Journal Article

Robust and Reproducible Quantification of the Extent of Chest Radiographic Abnormalities (And It’s Free!)

Muñoz, Jose, Aldasoro, Edelweiss, Moore, David A. J., Requena-Méndez, Ana

2015

Overview

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. 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. 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. 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.

• Publisher: Public Library of Science,Public Library of Science (PLoS)
• Subject: Abnormalities / Care and treatment / Cavitation / Chest / Chest x-rays / Clinical trials / Computer programs / Consent / Correlation analysis / Correlation coefficient / Correlation coefficients / Diagnosis / Digital cameras / Digital imaging / Evaluation / Hospitals / Humans / Image processing / Image Processing, Computer-Assisted - methods / Lung - diagnostic imaging / Lung - pathology / Lung diseases / Lungs / Medical research / Open source software / Patients / Peru / Perú / Pharmacokinetics / Pharmacology / Processament d'imatges / Programari lliure / Pulmonary tuberculosis / Radiografia / Radiographs / Radiography / Radiography, Thoracic - methods / Radiography, Thoracic - standards / Reading / Reproducibility of Results / Robustness / Software / Thorax - pathology / Tuberculosi / Tuberculosis / Tuberculosis, Pulmonary - diagnostic imaging / Tuberculosis, Pulmonary - drug therapy / Tuberculosis, Pulmonary - pathology