1
|
He L, Que G, Yang X, Yan S, Luo S. Prevalence, clinical characteristics, and 3-dimensional radiographic analysis of supernumerary teeth in Guangzhou, China: a retrospective study. BMC Oral Health 2023; 23:351. [PMID: 37268939 DOI: 10.1186/s12903-023-03032-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 05/11/2023] [Indexed: 06/04/2023] Open
Abstract
OBJECTIVE The aim was to investigate the prevalence and clinical and 3-dimensional (3D) radiographic characteristics of supernumerary teeth (ST) in a paediatric dental population. The factors associated with ST eruption potential were analysed, and the optimal extraction time for nonerupted ST was discussed. METHODS A retrospective study was performed in a 13,336-participant baseline population aged 3-12 years for whom panoramic radiographs had been obtained in the hospital from 2019 to 2021. The medical records and radiographic data were reviewed to identify patients with ST. Both the demographic variables and ST characteristics were recorded and analysed . RESULTS In total, 890 patients with 1,180 ST were screened from the 13,336 baseline population. The ratio of males (679) to females (211) was approximately 3.2:1. Generally, ST occurred singularly and were frequently found in the maxilla (98.1%). A total of 40.8% of ST were erupted, and the 6-year-old age group presented the highest eruption rate (57.8%). The eruption rate of ST was highly negatively correlated with age. A total of 598 patients additionally underwent cone- beam computed tomography (CBCT). According to the CBCT images, the majority of ST were conical, normally oriented, palatally situated, nonerupted and symptomatic. The most common ST-associated complication was failed eruption of adjacent teeth. In addition, symptomatic ST were more common in the 7- to 8- and 9- to 10-year-old age groups. The eruption rate of ST was 25.3% among the patients who had undergone CBCT. A normal orientation and the labial position were significant protective factors for ST eruption, with odds ratios (ORs) of 0.004 (0.000-0.046) and 0.086 (0.007-1.002), respectively. Age and the palatal position were significant risk factors, with ORs of 1.193 (1.065-1.337) and 2.352 (1.377-4.02), respectively. CONCLUSIONS This study provides a detailed analysis of ST characteristics in 3-12 year old children. Age as well as the position and orientation of ST were reliable predictors of the ST eruption. An age of 6 years old may be the optimal time for extraction of nonerupted ST to maximize the utilization of eruption potential and reduce the incidence of ST-associated complications.
Collapse
Affiliation(s)
- Lidan He
- Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Guoying Que
- Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong Province, China.
| | - Xiaoxia Yang
- Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Siqi Yan
- Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Song Luo
- Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong Province, China
| |
Collapse
|
2
|
Adisornkanj P, Chanprasit R, Eliason S, Fons JM, Intachai W, Tongsima S, Olsen B, Arold ST, Ngamphiw C, Amendt BA, Tucker AS, Kantaputra P. Genetic Variants in Protein Tyrosine Phosphatase Non-Receptor Type 23 Are Responsible for Mesiodens Formation. BIOLOGY 2023; 12:393. [PMID: 36979085 PMCID: PMC10045488 DOI: 10.3390/biology12030393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 02/24/2023] [Accepted: 02/28/2023] [Indexed: 03/06/2023]
Abstract
A mesiodens is a supernumerary tooth located in the midline of the premaxilla. To investigate the genetic cause of mesiodens, clinical and radiographic examination were performed on 23 family members of a two-generation Hmong family. Whole exome sequencing (WES) or Sanger sequencing were performed in 22 family members and two unrelated Thai patients with mesiodens. WES in the Hmong family revealed a missense mutation (c.1807G>A;p.Glu603Lys) in PTPN23 in seven affected members and six unaffected members. The mode of inheritance was autosomal dominance with incomplete penetrance (53.84%). Two additional mutations in PTPN23, c.2248C>G;p.Pro750Ala and c.3298C>T;p.Arg1100Cys were identified in two unrelated patients with mesiodens. PTPN23 is a regulator of endosomal trafficking functioning to move activated membrane receptors, such as EGFR, from the endosomal sorting complex towards the ESCRT-III complex for multivesicular body biogenesis, lysosomal degradation, and subsequent downregulation of receptor signaling. Immunohistochemical study and RNAscope on developing mouse embryos showed broad expression of PTPN23 in oral tissues, while immunofluorescence showed that EGFR was specifically concentrated in the midline epithelium. Importantly, PTPN23 mutant protein was shown to have reduced phosphatase activity. In conclusion, mesiodens were associated with genetic variants in PTPN23, suggesting that mesiodens may form due to defects in endosomal trafficking, leading to disrupted midline signaling.
Collapse
Affiliation(s)
- Ploy Adisornkanj
- Center of Excellence in Medical Genetics Research, Faculty of Dentistry, Chiang Mai University, Chiang Mai 50200, Thailand
- Division of Pediatric Dentistry, Department of Orthodontics and Pediatric Dentistry, Faculty of Dentistry, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Rajit Chanprasit
- Dental Department, Wiang Kaen Hospital, Wiang Kaen, Chiang Rai 57310, Thailand
| | - Steven Eliason
- Department of Anatomy and Cell Biology and the Craniofacial Anomalies Research Center, The University of Iowa, Iowa City, IA 52242, USA
| | - Juan M. Fons
- Centre for Craniofacial and Regenerative Biology, King’s College London, Floor 27 Guy’ Hospital, London Bridge, London SE1 9RT, UK
| | - Worrachet Intachai
- Center of Excellence in Medical Genetics Research, Faculty of Dentistry, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Sissades Tongsima
- National Biobank of Thailand, National Science and Technology Development Agency, Thailand Science Park, Pathum Thani 12120, Thailand
| | - Bjorn Olsen
- Department of Developmental Biology, Harvard School of Dental Medicine, Harvard University, Boston, MA 02115, USA
| | - Stefan T. Arold
- Computational Bioscience Research Center, Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
- Center for Structural Biology, National Institute of Health and Medical Research, National Centre for Scientific Research, University of Montpellier, 34090 Montpellier, France
| | - Chumpol Ngamphiw
- National Biobank of Thailand, National Science and Technology Development Agency, Thailand Science Park, Pathum Thani 12120, Thailand
| | - Brad A. Amendt
- Department of Anatomy and Cell Biology and the Craniofacial Anomalies Research Center, The University of Iowa, Iowa City, IA 52242, USA
- Iowa Institute of Oral Health Research, University of Iowa, Iowa City, IA 52242, USA
| | - Abigail S. Tucker
- Centre for Craniofacial and Regenerative Biology, King’s College London, Floor 27 Guy’ Hospital, London Bridge, London SE1 9RT, UK
| | - Piranit Kantaputra
- Center of Excellence in Medical Genetics Research, Faculty of Dentistry, Chiang Mai University, Chiang Mai 50200, Thailand
- Division of Pediatric Dentistry, Department of Orthodontics and Pediatric Dentistry, Faculty of Dentistry, Chiang Mai University, Chiang Mai 50200, Thailand
| |
Collapse
|
3
|
Zhang H, Gong X, Xu X, Wang X, Sun Y. Tooth number abnormality: from bench to bedside. Int J Oral Sci 2023; 15:5. [PMID: 36604408 PMCID: PMC9816303 DOI: 10.1038/s41368-022-00208-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 09/24/2022] [Accepted: 11/01/2022] [Indexed: 01/07/2023] Open
Abstract
Tooth number abnormality is one of the most common dental developmental diseases, which includes both tooth agenesis and supernumerary teeth. Tooth development is regulated by numerous developmental signals, such as the well-known Wnt, BMP, FGF, Shh and Eda pathways, which mediate the ongoing complex interactions between epithelium and mesenchyme. Abnormal expression of these crutial signalling during this process may eventually lead to the development of anomalies in tooth number; however, the underlying mechanisms remain elusive. In this review, we summarized the major process of tooth development, the latest progress of mechanism studies and newly reported clinical investigations of tooth number abnormality. In addition, potential treatment approaches for tooth number abnormality based on developmental biology are also discussed. This review not only provides a reference for the diagnosis and treatment of tooth number abnormality in clinical practice but also facilitates the translation of basic research to the clinical application.
Collapse
Affiliation(s)
- Han Zhang
- grid.24516.340000000123704535Department of Implantology, Stomatological Hospital and Dental School of Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai, China
| | - Xuyan Gong
- grid.24516.340000000123704535Department of Implantology, Stomatological Hospital and Dental School of Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai, China
| | - Xiaoqiao Xu
- grid.24516.340000000123704535Department of Implantology, Stomatological Hospital and Dental School of Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai, China
| | - Xiaogang Wang
- grid.64939.310000 0000 9999 1211Key Laboratory of Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University, Beijing, China
| | - Yao Sun
- Department of Implantology, Stomatological Hospital and Dental School of Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai, China.
| |
Collapse
|
4
|
Kim J, Hwang JJ, Jeong T, Cho BH, Shin J. Deep learning-based identification of mesiodens using automatic maxillary anterior region estimation in panoramic radiography of children. Dentomaxillofac Radiol 2022; 51:20210528. [PMID: 35731733 PMCID: PMC9522977 DOI: 10.1259/dmfr.20210528] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 06/06/2022] [Accepted: 06/11/2022] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVES The purpose of this study is to develop and evaluate the performance of a model that automatically sets a region of interest (ROI) and diagnoses mesiodens in panoramic radiographs of growing children using deep learning technology. METHODS Out of 988 panoramic radiographs, 489 patients with mesiodens were classified as an experimental group, and 499 patients without mesiodens were classified as a control group. This study consists of two networks. The first network (DeeplabV3plus) is a segmentation model that uses the posterior molar space to set the ROI in the maxillary anterior region with the mesiodens in the panoramic radiograph. The second network (Inception-resnet-v2) is a classification model that uses cropped maxillary anterior teeth to determine the presence of mesiodens. The data were divided into five groups and cross-validated. Deep learning model were created and trained using Inception-ResNet-v2. The performance of the segmentation network was evaluated using accuracy, Intersection over Union (IoU), and MeanBFscore. The overall network performance was evaluated using accuracy, precision, recall, and F1-score. RESULTS Segmentation performance using posterior molar space in panoramic radiographs was 0.839, IoU 0.762, and MeanBFscore 0.907. The mean values of accuracy, precision, recall, F1-score, and area under the curve for the diagnosis of mesiodens using automatic segmentation were 0.971, 0.971, 0.971, 0.971, and 0.971, respectively. CONCLUSIONS The diagnostic performance of the deep learning system using posterior molar space on the panoramic radiograph was sufficiently useful. The results of the deep learning system confirmed the possibility of complete automation of the classification of mesiodens.
Collapse
Affiliation(s)
- Jihoon Kim
- Department of Pediatric Dentistry, School of Dentistry, Pusan National University, Yangsan, South Korea
| | - Jae Joon Hwang
- Department of Pediatric Dentistry, School of Dentistry, Pusan National University, Yangsan, South Korea
| | - Taesung Jeong
- Department of Pediatric Dentistry, School of Dentistry, Pusan National University, Yangsan, South Korea
| | - Bong-Hae Cho
- Department of Pediatric Dentistry, School of Dentistry, Pusan National University, Yangsan, South Korea
| | - Jonghyun Shin
- Department of Pediatric Dentistry, School of Dentistry, Pusan National University, Yangsan, South Korea
| |
Collapse
|
5
|
Zhao L, Liu S, Zhang R, Yang R, Zhang K, Xie X. Analysis of the distribution of supernumerary teeth and the characteristics of mesiodens in Bengbu, China: a retrospective study. Oral Radiol 2020; 37:218-223. [PMID: 32198663 DOI: 10.1007/s11282-020-00432-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 03/10/2020] [Indexed: 11/28/2022]
Abstract
OBJECTIVES To evaluate the distribution of supernumerary teeth (ST) and the characteristics of mesiodens. METHODS Panoramic radiographs of 48,700 outpatients were used to assess the distribution of ST. A total of 142 cone beam computed tomography (CBCT) images were used to evaluate the characteristics of mesiodens. RESULTS A total of 1.24% of individuals aged from 1 to 98 years were diagnosed with ST among 48,700 outpatients, and males had a higher percentage of ST than females (2.94:1); patients aged 6-12 years were the most frequently diagnosed. More females had ST impacted in bone than males. The percentages of patients with 1 and 2 ST were 0.949 and 0.290%, respectively. The most frequent location, crown direction, and morphology of mesiodens were palatal, inverted, and conical, respectively. The tooth lengths of mesiodens in males and of erupted mesiodens were longer than that those in females and of unerupted mesiodens, respectively. Inverted mesiodens had the shortest tooth length compared with vertical and horizontal mesiodens. These results were statistically significant. CONCLUSIONS The distribution of ST and mesiodens were both related to gender, and patients aged 6-12 years were the most frequently detected. The length of the mesiodens was associated with the growth direction and mesiodens eruption.
Collapse
Affiliation(s)
- Lili Zhao
- Department of Stomatology, The First Affiliated Hospital of Bengbu Medical College, 287 Chang Huai Road, Bengbu, China
| | - Shanshan Liu
- Department of Stomatology, The First Affiliated Hospital of Bengbu Medical College, 287 Chang Huai Road, Bengbu, China
| | - Rongxiu Zhang
- Department of Stomatology, The First Affiliated Hospital of Bengbu Medical College, 287 Chang Huai Road, Bengbu, China
| | - Ren Yang
- Department of Stomatology, The First Affiliated Hospital of Bengbu Medical College, 287 Chang Huai Road, Bengbu, China
| | - Kai Zhang
- Department of Stomatology, The First Affiliated Hospital of Bengbu Medical College, 287 Chang Huai Road, Bengbu, China
| | - Xiaofei Xie
- Department of Stomatology, The First Affiliated Hospital of Bengbu Medical College, 287 Chang Huai Road, Bengbu, China.
| |
Collapse
|
6
|
Liu S, Li J, Xu J, Liao S, Chen Y, Zhang R, Tian R, Zhang K. Lack of association between PAX6/SOSTDC1/FAM20B gene polymorphisms and mesiodens. BMC Oral Health 2019; 19:90. [PMID: 31133012 PMCID: PMC6537368 DOI: 10.1186/s12903-019-0788-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Accepted: 05/20/2019] [Indexed: 11/24/2022] Open
Abstract
Background The purpose of this study was to analyze the association between the genetic polymorphism of genes (PAX6, SOSTDC1and FAM20B) and the susceptibility to mesiodens. Methods This study was carried out on 50 patients with mesiodens and 50 controls. The family history of each patient with mesiodens were recorded. Genomic DNA was extracted from saliva samples, and single nucleotide polymorphisms were detected in all exons and exon/intron boundaries of PAX6, SOSTDC1 and FAM20B using Sanger sequencing. The data were analyzed using pearson chi-square test with theoretical frequency ≥ 5. For theoretical frequency less than 5 but at least 1 (≤20% cell), the data were analyzed by continuity correction. For the rest, Fisher’s Exact test was used. A P-value< 0.05 was considered statistically significant. The Odds ratio (OR) and confidence intervals (CI) were recorded. Results Three polymorphisms were detected in PAX6. Two polymorphisms were detected in SOSTDC1. Twenty-nine polymorphisms were detected in FAM20B. Although, the T allele of FAM20B (rs3766626) appears to be associated with mesiodens (P = 0.051), there were no significant differences of PAX6/SOSTDC1/FAM20B gene polymorphisms between the two groups. The T allele of FAM20B (rs3766626) was associated with susceptibility to two mesiodens (P < 0.001; OR = 8.333; CI = 2.516–27.600). Conclusions Lack of association between PAX6/SOSTDC1/FAM20B gene polymorphisms and mesiodens in the population studied was detected. Further studies with large samples on T allele of FAM20B (rs3766626) are needed. Electronic supplementary material The online version of this article (10.1186/s12903-019-0788-3) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Shanshan Liu
- Department of Stomatology, The First Affiliated Hospital of Bengbu Medical College, 287 Chang Huai Road, Bengbu, 233004, China
| | - Jiancheng Li
- Department of Stomatology, The First Affiliated Hospital of Bengbu Medical College, 287 Chang Huai Road, Bengbu, 233004, China
| | - Jincheng Xu
- Department of Stomatology, The First Affiliated Hospital of Bengbu Medical College, 287 Chang Huai Road, Bengbu, 233004, China
| | - Shengkai Liao
- Department of Stomatology, The First Affiliated Hospital of Bengbu Medical College, 287 Chang Huai Road, Bengbu, 233004, China
| | - Yongfeng Chen
- Department of Stomatology, The First Affiliated Hospital of Bengbu Medical College, 287 Chang Huai Road, Bengbu, 233004, China
| | - Rongxiu Zhang
- Department of Stomatology, The First Affiliated Hospital of Bengbu Medical College, 287 Chang Huai Road, Bengbu, 233004, China
| | - Ruixue Tian
- Department of Stomatology, The First Affiliated Hospital of Bengbu Medical College, 287 Chang Huai Road, Bengbu, 233004, China
| | - Kai Zhang
- Department of Stomatology, The First Affiliated Hospital of Bengbu Medical College, 287 Chang Huai Road, Bengbu, 233004, China.
| |
Collapse
|