A5017183294- Head and Neck Cancer Studies
- Dental Radiography and Imaging
- Oral and Maxillofacial Pathology
- Cancer Diagnosis and Treatment
- Temporomandibular Joint Disorders
- Oral health in cancer treatment
- Salivary Gland Tumors Diagnosis and Treatment
- Advanced X-ray and CT Imaging
- Medical Imaging Techniques and Applications
- Laser Material Processing Techniques
- Orthodontics and Dentofacial Orthopedics
- Bone Tumor Diagnosis and Treatments
- Radiomics and Machine Learning in Medical Imaging
- Advanced Radiotherapy Techniques
- Cancer-related molecular mechanisms research
- Bone and Joint Diseases
- dental development and anomalies
- Diamond and Carbon-based Materials Research
- Laser-induced spectroscopy and plasma
- Bone health and osteoporosis research
- Head and Neck Surgical Oncology
- Oral Health Pathology and Treatment
- Advanced Neuroimaging Techniques and Applications
- Bone health and treatments
- Medical Imaging and Analysis
Hiroshima University
2017-2025
Taipei Medical University
2024
Hiroshima University Hospital
2023
National Medical Research Center of Dentistry and Maxillofacial Surgery
2022
Tokushima University
2015-2017
Osaka University
2008-2017
University of Rochester Medical Center
2007
University of Rochester
2006
Women Medical College
1968
Supernumerary teeth are a common anomaly and frequently observed in paediatric patients. To prevent or minimize complications, early diagnosis treatment is ideal children with supernumerary teeth.This study aimed to apply convolutional neural network (CNN)-based deep learning detect the presence of during mixed dentition stage.Three CNN models, AlexNet, VGG16-TL, InceptionV3-TL, were employed this study. A total 220 panoramic radiographs (from aged 6 years 0 months 9 months) including...
Abstract Temporomandibular disorders are typically accompanied by a number of clinical manifestations that involve pain and dysfunction the masticatory muscles temporomandibular joint. The most important subgroup articular abnormalities in patients with includes different forms disc displacement deformation. Here, we propose fully automated detection segmentation system to support diagnosis disorder on magnetic resonance imaging. This uses deep learning-based semantic approaches. study...
The global coronavirus disease 2019 (COVID-19) pandemic has led to the rapid development of vaccines against this disease. Despite success international vaccination program, adverse events following vaccination, and mechanisms behind them, remain poorly understood. Here we present four cases death receipt a second dose COVID-19 vaccine, with no obvious cause identified at autopsy. Using RNA sequencing, genes that were differentially expressed between our post-vaccination control group died...
To examine if there was any correlation between the labio-lingual inclinations of mandibular central incisor and associated alveolar bone, to investigate position root apex in cancellous bone adults with untreated prognathism.High-resolution computed tomography images mandible were recorded 20 adult patients prognathism. The a its thickness distance from inner contour both labial lingual cortical plates measured. Correlations differences measured variables tested for statistical...
This study was performed to develop computer-aided screening systems that could predict osteoporosis. The were constructed using panoramic radiographs of women aged ≥ 50 years through three types deep convolutional neural networks (CNNs): Alexnet, VGG-16, and GoogLeNet; the performances evaluated.One oral radiologist classified 1500 into types. In C1, endosteal margin cortex smooth sharp, whereas porosities observed in C2 C3. risks osteoporosis higher C3 than C1; had highest risk....
This study aimed to investigate the factors influencing clinical outcomes of regenerative therapy using recombinant human fibroblast growth factor-2 (rhFGF-2).
Abstract Objectives To investigate the predictability of late cervical lymph node metastasis using radiomics analysis ultrasonographic images tongue cancer. Methods We selected 128 patients with cancer who underwent intraoral ultrasonography at pre-treatment, 35 whom had metastasis. Radiomics was used to extract and quantify image features. Segmentations were performed on three regions: hypoechoic region a 3-mm margin (0 + margin), alone (0-mm surrounding area (3-mm margin). Support vector...
Objectives: The objective of this study was to compare the accuracy contrast-enhanced CT (CECT) and MRI (CEMRI) in detection perineural spread (PNS) adenoid cystic carcinoma (ACC) oral maxillofacial regions. Methods: This consisted 13 ACCs from patients, all which were histopathologically diagnosed. Both CECT CEMRI performed patients before treatment. images each patient retrospectively evaluated for PNS. definitions PNS included abnormal density/signal intensity, contrast enhancement or...
The aim of the feasibility study was to construct deep learning models for classification multiple dental anomalies in panoramic radiographs. Panoramic radiographs with single supernumerary teeth and/or odontomas were considered "case" group; no "control" group. dataset comprised 150 radiographs: 50 each anomalies, teeth, and odontomas. To classify into case control categories, we employed AlexNet, which is a convolutional neural network model. AlexNet able whole two or three classes,...
Abstract Background We investigated the predictability of late cervical lymph node metastasis using radiomics analysis ultrasonographic images tongue cancer. Methods selected 120 patients with cancer who underwent intraoral ultrasonography, 30 which had metastasis. Radiomics was used to extract and quantify image features. Bootstrap forest (BF), support vector machine (SVM), neural tanh boost (NTB) were as learning models, receiver operating characteristic curve conducted determine...
Previous studies have shown that cement leakage into an adjacent disk space is a risk factor for new fracture after vertebroplasty. The purpose of this study was to investigate the use preoperative MRI predicting such leakage.Our institutional review board approved retrospective and waived requirement informed consent. We studied 46 vertebroplasty patients (107 vertebral bodies). Endplate cortical defect, abnormal T2 hyperintensity in space, intravertebral cleft, degree compression, wedge...