Clinical and anatomical classification of Asian eyelids by sagittal slice and its role in the choice of upper eyelid surgery

Author(s):  
I.K. Kachkinbaev ◽  
M.E. Alybaev ◽  
D.B. Nguyen
2019 ◽  
Vol 4 (5) ◽  

GalynaViktorovnaKhrushch plastic surgeon, maxillofacial surgeon, international candidat ASPS, Periorbital area is worthily considered as one of the most complicated regions in terms of correction of the age-related changes using injection techniques of medical aesthetics. According to the classification of I.I. Kolgunenko Russian (1974), tired morph type of age-related changes which is the most physiological type of aging, incorporates changes mainly focused in the middle third of the face, including in the periorbital area. These changes include the formation of grooves (tear trough, palpebromalar groove, nasojugal groove) (Figure 1), dark under-eye circles, mimic wrinkles formation, fat compartment displacement, change in mimic muscle tone, stretching of ligamentous structures, overhang of the upper eyelid.


Author(s):  
Mohammad Abu-Hegazy ◽  
Azza Elmoungi ◽  
Eman Eltantawi ◽  
Ahmed Esmael

Abstract Background Electrophysiological techniques have been used for discriminating myoclonus from other hyperkinetic movement disorders and for classifying the myoclonus subtype. This study was carried out on patients with different subtypes of myoclonus to determine the electrophysiological characteristics and the anatomical classification of myoclonus of different etiologies. This study included 20 patients with different subtypes of myoclonus compared with 30 control participants. Electrophysiological study was carried out for all patients by somatosensory evoked potential (SSEP) and electroencephalography (EEG) while the control group underwent SSEP. SSEP was evaluated in patients and control groups by stimulation of right and left median nerves. Results This study included 50 cases with myoclonus of different causes with mean age of 39.3 ± 15.7 and consisted of 23 males and 27 females. Twenty-nine (58%) of the patients were epileptics, while 21 (42%) were non-epileptics. Cases were classified anatomically into ten cases with cortical myoclonus (20%), 12 cases with subcortical myoclonus (24%), and 28 cases with cortical–subcortical myoclonus (56%). There was a significant difference regarding the presence of EEG findings in epileptic myoclonic and non-epileptic myoclonic groups (P = 0.005). Also, there were significant differences regarding P24 amplitude, N33 amplitude, P24–N33 peak-to-peak complex amplitude regarding all types of myoclonus. Primary myoclonic epilepsy (PME) demonstrated significant giant response, juvenile myoclonic epilepsy (JME) demonstrated no enhancement compared to controls, while secondary myoclonus demonstrated lower giant response compared to PME. Conclusion Somatosensory evoked potential and electroencephalography are important for the diagnosis and anatomical sub-classification of myoclonus and so may help in decision-making regarding to the subsequent management.


1986 ◽  
Vol 67 (3) ◽  
pp. 186-188
Author(s):  
I. A. Ibatullin ◽  
G. G. Ruppel

We studied the layer-by-layer anatomy of the gluteal region on 102 preparations (51 corpses) and performed a clinical analysis in 312 patients with postinjection infections of the gluteal regions treated by the traditional method.


2021 ◽  
Vol 86 (3S) ◽  
pp. S253-S258
Author(s):  
Xiang Xie ◽  
Yang An ◽  
Hongyu Xue ◽  
Hongbin Xie ◽  
Jianfang Zhao ◽  
...  

1988 ◽  
Vol 13 (1) ◽  
pp. 87-91
Author(s):  
A. J. PROSSER ◽  
I. J. BRENKEL ◽  
G. B. IRVINE

We propose an anatomical classification of fractures involving the distal articular surface of the scaphoid. The predominant patterns, in the 37 patients reviewed, were avulsion fractures from the radio-volar tip of the tuberosity and impaction fractures of the radial half of the articular surface. The possible mechanisms of injury are discussed.


Orbit ◽  
2020 ◽  
pp. 1-1
Author(s):  
Nitish Arora ◽  
Sweety Girijashankar Tiple ◽  
Namita Kumari ◽  
Sima Das

2013 ◽  
Vol 132 (6) ◽  
pp. 1028e-1039e ◽  
Author(s):  
Zhidian Hou ◽  
Jiyao Zou ◽  
Zengtao Wang ◽  
Shizhen Zhong

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