@article {MEHLHORN5221, author = {GRIT MEHLHORN and ANDREAS KAGE and CHRISTIAN M{\"U}NZENMAYER and MICHAELA BENZ and MARTIN C. KOCH and MATTHIAS W. BECKMANN and THOMAS WITTENBERG}, title = {Computer-assisted Diagnosis (CAD) in Colposcopy: Evaluation of a Pilot Study}, volume = {32}, number = {12}, pages = {5221--5226}, year = {2012}, publisher = {International Institute of Anticancer Research}, abstract = {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{\textquoteright}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.}, issn = {0250-7005}, URL = {https://ar.iiarjournals.org/content/32/12/5221}, eprint = {https://ar.iiarjournals.org/content/32/12/5221.full.pdf}, journal = {Anticancer Research} }