Affordable Access

Acromegaly determination using discriminant analysis of the three-dimensional facial classification in Taiwanese.

Authors
  • Wang, Ming-Hsu1
  • Lin, Jen-Der2
  • Chang, Chen-Nen3
  • Chiou, Wen-Ko4
  • 1 Graduate Institute of Business and Management College of Management, Chang Gung University, Guishan, Taoyuan, Taiwan. , (Taiwan)
  • 2 Division of Metabolism, Chang Gung Memorial Hospital, affiliated with Chang Gung University, Guishan, Taoyuan, Taiwan. , (Taiwan)
  • 3 Department of Neurosurgery, Chang Gung Memorial Hospital, affiliated with Chang Gung University, Guishan, Taoyuan, Taiwan. , (Taiwan)
  • 4 Department of Industrial Design and Graduate Institute of Business and Management College of Management, Chang Gung University, affiliated with Division of Metabolism, Chang Gung Memorial Hospital, Guishan, Taoyuan, Taiwan. , (Taiwan)
Type
Published Article
Journal
Neuro endocrinology letters
Publication Date
Aug 05, 2017
Volume
38
Issue
4
Pages
301–309
Identifiers
PMID: 28871717
Source
Medline
License
Unknown

Abstract

The discriminant functions of detection developed in this study could help patients, their families, medical practitioners and others to identify and track progressive facial change patterns before the possible patients go to the hospital, especially the lateral "angles" which can be calculated by relative point-to-point changes derived from 2D lateral imagery without the 3D anthropometric measurements. This study tries to provide a novel and easy method to detect acromegaly when the patients start to have awareness of abnormal appearance because of facial measurement changes, and it also suggests that undiagnosed patients be urged to go to the hospital as soon as possible for acromegaly early diagnosis.

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine. This record was last updated on 06/09/2018 and may not reflect the most current and accurate biomedical/scientific data available from NLM. The corresponding record at NLM can be accessed at https://www.ncbi.nlm.nih.gov/pubmed/28871717
Report this publication

Statistics

Seen <100 times