Objective: Current approaches for soft tissue thickness evaluation and visualization still represent a challenge for full extent evaluation and visualization. The aim of this clinical technique article is to introduce a novel approach for comprehensive visualization and precise evaluation of oral soft tissue thickness utilizing a fusion of optical 3D and cone-beam computed tomography (CBCT) images.
Clinical Considerations: 3D models of the maxilla were obtained by CBCT imaging and intraoral scanning. The CBCT images were reconstructed to standard tessellation language (STL) file format models by segmentation of teeth and bone using implants planning software. 3D soft tissues and teeth models were obtained by intraoral scanning and were exported in STL file format as well. 3D multimodal models were then superimposed using best-fit matching on teeth. Soft tissue thickness was then visualized and evaluated with a 3D color-coded thickness map of gingival and palatal areas created by surface comparison of both 3D models. Additionally, threshold color-coding was used to increase comprehensibility. Palatal areas were further visualized and evaluated for the optimal donor site.
Conclusions: A novel approach for 3D evaluation and visualization of masticatory mucosa thickness presents all available 3D data in a comprehensible, "clinician-friendly" manner, using threshold regions and clinically relevant views.
Clinical Significance: Proposed approach could provide comprehensive presurgical treatment planning in periodontal plastic surgery and implantology without additional invasive procedures for the patient, resulting in more predictable treatment, improved outcomes, and reduced risk for complications.
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http://dx.doi.org/10.1111/jerd.12614 | DOI Listing |
J Dent Sci
December 2024
Division for Globalization Initiative, Liaison Center for Innovative Dentistry, Tohoku University Graduate School of Dentistry, Sendai, Japan.
Background/purpose: Titanium dioxide nanotube (TNT) structures have been shown to enhance the early osseointegration of dental implants. Nevertheless, the optimal nanotube diameter for promoting osteogenesis remains unclear due to variations in cell types and manufacture of nanotubes. This study aimed to evaluate the differences in MC3T3-E1 and Saos-2 cells behavior on nanotubes of varying diameters.
View Article and Find Full Text PDFVis Intell
December 2024
Department of Information Technology and Electrical Engineering, ETH Zurich, Sternwartstrasse 7, Zürich, Switzerland.
The LLaMA family, a collection of foundation language models ranging from 7B to 65B parameters, has become one of the most powerful open-source large language models (LLMs) and the popular LLM backbone of multi-modal large language models (MLLMs), widely used in computer vision and natural language understanding tasks. In particular, LLaMA3 models have recently been released and have achieved impressive performance in various domains with super-large scale pre-training on over 15T tokens of data. Given the wide application of low-bit quantization for LLMs in resource-constrained scenarios, we explore LLaMA3's capabilities when quantized to low bit-width.
View Article and Find Full Text PDFJGH Open
January 2025
Division of Research and Development for Minimally Invasive Treatment Cancer Center, Keio University School of Medicine Tokyo Japan.
Background And Aim: It is important for endoscopist to diagnose the lesion redness. In this study, we focused on the redness of duodenal bulb. We objectively analyzed the changes in redness of the duodenal bulb using linked color imaging (LCI) with chromatic indicators.
View Article and Find Full Text PDFRisk Manag Healthc Policy
January 2025
Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, New Taipei City, 235603, Taiwan.
Purpose: As HF progresses into advanced HF, patients experience a poor quality of life, distressing symptoms, intensive care use, social distress, and eventual hospital death. We aimed to investigate the relationship between morality and potential prognostic factors among in-patient and emergency patients with HF.
Patients And Methods: A case series study: Data are collected from in-hospital and emergency care patients from 2014 to 2021, including their international classification of disease at admission, and laboratory data such as blood count, liver and renal functions, lipid profile, and other biochemistry from the hospital's electrical medical records.
DIS (Des Interact Syst Conf)
June 2022
Pennsylvania State University, University Park, PA, USA.
Remote sighted assistance (RSA) has emerged as a conversational assistive service, where remote sighted workers, ., agents, provide real-time assistance to blind users via video-chat-like communication. Prior work identified several challenges for the agents to provide navigational assistance to users and proposed computer vision-mediated RSA service to address those challenges.
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