{"title":"Fundus blood flow density changes in the smoking population by artificial intelligence-based optical coherence tomography angiography.","authors":"Ling-Yu Zhang, Qing-Jian Li, Qiang Zhou, Yu Zhang, Yan Liu, Zhi-Liang Wang, Pei Zhang","doi":"10.18240/ijo.2025.09.01","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>To determine whether chronic smoking affects fundus blood flow density using optical coherence tomography angiography (OCTA) based on artificial intelligence (AI).</p><p><strong>Methods: </strong>All participants underwent a comprehensive ophthalmological examination in this study. The subjects were categorized into two groups: control and smoker. Fundus data obtained through the novel OCTA device were compared.</p><p><strong>Results: </strong>Utilizing deep learning denoising techniques removed background noise and smoothed vessel surfaces. OCTA showed a significant decrease in fundus blood flow density after AI-based denoising on the right eyes of 36 smokers (36 males, average age 44.17±9.85y) and age- and sex-matched participants who never smoked. The thickness of the retina in both control and smoker groups failed to show any statistically significant differences. Smoking was associated with decreased blood flow density in the macula and the optic disk.</p><p><strong>Conclusion: </strong>Utilizing AI-based denoising to improve the sensitivity of OCTA images can be highly beneficial.</p>","PeriodicalId":14312,"journal":{"name":"International journal of ophthalmology","volume":"18 9","pages":"1613-1618"},"PeriodicalIF":1.8000,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12378676/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of ophthalmology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.18240/ijo.2025.09.01","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
Aim: To determine whether chronic smoking affects fundus blood flow density using optical coherence tomography angiography (OCTA) based on artificial intelligence (AI).
Methods: All participants underwent a comprehensive ophthalmological examination in this study. The subjects were categorized into two groups: control and smoker. Fundus data obtained through the novel OCTA device were compared.
Results: Utilizing deep learning denoising techniques removed background noise and smoothed vessel surfaces. OCTA showed a significant decrease in fundus blood flow density after AI-based denoising on the right eyes of 36 smokers (36 males, average age 44.17±9.85y) and age- and sex-matched participants who never smoked. The thickness of the retina in both control and smoker groups failed to show any statistically significant differences. Smoking was associated with decreased blood flow density in the macula and the optic disk.
Conclusion: Utilizing AI-based denoising to improve the sensitivity of OCTA images can be highly beneficial.
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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