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Tytuł pozycji:

Utilization of computer-aided detection system in diagnosing unilateral maxillary sinusitis on panoramic radiographs.

Tytuł:
Utilization of computer-aided detection system in diagnosing unilateral maxillary sinusitis on panoramic radiographs.
Autorzy:
Ohashi Y; 1 Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Ariji Y; 1 Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Katsumata A; 2 Department of Oral Radiology, Asahi University School of Dentistry, Mizuho, Japan.
Fujita H; 3 Department of Intelligent Image Information, Graduate School of Medicine, Gifu University, Gifu, Japan.
Nakayama M; 1 Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Fukuda M; 1 Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Nozawa M; 1 Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Ariji E; 1 Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry, Nagoya, Japan.
Źródło:
Dento maxillo facial radiology [Dentomaxillofac Radiol] 2016; Vol. 45 (3), pp. 20150419. Date of Electronic Publication: 2016 Feb 03.
Typ publikacji:
Comparative Study; Journal Article; Research Support, Non-U.S. Gov't
Język:
English
Imprint Name(s):
Publication: 2003- : London : British Institute of Radiology
Original Publication: Erlangen, Germany : University Press Erlangen
MeSH Terms:
Maxillary Sinusitis/*diagnostic imaging
Radiographic Image Interpretation, Computer-Assisted/*statistics & numerical data
Radiography, Panoramic/*statistics & numerical data
Adult ; Area Under Curve ; Case-Control Studies ; Clinical Competence/statistics & numerical data ; Female ; Humans ; Male ; Maxillary Sinus/diagnostic imaging ; Middle Aged ; ROC Curve ; Sensitivity and Specificity
References:
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Contributed Indexing:
Keywords: computer-aided detection; maxillary sinusitis; panoramic radiography
Entry Date(s):
Date Created: 20160204 Date Completed: 20160623 Latest Revision: 20181202
Update Code:
20240104
PubMed Central ID:
PMC4846153
DOI:
10.1259/dmfr.20150419
PMID:
26837670
Czasopismo naukowe
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. 12 inexperienced dentists and 4 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 the support of the CAD system. The receiver operating characteristic 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 the 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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