• 치과방사선
• /
• 제27권1호
• /
• pp.99-106
• /
• 1997

The purpose of this study was to compare & to find out the variability of head film measurements (and marks identification) between Fuji computed radiographic cephalometry and conventional cephalometry. 28 Korean adults were selected. Lateral cephalometric FCR film and conventional cephalometric film of each subject was taken. Four investigators identified 24 cephalometric landmarks on lateral cephalometric FCR film and conventional cephalometric film. The comparable measurements between lateral cephalometric FCR film and conventional cephalometric film were statistically analysed. The results were as follows : 1. In FCR film & conventional film, coefficient of variation (C.V.) of 24 landmarks was taken horizonta1ly & vertically. There is no significant difference of rank order of landmarks in C.V. between two films. 2. In comparison of significant differences of landmarks variability between FCR film & conventional film, horizontal value of coefficient of variation, showed significant differences in four landmarks among twenty-four landmarks, but vertical value of coefficient of variation showed significant differences in sixteen landmarks among twenty-four landmarks. FCR film showed significantly less variability than conventional film in 17 subjects among 20(4+16) subjects that showed significant difference.

• Imaging Science in Dentistry
• /
• 제51권3호
• /
• pp.299-306
• /
• 2021

Purpose: This study aimed to propose a fully automatic landmark identification model based on a deep learning algorithm using real clinical data and to verify its accuracy considering inter-examiner variability. Materials and Methods: In total, 950 lateral cephalometric images from Yonsei Dental Hospital were used. Two calibrated examiners manually identified the 13 most important landmarks to set as references. The proposed deep learning model has a 2-step structure-a region of interest machine and a detection machine-each consisting of 8 convolution layers, 5 pooling layers, and 2 fully connected layers. The distance errors of detection between 2 examiners were used as a clinically acceptable range for performance evaluation. Results: The 13 landmarks were automatically detected using the proposed model. Inter-examiner agreement for all landmarks indicated excellent reliability based on the 95% confidence interval. The average clinically acceptable range for all 13 landmarks was 1.24 mm. The mean radial error between the reference values assigned by 1 expert and the proposed model was 1.84 mm, exhibiting a successful detection rate of 36.1%. The A-point, the incisal tip of the maxillary and mandibular incisors, and ANS showed lower mean radial error than the calibrated expert variability. Conclusion: This experiment demonstrated that the proposed deep learning model can perform fully automatic identification of cephalometric landmarks and achieve better results than examiners for some landmarks. It is meaningful to consider between-examiner variability for clinical applicability when evaluating the performance of deep learning methods in cephalometric landmark identification.

• 대한치과교정학회지
• /
• 제51권2호
• /
• pp.77-85
• /
• 2021

Objective: To evaluate the accuracy of a multi-stage convolutional neural network (CNN) model-based automated identification system for posteroanterior (PA) cephalometric landmarks. Methods: The multi-stage CNN model was implemented with a personal computer. A total of 430 PA-cephalograms synthesized from cone-beam computed tomography scans (CBCT-PA) were selected as samples. Twenty-three landmarks used for Tweemac analysis were manually identified on all CBCT-PA images by a single examiner. Intra-examiner reproducibility was confirmed by repeating the identification on 85 randomly selected images, which were subsequently set as test data, with a two-week interval before training. For initial learning stage of the multi-stage CNN model, the data from 345 of 430 CBCT-PA images were used, after which the multi-stage CNN model was tested with previous 85 images. The first manual identification on these 85 images was set as a truth ground. The mean radial error (MRE) and successful detection rate (SDR) were calculated to evaluate the errors in manual identification and artificial intelligence (AI) prediction. Results: The AI showed an average MRE of 2.23 ± 2.02 mm with an SDR of 60.88% for errors of 2 mm or lower. However, in a comparison of the repetitive task, the AI predicted landmarks at the same position, while the MRE for the repeated manual identification was 1.31 ± 0.94 mm. Conclusions: Automated identification for CBCT-synthesized PA cephalometric landmarks did not sufficiently achieve the clinically favorable error range of less than 2 mm. However, AI landmark identification on PA cephalograms showed better consistency than manual identification.

• Imaging Science in Dentistry
• /
• 제45권3호
• /
• pp.175-180
• /
• 2015

Purpose: This study was performed to evaluate the reliability of the identification of anatomical landmarks in panoramic and lateral cephalometric radiographs on a standard medical grade picture archiving communication system (PACS) monitor and a tablet computer (iPad 5). Materials and Methods: A total of 1000 radiographs, including 500 panoramic and 500 lateral cephalometric radiographs, were retrieved from the de-identified dataset of the archive of the Section of Oral and Maxillofacial Radiology of the University Of Connecticut School Of Dental Medicine. Major radiographic anatomical landmarks were independently reviewed by two examiners on both displays. The examiners initially reviewed ten panoramic and ten lateral cephalometric radiographs using each imaging system, in order to verify interoperator agreement in landmark identification. The images were scored on a four-point scale reflecting the diagnostic image quality and exposure level of the images. Results: Statistical analysis showed no significant difference between the two displays regarding the visibility and clarity of the landmarks in either the panoramic or cephalometric radiographs. Conclusion: Tablet computers can reliably show anatomical landmarks in panoramic and lateral cephalometric radiographs.

• 대한치과교정학회지
• /
• 제32권1호통권90호
• /
• pp.59-69
• /
• 2002

본 연구는 측모두부방사선규격사진의 디지털 영상을 enhancement하였을 때 계측점 설정의 재현도를 비교 평가하여 두부방사선사진 계측점 설정에 도움이 되고자 시행되었다. 10명의 측모두부방사선규격사진을 촬영하여 컴퓨터에 입력하고 Quick Ceph Image Pro$^{TM}$에서 gray-scale equalization number를 50으로, detail enhancement number를 50으로 설정하여 방사선상을 4단계까지 enhancement하였다. 5명의 조사자가 모니터 상에서 32개의 계측점을 설정하고 방사선상의 각 enhancement 단계에서 각 계측점에 대해 5명의 조사자가 설정한 점과 이 점들의 중심점간의 거리인 편위량으로 조사자간 계측점 설정의 재현도를 비교 평가하여 다음과 같은 결과를 얻었다. 1. Enhancement를 하지 않은 방사선상에서 조사자간 재현도는 계측점에 따라 다양하게 나타났다. 2. 방사선상 enhancement 따른 계측점의 편위량을 비교한 결과, 5개의 계측점에서 방사선상의 enhancement 단계간에 조사자간 계측점 설정의 재현도가 통계적으로 유의한 차이를 보였다. 3. 계측점 pterygomaxillary fissure는 enhancement 단계 1과 2의 방사선상에서, 계측점 Posterior nasal spine은 enhancement 단계 1의 방사선상에서, 계측점 menton은 enhancement 단계 2, 3과 4의 방사선상에서 조사자간 계측점 설정의 재현도가 enhancement하지 않은 영상에 비하여 높게 나타났다. 이상의 결과로 모니터 상에서 측모두부방사선규격사진의 계측점 설정시 디지털 방사선상의 enhancement를 통하여 일부 계측점에서 재현도를 증가시킬 수 있음을 알 수 있었다.

• Imaging Science in Dentistry
• /
• 제45권4호
• /
• pp.213-220
• /
• 2015

Purpose: The aim this study was to compare the accuracy of orthodontists and dentomaxillofacial radiologists in identifying 17 commonly used cephalometric landmarks, and to determine the extent of variability associated with each of those landmarks. Materials and Methods: Twenty digital lateral cephalometric radiographs were evaluated by two groups of dental specialists, and 17 cephalometric landmarks were identified. The x and y coordinates of each landmark were recorded. The mean value for each landmark was considered the best estimate and used as the standard. Variation in measurements of the distance between landmarks and measurements of the angles associated with certain landmarks was also assessed by a subset of two observers, and intraobserver and interobserver agreement were evaluated. Results: Intraclass correlation coefficients were excellent for intraobserver agreement, but only good for interobserver agreement. The least reliable landmark for orthodontists was the gnathion (Gn) point (standard deviation [SD], 5.92 mm), while the orbitale (Or) was the least reliable landmark (SD, 4.41 mm) for dentomaxillofacial radiologists. Furthermore, the condylion (Co)-Gn plane was the least consistent (SD, 4.43 mm). Conclusion: We established that some landmarks were not as reproducible as others, both horizontally and vertically. The most consistently identified landmark in both groups was the lower incisor border, while the least reliable points were Co, Gn, Or, and the anterior nasal spine. Overall, a lower level of reproducibility in the identification of cephalometric landmarks was observed among orthodontists.

• 대한치과교정학회지
• /
• 제32권2호통권91호
• /
• pp.79-89
• /
• 2002

본 연구의 목적은 일반두부방사선계측사진과 디지털두부방사선계측사진의 계측점 식별의 오차를 구하여 각각의 영상에서 오차의 특징을 살펴보고 재현성을 비교 평가하는 것이다. 연구 대상은 서울대학교병원 치과진료부 교정과에 내원한 교정 환자 중 18세에서 29세 사이의 성인 환자 중에서 일반두부방사선계측사진군과 디지털두부방사선계측사진군 각각 15명씩 30명을 무작위로 선택하여 연구 대상으로 하였으며 남녀의 구별이나 두개 안면 구조의 형태는 고려하지 않았다. 계측점은 동일인이 시간차를 두고 식별 하였다. 식별 후 각 계측점은 좌표 (x, y)로 표시하였으며, 처음 계측점을 식별한 두부방사선계측사진군을 T1으로, 1 주 후 동일 계측점을 재식별한 두부방사선계측사진군을 T2로, 1 달 후 동일계측점을 재식별한 두부방사선계측사진군을 T3로 분류하였다. 오차의 평균과 표준편차는 x좌표, y좌표로 구분하여 계산하였다. 초기 식별 1주 후 재식별시 오차는 T2-T1(x), T2-T1(y)로, 초기 측정 1달 후 재시별시 오차는 T3-T1(x), T3-T1(y)로 표시하였으며 일반두부방사선계측사진과 디지털두부방사선계측사진으로 각각 나누었다. 재현성의 평가를 위한 오차간의 통계학적인 검정은 independent t-test를 사용하였으며 다음과 같은 결론을 얻었다. 1. 디지털두부방사선계측사진이 일반두부방사선계측사진보다 일반적으로 오차의 평균 및 표준편차가 작았다. 2. 일반두부방사선계측사진의 오차와 디지털두부방사선계측사진의 오차가 통계학적으로 유의성 있는 차이를 보인 항목은 드물었다. 3.상의 향상을 통한 오차의 개선은 한계가 있었으며 상이 향상되더라도 각 계측점의 오차 의 경향은 크게 변하지 않았다.

• 대한치과교정학회지
• /
• 제49권1호
• /
• pp.41-48
• /
• 2019

Objective: This in-vivo study aimed to compare landmark identification errors in anteroposterior (AP) and posteroanterior (PA) cephalograms generated from cone-beam computed tomography (CBCT) scan data in order to examine the feasibility of using AP cephalograms in clinical settings. Methods: AP and PA cephalograms were generated from CBCT scans obtained from 25 adults. Four experienced and four inexperienced examiners were selected depending on their experience levels in analyzing frontal cephalograms. They identified six cephalometric landmarks on AP and PA cephalograms. The errors incurred in positioning the cephalometric landmarks on the AP and PA cephalograms were calculated by using the straight-line distance and the horizontal and vertical components as parameters. Results: Comparison of the landmark identification errors in CBCT-generated frontal cephalograms revealed that landmark-dependent differences were greater than experienceor projection-dependent differences. Comparisons of landmark identification errors in the horizontal and vertical directions revealed larger errors in identification of the crista galli and anterior nasal spine in the vertical direction and the menton in the horizontal direction, in comparison with the other landmarks. Comparison of landmark identification errors between the AP and PA projections in CBCT-generated images revealed a slightly higher error rate in the AP projections, with no inter-examiner differences. Statistical testing of the differences in landmark identification errors between AP and PA cephalograms showed no statistically significant differences for all landmarks. Conclusions: The reproducibility of CBCT-generated AP cephalograms is comparable to that of PA cephalograms; therefore, AP cephalograms can be generated reliably from CBCT scan data in clinical settings.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
• /
• 제36권4호
• /
• pp.262-269
• /
• 2010

Introduction: Accurate diagnosis and treatment planning are very important for orthognathic surgery. A small error in diagnosis can cause postoperative functional and esthetic problems. Pre-existing 2-dimensional (D) chephalogram analysis has a high likelihood of error due to its intrinsic and extrinsic problems. A cephalogram can also be inaccurate due to the limited anatomic points, superimposition of the image, and the considerable time and effort required. Recently, an improvement in technology and popularization of computed tomography (CT) provides patients with 3-D computer based cephalometric analysis, which complements traditional analysis in many ways. However, the results are affected by the experience and the subject of the investigator. Materials and Methods: The effects of the sources human error in 2-D cephalogram analysis and 3-D computerized tomography cephalometric analysis were compared using Simplant CMF program. From 2008 Jan to 2009 June, patients who had undergone CT, cephalo AP, lat were investigated. Results: 1. In the 3 D and 2 D images, 10 out of 93 variables (10.4%) and 11 out 44 variables (25%), respectively, showed a significant difference. 2. Landmarks that showed a significant difference in the 2 D image were the points frequently superimposed anatomically. 3. Go Po Orb landmarks, which showed a significant difference in the 3 D images, were found to be the artificial points for analysis in the 2 D image, and in the current definition, these points cannot be used for reproducibility in the 3 D image. Conclusion: Generally, 3-D CT images provide more precise identification of the traditional cephalometric landmark. Greater variability of certain landmarks in the mediolateral direction is probably related to the inadequate definition of the landmarks in the third dimension.

• 대한소아치과학회지
• /
• 제48권3호
• /
• pp.245-254
• /
• 2021

이 연구의 목적은 소아 환자들의 측모방사선 사진을 대상으로 시판되는 3종의 자동 계측점 식별 프로그램의 정확성을 평가하고 소아치과 임상에서의 사용 가능성을 예측하는 것이다. 영구 중절치가 맹출한 만 7 - 12세 건강한 어린이 60명의 측모방사선 사진에 14개의 계측점을 표시하였다. 1명의 검사자가 3회 반복 측정한 결과의 평균을 기준점으로 정의하여 자동으로 식별된 계측점과의 거리 차이를 계측하였다. 3종의 자동 계측점 식별 프로그램은 평균 2.53 mm의 오차를 나타냈다. Orbitale과 Gonion을 제외한 12개의 계측점에서 3종의 프로그램 사이에 유의미한 차이는 없었으나, 검사자가 모든 계측점에서 3종의 프로그램보다 유의미하게 높은 정확도를 보였다. 이 연구를 통하여 사춘기 전 소아의 측모방사선 분석 시 자동 계측점 식별 프로그램이 검사자를 대체할 정도는 아니나 짧은 소요시간과 임상 허용 가능한 범위 이내의 정확도를 갖는 효과적인 진단 보조기구임을 알 수 있다.