Image Subtraction Facilitates Assessment of Volume and Density Change in Ground-Glass Opacities in Chest CT

Abstract

Objectives: 

To study the impact of image subtraction of registered images on the detection of change in pulmonary ground-glass nodules identified on chest CT.

Materials and Methods: 

A cohort of 33 individuals (25 men, 8 women; age range 51–75 years) with 37 focal ground-glass opacities (GGO) were recruited from a lung cancer screening trial. For every participant, 1 to 3 follow-up scans were available (total number of pairs, 84). Pairs of scans of the same nodule were registered nonrigidly and then subtracted to enhance differences in size and density. Four observers rated size and density change of the GGO between pairs of scans by visual comparison alone and with additional availability of a subtraction image and indicated their confidence. An independent experienced chest radiologist served as an arbiter having all reader data, clinical data, and follow-up examinations available. Nodule pairs for which the arbiter could not establish definite progression, regression, or stability were excluded from further evaluation. This left 59 and 58 pairs for evaluation of size and density change, respectively. Weighted kappa statistics (κ_w) were used to assess interobserver agreement and agreement with the arbiter. Statistical significance was tested with a κ z-test.

Results: 

When the subtraction image was available, the average interobserver κ_w improved from 0.52 to 0.66 for size change and from 0.47 to 0.57 for density change. Average agreement with the arbiter improved from 0.61 to 0.76 for size change and from 0.53 to 0.64 for density change. The effect was more pronounced when observer confidence without the subtraction image was low: agreement improved from 0.26 to 0.57 and from 0.19 to 0.47 in those cases.

Conclusions: 

Image subtraction improves the evaluation of subtle changes in pulmonary ground-glass opacities and decreases interobserver variability.