DIAGNOSTIC PERFORMANCE OF INTRAORAL AND EXTRAORAL RADIOGRAPHS DISPLAYED ON TABLET COMPUTER AND LED MONITOR RETRIEVED USING VIRTUAL DESKTOP APPLICATION AND CLOUD-BASED PACS
Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology
Volume 128, Issue 4, October 2019, Pages e158-e159
Information
retrieval and sharing is key for today's multidisciplinary patient
care. Radiographic interpretation of conventional 2-D images is the
standard protocol for most dental schools across the United States, and
it is imperative to assess image quality on various display devices as
well as image retrieval systems.
Objective(s)
The
purpose of this study was to investigate whether common dental
conditions seen on conventional 2-D intraoral and extraoral radiographs
can be diagnosed with the similar accuracy on handheld tablet computer
and LED display as on a dedicated radiology diagnostic
display. In addition, to investigate the diagnostic and image quality
of the radiographs retrieved over a virtual desktop application and a
network computer.
Study Design
A
total of 15 intraoral and 5 panoramic deidentified radiographs selected
for this study showed a variety of common dental conditions and anatomic landmarks.
Assessments were performed on a desktop computer and a tablet computer
10.5-Inch iPad Pro. All radiographs were retrieved on MiPACS and a
virtual desktop application, Citrix Receiver. Each radiograph was
assigned a case number and only a specific tooth was marked for
diagnostic assessment. A total of 240 radiographs were assessed for
general dental conditions and anatomic landmarks on panoramic radiographs.
Results
Cohen's
kappa was calculated and the kappa value ranged from 0.79 to 0.89,
which indicated good to very good agreement between raters. A
Kruskal-Wallis H test was performed, and distributions of identification
of caries, caries surfaces, bone loss, and presence of periapical lesions were similar for all groups. Median scores were not statistically significantly different between groups as below (P > .05).
Discussion/Conclusions
IPad
and LED monitor display performed equally on their ability to diagnose
common dental conditions. In addition, there were no statistically
significant differences between the diagnostic ability of dentists
examining images retrieved over a virtual desktop application (Remote electronic health record [EHR]) and a network desktop computer.
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