Cited 0 times in
Age-Related Scattered Hypofluorescent Spots as an Adverse Prognostic Factor for Polypoidal Choroidal Vasculopathy
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김민 | - |
dc.contributor.author | 이승규 | - |
dc.contributor.author | 최은영 | - |
dc.date.accessioned | 2025-06-27T03:19:56Z | - |
dc.date.available | 2025-06-27T03:19:56Z | - |
dc.date.issued | 2025-05 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/206223 | - |
dc.description.abstract | Purpose : Polypoidal choroidal vasculopathy (PCV) demonstrates significant prognostic variability, and the impact of age-related scattered hypofluorescent spots observed in late-phase indocyanine green angiography (ASHS-LIA) on the prognosis of PCV remains under-researched. This study aims to investigate the association between ASHS-LIA in PCV and prognosis using the AdaBoost machine learning model. Design : A cross-sectional study. Participants : The study included patients diagnosed with PCV and treated with anti-VEGF therapy at 2 medical institutions between 2012 and 2021. Methods : We conducted a retrospective analysis of the clinical characteristics, anti-VEGF treatment history, and outcomes of the participants, classifying them based on the presence or absence of ASHS-LIA. An AdaBoost meta-estimator was applied to predict prognosis, including disease stability, injection frequency, and time to first remission, utilizing features selected through principal component analysis. Main Outcome Measures : The prognostic significance of ASHS-LIA was assessed by feature importance, with the mean decrease in impurity serving as the evaluation metric. Results : Of 57 eyes with PCV, 31 exhibited ASHS-LIA and 26 did not. Compared with the non-ASHS-LIA group, the ASHS-LIA group had fewer patients who achieved a super-stable status without recurrence for >18 months postremission (P = 0.03), required a longer time to reach first remission (P = 0.04), and needed more injections (P < 0.001). AdaBoost models confirmed the importance of ASHS-LIA for predicting disease stability, injection demand, and time to first remission, ranking it as the third, seventh, and eighth top contributory factor, respectively. Conclusions : Machine learning analysis identified ASHS-LIA as a negative prognostic factor in PCV, correlating with reduced disease stability, higher recurrence rates, and increased treatment requirements. These findings suggest that ASHS-LIA could serve as a valuable marker for assessing prognosis and guiding treatment strategies in PCV management. Financial Disclosure(s) : The author(s) have no proprietary or commercial interest in any materials discussed in this article. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Elsevier, B.V. | - |
dc.relation.isPartOf | OPHTHALMOLOGY SCIENCE(Ophthalmology Science) | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Age-Related Scattered Hypofluorescent Spots as an Adverse Prognostic Factor for Polypoidal Choroidal Vasculopathy | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Ophthalmology (안과학교실) | - |
dc.contributor.googleauthor | Seo Hee Kim | - |
dc.contributor.googleauthor | Kai Tzu-iunn Ong | - |
dc.contributor.googleauthor | Seonghee Choi | - |
dc.contributor.googleauthor | Eun Jee Chung | - |
dc.contributor.googleauthor | Min Kim | - |
dc.contributor.googleauthor | Christopher Seungkyu Lee | - |
dc.contributor.googleauthor | Jinyoung Yeo | - |
dc.contributor.googleauthor | Eun Young Choi | - |
dc.identifier.doi | 10.1016/j.xops.2025.100818 | - |
dc.contributor.localId | A00455 | - |
dc.contributor.localId | A02913 | - |
dc.contributor.localId | A05056 | - |
dc.relation.journalcode | J04729 | - |
dc.identifier.eissn | 2666-9145 | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S2666914525001162 | - |
dc.subject.keyword | Polypoidal choroidal vasculopathy | - |
dc.subject.keyword | Age-related scattered hypofluorescent spots | - |
dc.subject.keyword | Indocyanine green angiography | - |
dc.subject.keyword | Machine learning | - |
dc.subject.keyword | Principal component analysis | - |
dc.contributor.alternativeName | Kim, Min | - |
dc.contributor.affiliatedAuthor | 김민 | - |
dc.contributor.affiliatedAuthor | 이승규 | - |
dc.contributor.affiliatedAuthor | 최은영 | - |
dc.citation.volume | 5 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 100818 | - |
dc.identifier.bibliographicCitation | OPHTHALMOLOGY SCIENCE, Vol.5(5) : 100818, 2025-05 | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.