{"title":"Macular pigment optical density and measurement technology based on artificial intelligence: a narrative review.","authors":"Yu-Xuan Yuan, Hong-Yun Wu, Wen-Jin Yuan, Yi-Lin Zhong, Zhe Xu","doi":"10.18240/ijo.2025.06.23","DOIUrl":null,"url":null,"abstract":"<p><p>Macular pigment (MP) is a crucial pigment in the macular region. It plays an important role in filtering blue light, and exhibits anti-inflammatory and antioxidant properties. Macular pigment optical density (MPOD) is a key indicator for assessing the density of MP in the macular area and is closely associated with eye diseases, including age-related macular degeneration, diabetic retinopathy, and glaucoma. This review aims to explore the clinical significance of MPOD and its research value in ophthalmology and other medical fields. It summarizes the current MPOD measurement techniques, categorizing them into two main types (<i>in vivo</i> and <i>in vitro</i>), and discusses their respective advantages and limitations. Additionally, given the advancements in artificial intelligence (AI) and deep-learning technologies that offer new opportunities for improving MPOD assessment, this review analyzes the significant potential and future prospects of AI-based fundus image analysis in MPOD measurement. The goal of AI-based analysis is to provide faster and more accurate detection methods, thereby promoting further research and new clinical applications of MPOD in the field of ophthalmology.</p>","PeriodicalId":14312,"journal":{"name":"International journal of ophthalmology","volume":"18 6","pages":"1152-1162"},"PeriodicalIF":1.9000,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12120468/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of ophthalmology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.18240/ijo.2025.06.23","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"OPHTHALMOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Macular pigment (MP) is a crucial pigment in the macular region. It plays an important role in filtering blue light, and exhibits anti-inflammatory and antioxidant properties. Macular pigment optical density (MPOD) is a key indicator for assessing the density of MP in the macular area and is closely associated with eye diseases, including age-related macular degeneration, diabetic retinopathy, and glaucoma. This review aims to explore the clinical significance of MPOD and its research value in ophthalmology and other medical fields. It summarizes the current MPOD measurement techniques, categorizing them into two main types (in vivo and in vitro), and discusses their respective advantages and limitations. Additionally, given the advancements in artificial intelligence (AI) and deep-learning technologies that offer new opportunities for improving MPOD assessment, this review analyzes the significant potential and future prospects of AI-based fundus image analysis in MPOD measurement. The goal of AI-based analysis is to provide faster and more accurate detection methods, thereby promoting further research and new clinical applications of MPOD in the field of ophthalmology.
期刊介绍：
· International Journal of Ophthalmology-IJO (English edition) is a global ophthalmological scientific publication
and a peer-reviewed open access periodical (ISSN 2222-3959 print, ISSN 2227-4898 online).
This journal is sponsored by Chinese Medical Association Xi’an Branch and obtains guidance and support from
WHO and ICO (International Council of Ophthalmology). It has been indexed in SCIE, PubMed,
PubMed-Central, Chemical Abstracts, Scopus, EMBASE , and DOAJ. IJO JCR IF in 2017 is 1.166.
IJO was established in 2008, with editorial office in Xi’an, China. It is a monthly publication. General Scientific
Advisors include Prof. Hugh Taylor (President of ICO); Prof.Bruce Spivey (Immediate Past President of ICO);
Prof.Mark Tso (Ex-Vice President of ICO) and Prof.Daiming Fan (Academician and Vice President,
Chinese Academy of Engineering.
International Scientific Advisors include Prof. Serge Resnikoff (WHO Senior Speciatist for Prevention of
blindness), Prof. Chi-Chao Chan (National Eye Institute, USA) and Prof. Richard L Abbott (Ex-President of
AAO/PAAO) et al.
Honorary Editors-in-Chief: Prof. Li-Xin Xie(Academician of Chinese Academy of
Engineering/Honorary President of Chinese Ophthalmological Society); Prof. Dennis Lam (President of APAO) and
Prof. Xiao-Xin Li (Ex-President of Chinese Ophthalmological Society).
Chief Editor: Prof. Xiu-Wen Hu (President of IJO Press).
Editors-in-Chief: Prof. Yan-Nian Hui (Ex-Director, Eye Institute of Chinese PLA) and
Prof. George Chiou (Founding chief editor of Journal of Ocular Pharmacology & Therapeutics).
Associate Editors-in-Chief include:
Prof. Ning-Li Wang (President Elect of APAO);
Prof. Ke Yao (President of Chinese Ophthalmological Society) ;
Prof.William Smiddy (Bascom Palmer Eye instituteUSA) ;
Prof.Joel Schuman (President of Association of University Professors of Ophthalmology,USA);
Prof.Yizhi Liu (Vice President of Chinese Ophtlalmology Society);
Prof.Yu-Sheng Wang (Director of Eye Institute of Chinese PLA);
Prof.Ling-Yun Cheng (Director of Ocular Pharmacology, Shiley Eye Center, USA).
IJO accepts contributions in English from all over the world. It includes mainly original articles and review articles,
both basic and clinical papers.
Instruction is Welcome Contribution is Welcome Citation is Welcome
Cooperation organization
International Council of Ophthalmology(ICO), PubMed, PMC, American Academy of Ophthalmology, Asia-Pacific, Thomson Reuters, The Charlesworth Group, Crossref,Scopus,Publons, DOAJ etc.
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