Literature DB >> 15561807

The role of PET scan in diagnosis, staging, and management of non-small cell lung cancer.

Liesbet Schrevens1, Natalie Lorent, Christophe Dooms, Johan Vansteenkiste.   

Abstract

Positron emission tomography (PET) is now an important cancer imaging tool, both for diagnosis and staging, as well as offering prognostic information based on response. This report attempts to comprehensively review the value of PET in the locoregional and distant staging of non-small cell lung cancer (NSCLC), illustrate the potential effects on patient management, and give a short overview of newer applications. PET sets the gold standard in the evaluation of an indeterminate solitary pulmonary nodule or mass, where PET has proven to be significantly more accurate than computed tomography (CT) in the distinction between benign and malignant lesions. In the evaluation of metastatic spread to locoregional lymph nodes, PET is significantly more accurate than CT, so that invasive surgical staging may be omitted in many patients with negative mediastinal PET images. In patients with positive mediastinal PET images, invasive surgical staging remains mandatory because of the possibility of false-positive findings due to inflammatory nodes or granulomatous disorders. In the search for metastatic spread, PET is a useful adjunct to conventional imaging. This may be due to the finding of unexpected metastatic lesions or due to exclusion of malignancy in lesions that are equivocal on standard imaging. However, at this time, PET does not replace conventional imaging. Large-scale randomized studies are currently examining whether PET staging will actually improve the appearance of lung cancer outcome.

Entities:  

Mesh:

Year:  2004        PMID: 15561807     DOI: 10.1634/theoncologist.9-6-633

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  45 in total

1.  Additional value of PET-CT in the staging of lung cancer: comparison with CT alone, PET alone and visual correlation of PET and CT.

Authors:  W De Wever; S Ceyssens; L Mortelmans; S Stroobants; G Marchal; J Bogaert; J A Verschakelen
Journal:  Eur Radiol       Date:  2006-05-09       Impact factor: 5.315

2.  The war on cancer: a report from the front lines.

Authors:  Gavin Melmed
Journal:  Proc (Bayl Univ Med Cent)       Date:  2006-10

3.  Experiences and benefits of positron emitted tomography-computed tomography (PET-CT) combined with video-assisted thoracoscopic surgery (VATS) in the diagnosis of Stage 1 sarcoidosis.

Authors:  Shi-Ping Luh; Tzu-Chin Wu; Yao-Tung Wang; Thomas Chang-Yao Tsao; Jia-Yuh Chen
Journal:  J Zhejiang Univ Sci B       Date:  2007-06       Impact factor: 3.066

4.  Prognostic impact of M descriptors of the 8th edition of TNM classification of lung cancer.

Authors:  Margarida Dias; Ana Antunes; Sérgio Campainha; Sara Conde; Ana Barroso
Journal:  J Thorac Dis       Date:  2017-03       Impact factor: 2.895

Review 5.  Positron emission tomography/computerized tomography in lung cancer.

Authors:  Ilgin Sahiner; Gulin Ucmak Vural
Journal:  Quant Imaging Med Surg       Date:  2014-06

6.  Improved discrimination between benign and malignant LDCT screening-detected lung nodules with dynamic over static 18F-FDG PET as a function of injected dose.

Authors:  Qing Ye; Jing Wu; Yihuan Lu; Mika Naganawa; Jean-Dominique Gallezot; Tianyu Ma; Yaqiang Liu; Lynn Tanoue; Frank Detterbeck; Justin Blasberg; Ming-Kai Chen; Michael Casey; Richard E Carson; Chi Liu
Journal:  Phys Med Biol       Date:  2018-09-06       Impact factor: 3.609

7.  Management of the pulmonary nodule-shifting paradigms and an opportunity for change.

Authors:  William S Krimsky; Daniel P Harley; Calvin S H Ng
Journal:  J Thorac Dis       Date:  2016-07       Impact factor: 2.895

8.  ImmunoPET Imaging of CD146 in Murine Models of Intrapulmonary Metastasis of Non-Small Cell Lung Cancer.

Authors:  Christopher G England; Dawei Jiang; Reinier Hernandez; Haiyan Sun; Hector F Valdovinos; Emily B Ehlerding; Jonathan W Engle; Yunan Yang; Peng Huang; Weibo Cai
Journal:  Mol Pharm       Date:  2017-09-06       Impact factor: 4.939

Review 9.  Machine learning in quantitative PET: A review of attenuation correction and low-count image reconstruction methods.

Authors:  Tonghe Wang; Yang Lei; Yabo Fu; Walter J Curran; Tian Liu; Jonathon A Nye; Xiaofeng Yang
Journal:  Phys Med       Date:  2020-07-29       Impact factor: 2.685

10.  18F-FDG PET for the lymph node staging of non-small cell lung cancer in a tuberculosis-endemic country: is dual time point imaging worth the effort?

Authors:  Ruoh-Fang Yen; Ke-Cheng Chen; Jang-Ming Lee; Yeun-Chung Chang; Jane Wang; Mei-Fang Cheng; Yen-Wen Wu; Yung-Chie Lee
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-02-19       Impact factor: 9.236

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