Lesion measurement on a combined "all-in-one" window for chest CT: effect on intra- and interobserver variability

Annemiek Snoeckx, Jeroen Cant, Caro Franck, Elisa Luyckx, Ken Carpentier, Simon Nicolay, Astrid Van Hoyweghen, Maarten J. Spinhoven, Pieter Vuylsteke, Paul M. Parizel

Research output: Contribution to journalArticle

Abstract

PURPOSE: A newly developed image processing technique fuses conventional windows into a single 'All-In-One' (AIO) window. This study aims to evaluate variability of CT measurement of lesions in thoracic oncology patients on this novel AIO-window.

METHODS: Six radiologists with different levels of expertise measured 368 lesions of various size, origin and sharpness. All lesions were measured twice on the AIO-window and twice on the conventional window settings. Intraclass correlation coefficients and Bland-Altman plots were used to assess intra- and interobserver variability.

RESULTS: Overall intra-observer agreement for lesion diameters on the AIO-window and conventional window settings was 0.986 (95% Confidence interval (CI): 0.983-0.989) and 0.991 (95% CI 0.989-0.993) respectively. For interobserver agreement this was 0.982 (95% CI 0.979-0.985) (AIO) and 0.979 (95% CI 0.957-0.982) (conventional). For both the AIO and conventional windows, intra- and interobserver agreement were dependent on size, sharpness and reader experience. Measurement variability decreased with increasing lesion size. Regarding sharpness, inter- and intra-observer agreement ranged from 0.986-0.989 (AIO) and 0.985-0.992 (conventional) for well-defined lesions and from 0.978-0.983 (AIO) and 0.974-0.991 (conventional) for ill-defined lesions.

CONCLUSIONS: Lesion diameters were consistently smaller on the AIO-window compared to conventional window settings. Overall intra- and interobserver variability rates were similar for the AIO-window and conventional window settings. We conclude that the AIO-window offers a reliable and reproducible alternative for measurement of thoracic lesions.

Original languageEnglish
Article number78
Number of pages9
JournalCancer Imaging
Volume19
Issue number1
DOIs
Publication statusPublished - 29 Nov 2019
Externally publishedYes

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