骨粗髭症スクリーニングのためのコンピュータによる下顎骨下縁皮質骨X線画像解析法 Computer analysis of mandibular cortex morphology for screening of osteoporosis

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Author(s)

    • 藤田 廣志 FUJITA Hiroshi
    • 岐阜大学大学院医学系研究科知能イメージ情報分野 Department of Intelligent Image Information, Graduate School of Medicine, Gifu University
    • 田口 明 TAGUCHI Akira
    • 松本歯科大学歯科放射線学講座 Department of Oral and Maxillofacial Radiology, Matsumoto Dental University
    • 有地 淑子 ARIJI Yoshiko
    • 愛知学院大学歯学部歯科放射線学講座 Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry
    • 有地 榮一郎 ARIJI Eiichirou
    • 愛知学院大学歯学部歯科放射線学講座 Department of Oral and Maxillofacial Radiology, Aichi-Gakuin University School of Dentistry

Abstract

Objective: It is known that an altered morphology of the mandibular cortex on panoramic radiographs is significantly correlated with osteoporosis. We developed a computer program that scans the mandibular inferior cortex and defines the mandibular cortical index (MCI) automatically.<br>Methods: The procedure of MCI analysis is as follows. As the first step, the mandibular contour was extracted. Next, bilateral measurement points were set in the mental foramen region. Then the thickness and the roughness of the mandibular cortex were calculated to determine the MCI classification: normal cortex (Class 1), mildly to moderately eroded cortex (Class 2), and severely eroded cortex (Class 3). When the measurement point is not correct, the observer can choose an appropriate measurement point in the mandibular cortex manually. A panoramic image database, in which the MCI classification was determined based on agreement among three experienced dental radiologists, was used to test the computer program. The database consisted of 78, 67, and 60 cases of Class 1, Class 2, and Class 3, respectively.<br>Results: The accuracy of computer-based classification was 94.9% for Class 1, 92.5% for Class 2, and 90.0% for Class 3. The diagnostic sensitivity to detect possible osteoporosis (Class 2 and 3) was 94.5%, and the specificity was 94.9%.<br>Conclusions: It was suggested that the present computer program can analyze MCI correctly.

Journal

  • Journal of The Japanese Stomatological Society

    Journal of The Japanese Stomatological Society 65(3), 256-263, 2016

    Japanese Stomatological Society

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