2026-04-17T03:35:40Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/691662025-11-21T05:31:54Zcom_2072_1057col_2072_478917col_2072_478921

00925njm 22002777a 4500 dc Requena-Méndez, Ana author Aldasoro, Edelweiss author Muñoz, José author Moore, David A. J. author 2016-02-03T09:04:30Z 2016-02-03T09:04:30Z 2015-05-21 2016-02-02T15:33:28Z 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. Tuberculosi Radiografia Programari lliure Processament d'imatges Perú Tuberculosis Radiography Open source software Image processing Peru Robust and Reproducible Quantification of the Extent of Chest Radiographic Abnormalities (And It's Free!)