The Performance of Computer-Aided Detection Digital Chest X-ray Reading Technologies for Triage of Active Tuberculosis Among Persons With a History of Previous Tuberculosis.

Background: Digital chest X-ray (dCXR) computer-aided detection (CAD) technology uses lung shape and texture analysis to determine the probability of tuberculosis (TB). However, many patients with previously treated TB have sequelae, which also distort lung shape and texture. We evaluated the diagnostic performance of 2 CAD systems for triage of active TB in patients with previously treated TB.

The use a virtual interactive system to enhance gynecologic oncology multi-disciplinary care in Zambia.

Background: Gynecologic malignancies represent a significant proportion of the increasing cancer burden in Zambia. The care and outcomes of cancer patients improves in a multidisciplinary team but insufficient coordination in weak health systems is a barrier to this model of care. The World Health Organization (WHO) identifies digital health interventions as tools to bridge the gap between challenges and health systems' goals in low resource environments.

Clinical and radiographic characteristics of presumptive tuberculosis patients previously treated for tuberculosis in Zambia.

Background: Persistent respiratory symptoms and radiographic abnormalities are common among individuals previously treated for tuberculosis (TB) and may contribute to misdiagnosis and incorrect treatment when they seek care. We sought to determine if clinical and radiographic characteristics differed among previously treated, presumptive TB patients according to their current TB disease status.

Methods: Adults (>18 years of age) seeking care at a public health facility in Lusaka, Zambia were systematically evaluated for active TB using symptom screening and chest X-ray.