Literature DB >> 12527566

Screening for lung cancer: a review of the current literature.

Peter B Bach1, Michael J Kelley, Ramsey C Tate, Douglas C McCrory.   

Abstract

STUDY
OBJECTIVES: To review the available data on the early detection of lung cancer, with a focus on three technologies: chest x-ray (CXR), sputum cytology, and low-dose CT (LDCT) scanning. DESIGN, SETTING, PARTICIPANTS: Review of published clinical studies of early detection technologies. The best available evidence on each topic was selected for analysis. Randomized trials were used to evaluate CXR and sputum cytology. Cohort studies, as well as studies providing evidence regarding rates of overdiagnosis and efficacy of initial treatment, were considered in evaluation of LDCT. Study design and results were summarized in evidence tables. Statistical analyses of combined data were not performed. MEASUREMENT AND
RESULTS: Five randomized trials of CXR with or without sputum cytology have been conducted, each which reports disease-specific mortality as well as other end points. None of these studies provide support for the use of either CXR or sputum cytology for the early detection of lung cancer in asymptomatic individuals. Eight completed and ongoing trials of LDCT were identified. All of these studies report the frequency and stage distribution of lung cancers found during initial ("prevalence") screening, and several studies also report rates of detection at the time of annual follow-up. No outcome data on survival or treatment are available. A number of studies support the hypothesis of "overdiagnosis"--that some lung cancers detected by LDCT may behave in an indolent manner.
CONCLUSIONS: The use of either CXR or sputum cytology for the early detection of lung cancer is not supported by the published evidence. The evidence for LDCT appears promising, in that the technology typically identifies lung cancer at an early stage, although corollary studies suggest that these findings in isolation may be misleading. Further high-quality research is needed to better define the role of LDCT in the evaluation of asymptomatic high-risk individuals.

Entities:  

Mesh:

Year:  2003        PMID: 12527566     DOI: 10.1378/chest.123.1_suppl.72s

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  40 in total

Review 1.  CT screening: a trade-off of risks, benefits, and costs.

Authors:  M G Myriam Hunink; G Scott Gazelle
Journal:  J Clin Invest       Date:  2003-06       Impact factor: 14.808

2.  Computerized comprehensive data analysis of lung imaging database consortium (LIDC).

Authors:  Jun Tan; Jiantao Pu; Bin Zheng; Xingwei Wang; Joseph K Leader
Journal:  Med Phys       Date:  2010-07       Impact factor: 4.071

3.  Attitudes towards screening for lung cancer among smokers and their non-smoking counterparts.

Authors:  Gerard A Silvestri; Paul J Nietert; James Zoller; Cindy Carter; David Bradford
Journal:  Thorax       Date:  2006-11-13       Impact factor: 9.139

4.  Previous tumour as a predictor of risk of developing lung cancer.

Authors:  Eric M Toloza
Journal:  Thorax       Date:  2007-05       Impact factor: 9.139

5.  Screening for lung cancer: yet another problem.

Authors:  Stephen G Spiro
Journal:  Thorax       Date:  2007-02       Impact factor: 9.139

Review 6.  Lung cancer screening: promise and pitfalls.

Authors:  Judith J Smith; Christine D Berg
Journal:  Semin Oncol Nurs       Date:  2008-02       Impact factor: 2.315

Review 7.  Low Dose CT for Lung Cancer Screening: The Background, the Guidelines, and a Tailored Approach to Patient Care.

Authors:  Emily Tylski; Mala Goyal
Journal:  Mo Med       Date:  2019 Sep-Oct

8.  Using protein microarray as a diagnostic assay for non-small cell lung cancer.

Authors:  Li Zhong; Giovanna E Hidalgo; Arnold J Stromberg; Nada H Khattar; James R Jett; Edward A Hirschowitz
Journal:  Am J Respir Crit Care Med       Date:  2005-08-18       Impact factor: 21.405

Review 9.  Risk factors assessment and risk prediction models in lung cancer screening candidates.

Authors:  Mariusz Adamek; Ewa Wachuła; Sylwia Szabłowska-Siwik; Agnieszka Boratyn-Nowicka; Damian Czyżewski
Journal:  Ann Transl Med       Date:  2016-04

10.  Improved detection of pulmonary nodules on energy-subtracted chest radiographs with a commercial computer-aided diagnosis software: comparison with human observers.

Authors:  Zsolt Szucs-Farkas; Michael A Patak; Seyran Yuksel-Hatz; Thomas Ruder; Peter Vock
Journal:  Eur Radiol       Date:  2009-11-21       Impact factor: 5.315

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