Is automatic cephalometric software using artificial intelligence better than orthodontist experts in landmark identification?

作者全名："Ye, Huayu; Cheng, Zixuan; Ungvijanpunya, Nicha; Chen, Wenjing; Cao, Li; Gou, Yongchao"

作者地址："[Ye, Huayu; Cheng, Zixuan; Chen, Wenjing; Cao, Li; Gou, Yongchao] Chongqing Med Univ, Stomatol Hosp, Dept Orthodont, 426 Songshi North Rd, Chongqing 401147, Peoples R China; [Ye, Huayu; Cao, Li; Gou, Yongchao] Chongqing Key Lab Oral Dis & Biomed Sci, 426 Songshi North Rd, Chongqing 401147, Peoples R China; [Ye, Huayu; Cao, Li; Gou, Yongchao] Chongqing Municipal Key Lab Oral Biomed Engn Highe, 426 Songshi North Rd, Chongqing 401147, Peoples R China; [Cheng, Zixuan] Chongqing Haochi Private Dent Clin, 711 Konggang Ave, Chongqing 401147, Peoples R China; [Ungvijanpunya, Nicha] Chulalongkorn Univ, Fac Dent, 34 Henri Dunant Rd, Bangkok 10330, Thailand"

通信作者："Gou, YC (通讯作者)，Chongqing Med Univ, Stomatol Hosp, Dept Orthodont, 426 Songshi North Rd, Chongqing 401147, Peoples R China.; Gou, YC (通讯作者)，Chongqing Key Lab Oral Dis & Biomed Sci, 426 Songshi North Rd, Chongqing 401147, Peoples R China.; Gou, YC (通讯作者)，Chongqing Municipal Key Lab Oral Biomed Engn Highe, 426 Songshi North Rd, Chongqing 401147, Peoples R China."

来源：BMC ORAL HEALTH

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001024964400004

JCR分区：Q1

影响因子：2.6

年份：2023

卷号：23

期号：1

开始页：　

结束页：　

文献类型：Article

关键词：Cephalometric tracings; Artificial intelligence; Automatic digitization

摘要："BackgroundTo evaluate the techniques used for the automatic digitization of cephalograms using artificial intelligence algorithms, highlighting the strengths and weaknesses of each one and reviewing the percentage of success in localizing each cephalometric point.MethodsLateral cephalograms were digitized and traced by three calibrated senior orthodontic residents with or without artificial intelligence (AI) assistance. The same radiographs of 43 patients were uploaded to AI-based machine learning programs MyOrthoX, Angelalign, and Digident. Image J was used to extract x- and y-coordinates for 32 cephalometric points: 11 soft tissue landmarks and 21 hard tissue landmarks. The mean radical errors (MRE) were assessed radical to the threshold of 1.0 mm,1.5 mm, and 2 mm to compare the successful detection rate (SDR). One-way ANOVA analysis at a significance level of P < .05 was used to compare MRE and SDR. The SPSS (IBM-vs. 27.0) and PRISM (GraphPad-vs.8.0.2) software were used for the data analysis.ResultsExperimental results showed that three methods were able to achieve detection rates greater than 85% using the 2 mm precision threshold, which is the acceptable range in clinical practice. The Angelalign group even achieved a detection rate greater than 78.08% using the 1.0 mm threshold. A marked difference in time was found between the AI-assisted group and the manual group due to heterogeneity in the performance of techniques to detect the same landmark.ConclusionsAI assistance may increase efficiency without compromising accuracy with cephalometric tracings in routine clinical practice and research settings."

基金机构："National Natural Science Foundation of China (NSFC) [81900964]; Youth Innovation in Future Medicine, Chongqing Medical University [W0033]; New Technology and New Project of Stomatological Hospital of Chongqing Medical University [15]"

基金资助正文："National Natural Science Foundation of China (NSFC, 81900964); Youth Innovation in Future Medicine, Chongqing Medical University (W0033); New Technology and New Project of Stomatological Hospital of Chongqing Medical University (2022, N0.15)."