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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/69166
Robust and Reproducible Quantification of the Extent of Chest Radiographic Abnormalities (And It's Free!)
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RATIONALE: Objective, reproducible quantification of the extent
of abnormalities seen on a chest radiograph would improve the
user-friendliness of a previously proposed severity scoring
system for pulmonary tuberculosis and could be helpful in
monitoring response to therapy, including in clinical trials.
METHODS: In this study we report the development and evaluation
of a simple tool using free image editing software (GIMP) to
accurately and reproducibly quantify the area of affected lung
on the chest radiograph of tuberculosis patients. As part of a
pharmacokinetic study in Lima, Peru, a chest radiograph was
performed on patients with pulmonary tuberculosis and this was
subsequently photographed using a digital camera. The GIMP
software was used by two independent and trained readers to
estimate the extent of affected lung (expressed as a percentage
of total lung area) in each radiograph and the resulting
radiographic SCORE. RESULTS: 56 chest radiographs were included
in the reading analysis. The Intraclass correlation coefficient
(ICC) between the 2 observers was 0.977 (p<0.001) for the
area of lung affected and was 0.955 (p<0.001) for the final
score; and the kappa coefficient of Interobserver agreement for
both the area of lung affected and the score were 0.9
(p<0.001) and 0.86 (p<0.001) respectively. CONCLUSIONS:
This high level of between-observer agreement suggests that this
freely available software could constitute a simple and useful
tool for robust evaluation of individual and serial chest
radiographs.
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REQUENA-MÉNDEZ, Ana, ALDASORO, Edelweiss, MUÑOZ, José, MOORE, David a. j.. Robust and Reproducible Quantification of the Extent of Chest
Radiographic Abnormalities (And It's Free!). _PLoS One_. 2015. Vol. 10, núm. 5, pàgs. e0128044. [consulta: 21 de gener de 2026]. ISSN: 1932-6203. [Disponible a: https://hdl.handle.net/2445/69166]