Components necessary for high-quality lung cancer screening: American College of Chest Physicians and American Thoracic Society Policy Statement

Chest. 2015 Feb;147(2):295-303. doi: 10.1378/chest.14-2500.

Abstract

Lung cancer screening with a low-dose chest CT scan can result in more benefit than harm when performed in settings committed to developing and maintaining high-quality programs. This project aimed to identify the components of screening that should be a part of all lung cancer screening programs. To do so, committees with expertise in lung cancer screening were assembled by the Thoracic Oncology Network of the American College of Chest Physicians (CHEST) and the Thoracic Oncology Assembly of the American Thoracic Society (ATS). Lung cancer program components were derived from evidence-based reviews of lung cancer screening and supplemented by expert opinion. This statement was developed and modified based on iterative feedback of the committees. Nine essential components of a lung cancer screening program were identified. Within these components 21 Policy Statements were developed and translated into criteria that could be used to assess the qualification of a program as a screening facility. Two additional Policy Statements related to the need for multisociety governance of lung cancer screening were developed. High-quality lung cancer screening programs can be developed within the presented framework of nine essential program components outlined by our committees. The statement was developed, reviewed, and formally approved by the leadership of CHEST and the ATS. It was subsequently endorsed by the American Association of Throacic Surgery, American Cancer Society, and the American Society of Preventive Oncology.

Publication types

  • Consensus Development Conference

MeSH terms

  • Health Policy
  • Humans
  • Lung Neoplasms / diagnostic imaging*
  • Lung Neoplasms / epidemiology
  • Mass Screening / standards*
  • Risk Assessment
  • Solitary Pulmonary Nodule / diagnostic imaging
  • Tomography, X-Ray Computed / statistics & numerical data*