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Lesion measurement on a combined "all-in-one" window for chest CT: effect on intra- and interobserver variability.
- Source :
-
Cancer imaging : the official publication of the International Cancer Imaging Society [Cancer Imaging] 2019 Nov 29; Vol. 19 (1), pp. 78. Date of Electronic Publication: 2019 Nov 29. - Publication Year :
- 2019
-
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.<br />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.<br />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.<br />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.
- Subjects :
- Adult
Aged
Aged, 80 and over
Female
Humans
Image Processing, Computer-Assisted standards
Lung Neoplasms diagnostic imaging
Male
Middle Aged
Multidetector Computed Tomography standards
Observer Variation
Reproducibility of Results
Retrospective Studies
Abdomen diagnostic imaging
Image Processing, Computer-Assisted methods
Multidetector Computed Tomography methods
Neoplasms diagnostic imaging
Thorax diagnostic imaging
Subjects
Details
- Language :
- English
- ISSN :
- 1470-7330
- Volume :
- 19
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Cancer imaging : the official publication of the International Cancer Imaging Society
- Publication Type :
- Academic Journal
- Accession number :
- 31783926
- Full Text :
- https://doi.org/10.1186/s40644-019-0262-0