Literature DB >> 30786806

Use of CBCT Guidance for Tooth Autotransplantation in Children.

M EzEldeen1,2, J Wyatt2, A Al-Rimawi1, W Coucke3, E Shaheen1, I Lambrichts4, G Willems5, C Politis1, R Jacobs1.   

Abstract

Tooth autotransplantation (TAT) offers a viable biological approach to tooth replacement in children and adolescents. The aim of this study was to evaluate the outcome of the cone-beam computed tomographic (CBCT)-guided TAT compared to the conventional TAT protocol and to assess the 3-dimensional (3D) patterns of healing after CBCT-guided TAT (secondary aim). This study included 100 autotransplanted teeth in 88 patients. Each experimental group consisted of 50 transplants in 44 patients (31 males and 19 females). The mean (SD) age at the time of surgery was 10.7 (1.1) y for the CBCT-guided group. This was 10.6 (1.3) y for the conventional group. The mean (SD) follow-up period was 4.5 (3.1) y (range, 1.1 to 10.4 y). Overall survival rate for the CBCT-guided TAT was 92% with a success rate of 86% compared to an 84% survival rate and a 78% success rate for the conventional group ( P > 0.005). The following measurements were extracted from the 3D analysis: root hard tissue volume (RV), root length (RL), apical foramen area (AFA), and mean and maximum dentin wall thickness (DWT). Overall, the mean (SD) percentage of tissue change was as follows: RV gain by 65.8% (34.6%), RL gain by 37.3% (31.5%), AFA reduction by 91.1% (14.9%), mean DWT increase by 107.9% (67.7%), and maximum DWT increase by 26.5% (40.1%). Principal component analysis (PCA) identified the mean DWT, RV, and maximum DWT as the parameters best describing the tissue change after TAT. Cluster analysis applied to the variables chosen by the PCA classified the CBCT group into 4 distinct clusters (C1 = 37.2%, C2 = 17.1%, C3 = 28.6%, C4 = 17.1%), revealing different patterns of tissue healing after TAT. The CBCT-guided approach increased the predictability of the treatment. The 3D analysis provided insights into the patterns of healing. CBCT-guided TAT could be adopted as an alternative for the conventional approach. (Clinical trial center and ethical board University Hospitals, KU Leuven: S55287; ClinicalTrials.gov Identifier: NCT02464202).

Entities:  

Keywords:  CAD; clinical outcomes; computed tomography; digital imaging/radiology; periodontal ligament (PDL); tooth regeneration/transplantation

Mesh:

Year:  2019        PMID: 30786806     DOI: 10.1177/0022034519828701

Source DB:  PubMed          Journal:  J Dent Res        ISSN: 0022-0345            Impact factor:   6.116


  14 in total

Review 1.  Precision medicine using patient-specific modelling: state of the art and perspectives in dental practice.

Authors:  Pierre Lahoud; Reinhilde Jacobs; Philippe Boisse; Mostafa EzEldeen; Maxime Ducret; Raphael Richert
Journal:  Clin Oral Investig       Date:  2022-06-10       Impact factor: 3.606

2.  Influence of the exomass on the detection of simulated root fracture in cone-beam CT - an ex-vivo study.

Authors:  Amanda Pelegrin Candemil; Francesca Mangione; Karla Farias Vasconcelos; Anne Caroline Oenning; Reinhilde Jacobs; Deborah Queiroz Freitas; Francisco Haiter-Neto; Benjamin Salmon; Matheus Lima Oliveira
Journal:  Dentomaxillofac Radiol       Date:  2020-12-11       Impact factor: 2.419

3.  Three-Dimensional (3D) Stereolithographic Tooth Replicas Accuracy Evaluation: In Vitro Pilot Study for Dental Auto-Transplant Surgical Procedures.

Authors:  Filiberto Mastrangelo; Rossella Battaglia; Dario Natale; Raimondo Quaresima
Journal:  Materials (Basel)       Date:  2022-03-23       Impact factor: 3.623

4.  Autotransplantation of mature impacted tooth to a fresh molar socket using a 3D replica and guided bone regeneration: two years retrospective case series.

Authors:  Ye Wu; Jiaming Chen; Fuping Xie; Huanhuan Liu; Gang Niu; Lin Zhou
Journal:  BMC Oral Health       Date:  2019-11-14       Impact factor: 2.757

5.  Transforming Growth Factor-β3/Chitosan Sponge (TGF-β3/CS) Facilitates Osteogenic Differentiation of Human Periodontal Ligament Stem Cells.

Authors:  Yangfan Li; Zhifen Qiao; Fenglin Yu; Huiting Hu; Yadong Huang; Qi Xiang; Qihao Zhang; Yan Yang; Yueping Zhao
Journal:  Int J Mol Sci       Date:  2019-10-09       Impact factor: 5.923

6.  Autotransplantation of Two Immature Third Molars with the Use of L-PRF.

Authors:  Manon Rey Lescure; Nicola Alberto Valente; Sibylle Chatelain; Chiara Cinquini; Antonio Barone
Journal:  Case Rep Dent       Date:  2021-01-02

7.  Application effect of computer-aided design combined with three-dimensional printing technology in autologous tooth transplantation: a retrospective cohort study.

Authors:  Hui Wang; Shuang Han; Jue Chen; Jihong Zhao; Haoyan Zhong
Journal:  BMC Oral Health       Date:  2022-01-11       Impact factor: 2.757

8.  Artificial Intelligence (AI)-Driven Molar Angulation Measurements to Predict Third Molar Eruption on Panoramic Radiographs.

Authors:  Myrthel Vranckx; Adriaan Van Gerven; Holger Willems; Arne Vandemeulebroucke; André Ferreira Leite; Constantinus Politis; Reinhilde Jacobs
Journal:  Int J Environ Res Public Health       Date:  2020-05-25       Impact factor: 3.390

Review 9.  Materials for Dentoalveolar Bioprinting: Current State of the Art.

Authors:  Mehdi Salar Amoli; Mostafa EzEldeen; Reinhilde Jacobs; Veerle Bloemen
Journal:  Biomedicines       Date:  2021-12-30

10.  Rapid prototyping-assisted tooth autotransplantation is associated with a reduced root canal treatment rate: a retrospective cohort study.

Authors:  Lisa Alice Hwang; Chi-Yuan Chang; Wei-Chia Su; Chi-Wha Chang; Chien-Yu Huang
Journal:  BMC Oral Health       Date:  2022-02-02       Impact factor: 2.757

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