Prognostic significance of metabolic parameters measured by 18F-FDG PET/CT in limited-stage small-cell lung carcinoma-Reference-Cited by-同舟云学术

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Prognostic significance of metabolic parameters measured by 18F-FDG PET/CT in limited-stage small-cell lung carcinoma

Published:2019-03-21 Issue:5 Volume:145 Page:1361-1367
ISSN:0171-5216
Container-title:Journal of Cancer Research and Clinical Oncology
language:en
Short-container-title:J Cancer Res Clin Oncol

Author:

Chang Hyun,Lee Soo Jin,Lim Jin,Lee Jong Seok,Kim Yu Jung,Lee Won Woo

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s00432-019-02848-9.pdf

Reference32 articles.

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2. Braun DP, Gupta D, Staren ED (2011) Quality of life assessment as a predictor of survival in non-small cell lung cancer. BMC Cancer 11:353

3. Brink I, Schumacher T, Mix M, Ruhland S, Stoelben E, Digel W, Henke M, Ghanem N, Moser E, Nitzsche EU (2004) Impact of [18F]FDG-PET on the primary staging of small-cell lung cancer. Eur J Nucl Med Mol Imaging 31(12):1614–1620

4. Dibble EH, Alvarez AC, Truong MT, Mercier G, Cook EF, Subramaniam RM (2012) 18F-FDG metabolic tumor volume and total glycolytic activity of oral cavity and oropharyngeal squamous cell cancer: adding value to clinical staging. J Nucl Med 53(5):709–715

5. Han JY, Cho KH, Lee DH, Kim HY, Kim EA, Lee SY, Lee JS (2005) Phase II study of irinotecan plus cisplatin induction followed by concurrent twice-daily thoracic irradiation with etoposide plus cisplatin chemotherapy for limited-disease small-cell lung cancer. J Clin Oncol 23(15):3488–3494

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2. Volumetric parameters of the primary tumor and whole-body tumor burden derived from baseline 18F-FDG PET/CT can predict overall survival in non-small cell lung cancer patients: initial results from a single institution;European Journal of Hybrid Imaging;2022-12-28

3. What is the effect of tumor diameter, lymph node metastases, and SUVmax value on prognosis in limited-stage small cell lung cancer?;Revista da Associação Médica Brasileira;2022-09

4. Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer;EJNMMI Physics;2022-02-03

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