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2015-05-21

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cc by (c) Requena-Mendez et al., 2015
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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Recurs relacionat

http://dx.doi.org/10.1371/journal.pone.0128044

Resum

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.

Matèries

Tuberculosi, Radiografia, Programari lliure, Processament d'imatges, Perú

Matèries (anglès)

Tuberculosis, Radiography, Open source software, Image processing, Peru

Citació

Col·leccions

Articles publicats en revistes (ISGlobal)
Articles publicats en revistes (Medicina)

Citació

REQUENA-MÉNDEZ, Ana, et al. Robust and Reproducible Quantification of the Extent of Chest
                Radiographic Abnormalities (And It's Free!). PLoS One. 2015. Vol. 10, num. 5, pags. e0128044. ISSN 1932-6203. [consulted: 15 of August of 2026]. Available at: https://hdl.handle.net/2445/69166

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