Interscan variation of semi-automated volumetry of subsolid pulmonary nodules
Publication year
2015Source
European Radiology, 25, 4, (2015), pp. 1040-1047ISSN
Publication type
Article / Letter to editor
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Organization
Medical Imaging
Journal title
European Radiology
Volume
vol. 25
Issue
iss. 4
Page start
p. 1040
Page end
p. 1047
Subject
Radboudumc 16: Vascular damage RIHS: Radboud Institute for Health Sciences; Radboudumc 9: Rare cancers RIHS: Radboud Institute for Health SciencesAbstract
We aimed to test the interscan variation of semi-automatic volumetry of subsolid nodules (SSNs), as growth evaluation is important for SSN management.From a lung cancer screening trial all SSNs that were stable over at least 3 months were included (N = 44). SSNs were quantified on the baseline CT by two observers using semi-automatic volumetry software for effective diameter, volume, and mass. One observer also measured the SSNs on the second CT 3 months later. Interscan variation was evaluated using Bland-Altman plots. Observer agreement was calculated as intraclass correlation coefficient (ICC). Data are presented as mean (± standard deviation) or median and interquartile range (IQR). A Mann-Whitney U test was used for the analysis of the influence of adjustments on the measurements.Semi-automatic measurements were feasible in all 44 SSNs. The interscan limits of agreement ranged from -12.0 \% to 9.7 \% for diameter, -35.4 \% to 28.6 \% for volume and -27.6 \% to 30.8 \% for mass. Agreement between observers was good with intraclass correlation coefficients of 0.978, 0.957, and 0.968 for diameter, volume, and mass, respectively.Our data suggest that when using our software an increase in mass of 30 \% can be regarded as significant growth.• Recently, recommendations regarding subsolid nodules have stressed the importance of growth quantification. • Volumetric measurement of subsolid nodules is feasible with good interscan agreement. • Increase of mass of 30 \% can be regarded as significant growth.
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- Academic publications [243984]
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- Faculty of Medical Sciences [92811]
- Open Access publications [104973]
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