Studies have shown high variability in human scoring of CXRs with wide ranges of sensitivity and specificity –. Digital scoring of CXR therefore has the potential to increase the use of CXR in these settings as it does not have these limitations. In high burden TB and HIV settings, the use of CXR in TB diagnosis has been limited by the scarcity of personnel that can interpret CXR correctly but also by the large work load required to read CXRs manually. ![]() The advances in digital technology have made CXR cheaper, easier to use because films and chemicals are no longer needed and more reliable because automatic exposure control largely avoids unreadable images and also makes it possible to score CXRs digitally using computer aided diagnosis (CAD) –. Particularly, there has been an increasing interest in developing computer aided diagnostic systems for detection of TB –. Recently there has been renewed interest in the role of chest x-ray (CXR) in the diagnosis of tuberculosis (TB), especially with advances that have been made with digital technology. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: The authors have declared that no competing interests exist. , Sub grant- Delft Imaging systems-CAD4TBII. ![]() This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.įunding: Funding sources: T9-370-114 World Health Organization through the stop TB partnership-TB REACH wave 2 grant. Received: OctoAccepted: MaPublished: April 4, 2014Ĭopyright: © 2014 Muyoyeta et al. Wilkinson, Institute of Infectious Diseases and Molecular Medicine, South Africa ![]() (2014) The Sensitivity and Specificity of Using a Computer Aided Diagnosis Program for Automatically Scoring Chest X-Rays of Presumptive TB Patients Compared with Xpert MTB/RIF in Lusaka Zambia. Citation: Muyoyeta M, Maduskar P, Moyo M, Kasese N, Milimo D, Spooner R, et al.
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