Literature DB >> 11306726

Early lung cancer action project: a summary of the findings on baseline screening.

C I Henschke1, D I McCauley, D F Yankelevitz, D P Naidich, G McGuinness, O S Miettinen, D Libby, M Pasmantier, J Koizumi, N Altorki, J P Smith.   

Abstract

PURPOSE: The Early Lung Cancer Action Project (ELCAP) is designed to evaluate baseline and annual repeat screening by low radiation dose computed tomography (low-dose CT) in persons at high-risk for lung cancer.
METHODS: Since starting in 1993, the ELCAP has enrolled 1,000 asymptomatic persons, 60 years of age or older, with at least 10 pack-years (1 pack per day for 10 years, or 2 packs per day for 5 years) of cigarette smoking, no prior cancer, and medically fit to undergo thoracic surgery. After a structured interview and informed consent, baseline chest radiographs and low-dose CT were obtained on each subject. The diagnostic work-up of screen-detected noncalcified pulmonary nodules (NCN) was guided by ELCAP recommendations which included short-term high-resolution CT follow-up for the smallest nodules. Baseline
RESULTS: On low-dose CT at baseline compared to chest radiography, NCN were detected three times as commonly (23% versus 7%), malignancies four times as commonly (2.7% versus 0.7%), and stage I malignancies six times as commonly (2.3% versus 0.4%). Of the 27 CT-detected cancers, 96% (26/27) were resectable; 85% (23/27) were stage I, and 83% (19 of the 23 stage I) were not seen on chest radiography. Following the ELCAP recommendations, biopsies were performed on 28 of the 233 subjects with NCN; 27 had a malignant and one a benign NCN. Another three individuals underwent biopsy outside of the ELCAP recommendations; all had benign NCNS: No one had thoracotomy for a benign nodule.
CONCLUSION: Baseline CT screening for lung cancer provides for detecting the disease at earlier and presumably more commonly curable stages in a cost-effective manner.

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Mesh:

Year:  2001        PMID: 11306726     DOI: 10.1634/theoncologist.6-2-147

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


  30 in total

1.  Computer-assisted detection of pulmonary nodules: performance evaluation of an expert knowledge-based detection system in consensus reading with experienced and inexperienced chest radiologists.

Authors:  Katharina Marten; Tobias Seyfarth; Florian Auer; Edzard Wiener; Andreas Grillhösl; Silvia Obenauer; Ernst J Rummeny; Christoph Engelke
Journal:  Eur Radiol       Date:  2004-07-03       Impact factor: 5.315

2.  Computer-assisted detection of pulmonary nodules: evaluation of diagnostic performance using an expert knowledge-based detection system with variable reconstruction slice thickness settings.

Authors:  Katharina Marten; Andreas Grillhösl; Tobias Seyfarth; Silvia Obenauer; Ernst J Rummeny; Christoph Engelke
Journal:  Eur Radiol       Date:  2004-12-02       Impact factor: 5.315

3.  Pulmonary nodule detection on MDCT images: evaluation of diagnostic performance using thin axial images, maximum intensity projections, and computer-assisted detection.

Authors:  A Jankowski; T Martinelli; J F Timsit; C Brambilla; F Thony; M Coulomb; G Ferretti
Journal:  Eur Radiol       Date:  2007-09-01       Impact factor: 5.315

Review 4.  European and North American lung cancer screening experience and implications for pulmonary nodule management.

Authors:  Arjun Nair; David M Hansell
Journal:  Eur Radiol       Date:  2011-08-10       Impact factor: 5.315

Review 5.  Image guidance in proton therapy for lung cancer.

Authors:  Miao Zhang; Wei Zou; Boon-Keng Kevin Teo
Journal:  Transl Lung Cancer Res       Date:  2018-04

Review 6.  Dynamic microsimulation models for health outcomes: a review.

Authors:  Carolyn M Rutter; Alan M Zaslavsky; Eric J Feuer
Journal:  Med Decis Making       Date:  2010-05-18       Impact factor: 2.583

7.  Accuracy of lung nodule volumetry in low-dose CT with iterative reconstruction: an anthropomorphic thoracic phantom study.

Authors:  K W Doo; E-Y Kang; H S Yong; O H Woo; K Y Lee; Y-W Oh
Journal:  Br J Radiol       Date:  2014-07-16       Impact factor: 3.039

8.  Differential diagnosis of solitary lung nodules with gene expression ratios.

Authors:  Gavin J Gordon; Levi A Deters; Matthew D Nitz; Barry C Lieberman; Beow Y Yeap; Raphael Bueno
Journal:  J Thorac Cardiovasc Surg       Date:  2006-09       Impact factor: 5.209

9.  Extra cardiac findings by 64-multidetector computed tomography in patients with symptomatic atrial fibrillation prior to pulmonal vein isolation.

Authors:  Christian Sohns; Samuel Sossalla; Dirk Vollmann; Lars Luethje; Joachim Seegers; Jan D Schmitto; Markus Zabel; Silvia Obenauer
Journal:  Int J Cardiovasc Imaging       Date:  2010-06-13       Impact factor: 2.357

Review 10.  Population screening for lung cancer using computed tomography, is there evidence of clinical effectiveness? A systematic review of the literature.

Authors:  Corri Black; Robyn de Verteuil; Shonagh Walker; Jon Ayres; Angela Boland; Adrian Bagust; Norman Waugh
Journal:  Thorax       Date:  2007-02       Impact factor: 9.139

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