Publications by authors named "C M Geric"
Background: Pulmonary TB (PTB) predominantly affects individuals of working age. We sought to characterise the occupations of people newly diagnosed with PTB in Karachi, Pakistan, by type and physical intensity.
Design/methods: We did a secondary analysis of data from a study evaluating the diagnostic accuracy of artificial intelligence-based chest X-ray (CXR) analysis software, where individuals had been evaluated for active PTB using sputum cultures and had provided information on occupation.
Objectives: Computer-aided detection (CAD) software packages quantify tuberculosis (TB)-compatible chest X-ray (CXR) abnormality as continuous scores. In practice, a threshold value is selected for binary CXR classification. We assessed the diagnostic accuracy of an alternative approach to applying CAD for TB triage: incorporating CAD scores in multivariable modeling.
View Article and Find Full Text PDFArticle Synopsis
- Computer-aided detection (CAD) may serve as a beneficial screening tool for tuberculosis (TB), especially in communities affected by HIV, but limited data exist on its effectiveness in such settings.
- A systematic review of 1,748 articles published between January 2012 and February 2023 identified only 5 studies that met rigorous criteria for evaluating CAD against established TB testing standards, revealing a pooled sensitivity of 0.87 and specificity of 0.74.
- Despite its potential as a cost-effective screening tool, the review highlights significant methodological concerns, indicating a need for caution in applying these findings more broadly due to biases and limited study quality.
We provide an overview of the latest evidence on computer-aided detection (CAD) software for automated interpretation of chest radiographs (CXRs) for TB detection. CAD is a useful tool that can assist in rapid and consistent CXR interpretation for TB. CAD can achieve high sensitivity TB detection among people seeking care with symptoms of TB and in population-based screening, has accuracy on-par with human readers.
View Article and Find Full Text PDFObjectives: We applied computer-aided detection (CAD) software for chest X-ray (CXR) analysis to determine if diabetes affects the radiographic presentation of tuberculosis.
Methods: From March 2017-July 2018, we consecutively enrolled adults being evaluated for pulmonary tuberculosis in Karachi, Pakistan. Participants had same-day CXR, two sputum mycobacterial cultures, and random blood glucose measurement.