Positional Patterns Among the Auriculotemporal Nerve, Superficial Temporal Artery, and Superficial Temporal Vein for use in Decompression Treatments for Migraine

This study aimed to clarify intersection patterns and points among the superficial temporal artery (STA), superficial temporal vein (STV), and auriculotemporal nerve (ATN) based on surface anatomical landmarks to provide useful anatomical information for surgical decompression treatments of migraine headaches in Asians. Thirty-eight hemifaces were dissected. The positional patterns among the ATN, STA, and STV were divided into three morphological types. In type I, the ATN ran toward the temporal region and superficially intersected the STA and STV (n = 32, 84.2%). In type II, the ATN ran toward the temporal region and deeply intersected the STA and STV (n = 4, 10.5%). In type III, the ATN ran toward the temporal region and deeply intersected the STV alone (n = 2, 5.3%). The intersection points of types II and III were 10.3 ± 5.6 mm (mean ± SD) and 10.4 ± 6.1 mm anterior and 42.1 ± 21.6 mm and 41.4 ± 18.7 mm superior to the tragus, respectively. The ATN superficially intersected the STA and STV in all the Korean cadaver, while the ATN deeply intersected the STA and STV in 15% of the Thai cadavers. The pattern of the ATN deeply intersecting the STA and STV was less common in present Asian populations than in previously-reported Caucasian populations, implying that migraine headaches (resulting from the STA and STV compressing the ATN) are less common in Asians.ope

Analysis of facial ultrasonography images based on deep learning

Transfer learning using a pre-trained model with the ImageNet database is frequently used when obtaining large datasets in the medical imaging field is challenging. We tried to estimate the value of deep learning for facial US images by assessing the classification performance for facial US images through transfer learning using current representative deep learning models and analyzing the classification criteria. For this clinical study, we recruited 86 individuals from whom we acquired ultrasound images of nine facial regions. To classify these facial regions, 15 deep learning models were trained using augmented or non-augmented datasets and their performance was evaluated. The F-measure scores average of all models was about 93% regardless of augmentation in the dataset, and the best performing model was the classic model VGGs. The models regarded the contours of skin and bones, rather than muscles and blood vessels, as distinct features for distinguishing regions in the facial US images. The results of this study can be used as reference data for future deep learning research on facial US images and content development.ope

Anatomical Proposal for Botulinum Neurotoxin Injection Targeting the Platysma Muscle for Treating Platysmal Band and Jawline Lifting: A Review

The platysma muscle is a thin superficial muscle that covers the entire neck and lower part of the face. The platysma muscle is the primary target muscle for botulinum neurotoxin injection therapy aimed at treating platysmal band and lower facial lifting. In the procedure of botulinum neurotoxin injection therapy, a lack of knowledge of the anatomy of the platysma muscle and the properties of botulinum neurotoxin can lead to side effects such as dysphagia, dysphonia, and weakness of the neck muscles. Anatomically safe injection sites have been proposed for the platysma muscle, and the appropriate injection technique has been reviewed. We proposed optimal injection sites based on the external anatomical features of the mandible. The aim of these proposal was to standardize the procedure for the effective use of botulinum neurotoxin injections by minimizing the dose unit and injection points and thereby preventing adverse events.ope

Ultrasonographic and Three-Dimensional Analyses at the Glabella and Radix of the Nose for Botulinum Neurotoxin Injection Procedures into the Procerus Muscle

Botulinum neurotoxin (BoNT) injections are widely used for facial rejuvenation procedures, and the procerus muscle is a major target in cases of glabellar transverse lines or rhytids. Although there have been many cadaveric studies of the procerus, its depth and thickness have not been investigated thoroughly. The aim of this study was to measure the depth and thickness of the procerus and identify the location of the intercanthal vein using ultrasonographic (US) imaging and the three-dimensional scanning method, which is needed to know to avoid side effects during BoNT injections. The morphology of the procerus was classified into two types based on the US images obtained at the glabella. The procerus was located deeper below the skin surface at the glabella than the sellion (3.8 ± 0.7 mm versus 2.7 ± 0.6 mm). The width of the procerus in US images increased from the sellion (10.9 ± 0.2 mm) to the glabella (14.5 ± 4.6 mm), whereas its thickness decreased (from 1.6 ± 0.6 mm to 1.1 ± 0.5 mm). The intercanthal vein was located 5.1 ± 4.0 mm superior to the sellion and 3.0 ± 0.6 mm below the skin's surface. The present findings provide anatomical knowledge as well as the reference location information for use when injecting BoNT into the procerus.ope

Ultrasonographic Analyses of the Forehead Region for Injectable Treatments

Botulinum toxin type A (BoNT-A) injections in the forehead region should only target the frontalis. This study applied ultrasonography with the aim of providing guidelines for predicting the layered structure and soft-tissue thickness of the forehead. We performed ultrasound scanning at 7 facial landmarks in 40 Korean adults. Allowing for the error range, the minimum depth from the skin to exclude the muscle layer was 2.3 mm, and the maximum depth from the skin to include the muscle layer was 2.8 mm. Of the total 7 points from the skin to muscle surface, significant differences between the males and females were found in 6 points (p < 0.05). Clinicians can use ultrasonography to identify the structural layers of the scalp. Even if ultrasound-guided injections are not performed, it is possible to target only muscle layers in BoNT-A injections by maintaining a needle depth of around 2.5 mm.ope

생쥐 지라에서 T세포의존성 초기 면역반응의 양상과 종자중심에 관여하는 cytokine mRNA에 대한 연구

학위논문(박사)--서울대학교 대학원 :의학과 해부학전공,2001.Docto

Correlation between Cycling Power and Muscle Thickness in Cyclists

The aim of this study was to determine the correlation between muscle thickness (MT) and cycling power in varsity cyclists using ultrasonography (US) and to identify any differences in MT between short- and long-distance cyclists. Twelve cyclists participated in this study. Real-time two-dimensional B-mode US was used to measure the MT in the anterior thigh, anterior lower leg, and trunk, especially in the abdominal and lumbar regions. A cycle ergometer was used to measure cycling power parameters such as maximum anaerobic power (over 5 s), mean anaerobic power (over 30 s), and aerobic power (over 3 min). This study was approved by the Ethics Committee of Korea National Sports University. There was a significant relationship between the MT and cycling power for the rectus femoris (RF) and vastus lateralis (VL) in the thigh, the rectus abdominis (RA) in the abdominal region, and the erector spinae (ES) in the lower back. The MT values of the RF, VL, and ES were strongly associated with the maximum and mean anaerobic power. There were significant differences between short- and long-distance cyclists in the MT of the RF in the thigh, the RA, the external abdominal oblique, the internal abdominal oblique, and the transverse abdominis muscle in the abdomen. We suggest that training programs attempting to improve cycling performance focus on improving the VL and ES via resistance weight or cycle training and also the core muscles for short-distance cyclists.restrictio

A Negative selection of B cells in the germinal centers of mouse spleen

학위논문(석사)--서울대학교 대학원 :의학과 해부학전공,1998.Maste

A proposal for the improvement of the effective licensing, certification, manufacture and production of cell therapeutics : focused on adult stem cell

학위논문(박사) --서울대학교 대학원 :수의학과,2010.2.Docto

웹 환경에서의 고신뢰 트랜잭션 처리에 관한 연구

Thesis (doctoral)--서울대학교 대학원 :전산과학과,2000.Docto