Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system
| Autor: | Syed Mohammad Asad Zaidi, Farhan Amad, Maurits Verhagen, Aamir Khan, Jaime Melendez, Ernst T. Scholten, Rick H. H. M. Philipsen, Annet Meijers, Bram van Ginneken, Steven Schalekamp, Keelin Murphy, Saira Khowaja, Shifa Salman Habib |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Male
FOS: Computer and information sciences 0301 basic medicine Databases Factual Computer science Computer Vision and Pattern Recognition (cs.CV) Radiography Computer Science - Computer Vision and Pattern Recognition lcsh:Medicine 01 natural sciences Pakistan lcsh:Science Observer Variation 010302 applied physics Multidisciplinary GeneXpert MTB/RIF Image and Video Processing (eess.IV) Middle Aged Radiological weapon Radiographic Image Interpretation Computer-Assisted Female Radiography Thoracic Rare cancers Radboud Institute for Health Sciences [Radboudumc 9] Adult medicine.medical_specialty Tuberculosis Sensitivity and Specificity Article Young Adult 03 medical and health sciences Pulmonary tuberculosis 0103 physical sciences FOS: Electrical engineering electronic engineering information engineering medicine Humans Medical physics Sensitivity (control systems) Expert Testimony Tuberculosis Pulmonary Receiver operating characteristic business.industry lcsh:R Electrical Engineering and Systems Science - Image and Video Processing medicine.disease Computer aided detection 030104 developmental biology lcsh:Q business Software |
| Zdroj: | Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020) Scientific Reports Scientific Reports, 10 |
| ISSN: | 2045-2322 |
| Popis: | There is a growing interest in the automated analysis of chest X-Ray (CXR) as a sensitive and inexpensive means of screening susceptible populations for pulmonary tuberculosis. In this work we evaluate the latest version of CAD4TB, a commercial software platform designed for this purpose. Version 6 of CAD4TB was released in 2018 and is here tested on a fully independent dataset of 5565 CXR images with GeneXpert (Xpert) sputum test results available (854 Xpert positive subjects). A subset of 500 subjects (50% Xpert positive) was reviewed and annotated by 5 expert observers independently to obtain a radiological reference standard. The latest version of CAD4TB is found to outperform all previous versions in terms of area under receiver operating curve (ROC) with respect to both Xpert and radiological reference standards. Improvements with respect to Xpert are most apparent at high sensitivity levels with a specificity of 76% obtained at a fixed 90% sensitivity. When compared with the radiological reference standard, CAD4TB v6 also outperformed previous versions by a considerable margin and achieved 98% specificity at the 90% sensitivity setting. No substantial difference was found between the performance of CAD4TB v6 and any of the various expert observers against the Xpert reference standard. A cost and efficiency analysis on this dataset demonstrates that in a standard clinical situation, operating at 90% sensitivity, users of CAD4TB v6 can process 132 subjects per day at n average cost per screen of \$5.95 per subject, while users of version 3 process only 85 subjects per day at a cost of \$8.38 per subject. At all tested operating points version 6 is shown to be more efficient and cost effective than any other version. Published in Scientific Reports |
| Databáze: | OpenAIRE |
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