Objectives: To compare the amounts of anatomical overjet measured from facial axis (FA) points with the amounts of bracket overjet measured from bracket slot center (BSC) points.
Materials And Methods: The samples consisted of 27 subjects with normal occlusion whose models were fabricated with a three-dimensional (3D) scanner and the 3Txer program (Orapix Co Ltd, Seoul, Korea). 3D virtual brackets (0.022'' Slot, MBT setup, 3M Unitek, Monrovia, Calif) constructed with a 3D-CAD program were placed on an FA point with the 3Txer program. The arch dimension and the amounts of overjet from FA and BSC points were measured. Paired t-tests and analysis of variance (ANOVA) tests were used for statistical analysis.
Results: No significant difference in arch width and depth was observed between FA and BSC points. Although the amounts of overjet measured from FA points showed homogenous distribution, a tendency to decrease from the anterior segment (2.3 mm) to the posterior one (2.0 mm) was noted. However, the amounts of overjet measured from BSC points were variable, especially in the premolar and molar areas. Significant discrepancies in the amounts of overjet in most of the areas between FA and BSC points (more than P < .05), except the lower second premolar and second molar areas, were reported, even though insets and offsets are part of the prescription for the base of straight-wire appliance (SWA) brackets.
Conclusions: The hypotheses that the amount of overjet measured from BSC points was 3 mm through the whole segments and that distribution of the amounts of overjet from BSC points was the same as that from FA points were rejected.
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http://dx.doi.org/10.2319/041108-205.1 | DOI Listing |
Sci Data
January 2025
Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg.
To ensure the fairness and trustworthiness of machine learning (ML) systems, recent legislative initiatives and relevant research in the ML community have pointed out the need to document the data used to train ML models. Besides, data-sharing practices in many scientific domains have evolved in recent years for reproducibility purposes. In this sense, academic institutions' adoption of these practices has encouraged researchers to publish their data and technical documentation in peer-reviewed publications such as data papers.
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December 2024
The Biostatistics Center, George Washington University, Rockville, MD, USA.
Aims/hypothesis: Insulin resistance and compensatory hyperinsulinaemia are core features leading to beta cell failure in youth-onset type 2 diabetes. Insulin clearance (IC) is also a key regulator of insulin concentrations, but few data exist on IC in youth-onset type 2 diabetes. In a secondary analysis of our Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) randomised clinical trial, we investigated potential sex-, race-, ethnicity- and treatment-related differences in IC in youth-onset type 2 diabetes and aimed to identify metabolic phenotypes associated with IC at baseline and in response to metformin, metformin plus a lifestyle intervention, and metformin plus rosiglitazone.
View Article and Find Full Text PDFUltrasound Med Biol
March 2025
Department of Radiology, Liver Imaging Group, University of California San Diego, La Jolla, CA, USA.
Objectives: To implement, examine the feasibility of, and evaluate the performance of quantitative ultrasound (QUS) with a handheld point-of-care US (POCUS) device for assessing liver fat in adults.
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NPJ Syst Biol Appl
November 2024
Biocomplexity Institute and Department of Intelligent Systems Engineering, Indiana University, Bloomington, Indiana, 47408, USA.
Digital twins represent a key technology for precision health. Medical digital twins consist of computational models that represent the health state of individual patients over time, enabling optimal therapeutics and forecasting patient prognosis. Many health conditions involve the immune system, so it is crucial to include its key features when designing medical digital twins.
View Article and Find Full Text PDFBJC Rep
October 2024
Medicana International Atasehir Hospital, Demiray Precision Oncology Center, Istanbul, Turkey.
Background: Kinase-impaired class III BRAF mutations have recently received attention as a possible prognostic factor and therapeutic target. Class III BRAF variants differ from class I and class II mutations in terms of mechanism of pathway activation and therapeutic vulnerabilities. Genomic landscape analyses of tumors in large real-world cohorts represent a great opportunity to further characterize tumor-related molecular events and treatment vulnerabilities, however, such data is not yet available for tumors with BRAF class III mutations.
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