Volume 14 Supplement 1
Agreement of diameter- and volume-based pulmonary nodule management in CT lung cancer screening
© Heuvelmans et al; licensee BioMed Central Ltd. 2014
Published: 9 October 2014
To determine the agreement of manual and semi-automatic (SA) diameter and volume measurements of nodules found in low-dose computed tomography lung cancer screening.
Baseline data of 2,240 solid intermediate-sized nodules (volume 50-500mm3) in 1,498 Dutch-Belgian NELSON trial participants were used. Extrapolated volume based on semi-automatic (SA) maximum diameter and mean of maximum transversal and perpendicular diameter were compared to SA volume measurements by Bland-Altman plots. Analyses were repeated by margin (smooth, lobulated, spiculated, and irregular) and shape (spherical or non-spherical). In 100 randomly selected nodules, diameters were measured manually by two independent radiologists, and compared to the SA diameters.
Median participant age was 59-years (interquartile range:8), 14.2% were women. Compared to SA volume, volume extrapolated from SA mean or maximum diameter led to mean overestimation of 47.2% (95%-confidence interval (CI): 44.7-49.7%) and 85.1% (95%-CI:81.2-89.0%), respectively. For irregular and non-spherical nodules, mean overestimation was higher; 161.7% (95%-CI:131.7%-191.8%) and 168.9% (95%-CI:155.2%-182.5%), respectively. Manual diameter measurement overestimated SA maximum diameter by ≥10% in 44% (44/100) and underestimated by ≥10% in 18% (18/100) of the nodules. Using a 10-mm criterion for referral, SA maximum diameter measurements of indeterminate nodules would have led to direct referral in 7.9% (177/2240). Manual measurements would have led to 31% (31/100) referrals.
The agreement between manual and SA diameter, as well as between volume extrapolated from SA diameter and SA volume is poor. Applying manual and SA diameter measurement in CT lung cancer screening leads to a substantial shift in nodule stratification compared to SA volume measurements.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.