[基于三维颅面特征的正颌患者相似度测量模型的建立与评价]。

Q3 Medicine
北京大学学报(医学版) Pub Date : 2025-02-18
Ling Wu, Jiakun Fang, Xiaojing Liu, Zili Li, Yang Li, Xiaoxia Wang
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引用次数: 0

摘要

目的:建立基于颅面三维特征的牙面畸形患者相似度测量模型,并通过量化专家主观评分对相似度结果进行验证。方法:选取2020年1月至2022年12月在北京大学口腔医学院附属医院行双颌手术及术前正畸治疗的骨骼类Ⅲ错颌患者52例,男26例,女26例,按性别分为2组。每组随机抽取1例患者作为参考样本,其余患者作为检验样本。三位资深外科医生对测试样本和参考样本之间的相似性评分。相似度评分范围从1到10,其中1表示完全不同,10表示完全相同。评分大于7.5分被认为临床相似。术前收集患者的锥形束计算机断层扫描(CBCT)和三维面部图像。提取三维硬软组织特征,包括距离、角度和三维点云特征。然后通过特征选择算法和线性回归模型建立相似度度量模型,与专家的相似度评分进行拟合。为验证模型的可靠性,选取14例新患者输入相似度测量模型寻找相似病例。这些相似案例的相似度评分由专家打分,并用于评估模型的可靠性。结果:相似度度量模型表明中、下颅面特征是影响颅面相似度的主要特征。与专家相似度评分相关的主要特征包括鼻前棘-颏部距离(ANS-Me)、右上阴囊-法兰克福水平面距离(U3RH)、髁突-左阴囊左上点距离(CoL-GoL)、左阴囊-颏部距离(CoL-Me)、阴囊-中矢状面距离(Pog-MSP)、右鼻翼-左鼻翼基部距离(AlR-AlL)、前鼻-软组织阴囊-下唇角(Pn-Pog' -Li)、三角-右耳屏距离(Tri-TraR)、左外稃-左鼻翼基部距离(ExL-AlL)、骨面下1/3、骨面中下2/3及上唇软组织区域距离。选择14例新患者对模型进行评价。模型选取的相似案例专家的平均相似度评分为7.627±0.711,与7.5无显著差异。结论:利用该模型建立的相似度度量模型能够找到与专家主观相似度评分高度匹配的相似案例。该研究可进一步用于骨骼Ⅲ错颌患者的类似病例检索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Establishment and evaluation of a similarity measurement model for orthognathic patients based on the 3D craniofacial features].

Objective: To establish a similarity measurement model for patients with dentofacial deformity based on 3D craniofacial features and to validate the similarity results with quantifying subjective expert scoring.

Methods: In the study, 52 cases of patients with skeletal Class Ⅲ malocclusions who underwent bimaxillary surgery and preoperative orthodontic treatment at Peking University School and Hospital of Stomatology from January 2020 to December 2022, including 26 males and 26 females, were selected and divided into 2 groups by sex. One patient in each group was randomly selected as a reference sample, and the others were set as test samples. Three senior surgeons rated the similarity scores between the test samples and the reference sample. Similarity scores ranged from 1 to 10, where 1 was completely different, and 10 was exactly the same. Scores larger than 7.5 was considered as clinically similar. Preoperative cone beam computed tomography (CBCT) and 3D facial images of the patients were collected. The three-dimensional hard and soft tissue features, including distances, angles and 3D point cloud features were extracted. The similarity measurement model was then established to fit with the experts' similarity scoring by feature selection algorithm and linear regression model. To verify the reliability of the model, 14 new patients were selected and input to similarity measurement model for finding similar cases. The similarity scoring of these similar cases were rated by experts, and used to evaluate the reliability of the model.

Results: The similarity metric models indicated that the features of the middle and lower craniofacial features were the main features to influence the craniofacial similarity. The main features that were related to the expert' s similarity scoring included distance of anterior nasal spine-menton (ANS-Me), distance of right upper canion point-Frankfurt horizontal plane (U3RH), distance of left superior point of the condyle-left gonion (CoL-GoL), distance of left gonion-menton (CoL-Me), distance of pogonion-midsagittal plane (Pog-MSP), distance of right alar base-left alar base (AlR-AlL), angle of pronasale-soft tissue pogonion-labrale inferius (Pn-Pog' -Li), distance of trichion-right tragus (Tri-TraR), distance of left exocanthion-left alar base (ExL-AlL), lower 1/3 of skeletal face, middle and lower 2/3 of skeletal face and upper lip region of soft tissue. Fourteen new patients were chosen to evaluate the model. The similar cases selected by the model had an average experts' similarity scoring of 7.627± 0.711, which was not significantly different with 7.5.

Conclusion: The similarity measurement model established by this model could find the similar cases which highly matched experts' subjective similarity scoring. The study could be further used for similar cases retrieval in skeletal Ⅲ malocclusion patients.

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来源期刊
北京大学学报(医学版)
北京大学学报(医学版) Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
9815
期刊介绍: Beijing Da Xue Xue Bao Yi Xue Ban / Journal of Peking University (Health Sciences), established in 1959, is a national academic journal sponsored by Peking University, and its former name is Journal of Beijing Medical University. The coverage of the Journal includes basic medical sciences, clinical medicine, oral medicine, surgery, public health and epidemiology, pharmacology and pharmacy. Over the last few years, the Journal has published articles and reports covering major topics in the different special issues (e.g. research on disease genome, theory of drug withdrawal, mechanism and prevention of cardiovascular and cerebrovascular diseases, stomatology, orthopaedic, public health, urology and reproductive medicine). All the topics involve latest advances in medical sciences, hot topics in specific specialties, and prevention and treatment of major diseases. The Journal has been indexed and abstracted by PubMed Central (PMC), MEDLINE/PubMed, EBSCO, Embase, Scopus, Chemical Abstracts (CA), Western Pacific Region Index Medicus (WPR), JSTChina, and almost all the Chinese sciences and technical index systems, including Chinese Science and Technology Paper Citation Database (CSTPCD), Chinese Science Citation Database (CSCD), China BioMedical Bibliographic Database (CBM), CMCI, Chinese Biological Abstracts, China National Academic Magazine Data-Base (CNKI), Wanfang Data (ChinaInfo), etc.
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