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Journal Abstract Search

465 related items for PubMed ID: 34289575

  • 1. [Value of (18)F-FDG PET-CT imaging to predict epidermal growth factor receptor mutations in patients with lung squamous cell carcinoma].
    Zhao CY, Deng XY, Wang HS, Cao GP, Ding JN, Ding CY.
    Zhonghua Zhong Liu Za Zhi; 2021 Jul 23; 43(7):795-800. PubMed ID: 34289575
    [Abstract] [Full Text] [Related]

  • 2. [Evaluate the value of (18)F-FDG PET-CT imaging in predicting the mutationsin epidermal growth factor receptor in lung adenocarcinoma].
    Ding CY, Yang WP, Guo Z, Sun J, Li YY, Li TR.
    Zhonghua Zhong Liu Za Zhi; 2017 Jul 23; 39(7):528-531. PubMed ID: 28728300
    [Abstract] [Full Text] [Related]

  • 3. Correlation study on 18F-FDG PET/CT metabolic characteristics of primary lesion with clinical stage in lung cancer.
    Hu WD, Wang HC, Wang YB, Cui LL, Chen XH.
    Q J Nucl Med Mol Imaging; 2021 Jun 23; 65(2):172-177. PubMed ID: 30916535
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  • 4. [Semiquantitative parameters of 18F-FDG PET/CT, gene mutation states of epidermal growth factor receptor and anaplastic lymphoma kinase in prognosis evaluation of patients with lung adenocarcinoma].
    Liao XH, Wang RF, Liu M, Chen XQ, Xiong Y, Nong L, Yin L, Zhang BY, DU YJ.
    Beijing Da Xue Xue Bao Yi Xue Ban; 2020 Oct 20; 53(2):246-254. PubMed ID: 33879893
    [Abstract] [Full Text] [Related]

  • 5. [Prognostic value of pretreatment (18)F-FDG PET-CT metabolic parameters in patients with advanced extranodal NK/T cell lymphoma].
    Wu LL, Liang JH, Wang L, Xu W, Ding CY.
    Zhonghua Zhong Liu Za Zhi; 2019 Nov 23; 41(11):831-836. PubMed ID: 31770850
    [Abstract] [Full Text] [Related]

  • 6. Prognostic value of metabolic tumor burden from (18)F-FDG PET in surgical patients with non-small-cell lung cancer.
    Zhang H, Wroblewski K, Liao S, Kampalath R, Penney BC, Zhang Y, Pu Y.
    Acad Radiol; 2013 Jan 23; 20(1):32-40. PubMed ID: 22999369
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  • 7. [The correlation between metabolic parameters in (18)F-FDG PET-CT and solid and micropapillary histological subtypes in lung adenocarcinoma].
    Guo Y, Yao ZM, Chen M, Chen CX.
    Zhonghua Zhong Liu Za Zhi; 2022 Jun 23; 44(6):555-561. PubMed ID: 35754230
    [Abstract] [Full Text] [Related]

  • 8. FDG PET/CT metabolic tumor volume and total lesion glycolysis predict prognosis in patients with advanced lung adenocarcinoma.
    Chung HW, Lee KY, Kim HJ, Kim WS, So Y.
    J Cancer Res Clin Oncol; 2014 Jan 23; 140(1):89-98. PubMed ID: 24194352
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  • 11. 18F-FDG PET/CT and circulating tumor cells in treatment-naive patients with non-small-cell lung cancer.
    Zhang F, Wu X, Zhu J, Huang Y, Song X, Jiang L.
    Eur J Nucl Med Mol Imaging; 2021 Sep 23; 48(10):3250-3259. PubMed ID: 33630146
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  • 15. Predictive value of intratumor metabolic and heterogeneity parameters on [18F]FDG PET/CT for EGFR mutations in patients with lung adenocarcinoma.
    Ni M, Wang S, Liu X, Shi Q, Zhu X, Zhang Y, Xie Q, Lv W.
    Jpn J Radiol; 2023 Feb 23; 41(2):209-218. PubMed ID: 36219311
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  • 17. The correlation of 18F-FDG PET/CT metabolic parameters, clinicopathological factors, and prognosis in breast cancer.
    Qu YH, Long N, Ran C, Sun J.
    Clin Transl Oncol; 2021 Mar 23; 23(3):620-627. PubMed ID: 32683540
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  • 20. Clinical significance of pretreatment metabolic tumor volume and total lesion glycolysis in hypopharyngeal squamous cell carcinomas.
    Roh JL, Kim JS, Kang BC, Cho KJ, Lee SW, Kim SB, Choi SH, Nam SY, Kim SY.
    J Surg Oncol; 2014 Dec 23; 110(7):869-75. PubMed ID: 25088392
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