Literature DB >> 23612466

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

Alberto Terzi1, Luca Bertolaccini, Andrea Viti, Liliana Comello, Donatella Ghirardo, Roberto Priotto, Maurizio Grosso.   

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%). First-line 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.

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Year:  2013        PMID: 23612466     DOI: 10.1097/JTO.0b013e318292bdef

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  12 in total

1.  A dual-view digital tomosynthesis imaging technique for improved chest imaging.

Authors:  Yuncheng Zhong; Chao-Jen Lai; Tianpeng Wang; Chris C Shaw
Journal:  Med Phys       Date:  2015-09       Impact factor: 4.071

2.  The diagnostic utility of endobronchial ultrasonography with a guide sheath and tomosynthesis images for ground glass opacity pulmonary lesions.

Authors:  Takehiro Izumo; Shinji Sasada; Christine Chavez; Takaaki Tsuchida
Journal:  J Thorac Dis       Date:  2013-12       Impact factor: 2.895

3.  Evaluation of a new system for chest tomosynthesis: aspects of image quality of different protocols determined using an anthropomorphic phantom.

Authors:  M Jadidi; A Sundin; P Aspelin; M Båth; S Nyrén
Journal:  Br J Radiol       Date:  2015-06-29       Impact factor: 3.039

Review 4.  Digital tomosynthesis in lung cancer: state of the art.

Authors:  Luca Bertolaccini; Andrea Viti; Alberto Terzi
Journal:  Ann Transl Med       Date:  2015-06

5.  Comparison of digital tomosynthesis and computed tomography for lung nodule detection in SOS screening program.

Authors:  Maurizio Grosso; Roberto Priotto; Donatella Ghirardo; Alberto Talenti; Emanuele Roberto; Luca Bertolaccini; Alberto Terzi; Stéphane Chauvie
Journal:  Radiol Med       Date:  2017-04-20       Impact factor: 3.469

6.  Study designs in thoracic surgery research.

Authors:  Andrea Viti; Alberto Terzi; Luca Bertolaccini
Journal:  J Thorac Dis       Date:  2016-09       Impact factor: 2.895

7.  Lung cancer detection with digital chest tomosynthesis: first round results from the SOS observational study.

Authors:  Luca Bertolaccini; Andrea Viti; Chiara Tavella; Roberto Priotto; Donatella Ghirardo; Maurizio Grosso; Alberto Terzi
Journal:  Ann Transl Med       Date:  2015-04

8.  Multi-Institutional Evaluation of Digital Tomosynthesis, Dual-Energy Radiography, and Conventional Chest Radiography for the Detection and Management of Pulmonary Nodules.

Authors:  James T Dobbins; H Page McAdams; John M Sabol; Dev P Chakraborty; Ella A Kazerooni; Gautham P Reddy; Jenny Vikgren; Magnus Båth
Journal:  Radiology       Date:  2016-07-19       Impact factor: 11.105

Review 9.  Comparison of digital tomosynthesis and chest radiography for the detection of pulmonary nodules: systematic review and meta-analysis.

Authors:  Jun H Kim; Kyung H Lee; Kyoung-Tae Kim; Hyun J Kim; Hyeong S Ahn; Yeo J Kim; Ha Y Lee; Yong S Jeon
Journal:  Br J Radiol       Date:  2016-10-19       Impact factor: 3.039

10.  Comparison of chest radiography, chest digital tomosynthesis and low dose MDCT to detect small ground-glass opacity nodules: an anthropomorphic chest phantom study.

Authors:  Kyung Won Doo; Eun-Young Kang; Hwan Seok Yong; Soo-Youn Ham; Ki Yeol Lee; Ji Yung Choo
Journal:  Eur Radiol       Date:  2014-08-06       Impact factor: 5.315

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