The objective of this study to analyze stress distribution in craniofacial structures of zygomatic osseointegrated implants.An integrated system for DICOM data was utilized to create a three-dimensional model of craniofacial structures. The stress analysis was merely comparative, allowing us to relate the amount and distribution of the main stresses.The stress analysis was performed using the three-dimensional finite elemental analysis method. The system allowed visual confirmation and analysis of stress distribution as well as the convenient and simple construction of a digital biomechanical model that provided details of anatomical structures in regions of interest. To compare zygomatic implants with or without connected implants supporting the superstructure. Stresses in severely resorbed maxillae with connected implants were not concentrated around the alveolar bone supporting zygomatic implants. Stresses without connected implants tended to be generated in the zygomatic bone, at the middle part of zygomatic implant and at the joint of the fixture-abutment.Stress due to occlusal forces is mainly supported by the zygomatic bone, is transferred predominantly through the infrazygomatic crest and is divided into the frontal and temporal process of the zygomatic bone in various directions.

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The phase 1 results reflect hyperemia and have a strong potential to diagnose the disease type. Phase 3 alone is sufficient to diagnose the disease and the extent of lesion in patients with highly suspected COM.

・ TONOGI Morio 6 ) : Obstructive sleep apnea (OSA) is a social problem that can lead to cardiovascular disease, traffic accidents resulting from daytime sleepiness, and other effects due to sleep breathing disorders. Polysomnography (PSG) testing is necessary for the diagnosis of OSA at a professional medical facility but not all medical facilities can perform PSG testing. However, Japan has the highest number of computed tomographic (CT) scanners per capita, and the frequency of CT imaging is high. Therefore, CT imaging was studied to determine whether it can predict the severity of OSA and might be useful for understanding the anatomical pathophysiology of OSA. We enrolled 326 consecutive male patients with OSA who were younger than 65 years of age, given a diagnosis of PSG, and consented to CT imaging from April 2014 through March 2015 at the Ota Memorial Sleep Center (Kanagawa) . We measured the details of the maxillofacial structure of each OSA patient by threedimensionally constructing their CT data. All measurements, clinical findings, and patient backgrounds were evaluated by multiple regression analysis. Further, the results were evaluated in OSA patients divided into 2 groups according to their level of obesity. The group of non-obese (BMI <25 kg/m 2 ) OSA patients included 159 patients. Independent predictors of OSA were the hyoid position, the airway volume of the pharynx, the size of the tonsils, age, the anteroposterior length of the cranium, and the length of the tongue (R 2 =0.374) . The group of obese (BMI ≥25 kg/m 2 ) OSA 1)