Literature DB >> 24099665

Computed tomography screening for lung cancer: results of ten years of annual screening and validation of cosmos prediction model.

G Veronesi1, P Maisonneuve, C Rampinelli, R Bertolotti, F Petrella, L Spaggiari, M Bellomi.   

Abstract

INTRODUCTION: It is unclear how long low-dose computed tomographic (LDCT) screening should continue in populations at high risk of lung cancer. We assessed outcomes and the predictive ability of the COSMOS prediction model in volunteers screened for 10 years.
MATERIALS AND METHODS: Smokers and former smokers (>20 pack-years), >50 years, were enrolled over one year (2000-2001), receiving annual LDCT for 10 years. The frequency of screening-detected lung cancers was compared with COSMOS and Bach risk model estimates.
RESULTS: Among 1035 recruited volunteers (71% men, mean age 58 years) compliance was 65% at study end. Seventy-one (6.95%) lung cancers were diagnosed, 12 at baseline. Disease stage was: IA in 48 (66.6%); IB in 6; IIA in 5; IIB in 2; IIIA in 5; IIIB in 1; IV in 5; and limited small cell cancer in 3. Five- and ten-year survival were 64% and 57%, respectively, 84% and 65% for stage I. Ten (12.1%) received surgery for a benign lesion. The number of lung cancers detected during the first two screening rounds was close to that predicted by the COSMOS model, while the Bach model accurately predicted frequency from the third year on.
CONCLUSIONS: Neither cancer frequency nor proportion at stage I decreased over 10 years, indicating that screening should not be discontinued. Most cancers were early stage, and overall survival was high. Only a limited number of invasive procedures for benign disease were performed. The Bach model - designed to predict symptomatic cancers - accurately predicted cancer frequency from the third year, suggesting that overdiagnosis is a minor problem in lung cancer screening. The COSMOS model - designed to estimate screening-detected lung cancers - accurately predicted cancer frequency at baseline and second screening round.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Computed tomography; Lung cancer; Overdiagnosis; Risk model; Screening; Treatment

Mesh:

Year:  2013        PMID: 24099665     DOI: 10.1016/j.lungcan.2013.08.026

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  18 in total

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Review 3.  The narrow path to organized LDCT lung cancer screening programs in Europe.

Authors:  Eugenio Paci
Journal:  J Thorac Dis       Date:  2018-07       Impact factor: 2.895

4.  Biopsy first: Lessons learned from Cancer and Leukemia Group B (CALGB) 140503.

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5.  Virtual navigation to guide personalized treatment of small-size lung cancer using minimally invasive techniques.

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Journal:  J Vis Surg       Date:  2016-03-30

6.  Offering lung cancer screening to high-risk medicare beneficiaries saves lives and is cost-effective: an actuarial analysis.

Authors:  Bruce S Pyenson; Claudia I Henschke; David F Yankelevitz; Rowena Yip; Ellynne Dec
Journal:  Am Health Drug Benefits       Date:  2014-08

7.  Screen-detected multiple primary lung cancers in the ITALUNG trial.

Authors:  Mario Mascalchi; Camilla E Comin; Elena Bertelli; Lapo Sali; Cristina Maddau; Stefania Zuccherelli; Giulia Picozzi; Laura Carrozzi; Michela Grazzini; Gabriella Fontanini; Luca Voltolini; Alessandra Vella; Francesca Castiglione; Francesca Carozzi; Eugenio Paci; Maurizio Zompatori; Andrea Lopes Pegna; Fabio Falaschi
Journal:  J Thorac Dis       Date:  2018-02       Impact factor: 2.895

Review 8.  Early detection of lung cancer.

Authors:  David E Midthun
Journal:  F1000Res       Date:  2016-04-25

Review 9.  Chemoprevention studies within lung cancer screening programmes.

Authors:  G Veronesi; A Guerrieri-Gonzaga; M Infante; B Bonanni
Journal:  Ecancermedicalscience       Date:  2015-11-24

10.  Diagnosis of Lung Cancer by Fractal Analysis of Damaged DNA.

Authors:  Hamidreza Namazi; Mona Kiminezhadmalaie
Journal:  Comput Math Methods Med       Date:  2015-10-11       Impact factor: 2.238

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