04/01/2021
【「目測」速知自閉症風險】中大醫學院成功研發用於計算自閉症風險的「全自動視網膜圖像分析(ARIA)」技術,透過拍攝「眼底相」識別兒童的視網膜特徵,以及神經纖維層有否變薄,以計算他們罹患自閉症的風險。
現時自閉症的診斷主要依靠問卷及跨專業團隊進行評估,過程冗長且缺乏客觀篩查,令不少患者錯失幼年治療的黃金期。中大醫學院研究結果顯示其ARIA技術辨識自閉症患者的靈敏度及識別能力分別達96%及91%。團隊希望將來可利用新技術進行社區篩查,及早干預以減少自閉症對患者成長過程的影響。研究結果已於《刺針》雜誌出版的EClinicalMedicine發表。
ARIA技術已應用於評估使用者的中風風險和計算認知障礙症風險因素的腦白質病變風險。研究團隊憑藉此技術對促進社區健康作出的努力,獲社區投資共享基金頒發「社會資本動力獎 ─ 卓越夥伴獎(企業/機構)」及「社會資本動力標誌獎」,以嘉許他們對發展社會資本的傑出貢獻。
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【Detect Autism Risk by Retinal Scan】CU Medicine has successfully developed the Automatic Retinal Image Analysis (ARIA) technology to assess the risk of autism spectrum disorder (Autism). It is done by analysing the captured retinal images to identify if there are any retinal characteristics such as those related to thinning of the retinal nerve fibre layer of the children’s eyes.
The existing diagnosis of autism requires assessment mainly relying on the questionnaire and requires a lengthy assessment duration. The lack of an objective screening method, especially in young children is also a major cause of delayed diagnosis or even misdiagnosis. Study by CU Medicine shows that the sensitivity and specificity of this ARIA technology to identify autism were 96% and 91% respectively. The research team hopes that this technology can be used as a risk assessment tool for autism screening and provide early intervention instead of waiting for a lengthy diagnosis, so that a difference can be made through a long term positive impact on the life of autistic children. Results of the study can be found in the journal EClinicalMedicine published by The Lancet.
ARIA technology has been applied to assess the risk of stroke and risk of white matter hyperintensities as an early risk factor of dementia. The research team has just received the Outstanding Social Capital Partnership Award and the Social Capital Builder Logo Award from the Community Investment and Inclusion Fund, for their outstanding contributions to the development of social capital for health promotion in the community using ARIA technology.
Details: http://bit.ly/3rKvv3j
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