Evidence map›Paper›PMID 40778359›Full record

ArticleOphthalmology science

Assessment of Choriocapillaris in Healthy and Diseased Eyes Using 3-Dimensional Topographic Maps Based on OCT Angiography.

Xindi Liu, Liang Yao, Huaying Hao, Jiayi Wu, Kai Jin, Qi Gao, Xuan Wang, Dingying Liao, Nianjia Wang, Xintong Xiang and 3 more

Abstract read
In one paragraph

Article in Ophthalmology science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Xindi LiuZhejiang University, Eye Center of Second Affiliated Hospital, School of Medicine, Hangzhou, China.
Liang YaoDepartment of Ophthalmology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Huaying HaoCixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China.
Jiayi WuDepartment of Ophthalmology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Kai JinZhejiang University, Eye Center of Second Affiliated Hospital, School of Medicine, Hangzhou, China.
Qi GaoZhejiang University, Eye Center of Second Affiliated Hospital, School of Medicine, Hangzhou, China.
Xuan WangDepartment of Internal Medicine, Sound Physicians, Stockton, California.
Dingying LiaoDepartment of Ophthalmology, Shenzhen Hospital, Peking University, Shenzhen, China.
Nianjia WangDepartment of Ophthalmology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Xintong XiangDepartment of Ophthalmology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Menglu ChenZhejiang University, Eye Center of Second Affiliated Hospital, School of Medicine, Hangzhou, China.
Yitian ZhaoCixi Institute of Biomedical Engineering, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China.
Juan YeZhejiang University, Eye Center of Second Affiliated Hospital, School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To achieve clear in vivo imaging and systematic quantification of choriocapillaris (CC), enabling the exploration of age-related and disease-related changes of CC within a large sample size. Design: Cross-sectional study. Participants: A total of 1050 eyes from 727 individuals, comprising 633 healthy eyes, 277 eyes with age-related macular degeneration (AMD), and 140 eyes with high myopia. Methods: The 3-dimensional (3D) topographic maps of CC were obtained by performing image enhancement, depth reconstruction, and 3D rendering on a single OCT angiography enface image. Based on this map, we targeted key quantitative parameters to analyze vessel thickness, vascular complexity, vascular distribution uniformity, and blood perfusion of CC. We statistically analyzed the correlation between CC metrics and age in healthy population, as well as differences in CC metrics between healthy and diseased populations. To further explore the association between changes in CC and choroidal large vessels, we defined a parameter called "arterial zone (AZ) to venous zone (VZ) ratio" to assess the choroidal large-vessel perfusion. Main Outcome Measures: The 3D topographic map of CC, 8 parameters of CC, and AZ/VZ. Results: The 3D topographic map effectively displayed the morphology of CC while maintaining high image accuracy. Statistical analysis revealed that with aging, the vessel thickness of CC in healthy eyes became thicker, and there was a decrease in vascular complexity, distribution uniformity, and perfusion. Additionally, AZ/VZ exhibited a trend of initial decline followed by an increase. In eyes with increasing severity of AMD, the vessel thickness of CC showed bidirectional changes followed by significant thickening. Complexity and distribution uniformity initially increased, followed by a marked decrease, whereas blood perfusion decreased initially before increasing. However, no significant intergroup differences in AZ/VZ were observed. In highly myopic eyes, compared to healthy eyes, the CC exhibited vessel thickening, reduced complexity and distribution uniformity, decreased perfusion, and a significant reduction in AZ/VZ. Conclusions: This study explores age-related and disease-related CC changes via clear in vivo imaging and quantification. It aids understanding of CC states and may contribute to early disease diagnosis and prognosis. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Indexed as

AMDChoriocapillarisHigh myopiaOCT angiographySystematic quantification

Identifiers

PMID40778359
PMCPMC12329102

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.