Evidence map›Paper›PMID 39217371›Full record

ArticleEye and vision (London, England)2024

Quantitative analysis of peripapillary capillary volume using dense B-scan OCT angiography in normal and diabetic retina.

Lingyan Zeng, Xin Liu, Shuyu Chen, Jin Ma

Abstract read
In one paragraph

Article in Eye and vision (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Lingyan ZengState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, 7# Jinsui Road, Guangzhou, 510000, China.
Xin LiuState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, 7# Jinsui Road, Guangzhou, 510000, China.
Shuyu ChenState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, 7# Jinsui Road, Guangzhou, 510000, China.
Jin MaState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, 7# Jinsui Road, Guangzhou, 510000, China. zoc_majin@aliyun.com.

Funding

National Key R&D Program of China 2023YFC2506100Natural Science Foundation of Guangdong Province 2023A1515012470
6 · The paper itself

Abstract

backgroundThe value of quantitatively analyzing peripapillary capillary volume (PPCV) distribution was explored in normal and diabetic retinopathy (DR) eyes using dense B-scan optical coherence tomography angiography (DB OCTA).

methodsThis was a cross-sectional observational study followed by prospective follow-up for those with DR, which enrolled 101 healthy subjects and 140 DR patients. Dense, automatic, real-time (DART) volume scans of DB OCTA were performed using a Spectralis HRA + OCT2. ImageJ and MATLAB were used to process and calculate PPCV distribution detected by DB OCTA.

resultsIn normal subjects, PPCV distribution were significantly correlated with the age and quadrant location (all P < 0.001). The PPCV distribution in each quadrant was significantly lower in severe nonproliferative DR patients than in normal subjects in all age groups (all P < 0.05, t-test). Compared to normal subjects, the PPCV distribution improved significantly in the pan-retinal photocoagulation treatment and surgery groups (all P < 0.001). No significant variation was observed in the anti-VEGF treatment group and normal subjects (P > 0.05). The PPCV distribution is significantly correlated with post-treatment best-corrected visual acuity in both the pan-retinal photocoagulation treatment and surgery groups (all P < 0.003) but not in the anti-VEGF treatment group (P = 0.940).

conclusionsQuantitative assessment of PPCV distribution using DB OCTA is valuable in prognosis evaluation of DR with pan-retinal photocoagulation and surgery.

Indexed as

Dense B-scan optical coherence tomography angiographyDiabetic retinopathyPeripapillary capillary volume

Identifiers

PMID39217371
PMCPMC11366152

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