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PUBMED FOR HANDHELDS

Journal Abstract Search


219 related items for PubMed ID: 23557204

  • 1. The correlation of SUVmax with pathological characteristics of primary tumor and the value of Tumor/ Lymph node SUVmax ratio for predicting metastasis to lymph nodes in resected NSCLC patients.
    Koksal D, Demirag F, Bayiz H, Ozmen O, Tatci E, Berktas B, Aydoğdu K, Yekeler E.
    J Cardiothorac Surg; 2013 Apr 04; 8():63. PubMed ID: 23557204
    [Abstract] [Full Text] [Related]

  • 2. Ratio of Lymph Node to Primary Tumor SUV on PET/CT Accurately Predicts Nodal Malignancy in Non-Small-Cell Lung Cancer.
    Mattes MD, Moshchinsky AB, Ahsanuddin S, Rizk NP, Foster A, Wu AJ, Ashamalla H, Weber WA, Rimner A.
    Clin Lung Cancer; 2015 Nov 04; 16(6):e253-8. PubMed ID: 26163919
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  • 3. Evaluation of the factors affecting the maximum standardized uptake value of metastatic lymph nodes in different histological types of non-small cell lung cancer on PET-CT.
    Wang Y, Ma S, Dong M, Yao Y, Liu K, Zhou J.
    BMC Pulm Med; 2015 Mar 08; 15():20. PubMed ID: 25880540
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  • 4. Prediction of occult lymph node metastasis using volume-based PET parameters in small-sized peripheral non-small cell lung cancer.
    Park SY, Yoon JK, Park KJ, Lee SJ.
    Cancer Imaging; 2015 Dec 22; 15():21. PubMed ID: 26694918
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  • 8. 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 02; 26():e922675. PubMed ID: 32483109
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  • 9. The value on SUV-derived parameters assessed on 18F-FDG PET/CT for predicting mediastinal lymph node metastasis in non-small cell lung cancer.
    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 05; 23(1):49. PubMed ID: 37020286
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  • 10. The maximum standardized uptake value of fluorodeoxyglucose positron emission tomography of the primary tumour is a good predictor of pathological nodal involvement in clinical N0 non-small-cell lung cancer.
    Miyasaka Y, Suzuki K, Takamochi K, Matsunaga T, Oh S.
    Eur J Cardiothorac Surg; 2013 Jul 05; 44(1):83-7. PubMed ID: 23233074
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  • 11. Use of maximum standardized uptake value on fluorodeoxyglucose positron-emission tomography in predicting lymph node involvement in patients with primary non-small cell lung cancer.
    Muto J, Hida Y, Kaga K, Ohtaka K, Okamoto S, Tamaki N, Nakada-Kubota R, Hirano S, Matsui Y.
    Anticancer Res; 2014 Feb 05; 34(2):805-10. PubMed ID: 24511016
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  • 12. A Predictive Model for Lymph Node Involvement with Malignancy on PET/CT in Non-Small-Cell Lung Cancer.
    Mattes MD, Weber WA, Foster A, Moshchinsky AB, Ahsanuddin S, Zhang Z, Shi W, Rizk NP, Wu AJ, Ashamalla H, Rimner A.
    J Thorac Oncol; 2015 Aug 05; 10(8):1207-12. PubMed ID: 26200276
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  • 13. Prediction of true-negative lymph node metastasis in clinical IA non-small cell lung cancer by measuring standardized uptake values on positron emission tomography.
    Takenaka T, Yano T, Morodomi Y, Ito K, Miura N, Kawano D, Shoji F, Baba S, Abe K, Honda H, Maehara Y.
    Surg Today; 2012 Oct 05; 42(10):934-9. PubMed ID: 22864936
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  • 16. Role of preoperative PET-CT in assessing mediastinal and hilar lymph node status in early stage lung cancer.
    Lin WY, Hsu WH, Lin KH, Wang SJ.
    J Chin Med Assoc; 2012 May 05; 75(5):203-8. PubMed ID: 22632985
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  • 18. Prognostic value of SUVmax and metabolic tumor volume on 18F-FDG PET/CT in early stage non-small cell lung cancer patients without LN metastasis.
    Yoo IeR, Chung SK, Park HL, Choi WH, Kim YK, Lee KY, Wang YP.
    Biomed Mater Eng; 2014 May 05; 24(6):3091-103. PubMed ID: 25227018
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  • 19. Association of maximum standardized uptake value with occult mediastinal lymph node metastases in cN0 non-small cell lung cancer.
    Lin JT, Yang XN, Zhong WZ, Liao RQ, Dong S, Nie Q, Weng SX, Fang XJ, Zheng JY, Wu YL.
    Eur J Cardiothorac Surg; 2016 Nov 05; 50(5):914-919. PubMed ID: 27113090
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