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

ABSTRACT:

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

SUBMITTER: Requena-Mendez A 

PROVIDER: S-EPMC4440724 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature