파노라마방사선사진에서 심층 합성곱 신경망의 하악 피질골 비박 판독 능력
Mandibular Cortical Thinning Detection of Deep Convolutional Neural Network on Panoramic Radiographs
송지은, 송인자, 김형석, Adhikari Shyam, 이재서, 윤숙자, 정호걸,
소속 상세정보
송지은 ( Song Ji-Eun ) - Chonnam National University School of Dentistry
송인자 ( Song In-Ja ) - Kwangju Women’s University Department of Nursing
김형석 ( Kim Hyong-Suk ) - Jeonbuk National University Electronic Engineering
( Adhikari Shyam ) - Jeonbuk National University Electronic Engineering
이재서 ( Lee Jae-Seo ) - Chonnam National University School of Dentistry Department of Oral and Maxillofacial Radiology
윤숙자 ( Yoon Suk-Ja ) - Chonnam National University School of Dentistry Department of Oral and Maxillofacial Radiology
정호걸 ( Jeong Ho-Gul ) - InvisionLab Inc.
Abstract
Deep convolutional network is a deep learning approach to optimize image recognition. This study aimed to apply DCNN to the reading of mandibular cortical thinning in digital panoramic radiographs. Digital panoramic radiographs of 1,268 female dental patients (age 45.2 ± 21.1yrs) were used in the reading of the mandibular cortical bone by two maxillofacial radiologists. Among the subjects, 535 normal subject’s panoramic radiographs (age 28.6 ±7.4 yrs) and 533 those of osteoporosis pationts (age 72.1 ± 8.7 yrs) with mandibular cortical thinning were used for training DCNN. In the testing of mandibular cortical thinning, 100 panoramic radiographs of normal subjects (age 26.6 ± 4.5 yrs) and 100 mandibular cortical thinning (age 72.5 ± 7.2 yrs) were used. The sensitive area of DCNN to mandibular cortical thinning was investigated by occluding analysis. The readings of DCNN were compared by two maxillofacial radiologists. DCNN showed 97.5% accuracy, 96% sensitivity, and 99% specificity in reading mandibular cortical thinning. DCNN was sensitively responded on the cancellous and cortical bone of the mandibular inferior area. DCNN was effective in diagnosing mandibular cortical thinning.
키워드
Mandible; Osteoporosis; Panoramic radiograph; Neural network
원문 및 링크아웃 정보
등재저널 정보