Publications by authors named "M Yatabe"

Objective: This retrospective study aimed to compare the three-dimensional (3D) outcomes of the novel miniscrew-anchored maxillary protraction (MAMP) therapy and the bone-anchored maxillary protraction (BAMP) therapy.

Methods: The sample comprised growing patients with skeletal Class III malocclusion treated with two skeletal anchored maxillary protraction protocols. The MAMP group comprised 22 patients (9 female, 13 male; 10.

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Generic medications contain the identical active ingredient in the same concentration as their branded counterparts and are administered in the same manner, aiming to deliver comparable efficacy, dosage, and clinical outcomes. Nevertheless, variations in additives and formulation processes, particularly noticeable in topical medications, can influence factors like ease of use and patient adherence. Therefore, in this study, we aimed to compare the rheological attributes of branded and generic injectable ointments, assessing disparities in formulation performance and their impact on patient care.

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Article Synopsis
  • * Traditional 2D X-rays can show whether a tooth is impacted but lack precise localization and details on root resorption, while cone-beam CT (CBCT) provides 3D views but exposes patients to more radiation.
  • * Intra-oral ultrasound (io-US) is a promising, non-invasive imaging method that offers real-time images without radiation, potentially improving the diagnosis and planning for surgical treatment of impacted canine teeth.
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Automated Orientation and Registration of Cone-Beam Computed Tomography Scans.

Clin Image Based Proced Fairness AI Med Imaging Ethical Philos Issues Med Imaging (2023)

October 2023

Automated clinical decision support systems rely on accurate analysis of three-dimensional (3D) medical and dental images to assist clinicians in diagnosis, treatment planning, intervention, and assessment of growth and treatment effects. However, analyzing longitudinal 3D images requires standardized orientation and registration, which can be laborious and error-prone tasks dependent on structures of reference for registration. This paper proposes two novel tools to automatically perform the orientation and registration of 3D Cone-Beam Computed Tomography (CBCT) scans with high accuracy (<3° and <2mm of angular and linear errors when compared to expert clinicians).

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