利用云计算面部检测技术评估正颌手术效果的初步研究

doi:10.3969/j.issn.1005-4979.2019.04.003

摘要/Abstract

摘要： 目的：利用云计算面部检测技术对接受正颌手术的患者进行术前术后面部多角度照片判读对比，评估该技术应用于临床的可行性。方法：选取92例患者正颌手术前后面部不同角度的照片共920张，导入云计算面部检测平台，获得每张照片中人像的面部识别年龄和面部吸引力数据，采用SPSS 25.0软件包，用配对t检验分析术前、术后检测数据间的差异。结果：患者术后面部识别年龄与真实年龄的差值总体显著减小（P＜0.05），术后面部吸引力较术前总体明显增大（P＜0.05），其中总体女性患者术后面部改善更显著（P＜0.05）；骨性Ⅲ类错患者接受正颌手术治疗可以获得更显著的疗效（P＜0.05）；接受双颌手术联合其他术式的患者会得到更加显著的面部改善（P＜0.05）。结论：该研究表明云计算面部检测技术可以用于衡量患者在正颌手术前后面部识别年龄和面部吸引力的变化，未来可能成为评价正颌手术效果的一种客观技术，但仍需进一步改进完善。

关键词: 云计算, 面部检测, 正颌手术, 面部吸引力

Abstract: Objective: We compared the preoperative and postoperative photos of patients undergone orthognathic surgery using cloud-computing technology in order to explore the feasibility of clinical application of this technology. Methods: We uploaded pre- and post-operation photographs (n=920) of 92 orthognathic patients to the face examination system based on cloud-computing technology. The estimated facial age and facial attractiveness of the portraits in each photo were collected and analyzed statistically. Differences between preoperative and postoperative photos were analyzed by paired t-test using SPSS 25.0 software package. Results: The difference between postoperative estimated facial age and real age was significantly reduced (P<0.05). Postoperative facial appearance was more attractive than preoperative facial appearance significantly (P<0.05). The facial improvements of female patients after operation were greater (P<0.05). Patients with Class III malocclusion obtained better curative effect after orthognathic surgery (P<0.05). Patients receiving double-jaws surgery combined with other surgical procedures, got more significant facial improvements (P<0.05). Conclusion: The study shows that the face examination based on cloud-computing technology can be used to measure the changes of patients' estimated facial age and facial attractiveness before and after orthognathic surgery. This technology can evaluate the effect of orthognathic surgery objectively in the future, but it still requires some improvements.

Key words: cloud-computing, facial examination, orthognathic surgery, facial attractivenesss

中图分类号:

R782

张哲儒，郭佳，贾骏麒，史雨林，宗春琳，田磊. 利用云计算面部检测技术评估正颌手术效果的初步研究[J]. 《口腔颌面外科杂志》, doi: 10.3969/j.issn.1005-4979.2019.04.003.

ZHANG Zhe-ru, GUO Jia, JIA Jun-qi, SHI Yu-lin, ZONG Chun-lin, TIAN Lei. Primary study on cloud-computing technology based face examination for evaluation the efficacy of orthognathic surgery[J]. 《Journal of Oral and Maxillofacial Surgery》, doi: 10.3969/j.issn.1005-4979.2019.04.003.

https://journal06.magtech.org.cn/Jweb_joms/CN/Y2019/V29/I4/195

参考文献

[1] Cunningham SJ, Johal A. Orthognathic correction of dento-facial discrepancies[J]. Br Dent J, 2015, 218(3):167-175.

[2] 张志愿. 口腔颌面外科学[M]. 第7版. 北京: 人民卫生出版社, 2015:498-499.

[3] Ryan F S, Barnard M, Cunningham SJ. Impact of dentofacial deformity and motivation for treatment: A qualitative study[J]. Am J Orthod Dentofac Orthopedics, 2012, 141(6):734-742.

[4] Nurminen L, Pietil?覿 T, Vinkka-Puhakka H. Motivation for and satisfaction with orthodontic-surgical treatment: a retrospective study of 28 patients[J]. Eur J Orthod, 1999, 21(1):79-87.

[5] Oland J, Jensen J, Elklit A, et al. Motives for Surgical-Orthodontic Treatment and Effect of Treatment on Psychosocial Well-Being and Satisfaction: A Prospective Study of 118 Patients[J]. J Oral Maxillofac Surg, 2011, 69(1):104-113.

[6] 代杰文, 王璧霞, 魏弘朴, 等. 数字化正颌外科流程及临床效果回顾性分析[J]. 上海交通大学学报(医学版), 2016, 36(9):1333-1340.

[7] 罗士栋. 智能面部识别嵌入式终端的实现[D]. 北京: 北京邮电大学, 2008:12-13.

[8] 王宇飞. 人脸识别技术特征及未来的应用展望[J]. 中国新通信, 2018, 20(19):90-91.

[9] 陈青筱, 吕培军. 临床决策支持系统的研究现状及其在口腔修复领域的应用[J]. 实用口腔医学杂志, 2016, 32(5):722-726.

[10] Patcas R, Bernini DAJ, Volokitin A, et al. Applying artificial intelligence to assess the impact of orthognathic treatment on facial attractiveness and estimated age[J]. Int J Oral Maxillofac Surg, 2019, 48(1):77-83.

[11] Lee CH, Park HH, Seo BM, et al. Modern trends in Class III orthognathic treatment: A time series analysis[J]. Angle Orthod, 2017, 87(2):269-278.

[12] Blockhaus M, Kochel J, Hartmann J, et al. Three-dimensional investigation of facial surface asymmetries in skeletal malocclusion patients before and after orthodontic treatment combined with orthognathic surgery[J]. J Orofac Orthop, 2014, 75(2):85-95.

[13] 沈舜尧, 陈天天, 卢陈佩, 等. 虚拟设计与传统模型外科矫治偏突颌畸形的对比研究[J]. 中华口腔医学杂志, 2016, 51(11):651-655.

[14] Essig H, Rana M, Kokemueller H, et al. Referencing of markerless CT data sets with cone beam subvolume including registration markers to ease computer-assisted surgery - a clinical and technical research[J]. Int J Med Robot, 2013, 9(3):e39-e45.

[15] Janakiraman N, Feinberg M, Vishwanath M, et al. Integration of 3-dimensional surgical and orthodontic technologies with orthognathic "surgery-first" approach in the management of unilateral condylar hyperplasia[J]. Am J Orthod Dentofacial Orthop, 2015, 148(6):1054-1066.

[16] 黄欣荣. 新一代人工智能研究的回顾与展望[J]. 新疆师范大学学报(哲学社会科学版), 2019,40(4):86-97.

[17] Chung EH, Borzabadi-Farahani A, Yen SLK. Clinicians and laypeople assessment of facial attractiveness in patients with cleft lip and palate treated with LeFort I surgery or late maxillary protraction[J]. Int J Pediatr Otorhinolaryngol, 2013, 77(9):1446-1450.

[18] Harrar H, Myers S, Ghanem AM. Art or Science? An Evidence-Based Approach to Human Facial Beauty a Quantitative Analysis Towards an Informed Clinical Aesthetic Practice[J]. Aesthetic Plast Surg, 2018, 42(1):137-146.

[19] Storms A S, Vansant L, Shaheen E, et al. Three-dimensional aesthetic assessment of class II patients before and after orthognathic surgery and its association with quantitative surgical changes[J]. Int J Oral Maxillofac Surg, 2017, 46(12):1664-1671.

[20] Edler R, Agarwal P, Wertheim D, et al. The use of anthropometric proportion indices in the measurement of facial attractiveness[J]. Eur J Orthod, 2006, 28(3):274-281.

[21] Rothe R, Timofte R, Gool L V. Some Like It Hot-Visual Guidance for Preference Prediction[C]. Computer Vision & Pattern Recognition, 2016, 599:5553-5561.

[22] 孙致南. 5G移动通信支撑下的物联网技术[J]. 电子技术与软件工程, 2019, 151(5):42.

[23] 王旨, 张兴, 王文博. 无线边缘智能助力智慧社会[J]. 电信科学, 2019, 35(3):54-61.

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