Document Detail


Computer-assisted Diagnosis (CAD) in Colposcopy: Evaluation of a Pilot Study.
MedLine Citation:
PMID:  23225419     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
BACKGROUND: A prototype system for computer-assisted colposcopic diagnosis (CAD) currently achieves a high level of accuracy of 80% (sensitivity 85%, specificity 75%) for the automatic assessment of colposcopic images. This pilot study investigated whether this type of CAD system is, in principle, capable of influencing the quality of the examiner's assessment.
MATERIALS AND METHODS: In this observer study, 24 digitized colposcopic images from patients attending a dysplasia clinic were assessed by 90 participants. All participants had attended a colposcopy training workshop so that they acquired the same basic information and skills.
RESULTS: Wide variation was seen among the non-experts, in contrast to the experts. An overall improvement in diagnostic accuracy was noted when the CAD system was used (non-experts: sensitivity 78%, specificity 70%; experts: sensitivity 74%, specificity 70%).
CONCLUSION: The CAD system may serve as an aid in the further diagnosis of cervical intraepithelial neoplasia, and has the potential to improve the diagnostic process.
Authors:
Grit Mehlhorn; Andreas Kage; Christian Münzenmayer; Michaela Benz; Martin C Koch; Matthias W Beckmann; Thomas Wittenberg
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Anticancer research     Volume:  32     ISSN:  1791-7530     ISO Abbreviation:  Anticancer Res.     Publication Date:  2012 Dec 
Date Detail:
Created Date:  2012-12-10     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8102988     Medline TA:  Anticancer Res     Country:  Greece    
Other Details:
Languages:  eng     Pagination:  5221-6     Citation Subset:  IM    
Affiliation:
Department of Gynecology, Erlangen University Hospital, Universitätsstrasse 21-23, 91054 Erlangen, Germany. grit.mehlhorn@uk-erlangen.de.
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