Three-dimensional monitoring of root movement during orthodontic treatment

Lee, Robert J.; Weissheimer, André; Pham, John; Go, Leslie; Menezes, Luciane Macedo de; Redmond, W Ronald; Loos, James F.; Sameshima, Glenn T.; Tong, Hongsheng

doi:10.1016/j.ajodo.2014.10.010

Cited by 65 publications

(64 citation statements)

References 33 publications

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“…In these situations, manual editing was necessary and produced slightly different outlining of surface boundaries during the segmentation process, as demonstrated in a previous study. 26 This could explain the black, red, and blue areas in the internal surface of the cranial base.…”

Section: Discussionmentioning

confidence: 98%

Fast three-dimensional superimposition of cone beam computed tomography for orthopaedics and orthognathic surgery evaluation

Weissheimer¹,

Menezes²,

Koerich³

et al. 2015

International Journal of Oral and Maxillofacial Surgery

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The aim of this study was to validate a method for fast three-dimensional (3D) superimposition of cone beam computed tomography (CBCT) in growing patients and adults (surgical cases). The sample consisted of CBCT scans of 18 patients. For 10 patients, as the gold standard, the spatial position of the pretreatment CBCT was reoriented, saved as a reoriented volume, and then superimposed on the original image. For eight patients, four non-growing and four growing, the pre- and post-treatment scans were superimposed. Fast voxel-based superimposition was performed, with registration at the anterior cranial base. This superimposition process took 10–15 s. The fit of the cranial base superimposition was verified by qualitative visualization of the semi-transparent axial, sagittal, and coronal cross-sectional slices of all corresponding anatomical structures. Virtual 3D surface models of the skull were generated via threshold segmentation, and superimposition errors in the reoriented models and the results of treatment for the treated cases were evaluated by 3D surface distances on colour-coded maps. The superimposition error of the spatial reorientation and for growing and non-growing patients was <0.5 mm, which is acceptable and clinically insignificant. The voxel-based superimposition method evaluated was reproducible in different clinical conditions, rapid, and applicable for research and clinical practice.

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Section: Discussionmentioning

confidence: 98%

Fast three-dimensional superimposition of cone beam computed tomography for orthopaedics and orthognathic surgery evaluation

Weissheimer¹,

Menezes²,

Koerich³

et al. 2015

International Journal of Oral and Maxillofacial Surgery

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“…8 Orthodontists should pay particular attention to tooth crowns, tooth roots, and craniofacial structures during orthodontic treatment. Lee et al 9 considered complete teeth including the roots in the visualization observation of the orthodontics process to be an inevitable trend in the development of computer-assisted orthodontics. Complete teeth with roots also played important roles in stress distribution in the premolar 3D model developed by Munari et al 10 and root canal length measurement by Nam et al 11 Current representative measures for the acquisition of 3D dental data mainly include CBCT and optical scanning technology.…”

Section: Introductionmentioning

confidence: 99%

Research and primary evaluation of an automatic fusion method for multisource tooth crown data

Dai

Yang

et al. 2017

Numer Methods Biomed Eng

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With the development of 3-dimensional (3D) scanning technologies in dentistry, high accuracy optical scanning data from the crown and cone beam computed tomography data from the root can be acquired easily. In many dental fields, especially in digital orthodontics, it is useful to fuse the data from the crown and the root. However, the manual fusion method is complex and difficult. A novel automatic fusion method for 2-source data from the crown and the root was researched, and its accuracy was evaluated in this study. An occlusal splint with several alumina ceramic spheres was fabricated using heat-curing resin. A multipoint (center of each sphere) alignment method was performed to achieve rapid registration of the crown data from optical scanning and the root data from cone beam computed tomography. The segmentation algorithm based on heuristic search was adopted to perform extraction and segmentation of the crown from whole optical scanning data. The level set algorithm and the marching cubes (MC) algorithm were used to reconstruct digital imaging and communications in medicine data into a 3D model. A novel multisource data fusion algorithm, which is based on iterative Laplacian deformation (ILD), was researched and applied to achieve automatic fusion. Finally, the 3D errors of the method were evaluated. The 3 groups of typical tooth data were automatically fused within 2 seconds. The mean standard deviation was less than 0.02 mm. The novel method can aid the construction of a high-quality 3D model of complete teeth to enable orthodontists to safely, reliably, and visually plan tooth alignment programs.

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“…In recent years, a new technique that generates an expected root position (ERP) setup has been reported to have the potential to evaluate root position at any stage of orthodontic treatment, with radiation exposure from only a single pretreatment CBCT scan. [31][32][33][34][35] The proof of concept of this technique was demonstrated to be feasible in an ex-vivo typodont model, and clinically in 1 patient at posttreatment and another patient at a midtreatment resets appointment. [31][32][33] In addition, the mesiodistal angulation and buccolingual inclination of the ERP setup was quantified to be as accurate and reliable as its corresponding CBCT scan within a 6 2.5 range of clinical acceptability.…”

mentioning

confidence: 99%

“…[31][32][33][34][35] The proof of concept of this technique was demonstrated to be feasible in an ex-vivo typodont model, and clinically in 1 patient at posttreatment and another patient at a midtreatment resets appointment. [31][32][33] In addition, the mesiodistal angulation and buccolingual inclination of the ERP setup was quantified to be as accurate and reliable as its corresponding CBCT scan within a 6 2.5 range of clinical acceptability. 34,35 However, the ERP setup approach has not yet been demonstrated to have the capability to guide the clinician in executing bracket repositioning as an alternative to CBCT scans at midtreatment.…”

mentioning

confidence: 99%

Accuracy and reliability of the expected root position setup on clinical decision making of root position at midtreatment

Lee

Park

et al. 2019

American Journal of Orthodontics and Dentofacial Orthopedics

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Introduction: Accurate root position is imperative for successful orthodontic treatment that is stable and functional. Current methods to monitor root position are either inaccurate or use relatively high levels of radiation. A method to generate an expected root position (ERP) setup has been reported to have the potential to accurately evaluate root position with minimal radiation. The purpose of this study was to determine the accuracy and reliability of the clinical decisions made on root position using the ERP setup. Methods: This retrospective study included 10 subjects who had pretreatment and midtreatment cone-beam computed tomography (CBCT) scans and study models. An ERP setup was generated for all patients at midtreatment. Four examiners assessed both the CBCT scan and ERP setup and made clinical decisions regarding the root position with each method. Cohen's kappa was determined to assess intraoperator and intermethod reliability. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated to determine the accuracy of the ERP setup. Results: The kappa values for intraoperator reliability for both the CBCT scan and ERP setup fell within the 0.61-0.80 range. The kappa values for intermethod reliability between the CBCT scan and ERP setup fell within the 0.61-0.80 range for all tooth groups. The sensitivity of the ERP setup ranged from 0.72 to 0.90, specificity ranged from 0.89 to 0.97, positive predictive value ranged from 0.57 to 0.85, and negative predictive value ranged from 0.93 to 0.99. Conclusions: This study demonstrated that the ERP setup, when compared with the gold standard CBCT scan, was accurate and reliable in making clinical decisions regarding root position at midtreatment. (Am J Orthod Dentofacial Orthop 2019;156:566-73)

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Three-dimensional monitoring of root movement during orthodontic treatment

Cited by 65 publications

References 33 publications

Fast three-dimensional superimposition of cone beam computed tomography for orthopaedics and orthognathic surgery evaluation

Fast three-dimensional superimposition of cone beam computed tomography for orthopaedics and orthognathic surgery evaluation

Research and primary evaluation of an automatic fusion method for multisource tooth crown data

Accuracy and reliability of the expected root position setup on clinical decision making of root position at midtreatment

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