Another type of CAD is Carestream's Logicon for caries detection. MJ
Abstract
OBJECTIVES:
It
is unclear whether computer-aided detection (CAD) systems for panoramic
radiography can help inexperienced dentists to diagnose maxillary
sinusitis. The aim of this study was to clarify whether a CAD system for
panoramic radiography can contribute to improved diagnostic performance
for maxillary sinusitis by inexperienced dentists.
METHODS:
The
panoramic radiographs of 49 patients with maxillary sinusitis and 49
patients with healthy sinuses were evaluated in this study. The
diagnostic performance of the CAD system was determined. Twelve
inexperienced dentists and four expert oral and maxillofacial
radiologists observed the total of 98 panoramic radiographs and judged
the presence or absence of maxillary sinusitis, under conditions with
and without support of the CAD system. The receiver-operating
characteristic (ROC) curves of the two groups were compared.
RESULTS:
The
CAD system provided sensitivity of 77.6%, specificity of 69.4%, and
accuracy of 73.5%. The diagnostic performance of the inexperienced
dentists increased with support of the CAD system. When the
inexperienced dentists diagnosed maxillary sinusitis with CAD support,
the area under the curve (AUC) was significantly higher than that
without CAD support. When the focus was only on panoramic radiographs in
which CAD support led to a correct diagnosis, the AUC of the
inexperienced dentists increased to an equivalent level to that of the
experienced radiologists.
CONCLUSIONS:
The
CAD system supported the inexperienced dentists in diagnosing maxillary
sinusitis on the panoramic radiographs. If the accuracy of the CAD
system can be increased, the benefits of CAD support will be further
enhanced.
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