Patient's satisfaction with facial appearance and psycho-social wellness after orthognathic surgery among Hong Kong Chinese using the FACE-Q

2020 ◽  
Vol 48 (12) ◽  
pp. 1106-1111
Author(s):  
Su Keng Tan ◽  
Wai Keung Leung ◽  
Alexander T.H. Tang ◽  
Roger A. Zwahlen
Keyword(s):  
Hong Kong ◽  
Orthognathic Surgery ◽  
Hong Kong Chinese ◽  
Facial Appearance ◽  
Patient’S Satisfaction ◽  
The Face

scholarly journals Facial Appearance and Psychosocial Features in Orthognathic Surgery: A FACE-Q- and 3D Facial Image-Based Comparative Study of Patient-, Clinician-, and Lay-Observer-Reported Outcomes

2019 ◽  
Vol 8 (6) ◽  
pp. 909 ◽  
Author(s):  
Rafael Denadai ◽  
Pang-Yun Chou ◽  
Yu-Ying Su ◽  
Chi-Chin Lo ◽  
Hsiu-Hsia Lin ◽  
...  
Keyword(s):  
Orthognathic Surgery ◽  
Outcome Measurement ◽  
Three Dimensional ◽  
Assessment Tools ◽  
Multidisciplinary Teams ◽  
Facial Appearance ◽  
Patient Centered ◽  
Centered Care ◽  
The Face ◽  
Decision Making Processes

Outcome measures reported by patients, clinicians, and lay-observers can help to tailor treatment plans to meet patients’ needs. This study evaluated orthognathic surgery (OGS) outcomes using pre- and post-OGS patients’ (n = 84) FACE-Q reports, and a three-dimensional facial photograph-based panel assessment of facial appearance and psychosocial parameters, with 96 blinded layperson and orthodontic and surgical professional raters, and verified whether there were correlations between these outcome measurement tools. Post-OGS FACE-Q and panel assessment measurements showed significant (p < 0.001) differences from pre-OGS measurements. Pre-OGS patients’ FACE-Q scores were significantly (p < 0.01) lower than normal, age-, gender-, and ethnicity-matched individuals’ (n = 54) FACE-Q scores, with no differences in post-OGS comparisons. The FACE-Q overall facial appearance scale had a low, statistically significant (p < 0.001) correlation to the facial-aesthetic-based panel assessment, but no correlation to the FACE-Q lower face and lips scales. No significant correlation was observed between the FACE-Q and panel assessment psychosocial-related scales. This study demonstrates that OGS treatment positively influences the facial appearance and psychosocial-related perceptions of patients, clinicians and lay observers, but that there is only a low, or no, correlation between the FACE-Q and panel assessment tools. Future investigations may consider the inclusion of both tools as OGS treatment endpoints for the improvement of patient-centered care, and guiding the health-system-related decision-making processes of multidisciplinary teams, policymakers, and other stakeholders.

FACE RECOGNITION USING FUZZY INFERENCE SYSTEM

2009 ◽  
Vol 8 (3) ◽  
pp. 887-897
Author(s):  
Vishal Paika ◽  
Er. Pankaj Bhambri
Keyword(s):  
Neural Networks ◽  
Fuzzy Inference ◽  
Facial Features ◽  
Facial Appearance ◽  
Feature Points ◽  
Inference System ◽  
Detection Techniques ◽  
The Face ◽  
Hair Style ◽  
Facial Images

The face is the feature which distinguishes a person. Facial appearance is vital for human recognition. It has certain features like forehead, skin, eyes, ears, nose, cheeks, mouth, lip, teeth etc which helps us, humans, to recognize a particular face from millions of faces even after a large span of time and despite large changes in their appearance due to ageing, expression, viewing conditions and distractions such as disfigurement of face, scars, beard or hair style. A face is not merely a set of facial features but is rather but is rather something meaningful in its form.In this paper, depending on the various facial features, a system is designed to recognize them. To reveal the outline of the face, eyes, ears, nose, teeth etc different edge detection techniques have been used. These features are extracted in the term of distance between important feature points. The feature set obtained is then normalized and are feed to artificial neural networks so as to train them for reorganization of facial images.

Behaviour Disorder in Pre-school Children in Hong Kong

1991 ◽  
Vol 158 (2) ◽  
pp. 213-221 ◽  
Author(s):  
Siu-Luen Luk ◽  
Patrick Wing-Leung Leung ◽  
John Bacon-Shone ◽  
See-Yuen Chung ◽  
Peter Wing-Ho Lee ◽  
...  
Keyword(s):  
Hong Kong ◽  
School Children ◽  
Random Sampling ◽  
Representative Sample ◽  
Hong Kong Chinese ◽  
Stratified Random Sampling ◽  
Behaviour Disorder ◽  
Good Reliability ◽  
Second Stage ◽  
Hong Kong Chinese Children

A representative sample of 855 Hong-Kong Chinese children aged 36–48 months were assessed using the BSQ and the PBCL. Good reliability for both instruments were found. For the BSQ and PBCL, 12.75% and 27.5% were above the cut-off points of 10+ and 12 + respectively and 5.9% were above both cut-off points. In the second stage, 234 subjects were recruited by stratified random sampling according to the results of the screening stage. A clinician interviewed the parent, child and teacher before making a diagnosis. The prevalence of behaviour disorder was: nil, 53.7%; dubious, 23.1 %; mild, 18.0%; moderate, 4.5%; and severe, 0.7%. There were significantly more boys in the categories mild, moderate and severe.

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