Lung cancer detection with digital chest tomosynthesis: Baseline results from the observational study SOS

40Citations
Citations of this article
58Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Introduction: Observational studies consistently support strategies for early cancer diagnosis and treatment. Owing to its high prevalence, mortality rate, and easily identifiable at-risk population groups, lung cancer seems ideal for early detection programs. We present the baseline results of the SOS study, a single-arm observational study of digital chest tomosynthesis for lung cancer detection in an at-risk population. Methods: Accrual of study participants started in December 2010 and ended in December 2011. Participants considered eligible were smokers or former smokers aged 45 to 75 years, with a smoking history of at least 20 pack-years, without malignancy in the 5 years before the start of the study. A tomosynthesis examination was performed at baseline and another the year after. Results: Of the 1919 candidates assessed, 1843 (96%) were enrolled into the study: the mean age was 61 years (range, 48-73 years); 1419 (77%) were current smokers. The most prevalent comorbidities were hypertension, chronic obstructive pulmonary disease, and cardiovascular diseases. A total of 1843 tomosynthesis studies were obtained. Pulmonary abnormalities were detected in 268 subjects (14.5%). Firstline basal computed tomography (CT) was subsequently carried out in 132 subjects (7.2%), 68 (4.9%) of which were referred for follow-up CT. Positron-emission tomography/CT was performed on 27 individuals (1.46%), and lung cancer was detected in 18 (0.98%) of them. Conclusion: The detection rate of noncalcified lung nodules for tomosynthesis was comparable with rates reported for CT. A small subgroup underwent low-dosage CT and entered a follow-up program. Overall, lung cancer was detected in approximately 1% of cases. Digital chest tomosynthesis holds promise as a first-line lung cancer screening tool. Copyright ©2013 by the International Association for the Study of Lung Cancer.

Cite

CITATION STYLE

APA

Terzi, A., Bertolaccini, L., Viti, A., Comello, L., Ghirardo, D., Priotto, R., & Grosso, M. (2013). Lung cancer detection with digital chest tomosynthesis: Baseline results from the observational study SOS. Journal of Thoracic Oncology, 8(6), 685–692. https://doi.org/10.1097/JTO.0b013e318292bdef

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free