Rationale and Objectives
The aim of this study was to evaluate the improved accuracy of radiologic assessment
of lung cancer afforded by computer-aided diagnosis (CADx).
Materials and Methods
Inclusion/exclusion criteria were formulated, and a systematic inquiry of research
databases was conducted. Following title and abstract review, an in-depth review of
149 surviving articles was performed with accepted articles undergoing a Quality Assessment
of Diagnostic Accuracy Studies (QUADAS)-based quality review and data abstraction.
Results
A total of 14 articles, representing 1868 scans, passed the review. Increases in the
receiver operating characteristic (ROC) area under the curve of .8 or higher were
seen in all nine studies that reported it, except for one that employed subspecialized
radiologists.
Conclusions
This systematic review demonstrated improved accuracy of lung cancer assessment using
CADx over manual review, in eight high-quality observer-performance studies. The improved
accuracy afforded by radiologic lung-CADx suggests the need to explore its use in
screening and regular clinical workflow.
Key Words
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Article info
Publication history
Published online: November 23, 2015
Accepted:
October 13,
2015
Received in revised form:
October 11,
2015
Received:
June 5,
2015
Identification
Copyright
© 2015 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.
