Rationale and Objectives
The purpose of this paper is to describe the integration of a commercial chest CT
computer-aided detection (CAD) system into the clinical radiology reporting workflow
and perform an initial investigation of its impact on radiologist efficiency. It seeks
to complement research into CAD sensitivity and specificity of stand-alone systems,
by focusing on report generation time when the CAD is integrated into the clinical
workflow.
Materials and Methods
A commercial chest CT CAD software that provides automated detection and measurement
of lung nodules, ascending and descending aorta, and pleural effusion was integrated
with a commercial radiology report dictation application. The CAD system automatically
prepopulated a radiology report template, thus offering the potential for increased
efficiency. The integrated system was evaluated using 40 scans from a publicly available
lung nodule database. Each scan was read using two methods: (1) without CAD analytics,
i.e., manually populated report with measurements using electronic calipers, and (2)
with CAD analytics to prepopulate the report for reader review and editing. Three
radiologists participated as readers in this study.
Results
CAD assistance reduced reading times by 7%–44%, relative to the conventional manual
method, for the three radiologists from opening of the case to signing of the final
report.
Conclusion
This study provides an investigation of the impact of CAD and measurement on chest
CTs within a clinical reporting workflow. Prepopulation of a report with automated
nodule and aorta measurements yielded substantial time savings relative to manual
measurement and entry.
Key Words
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Article info
Publication history
Published online: August 08, 2018
Accepted:
July 15,
2018
Received in revised form:
July 14,
2018
Received:
June 14,
2018
Identification
Copyright
© 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.
