The Experts below are selected from a list of 3906 Experts worldwide ranked by ideXlab platform

P G Jostbrinkmann - One of the best experts on this subject based on the ideXlab platform.

Reinhilde Jacobs - One of the best experts on this subject based on the ideXlab platform.

  • Orthodontic Treatment Planning for impacted maxillary canines using conventional records versus 3d cbct
    European Journal of Ophthalmology, 2014
    Co-Authors: Ali Alqerban, Guy Willems, Christien Bernaerts, Jan Vangastel, Constantinus Politis, Reinhilde Jacobs
    Abstract:

    summary OBJECTIVES: The aim of this study was to compare the Orthodontic Treatment Planning for impacted maxillary canines based on conventional Orthodontic Treatment records versus three-dimensional (3D) infor mation taken from single cone beam computed tomography (CBCT) scans. MATERIALS AnD METHODS: This study consisted of 40 individuals with impacted maxillary canines. Patients were identified from among those referred for Orthodontic Treatment (26 females, 14 males) with a mean age of 12.5 years (± SD 3). In total, 64 impacted canines were identified, justifying the need for CBCT scans by the treating orthodontist. Two sets of information were obtained. The first set consisted of conventional Planning records [two-dimensional (2D) panoramic, 2D lateral cephalograms, and dental casts] and the second set of 3D volumetric images obtained from a single CBCT scan (3D panoramic, 3D lateral cephalograms, 3D virtual study model). For both sets, intra- and extraoral images were included. The radiographic diagnostic features, Treatment Planning, orthodontists’ opinions, and case classifications of both sets were produced and subsequently analysed by four orthodontists. RESULTS: There was no statistically significant difference in Treatment Planning between the use of both sets, in terms of either orthopaedic growth modification or Orthodontic compensation. Also, anticipated complications during Treatment and expected Treatment duration did not differ significantly. Orthodontists found the conventional set to be insufficient for Treatment Planning in 22.5 per cent and requested additional radiographs needed in 63 per cent of cases, compared with 1.3 and 0.5 per cent, respectively (P < 0.001). The observers’ confidence level was higher for therapy based on the 3D set compared with the conventional set (96.3 per cent versus 61.9 per cent, P < 0.001). COnCLUSIOnS: There was no statistically significant difference in Treatment Planning between the use of conventional and CBCT sets. CBCT images have been shown to offer useful Orthodontic Treatment Planning information similar to that of conventional Planning with a high confidence level.

  • Orthodontic Treatment Planning for impacted maxillary canines using conventional records versus 3D CBCT
    The European Journal of Orthodontics, 2014
    Co-Authors: Ali Alqerban, Guy Willems, Christien Bernaerts, Jan Vangastel, Constantinus Politis, Reinhilde Jacobs
    Abstract:

    summary OBJECTIVES: The aim of this study was to compare the Orthodontic Treatment Planning for impacted maxillary canines based on conventional Orthodontic Treatment records versus three-dimensional (3D) infor mation taken from single cone beam computed tomography (CBCT) scans. MATERIALS AnD METHODS: This study consisted of 40 individuals with impacted maxillary canines. Patients were identified from among those referred for Orthodontic Treatment (26 females, 14 males) with a mean age of 12.5 years (± SD 3). In total, 64 impacted canines were identified, justifying the need for CBCT scans by the treating orthodontist. Two sets of information were obtained. The first set consisted of conventional Planning records [two-dimensional (2D) panoramic, 2D lateral cephalograms, and dental casts] and the second set of 3D volumetric images obtained from a single CBCT scan (3D panoramic, 3D lateral cephalograms, 3D virtual study model). For both sets, intra- and extraoral images were included. The radiographic diagnostic features, Treatment Planning, orthodontists’ opinions, and case classifications of both sets were produced and subsequently analysed by four orthodontists. RESULTS: There was no statistically significant difference in Treatment Planning between the use of both sets, in terms of either orthopaedic growth modification or Orthodontic compensation. Also, anticipated complications during Treatment and expected Treatment duration did not differ significantly. Orthodontists found the conventional set to be insufficient for Treatment Planning in 22.5 per cent and requested additional radiographs needed in 63 per cent of cases, compared with 1.3 and 0.5 per cent, respectively (P < 0.001). The observers’ confidence level was higher for therapy based on the 3D set compared with the conventional set (96.3 per cent versus 61.9 per cent, P 

  • Validity of 2D lateral cephalometry in Orthodontics: a systematic review
    Progress in Orthodontics, 2013
    Co-Authors: Ana Reis Durão, Pisha Pittayapat, Maria Ivete Bolzan Rockenbach, Raphaël Olszewski, Afonso Pinhão Ferreira, Reinhilde Jacobs
    Abstract:

    Lateral cephalometric radiography is commonly used as a standard tool in Orthodontic assessment and Treatment Planning. The aim of this study was to evaluate the available scientific literature and existing evidence for the validation of using lateral cephalometric imaging for Orthodontic Treatment Planning. The secondary objective was to determine the accuracy and reliability of this technique. We did not attempt to evaluate the value of this radiographic technique for other purposes. A literature search was performed using specific keywords on electronic databases: Ovid MEDLINE, Scopus and Web of Science. Two reviewers selected relevant articles, corresponding to predetermined inclusion criteria. The electronic search was followed by a hand search of the reference lists of relevant papers. Two reviewers assessed the level of evidence of relevant publications as high, moderate or low. Based on this, the evidence grade for diagnostic efficacy was rated as strong, moderately strong, limited or insufficient. The initial search revealed 784 articles listed in MEDLINE (Ovid), 1,034 in Scopus and 264 articles in the Web of Science. Only 17 articles met the inclusion criteria and were selected for qualitative synthesis. Results showed seven studies on the role of cephalometry in Orthodontic Treatment Planning, eight concerning cephalometric measurements and landmark identification and two on cephalometric analysis. It is surprising that, notwithstanding the 968 articles published in peer-reviewed journals, scientific evidence on the usefulness of this radiographic technique in Orthodontics is still lacking, with contradictory results. More rigorous research on a larger study population should be performed to achieve full evidence on this topic.

Kenji Takada - One of the best experts on this subject based on the ideXlab platform.

  • artificial intelligence expert systems with neural network machine learning may assist decision making for extractions in Orthodontic Treatment Planning
    Journal of Evidence Based Dental Practice, 2016
    Co-Authors: Kenji Takada
    Abstract:

    Article Title and Bibliographic Information New approach for the diagnosis of extractions with neural network machine learning. Seok-Ki Jung and Tae-Woo Kim. Am J Orthod Dentofacial Orthop 2016;149:127-33. Source of Funding Not reported. Type of Study/Design Mathematical modeling.

  • Decision-making system for Orthodontic Treatment Planning based on direct implementation of expertise knowledge
    2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010
    Co-Authors: Masakazu Yagi, Hiroko Ohno, Kenji Takada
    Abstract:

    Development of the decision-making systems has been highly demanded to provide objective evidence for the decisions of experts, especially in medicine, and a variety of systems have been developed by means of the state-of-the-art technology. In Orthodontics, there has been no objective criterion for the decisions of whether or not to perform one of the invasive Treatments, tooth extraction. Therefore, the prediction system for the extraction-nonextraction decisions was developed by intuitive implementation of expertise knowledge in this study. The system was successfully optimized with respect to knowledge descriptions and an inference algorithm to provide the prediction accuracy of 90.5% and simulations of the decision-making process on the optimized model were performed to obtain the terse representation of the expertise knowledge elements that are assumed to affect the decision-making of experts.

  • Decision-making models compatible with digital associative processor for Orthodontic Treatment Planning
    2009 IEEE Biomedical Circuits and Systems Conference, 2009
    Co-Authors: Masakazu Yagi, Hiroko Ohno, Kenji Takada
    Abstract:

    In this paper, decision-making models for Orthodontic tooth extraction in Treatment Planning that are fully compatible with the digital associative processor has been developed. The architecture of the models was designed according to the specification of the digital associative processor. Feature variables were extracted from the pre-Treatment clinical records of Orthodontic patients and projected in the feature vector space by the 8-bit nonlinear transformation functions newly developed based on the expertise knowledge. Additionally, the fiducial Treatments were defined by actual Treatments described in the medical chart and judgments of three orthodontists having more than eight years of clinical experiences for each case. The sets of feature vectors and their corresponding fiducial Treatments were employed as templates in the models. The N-neighboring search in the model templates was performed using weighed Manhattan distance as a dissimilarity measure to predict the optimum Treatments for an input case. The hardware-friendly decision-making models for Orthodontic tooth extraction were successfully developed and it was found that they were applicable in a clinical use.

Ralf Mullerhartwich - One of the best experts on this subject based on the ideXlab platform.

Thomas Michael Präger - One of the best experts on this subject based on the ideXlab platform.