Publishing type：Research paper (scientific journal)  

DOI： 10.1002/osi2.70005

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1007/s00520-023-07786-4

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Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

(1) Background: The impacts of metal artifacts (MAs) on the contouring workload for head and neck radiotherapy have not yet been clarified. Therefore, this study evaluated the relationship between the contouring time of the MAs area and MAs on head and neck radiotherapy treatment planning. (2) Methods: We used treatment planning computed tomography (CT) images for head and neck radiotherapy. MAs were classified into three severities by the percentage of CT images containing MAs: mild (<25%), moderate (25–75%), and severe (>75%). We randomly selected nine patients to evaluate the relationship between MAs and the contouring time of the MAs area. (3) Results: The contouring time of MAs showed moderate positive correlations with the MAs volume and the number of CT images containing MAs. Interobserver reliability of the extracted MAs volume and contouring time were excellent and poor, respectively. (4) Conclusions: Our study suggests that the contouring time of MAs areas is related to individual commitment rather than clinical experience. Therefore, the development of software combining metal artifact reduction methods with automatic contouring methods is necessary to reducing interobserver variability and contouring workload.

DOI： 10.3390/tomography9010009

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Publishing type：Research paper (scientific journal)   Publisher：IOS Press  

BACKGROUND: Suprahyoid muscles behavior during the tongue lifting movement has not yet been elucidated. OBJECTIVE: The purpose of this study was to investigate the potential of elastography imaging to examine developmental oral dysfunction in children and oral hypofunction in older adults using sonography. METHODS: Tongue pressure was measured using a manometer with a probe. The tongue pressure was measured with simultaneously scanning the geniohyoid muscle (GHM) and the anterior belly of the digastric muscle (DGM) using sonographic elastography. Sagittal images of the GHM and coronal images of the DGM were used for the strain ratio measurement. The strain ratio of the muscles was measured three times for each subject with the tongue pressure values of 0–30 kPa. RESULTS: The strain ratio of the GHM were higher than those of the DGM at tongue pressure of 10, 20 and 30 kPa. The strain ratio of the GHM increased as the tongue pressure increased in all participants. In contrast, the strain ratio of the DGM tended to slowly decrease as tongue pressure increased in female participants. CONCLUSION: Sonographic elastography is useful for visual and quantitative evaluation of elastic properties in suprahyoid muscles during tongue lifting movements.

DOI： 10.3233/bme-221414

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Language：Japanese   Publishing type：Research paper (scientific journal)  

DOI： 10.11242/dentalradiology.61.41

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Language：English   Publishing type：Research paper (scientific journal)  

Deep learning is a subset of machine learning that can be employed to accurately predict biological transitions. Eliminating hepatitis B surface antigens (HBsAgs) is the final therapeutic endpoint for chronic hepatitis B. Reliable predictors of the disappearance or reduction in HBsAg levels have not been established. Accurate predictions are vital to successful treatment, and corresponding efforts are ongoing worldwide. Therefore, this study aimed to identify an optimal deep learning model to predict the changes in HBsAg levels in daily clinical practice for inactive carrier patients. We identified patients whose HBsAg levels were evaluated over 10 years. The results of routine liver biochemical function tests, including serum HBsAg levels for 1, 2, 5, and 10 years, and biometric information were obtained. Data of 90 patients were included for adaptive training. The predictive models were built based on algorithms set up by SONY Neural Network Console, and their accuracy was compared using statistical analysis. Multiple regression analysis revealed a mean absolute percentage error of 58%, and deep learning revealed a mean absolute percentage error of 15%; thus, deep learning is an accurate predictive discriminant tool. This study demonstrated the potential of deep learning algorithms to predict clinical outcomes.

DOI： 10.3390/jcm11020387

PubMed

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Language：Japanese   Publisher：(公社)日本歯科医師会  

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Language：Japanese   Publisher：(NPO)日本歯科放射線学会  

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Language：Japanese   Publisher：(NPO)日本歯科放射線学会  

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Language：Japanese   Publisher：(NPO)日本歯科放射線学会  

口腔内超音波検査により小唾液腺の口腔内超音波正常像について検討した。口腔乾燥感を含め口腔内に自覚症状のない健常な成人20名(女性13名、男性7名、平均29.4歳)を対象とした。超音波診断装置には、本体としてHIVISION Preirusを、超音波プローブには日常臨床で口腔内超音波走査に使用しているホッケースティック型術中用小型リニアプローブEUP-O54Jを使用した。口唇腺は上下唇とも口腔粘膜直下に一〜二層になって分布が確認された。また、腺葉群の大きさはそれぞれ後方の口角付近の方が大きく、厚みに相当する短径は上唇で平均1.5mm、下唇で2.2mmであった。さらに、血流表示画像において腺葉群内部の血流の確認が可能であり、マイクロスコピーコイルを用いたMRIに近い画像所見を得ることが可能であったと判断された。

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Other Link： https://search.jamas.or.jp/index.php?module=Default&action=Link&pub_year=2021&ichushi_jid=J00567&link_issn=&doc_id=20210406250001&doc_link_id=10.11242%2Fdentalradiology.60.35&url=https%3A%2F%2Fdoi.org%2F10.11242%2Fdentalradiology.60.35&type=J-STAGE&icon=https%3A%2F%2Fjk04.jamas.or.jp%2Ficon%2F00007_3.gif

Language：Japanese   Publisher：新潟歯学会  

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Language：Japanese   Publisher：(NPO)日本口腔科学会  

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Language：Japanese   Publisher：(NPO)日本歯科放射線学会  

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Language：Japanese   Publisher：Japanese Society for Oral and Maxillofacial Radiology  

<b>Objective</b>: In order to establish a response indicator for predicting the treatment effects of oral appliances in patients with obstructive sleep apnea syndrome, we examine the utility of synchronous real-time dynamic ultrasound monitoring of the motion of the hyoid bone and the mandibular condyle during anterior mandibular movement.<br><b>Materials and methods</b>: Eight healthy volunteers, including three females and five males, were recruited for this study. None of the subjects had a history of sleep-related disorders. The synchronous real-time dynamic monitoring of mandibular protrusion was performed using two ultrasound systems with dedicated intraoperative probes. We measured five consecutive movements of the lateral portion of the mandibular condyle as an indicator of the anterior movement of the mandible and five consecutive movements of the lateral edge of the hyoid body as an indicator of the caudal movement of the hyoid bone.<br><b>Results</b>: The variation coefficient of the response ratio, which was defined as the ratio between hyoid caudal movement and mandibular anterior movement, was smaller than the amount of hyoid caudal movement in every subject. The mean amount of hyoid movement ranged from 2.0mm to 9.0mm, and the mean response ratio ranged from 0.28 to 0.87. The mean variation coefficient ranged from 5.2% to 19.5% for hyoid movement and from 4.6% to 16.1% for the response ratio.<br><b>Conclusion</b>: It was speculated that interpersonal comparisons could be performed using representative individual response ratio values as an indicator of the treatment effects of oral appliances.

DOI： 10.11242/dentalradiology.56.64

CiNii Article

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