A mathematical simulation to assess variability in lung nodule size measurement associated with nodule-slice position Journal Article


Authors: Juluru, K.; Al Khori, N.; He, S.; Kuceyeski, A.; Eng, J.
Article Title: A mathematical simulation to assess variability in lung nodule size measurement associated with nodule-slice position
Abstract: The purpose of this study is to assess the variance and error in nodule diameter measurement associated with variations in nodule-slice position in cross-sectional imaging. A computer program utilizing a standard geometric model was used to simulate theoretical slices through a perfectly spherical nodule of known size, position, and density within a background of “lung” of known fixed density. Assuming a threshold density, partial volume effect of a voxel was simulated using published slice and pixel sensitivity profiles. At a given slice thickness and nodule size, 100 scans were simulated differing only in scan start position, then repeated for multiple node sizes at three simulated slice thicknesses. Diameter was measured using a standard, automated algorithm. The frequency of measured diameters was tabulated; average errors and standard deviations (SD) were calculated. For a representative 5-mm nodule, average measurement error ranged from +10 to −23 % and SD ranged from 0.07 to 0.99 mm at slice thicknesses of 0.75 to 5 mm, respectively. At fixed slice thickness, average error and SD decreased from peak values as nodule size increased. At fixed nodule size, SD increased as slice thickness increased. Average error exhibited dependence on both slice thickness and threshold. Variance and error in nodule diameter measurement associated with nodule-slice position exists due to geometrical limitations. This can lead to false interpretations of nodule growth or stability that could affect clinical management. The variance is most pronounced at higher slice thicknesses and for small nodule sizes. Measurement error is slice thickness and threshold dependent. © 2014, Society for Imaging Informatics in Medicine.
Keywords: lung neoplasms; simulation; computerized tomography; biological organs; chest ct; measurement errors; partial volume effect; clinical oncology; automated algorithms; volume measurement; cross-sectional imaging; mathematical simulations
Journal Title: Journal of Digital Imaging
Volume: 28
Issue: 3
ISSN: 0897-1889
Publisher: Springer  
Date Published: 2015-06-01
Start Page: 373
End Page: 379
Language: English
DOI: 10.1007/s10278-014-9753-5
PROVIDER: scopus
PMCID: PMC4441698
PUBMED: 25527129
DOI/URL:
Notes: Export Date: 2 July 2015 -- Source: Scopus
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  1. Krishna   Juluru
    35 Juluru