Which risk models are preferred by the NCI and ACS for non–small cell lung cancer (NSCLC) screening?

Updated: Jun 05, 2020
  • Author: Winston W Tan, MD, FACP; Chief Editor: Nagla Abdel Karim, MD, PhD  more...
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Answer

Risk models for screening

A study by researchers from the National Cancer Institute (NCI) and the American Cancer Society that reviewed nine risk prediction models determined that the following four models were more accurate than the others for predicting lung cancer risk and for selecting patients who had ever-smoked for lung cancer screening:

  • Bach model
  • Ovarian Cancer Screening Trial Model 2012 (PLCO-M2012)
  • Lung Cancer Risk Assessment Tool (LCRAT)
  • Lung Cancer Death Risk Assessment Tool (LCDRAT)

Although the researchers concluded that that any of those models could be used to select US smokers who are at the greatest risk for lung cancer incidence or death, all the models have limitations. The Bach model does not account for race/ethnicity, family history of lung cancer, or presence of chronic obstructive pulmonary disease; the PLCO-M2012 model underestimated lung cancer risk in people of Hispanic descent by a factor of 2 to 3, and the LCRAT and LCDRAT models both underestimated risk in the "Asian/other" subgroup. [74, 75]


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