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Joda T, Balmer M, Jung RE, Ioannidis A. Clinical use of digital applications for diagnostic and treatment planning in prosthodontics: A scoping review. Clin Oral Implants Res 2024; 35:782-792. [PMID: 38140771 DOI: 10.1111/clr.14230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 11/24/2023] [Accepted: 12/08/2023] [Indexed: 12/24/2023]
Abstract
AIM This scoping review aimed to compile and evaluate clinical trials investigating digital applications in prosthetic diagnostics and treatment planning by assessing their clinical relevance and future potential. METHODS Following the PCC-framework for scoping reviews and combining the source of analysis (Population/P: "prosthodontics"), the technique of interest (Concept/C: "digital application") and the field of interest (Context/C: "diagnostics"), a three-pronged search strategy was applied in the database PubMed and Web of Science. Clinical trials (≥10 study participants, English/German) were considered until 2023-03-09. Reporting adhered to the PRISMA-ScR statement. RESULTS The search identified 520 titles, of which 18 full-texts met the inclusion criteria for data extraction. The trials involved a total of 14,457 study participants and were mapped for prosthetic subdisciplines: fixed (n = 9; 50%) and removable (n = 4; 22%) prosthodontics, reconstructive dentistry in general (n = 3; 17%), and temporo-mandibular joint disorders (n = 2; 11%). Data merging of medical format files, as DICOM+STL, was the dominant digital application (n = 7; 39%); and virtual treatment simulation using digital smile design or digital wax-up represented the most frequent prosthetic diagnostics (n = 6; 33%). CONCLUSION This scoping review identified a relatively low number of clinical trials. The future potential of digital diagnostics appears to be mostly related to the subdiscipline of fixed prosthodontics, especially regarding virtual treatment simulation for communication with the patient and among dental professionals. Artificial intelligence emerged as a key technology in many of the identified studies. Further research in this area is needed to explore the capabilities of digital technologies in prosthetic diagnostics and treatment planning.
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Affiliation(s)
- Tim Joda
- Clinic of Reconstructive Dentistry, Center for Dental Medicine, University of Zurich, Zürich, Switzerland
- Department of Reconstructive Dentistry, University Center for Dental Medicine Basel, University of Basel, Basel, Switzerland
| | - Marc Balmer
- Clinic of Reconstructive Dentistry, Center for Dental Medicine, University of Zurich, Zürich, Switzerland
| | - Ronald E Jung
- Clinic of Reconstructive Dentistry, Center for Dental Medicine, University of Zurich, Zürich, Switzerland
| | - Alexis Ioannidis
- Clinic of Reconstructive Dentistry, Center for Dental Medicine, University of Zurich, Zürich, Switzerland
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Zhu Y, Wen A, Xiao N, Gao Z, Zheng S, Fu X, Zhao Y, Wang Y. Automatic extraction of facial median sagittal plane for patients with asymmetry based on the EDMA alignment algorithm. Head Face Med 2024; 20:34. [PMID: 38762519 PMCID: PMC11102234 DOI: 10.1186/s13005-024-00430-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 04/29/2024] [Indexed: 05/20/2024] Open
Abstract
BACKGROUND We aimed to establish a novel method for automatically constructing three-dimensional (3D) median sagittal plane (MSP) for mandibular deviation patients, which can increase the efficiency of aesthetic evaluating treatment progress. We developed a Euclidean weighted Procrustes analysis (EWPA) algorithm for extracting 3D facial MSP based on the Euclidean distance matrix analysis, automatically assigning weight to facial anatomical landmarks. METHODS Forty patients with mandibular deviation were recruited, and the Procrustes analysis (PA) algorithm based on the original mirror alignment and EWPA algorithm developed in this study were used to construct the MSP of each facial model of the patient as experimental groups 1 and 2, respectively. The expert-defined regional iterative closest point algorithm was used to construct the MSP as the reference group. The angle errors of the two experimental groups were compared to those of the reference group to evaluate their clinical suitability. RESULTS The angle errors of the MSP constructed by the two EWPA and PA algorithms for the 40 patients were 1.39 ± 0.85°, 1.39 ± 0.78°, and 1.91 ± 0.80°, respectively. The two EWPA algorithms performed best in patients with moderate facial asymmetry, and in patients with severe facial asymmetry, the angle error was below 2°, which was a significant improvement over the PA algorithm. CONCLUSIONS The clinical application of the EWPA algorithm based on 3D facial morphological analysis for constructing a 3D facial MSP for patients with mandibular deviated facial asymmetry deformity showed a significant improvement over the conventional PA algorithm and achieved the effect of a dental clinical expert-level diagnostic strategy.
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Affiliation(s)
- Yujia Zhu
- Center of Digital Dentistry, Department of Prosthodontics, Peking University School and Hospital of Stomatology, Beijing, China
- National Center of Stomatology, Chengdu, China
- National Clinical Research Center for Oral Diseases, Chengdu, China
- National Engineering Research Center of Oral Biomaterials and Digital Medical Device, Beijing, China
- Beijing Key Laboratory of Digital Stomatology, Beijing, China
- NHC Research Center of Engineering and Technology for Computerized Dentistry, Beijing, China
| | - Aonan Wen
- Center of Digital Dentistry, Department of Prosthodontics, Peking University School and Hospital of Stomatology, Beijing, China
- National Center of Stomatology, Chengdu, China
- National Clinical Research Center for Oral Diseases, Chengdu, China
- National Engineering Research Center of Oral Biomaterials and Digital Medical Device, Beijing, China
- Beijing Key Laboratory of Digital Stomatology, Beijing, China
- NHC Research Center of Engineering and Technology for Computerized Dentistry, Beijing, China
| | - Ning Xiao
- Center of Digital Dentistry, Department of Prosthodontics, Peking University School and Hospital of Stomatology, Beijing, China
- National Center of Stomatology, Chengdu, China
- National Clinical Research Center for Oral Diseases, Chengdu, China
- National Engineering Research Center of Oral Biomaterials and Digital Medical Device, Beijing, China
- Beijing Key Laboratory of Digital Stomatology, Beijing, China
- NHC Research Center of Engineering and Technology for Computerized Dentistry, Beijing, China
| | - Zixiang Gao
- Center of Digital Dentistry, Department of Prosthodontics, Peking University School and Hospital of Stomatology, Beijing, China
- National Center of Stomatology, Chengdu, China
- National Clinical Research Center for Oral Diseases, Chengdu, China
- National Engineering Research Center of Oral Biomaterials and Digital Medical Device, Beijing, China
- Beijing Key Laboratory of Digital Stomatology, Beijing, China
- NHC Research Center of Engineering and Technology for Computerized Dentistry, Beijing, China
| | - Shengwen Zheng
- School of Computer Science, Beijing University of Posts and Telecommunications (National Pilot Software Engineering School), Beijing, China
- Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China
| | - Xiangling Fu
- School of Computer Science, Beijing University of Posts and Telecommunications (National Pilot Software Engineering School), Beijing, China.
- Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China.
| | - Yijiao Zhao
- Center of Digital Dentistry, Department of Prosthodontics, Peking University School and Hospital of Stomatology, Beijing, China.
- National Center of Stomatology, Chengdu, China.
- National Clinical Research Center for Oral Diseases, Chengdu, China.
- National Engineering Research Center of Oral Biomaterials and Digital Medical Device, Beijing, China.
- Beijing Key Laboratory of Digital Stomatology, Beijing, China.
- NHC Research Center of Engineering and Technology for Computerized Dentistry, Beijing, China.
| | - Yong Wang
- Center of Digital Dentistry, Department of Prosthodontics, Peking University School and Hospital of Stomatology, Beijing, China.
- National Center of Stomatology, Chengdu, China.
- National Clinical Research Center for Oral Diseases, Chengdu, China.
- National Engineering Research Center of Oral Biomaterials and Digital Medical Device, Beijing, China.
- Beijing Key Laboratory of Digital Stomatology, Beijing, China.
- NHC Research Center of Engineering and Technology for Computerized Dentistry, Beijing, China.
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吕 梁, 张 铭, 温 奧, 赵 一, 王 勇, 李 晶, 杨 庚, 柳 大. [Preliminary evaluation of chin symmetry with three dimentional soft tissue spatial angle wireframe template]. BEIJING DA XUE XUE BAO. YI XUE BAN = JOURNAL OF PEKING UNIVERSITY. HEALTH SCIENCES 2024; 56:106-110. [PMID: 38318904 PMCID: PMC10845189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Indexed: 02/07/2024]
Abstract
OBJECTIVE To develop an efficient and robust method based on three dimensional facial landmarks for evaluating chin region asymmetry at the soft tissue level and to compare it with the traditional mirror-overlap analysis method in order to test its availability. METHODS Standard symmetrical face was used for mental tubercle coordinate transformation so as to filter soft tissue three dimensional spatial angle and construct corresponding three dimensional spatial angle wireframe template. Ten patients aged 12-32 years with clinical chin region asymmetry diagnosis at the Department of Orthodontics of Peking University Hospital of Stomatology from November 2020 to November 2021 were randomly selected. Three dimensional soft tissue face scan data of the patients were collected by three dimensional face scanner and the landmark points were automatically determined by the Meshmonk non-rigid registration algorithm program, and in this way, the asymmetric three dimensional spatial angle wireframe template and corresponding spatial angle parameters were generated. Mirror-overlap analysis of face scan data was also performed in Geomagic Studio 2015 software and deviation color maps were generated. This study took mirror-overlap analysis as the gold standard method, the response rate of chin region asymmetry was eva-luated by the outcomes of the mirror-overlap analysis and three dimensional spatial angle wireframe template analysis. RESULTS Nine three dimensional spatial angle indicators were selected through coordinate transformation, and the response rate was calculated using mirror-overlap analysis as the gold standard method. Among these ten selected patients, the response rate of the total chin region asymmetry was 90% (9/10). Using the deviation value of mirror-overlap analysis as a reference, the response rate of chin region asymmetry in the X dimension was 86%, the response rate of chin region asymmetry in the Y dimension was 89%, and the response rate of chin region asymmetry in the Z dimension was 100%. CONCLUSION The three dimensional soft tissue spatial angle wireframe template proposed in this study has some feasibility in evaluating chin region asymmetry at the soft tissue level, and its ability to recognize asymmetry separately in the three dimensional direction is better than the mirror-overlap analysis method, and the indicators recognition rate still needs to be further improved.
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Affiliation(s)
- 梁 吕
- 北京大学口腔医学院·口腔医院正畸科,国家口腔医学中心,国家口腔疾病临床医学研究中心,口腔生物材料和数字诊疗装备国家工程研究中心,北京 100081Department of Orthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digi-tal Medical Devices, Beijing 100081, China
| | - 铭津 张
- 北京大学口腔医学院·口腔医院正畸科,国家口腔医学中心,国家口腔疾病临床医学研究中心,口腔生物材料和数字诊疗装备国家工程研究中心,北京 100081Department of Orthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digi-tal Medical Devices, Beijing 100081, China
| | - 奧楠 温
- 北京大学口腔医学院·口腔医院口腔医学数字化研究中心,口腔修复教研室,国家口腔医学中心,国家口腔疾病临床医学研究中心,口腔生物材料和数字诊疗装备国家工程研究中心,口腔数字医学北京市重点实验室,国家卫生健康委员会口腔医学计算机应用工程技术研究中心,北京 100081Center of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digi-tal Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry, Beijing 100081, China
- 北京大学医学部医学技术研究院,北京 100191Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
| | - 一姣 赵
- 北京大学口腔医学院·口腔医院口腔医学数字化研究中心,口腔修复教研室,国家口腔医学中心,国家口腔疾病临床医学研究中心,口腔生物材料和数字诊疗装备国家工程研究中心,口腔数字医学北京市重点实验室,国家卫生健康委员会口腔医学计算机应用工程技术研究中心,北京 100081Center of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digi-tal Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry, Beijing 100081, China
- 北京大学医学部医学技术研究院,北京 100191Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
| | - 勇 王
- 北京大学口腔医学院·口腔医院口腔医学数字化研究中心,口腔修复教研室,国家口腔医学中心,国家口腔疾病临床医学研究中心,口腔生物材料和数字诊疗装备国家工程研究中心,口腔数字医学北京市重点实验室,国家卫生健康委员会口腔医学计算机应用工程技术研究中心,北京 100081Center of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digi-tal Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry, Beijing 100081, China
- 北京大学医学部医学技术研究院,北京 100191Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
| | - 晶 李
- 北京大学口腔医学院·口腔医院正畸科,国家口腔医学中心,国家口腔疾病临床医学研究中心,口腔生物材料和数字诊疗装备国家工程研究中心,北京 100081Department of Orthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digi-tal Medical Devices, Beijing 100081, China
| | - 庚辰 杨
- 北京大学口腔医学院·口腔医院正畸科,国家口腔医学中心,国家口腔疾病临床医学研究中心,口腔生物材料和数字诊疗装备国家工程研究中心,北京 100081Department of Orthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digi-tal Medical Devices, Beijing 100081, China
| | - 大为 柳
- 北京大学口腔医学院·口腔医院正畸科,国家口腔医学中心,国家口腔疾病临床医学研究中心,口腔生物材料和数字诊疗装备国家工程研究中心,北京 100081Department of Orthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digi-tal Medical Devices, Beijing 100081, China
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Comparison Study of Extraction Accuracy of 3D Facial Anatomical Landmarks Based on Non-Rigid Registration of Face Template. Diagnostics (Basel) 2023; 13:diagnostics13061086. [PMID: 36980394 PMCID: PMC10047049 DOI: 10.3390/diagnostics13061086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 03/03/2023] [Accepted: 03/06/2023] [Indexed: 03/15/2023] Open
Abstract
(1) Background: Three-dimensional (3D) facial anatomical landmarks are the premise and foundation of facial morphology analysis. At present, there is no ideal automatic determination method for 3D facial anatomical landmarks. This research aims to realize the automatic determination of 3D facial anatomical landmarks based on the non-rigid registration algorithm developed by our research team and to evaluate its landmark localization accuracy. (2) Methods: A 3D facial scanner, Face Scan, was used to collect 3D facial data of 20 adult males without significant facial deformities. Using the radial basis function optimized non-rigid registration algorithm, TH-OCR, developed by our research team (experimental group: TH group) and the non-rigid registration algorithm, MeshMonk (control group: MM group), a 3D face template constructed in our previous research was deformed and registered to each participant’s data. The automatic determination of 3D facial anatomical landmarks was realized according to the index of 32 facial anatomical landmarks determined on the 3D face template. Considering these 32 facial anatomical landmarks manually selected by experts on the 3D facial data as the gold standard, the distance between the automatically determined and the corresponding manually selected facial anatomical landmarks was calculated as the “landmark localization error” to evaluate the effect and feasibility of the automatic determination method (template method). (3) Results: The mean landmark localization error of all facial anatomical landmarks in the TH and MM groups was 2.34 ± 1.76 mm and 2.16 ± 1.97 mm, respectively. The automatic determination of the anatomical landmarks in the middle face was better than that in the upper and lower face in both groups. Further, the automatic determination of anatomical landmarks in the center of the face was better than in the marginal part. (4) Conclusions: In this study, the automatic determination of 3D facial anatomical landmarks was realized based on non-rigid registration algorithms. There is no significant difference in the automatic landmark localization accuracy between the TH-OCR algorithm and the MeshMonk algorithm, and both can meet the needs of oral clinical applications to a certain extent.
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Abstract
Three-dimensional symmetry and coordination are important factors in facial aesthetics, and analysis of facial asymmetry is the basis for clinical diagnosis, treatment, and doctor–patient communication. With the development of three-dimensional measurement and data analysis technology, facial asymmetry analysis methods are mainly based on facial anatomic landmarks, original-mirror alignment algorithm, facial anthropometric mask, and artificial intelligence. This review summarizes the methods of three-dimensional facial asymmetry analysis, and current research progress in the field. The advantages and limitations of various methods are analyzed and discussed to provide a reference for oral clinical application.
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