastinal lymph node metastases in non-small cell lung cancer using routinely obtainable [
    Rogasch JMM; Michaels L; Baumgärtner GL; Frost N; Rückert JC; Neudecker J; Ochsenreither S; Gerhold M; Schmidt B; Schneider P; Amthauer H; Furth C; Penzkofer T
    Eur J Nucl Med Mol Imaging; 2023 Jun; 50(7):2140-2151. PubMed ID: 36820890
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Prediction of mediastinal lymph node metastasis based on
    Yin G; Song Y; Li X; Zhu L; Su Q; Dai D; Xu W
    Eur Radiol; 2021 Jun; 31(6):3983-3992. PubMed ID: 33201286
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Diagnostic utility of metabolic parameters on FDG PET/CT for lymph node metastasis in patients with cN2 non-small cell lung cancer.
    Nakanishi K; Nakamura S; Sugiyama T; Kadomatsu Y; Ueno H; Goto M; Ozeki N; Fukui T; Iwano S; Chen-Yoshikawa TF
    BMC Cancer; 2021 Sep; 21(1):983. PubMed ID: 34474680
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Combination of Fluorine-18 Fluorodeoxyglucose Positron-Emission Tomography/Computed Tomography (¹⁸F-FDG PET/CT) and Tumor Markers to Diagnose Lymph Node Metastasis in Non-Small Cell Lung Cancer (NSCLC): A Retrospective and Prospective Study.
    Zhai X; Guo Y; Qian X
    Med Sci Monit; 2020 Jun; 26():e922675. PubMed ID: 32483109
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 2-[
    Xu L; Huang G; Wang Y; Huang G; Liu J; Chen R
    Eur J Nucl Med Mol Imaging; 2024 May; 51(6):1729-1740. PubMed ID: 38150017
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Comprehensive Nomogram Combining CT Imaging with Clinical Features for Prediction of Lymph Node Metastasis in Stage I-IIIB Non-small Cell Lung Cancer.
    Zheng X; Shao J; Zhou L; Wang L; Ge Y; Wang G; Feng F
    Ther Innov Regul Sci; 2022 Jan; 56(1):155-167. PubMed ID: 34699046
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The value on SUV-derived parameters assessed on
    Liao X; Liu M; Li S; Huang W; Guo C; Liu J; Xiong Y; Zhang J; Fan Y; Wang R
    BMC Med Imaging; 2023 Apr; 23(1):49. PubMed ID: 37020286
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Preoperative prediction of mediastinal lymph node metastasis in non-small cell lung cancer based on
    Huang Y; Jiang X; Xu H; Zhang D; Liu LN; Xia YX; Xu DK; Wu HJ; Cheng G; Shi YH
    Clin Radiol; 2023 Jan; 78(1):8-17. PubMed ID: 36192203
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Impact of
    Al-Ibraheem A; Hirmas N; Fanti S; Paez D; Abuhijla F; Al-Rimawi D; Al-Rasheed U; Abdeljalil R; Hawari F; Alrabi K; Mansour A
    BMC Med Imaging; 2021 Mar; 21(1):49. PubMed ID: 33731050
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Metabolic tumor heterogeneity analysis by F-18 FDG PET/CT predicts mediastinal lymph node metastasis in non-small cell lung cancer patients with clinically suspected N2.
    Pahk K; Chung JH; Yi E; Kim S; Lee SH
    Eur J Radiol; 2018 Sep; 106():145-149. PubMed ID: 30150037
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 18F-fluorodeoxyglucose positron-emission tomography (FDG-PET)-Radiomics of metastatic lymph nodes and primary tumor in non-small cell lung cancer (NSCLC) - A prospective externally validated study.
    Carvalho S; Leijenaar RTH; Troost EGC; van Timmeren JE; Oberije C; van Elmpt W; de Geus-Oei LF; Bussink J; Lambin P
    PLoS One; 2018; 13(3):e0192859. PubMed ID: 29494598
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Preoperative prediction of regional lymph node metastasis of colorectal cancer based on
    He J; Wang Q; Zhang Y; Wu H; Zhou Y; Zhao S
    Ann Nucl Med; 2021 May; 35(5):617-627. PubMed ID: 33738763
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Graph Neural Network Model for Prediction of Non-Small Cell Lung Cancer Lymph Node Metastasis Using Protein-Protein Interaction Network and
    Ju H; Kim K; Kim BI; Woo SK
    Int J Mol Sci; 2024 Jan; 25(2):. PubMed ID: 38255770
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The diagnostic ability of
    Lee JW; Kim EY; Kim DJ; Lee JH; Kang WJ; Lee JD; Yun M
    Eur Radiol; 2016 Dec; 26(12):4515-4523. PubMed ID: 26943133
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Utility of Volumetric Metabolic Parameters on Preoperative FDG PET/CT for Predicting Tumor Lymphovascular Invasion in Non-Small Cell Lung Cancer.
    Li C; Tian Y; Shen Y; Wen B; He Y
    AJR Am J Roentgenol; 2021 Dec; 217(6):1433-1443. PubMed ID: 33978465
    [No Abstract]   [Full Text] [Related]  

  • 19. Risk Factors for Predicting Occult Lymph Node Metastasis in Patients with Clinical Stage I Non-small Cell Lung Cancer Staged by Integrated Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography.
    Kaseda K; Asakura K; Kazama A; Ozawa Y
    World J Surg; 2016 Dec; 40(12):2976-2983. PubMed ID: 27456499
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Occult nodal metastasis in patients with non-small cell lung cancer at clinical stage IA by PET/CT.
    Park HK; Jeon K; Koh WJ; Suh GY; Kim H; Kwon OJ; Chung MP; Lee KS; Shim YM; Han J; Um SW
    Respirology; 2010 Nov; 15(8):1179-84. PubMed ID: 20573058
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.