Literature DB >> 25503535

Community low-dose CT lung cancer screening: a prospective cohort study.

Vincent K Lam1, Mary Miller, Lynn Dowling, Shyamali Singhal, Robert P Young, Elwyn C Cabebe.   

Abstract

BACKGROUND: The National Lung Screening Trial (NLST) in 2011 showed that low-dose CT (LDCT) screening in high-risk groups reduces lung cancer deaths. Major professional organizations, as well as the U.S. Preventative Services Task Force, have endorsed LDCT screening in these select populations. However, major questions remain about whether widespread deployment of CT screening can achieve results similar to the NLST, especially in the community setting.
METHODS: A prospective cohort study was initiated in November 2010. Participants at least 50 years old and with at least 20 pack-years of smoking history underwent LDCT screening in a community setting.
RESULTS: One hundred and fifty four participants underwent LDCT screening with median follow-up of 2.7 years. Compared with the NLST, there was a higher rate of positive screening tests (35.7 vs. 27.3 %), higher false positive rate (100 vs. 96.4 %), and poor adherence (43 vs. 95 %). Invasive diagnostic follow-up was uncommon and uncomplicated. No interval lung cancer was detected. Late follow-up was mostly attributed to participant or primary care provider preference (67.5 %), participants lost to follow-up (17.5 %), and lack of insurance (10 %).
CONCLUSIONS: These findings highlight the potential challenges of generalizing the NLST mortality benefits in the broad deployment of CT screening. Our results support current recommendations that LDCT screening be performed in a highly structured and integrated setting.

Entities:  

Mesh:

Year:  2014        PMID: 25503535     DOI: 10.1007/s00408-014-9671-9

Source DB:  PubMed          Journal:  Lung        ISSN: 0341-2040            Impact factor:   2.584


  20 in total

1.  Increasing smokers' risk perception improves CT screening participation.

Authors:  R P Young; R J Hopkins
Journal:  Thorax       Date:  2012-01-16       Impact factor: 9.139

2.  Factors determining early adherence to a lung cancer screening protocol.

Authors:  U Montes; L M Seijo; A Campo; A B Alcaide; G Bastarrika; J J Zulueta
Journal:  Eur Respir J       Date:  2007-06-13       Impact factor: 16.671

3.  Perilous potential: the chance to save lives, or lose them, through low dose computed tomography screening for lung cancer.

Authors:  Peter B Bach
Journal:  J Surg Oncol       Date:  2013-08-27       Impact factor: 3.454

4.  Attitudes to participation in a lung cancer screening trial: a qualitative study.

Authors:  Deesha Patel; Ajiri Akporobaro; Nyasha Chinyanganya; Allan Hackshaw; Clive Seale; Stephen G Spiro; Chris Griffiths
Journal:  Thorax       Date:  2011-11-21       Impact factor: 9.139

5.  Impact of patient navigation on timely cancer care: the Patient Navigation Research Program.

Authors:  Karen M Freund; Tracy A Battaglia; Elizabeth Calhoun; Julie S Darnell; Donald J Dudley; Kevin Fiscella; Martha L Hare; Nancy LaVerda; Ji-Hyun Lee; Paul Levine; David M Murray; Steven R Patierno; Peter C Raich; Richard G Roetzheim; Melissa Simon; Frederick R Snyder; Victoria Warren-Mears; Elizabeth M Whitley; Paul Winters; Gregory S Young; Electra D Paskett
Journal:  J Natl Cancer Inst       Date:  2014-06-17       Impact factor: 13.506

6.  Selection criteria for lung-cancer screening.

Authors:  Martin C Tammemägi; Hormuzd A Katki; William G Hocking; Timothy R Church; Neil Caporaso; Paul A Kvale; Anil K Chaturvedi; Gerard A Silvestri; Tom L Riley; John Commins; Christine D Berg
Journal:  N Engl J Med       Date:  2013-02-21       Impact factor: 91.245

7.  Evaluation of factors potentially associated with inadequate follow-up of mammographic abnormalities.

Authors:  B D McCarthy; M U Yood; N K Janz; E A Boohaker; R E Ward; C C Johnson
Journal:  Cancer       Date:  1996-05-15       Impact factor: 6.860

8.  Patient navigation improves cancer diagnostic resolution: an individually randomized clinical trial in an underserved population.

Authors:  Peter C Raich; Elizabeth M Whitley; William Thorland; Patricia Valverde; Diane Fairclough
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-10       Impact factor: 4.254

9.  A gene-based risk score for lung cancer susceptibility in smokers and ex-smokers.

Authors:  R P Young; R J Hopkins; B A Hay; M J Epton; G D Mills; P N Black; H D Gardner; R Sullivan; G D Gamble
Journal:  Postgrad Med J       Date:  2009-10       Impact factor: 2.401

10.  Screening for lung cancer: U.S. Preventive Services Task Force recommendation statement.

Authors:  Virginia A Moyer
Journal:  Ann Intern Med       Date:  2014-03-04       Impact factor: 25.391

View more
  6 in total

1.  Use of Imaging and Diagnostic Procedures After Low-Dose CT Screening for Lung Cancer.

Authors:  Shawn P E Nishi; Jie Zhou; Ikenna Okereke; Yong-Fang Kuo; James Goodwin
Journal:  Chest       Date:  2019-09-12       Impact factor: 9.410

2.  Lung cancers and pulmonary nodules detected by computed tomography scan: a population-level analysis of screening cohorts.

Authors:  Caichen Li; Jing Liao; Bo Cheng; Jianfu Li; Hengrui Liang; Yu Jiang; Zixuan Su; Shan Xiong; Feng Zhu; Yi Zhao; Ran Zhong; Feng Li; Jianxing He; Wenhua Liang
Journal:  Ann Transl Med       Date:  2021-03

3.  Utility of incorporating a gene-based lung cancer risk test on uptake and adherence in a community-based lung cancer screening pilot study.

Authors:  V K Lam; R J Scott; P Billings; E Cabebe; R P Young
Journal:  Prev Med Rep       Date:  2021-05-16

4.  Using a genetic/clinical risk score to stop smoking (GeTSS): randomised controlled trial.

Authors:  John A A Nichols; Paul Grob; Wendy Kite; Peter Williams; Simon de Lusignan
Journal:  BMC Res Notes       Date:  2017-10-23

5.  Population impact of lung cancer screening in the United States: Projections from a microsimulation model.

Authors:  Steven D Criss; Deirdre F Sheehan; Lauren Palazzo; Chung Yin Kong
Journal:  PLoS Med       Date:  2018-02-07       Impact factor: 11.069

6.  Reproducible Machine Learning Methods for Lung Cancer Detection Using Computed Tomography Images: Algorithm Development and Validation.

Authors:  Kun-Hsing Yu; Tsung-Lu Michael Lee; Ming-Hsuan Yen; S C Kou; Bruce Rosen; Jung-Hsien Chiang; Isaac S Kohane
Journal:  J Med Internet Res       Date:  2020-08-05       Impact factor: 5.428

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.