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2012 EDUCATIONAL BOOK - American Society of Clinical Oncology

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LUNG CANCER SCREENING<br />

Fig. 2. Guidelines published by the National Comprehensive Cancer Network for the diagnostic evaluation <strong>of</strong> positive screens in which<br />

non-solid (ground glass) nodules are detected. Abbreviations: LDCT, low-dose helical computed tomography. Reproduced with permission from<br />

the NCCN <strong>Clinical</strong> Practice Guidelines in <strong>Oncology</strong> (NCCN Guidelines for Lung Cancer Screening V.1.<strong>2012</strong>). © <strong>2012</strong> National Comprehensive<br />

Cancer Network, Inc. All rights reserved. The NCCN Guidelines and illustrations herein may not be reproduced in any form for any purpose<br />

without the express written permission <strong>of</strong> the NCCN. To view the most recent and complete version <strong>of</strong> the NCCN Guidelines, go online to<br />

NCCN.org. NATIONAL COMPREHENSIVE CANCER NETWORK ® , NCCN ® , NCCN GUIDELINES ® , and all other NCCN Content are trademarks owned<br />

by the National Comprehensive Cancer Network, Inc.<br />

Opportunities<br />

There are major opportunities to be gained in the process<br />

<strong>of</strong> screening implementation. The NLST successfully addressed<br />

the critical endpoint <strong>of</strong> differential lung cancer<br />

mortality, and secondary analyses will inform the costeffectiveness<br />

<strong>of</strong> LDCT in older, heavy smokers. However,<br />

broad-scale implementation <strong>of</strong> LDCT screening is predicated<br />

on several variables that the NLST does not directly address<br />

and for which further research is crucial. Among these are<br />

considerations <strong>of</strong> the optimal risk pr<strong>of</strong>ile <strong>of</strong> those who are<br />

screened, and how risk pr<strong>of</strong>iles might be used to guide<br />

diagnostic strategies.<br />

Morphologic features <strong>of</strong> indeterminate lung nodules on<br />

CT have been studied as potential predictors <strong>of</strong> lung cancer.<br />

Most analyses have relied on subjective visual assessment<br />

<strong>of</strong> nodule features such as: size (diameter), consistency<br />

(ground glass, part-solid, or solid), border definition, and<br />

internal features, such as reticulation, air bronchograms<br />

and bubble-like lucencies. 37 Quantitative analysis <strong>of</strong> lung<br />

nodules using CAD seeks to characterize nodules by math-<br />

ematical feature descriptors. We are at the cusp <strong>of</strong> validating<br />

analytic s<strong>of</strong>tware that can reproducibly characterize<br />

lung nodules across a range <strong>of</strong> nodule types. 38,39 Such<br />

nodule characterization could become standard in the diagnostic<br />

stratification <strong>of</strong> individuals with indeterminate nodules.<br />

Between 80% and 90% <strong>of</strong> lung cancers occur in tobacco<br />

smokers, yet only 10% to 15% <strong>of</strong> chronic smokers develop<br />

lung cancer. Prospective studies have also shown that approximately<br />

25% <strong>of</strong> smokers develop COPD as defined by<br />

spirometry, whereas 50% to 80% <strong>of</strong> patients with lung<br />

cancer have COPD. 40,41 Relative to smokers with normal<br />

lung function, those with COPD have up to a six-fold<br />

increased risk <strong>of</strong> lung cancer, making COPD by far the<br />

greatest risk factor for lung cancer in ever smokers. 41 These<br />

observations suggest an inherently greater risk <strong>of</strong> lung<br />

cancer among smokers with COPD than smokers with<br />

normal lung function. Although COPD and lung cancer have<br />

in common smoking exposure, several lines <strong>of</strong> evidence now<br />

support underlying shared genetic susceptibility that acts in<br />

455

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