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Computed tomographic screening for lung cancer: Individualising the benefit of the screening

  • C. I. Henschke
  • , D. F. Yankelevitz
  • , D. I. McCauley
  • , S. Sone
  • , T. Hanaoka
  • , S. Markowitz
  • , A. Miller
  • , K. Klingler
  • , T. Scherer
  • , R. Inderbitzi
  • , J. Zulueta
  • , L. Montuenga
  • , G. Bastarrika
  • , S. Giunta
  • , M. Crecco
  • , P. Pugliese
  • , M. Tockman
  • , D. Shaham
  • , K. Rice
  • , R. Aye
  • H. Roberts, D. Patsios, T. Bauer, J. Lally, J. H.M. Austin, G. D.N. Pearson, D. Naidich, G. McGuinness, M. Rifkin, E. Fiore, S. Kopel, D. Klippenstein, A. Litwin, P. A. Loud, L. J. Kohman, E. M. Scalzetti, A. Khan, R. Shah, M. V. Smith, H. T. Williams, L. Lovett, D. S. Mendelson, R. Thurer, R. T. Heelan, M. S. Ginsberg, F. Sullivan, M. Ottinger, D. Vafai, T. A.S. Matalon, S. L. Odzer, X. Liu, B. Sheppard, E. Cole, P. H. Wiernik, D. Ray, H. Pass, C. Endress, D. Mullen, M. Kalafer, F. Grannis, A. Rotter, M. K. Thorsen, R. Hansen, E. Camacho, D. Luedke
  • New York Presbyterian Hospital
  • Cornell University
  • Azumi General Hospital
  • City University of New York
  • LungenZentrum Hirslanden
  • University of Navarra
  • IRCCS Istituti fisioterapici ospitalieri - Istituto Regina Elena
  • Moffitt Cancer Center
  • Hadassah University Medical Centre
  • Swedish Medical Center
  • University of Toronto
  • Christiana Care Health System
  • Columbia University
  • New York University
  • Stony Brook University
  • Maimonides Medical Center
  • Roswell Park Cancer Institute
  • SUNY Upstate Medical University
  • Northwell Health System
  • Georgia Institute for Lung Cancer Research
  • Icahn School of Medicine at Mount Sinai
  • Jackson Health System
  • Memorial Sloan-Kettering Cancer Center
  • Holy Cross Hospital
  • Eisenhower Medical Center
  • New York Medical College
  • Mount Sinai Medical Center Miami Beach
  • Sun Yat-Sen University
  • Sutter Health
  • St Agnes Cancer Center
  • Our Lady of Mercy Medical Center
  • Evanston Northwestern Healthcare
  • Wayne State University
  • Yale New Haven Health System
  • Sharp Healthcare
  • City of Hope National Med Center
  • ProHealth Care Regional Cancer Center
  • Desert Regional Medical Center
  • St Joseph Health Center

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

Individuals concerned about their risk of lung cancer are recommended to talk with their physicians about computed tomographic screening for lung cancer. To provide the necessary information, the survival benefit of the screening, specific to a particular person for a particular round of screening, is needed. The probability of survival gain from the first, baseline, round of screening was addressed as the product of: 1) the screening resulting in a diagnosis of lung cancer; 2) not dying from some other cause for a sufficiently long period of time; and 3) cure resulting from pre-symptomatic treatment of lung cancer. These probabilities were estimated using the International Early Lung Cancer Action Program data on individuals aged 40-85 yrs with a cigarette smoking history of 0-150 pack-yrs. The estimated probability of survival gain ranged from 0.4% for a 60-yr-old with a 10-pack-yr smoking history who quit smoking 20 yrs ago, to 3.1% for a 70-yr-old current smoker with a 100 pack-yr history and 2.0% for an 85-yr-old current smoker with a 150-pack-yr history. When seeking counsel about initiation of screening for lung cancer, an estimate of the probability of survival gain from the first round of computed tomographic screening, specific to the person's age and history of smoking, can be provided. Copyright

Original languageEnglish
Pages (from-to)843-847
Number of pages5
JournalEuropean Respiratory Journal
Volume30
Issue number5
DOIs
StatePublished - Nov 2007

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • International Early Lung Cancer Action Program
  • Lung cancer
  • Survival

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