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dc.contributor.authorGundry, M
dc.contributor.authorKnapp, K
dc.contributor.authorMeertens, R
dc.contributor.authorMeakin, JR
dc.date.accessioned2017-11-20T13:22:45Z
dc.date.issued2017-12-07
dc.description.abstractObjectives To investigated the accuracy of computer-aided detection (CAD) software in musculoskeletal projection radiography via a systematic review. Key findings Following selection screening, eligible studies were assessed for bias, and had their study characteristics extracted resulting in 22 studies being included. Of these 22 three studies had tested their CAD software in a clinical setting; the first study investigated vertebral fractures, reporting a sensitivity score of 69.3% with CAD, compared to 59.8% sensitivity without CAD. The second study tested dental caries diagnosis producing a sensitivity score of 68.8% and specificity of 94.1% with CAD, compared to sensitivity of 39.3% and specificity of 96.7% without CAD. The third indicated osteoporotic cases based on CAD, resulting in 100% sensitivity and 81.3% specificity. Conclusion The current evidence reported shows a lack of development into the clinical testing phase; however the research does show future promise in the variation of different CAD systems.en_GB
dc.identifier.citationPublished online 7 December 2017en_GB
dc.identifier.doi10.1016/j.radi.2017.11.002
dc.identifier.urihttp://hdl.handle.net/10871/30374
dc.language.isoenen_GB
dc.publisherWB Saunders for College of Radiographersen_GB
dc.rights.embargoreasonPublisher policyen_GB
dc.rights© 2017 The College of Radiographers. Published by Elsevier Ltd. All rights reserved.
dc.subjectComputer-aided detection
dc.subjectCAD
dc.subjectMSK
dc.titleComputer-aided detection in musculoskeletal projection radiography: A systematic reviewen_GB
dc.typeArticleen_GB
dc.identifier.issn1532-2831
dc.descriptionThis is the author accepted manuscript. The final version is available from WB Saunders via the DOI in this record.
dc.identifier.journalRadiographyen_GB


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