Improving identification of candidates for lung cancer screening in a high risk population

Mark R. Waddle, Stephen J. Ko, Jackson May, Tasneem Kaleem, Daniel H. Miller, William C. Stross, Timothy D. Malouff, Katey Wert, Kristin Cuthbert, Robin Landy, Gerald Strong, Laura A. Vallow, Margaret M. Johnson

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Low dose computerized tomography (LDCT) has been shown to reduce lung cancer specific mortality by 20 %. Despite U.S. Preventive Services Task Force (USPSTF) endorsement, screening of appropriate patients in the U.S. remains low, at 1.9 %. The goal of this study was to assess the number and type of patients that would qualify for lung cancer screening based upon recommendations by various guidelines. Methods: We prospectively collected a patient reported questionnaire, including smoking history, family history, exposure history, and demographics, from April-October 2017 from new consults in the Department of Radiation Oncology and Otolaryngology (ORL). Patients smoking status and patient factors were collected and reported. Patients qualifying for screening by USPSTF, the National Comprehensive Cancer Network (NCCN), and Tammemagi scoring criteria were identified. Multivariate analysis assessed the factors associated with positive criteria for screening and the sensitivity of each criterion was calculated. Results: There were 546 new consults during the study period and 528 successfully completed the questionnaire. A total of 104/528 (20 %) patients who completed questionnaires qualified for screening based on any guideline. After exclusion of active lung cancer (n = 19), poor prognosis (n = 24), and CT as part of surveillance (n = 16), 45 (8.5 %) patients would require LDCT. Of the entire population, 10 %, 11 % and 18 % of patients qualified based on USPSTF, NCCN, and Tammemagi, which was reduced to 4.9 %, 5.3 %, and 7.8 %, respectively after exclusions. Patients with head and neck cancer (40 %), skin cancer (27 %), and prostate cancer (11 %) accounted for the majority of patients eligible for screening after exclusions. The sensitivity of the USPSTF, NCCN, and Tammemagi criteria in patients with a diagnosis of lung cancer (n = 26) was 38.5 % (CI95 20.2 %–59.4 %), 46.2 % (CI95 26.6 %–66.6 %), and 61.5 % (CI95 40.6 %–79.8 %), respectively. Conclusions: We successfully identified 9 % of an oncology population at consultation who could benefit from lung cancer screening in survivorship. Distribution of a written or electronic questionnaire at consultation is a simple, low cost, effective method of identifying patients who would benefit from LDCT.

Original languageEnglish (US)
Pages (from-to)79-85
Number of pages7
JournalLung Cancer
Volume148
DOIs
StatePublished - Oct 2020

Keywords

  • Cancer
  • CT
  • High risk
  • Lung cancer
  • Screening

ASJC Scopus subject areas

  • Oncology
  • Pulmonary and Respiratory Medicine
  • Cancer Research

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