Age related grid-wise spatial analysis of choroidal parameters in well characterised healthy population

Choroidal vascularity index (CVI) is an image-based metric applied to assess the choroid in disease but poorly explored in natural aging. In this retrospective cohort study, we assessed a single eye of 309 healthy individuals from 20 to 70 + years, and quantified spatial topography of total choroidal area (TCA), luminal area (LA), stromal area (SA) and CVI (LA: TCA) in cluster and standard retinal templates using a semi-automated approach. CVI was found to be greatest in the central vs. periphery (CVI<sub>central</sub> 67.08% [66.85-67.73] vs. CVI<sub>periphery</sub>65.68% [65.32-66.01], p < 0.01). In this study, CVI also showed no significant change with age or physiological factors. Area parameters demonstrated greater magnitude in the central versus periphery but with a superior bias: TCA<sub>superior</sub> 0.227mm<sup>2</sup> [0.223-0.233] vs. TCA<sub>inferior</sub> 0.207mm<sup>2</sup> [0.201-0.213], p < 0.01.They also showed a linear decline with age (TCA:-0.00112 to -0.00169 mm<sup>2</sup>/year; LA: -0.00074 to -0.00112 mm<sup>2</sup>/year; SA: -0.00039 to -0.00056 mm<sup>2</sup>/year, p < 0.0001), with a higher rate of decline inferiorly (p < 0.001). This study demonstrates that CVI exhibits specific spatial differences across macula, independent of age. It further establishes a comprehensive, normative database of CVI and other choroidal angioarchitecture metrics which is a valuable resource for distinguishing pathological changes from normal age-related variations in future assessments of choroid-involving diseases.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-11-04
DOI
https://doi.org/10.1038/s41598-024-76844-6
Citations
2
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Age related grid-wise spatial analysis of choroidal parameters in well characterised healthy population

Lisa Nivison‐Smith, Meenakshi Kumar, Matt Trinh, Xin Wei et al.
2 citations
Scientific Reports
Retinal Imaging and Analysis
0.81
article

Age related grid-wise spatial analysis of choroidal parameters in well characterised healthy population

Lisa Nivison‐Smith, Meenakshi Kumar, Matt Trinh, Xin Wei, Rupesh Agrawal, Angela Zhang
article en
2 citations

Abstract

Choroidal vascularity index (CVI) is an image-based metric applied to assess the choroid in disease but poorly explored in natural aging. In this retrospective cohort study, we assessed a single eye of 309 healthy individuals from 20 to 70 + years, and quantified spatial topography of total choroidal area (TCA), luminal area (LA), stromal area (SA) and CVI (LA: TCA) in cluster and standard retinal templates using a semi-automated approach. CVI was found to be greatest in the central vs. periphery (CVI<sub>central</sub> 67.08% [66.85-67.73] vs. CVI<sub>periphery</sub>65.68% [65.32-66.01], p < 0.01). In this study, CVI also showed no significant change with age or physiological factors. Area parameters demonstrated greater magnitude in the central versus periphery but with a superior bias: TCA<sub>superior</sub> 0.227mm<sup>2</sup> [0.223-0.233] vs. TCA<sub>inferior</sub> 0.207mm<sup>2</sup> [0.201-0.213], p < 0.01.They also showed a linear decline with age (TCA:-0.00112 to -0.00169 mm<sup>2</sup>/year; LA: -0.00074 to -0.00112 mm<sup>2</sup>/year; SA: -0.00039 to -0.00056 mm<sup>2</sup>/year, p < 0.0001), with a higher rate of decline inferiorly (p < 0.001). This study demonstrates that CVI exhibits specific spatial differences across macula, independent of age. It further establishes a comprehensive, normative database of CVI and other choroidal angioarchitecture metrics which is a valuable resource for distinguishing pathological changes from normal age-related variations in future assessments of choroid-involving diseases.

Scientific ReportsVol. 14(1)
Nanyang Technological University (SG), Singapore National Eye Center (SG), Tan Tock Seng Hospital (SG), UNSW Sydney (AU), Singapore Eye Research Institute (SG), Duke-NUS Medical School (SG)
Nanomaterials Microdevices Research Center, Osaka Institute of Technology, University of New South Wales, Medical Research Council, National Health and Medical Research Council, National Medical Research Council
Openalex Percentile: Top 25%
Retinal Imaging and Analysis
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.