Advances in wide-field fundus imaging for pachychoroid disease

Pachychoroid disease (PCD) represents a group of disorders characterized by pathological choroidal thickening. The characteristic changes include dilated choroidal vessels in Haller's layer, thinning of the choriocapillaris and Sattler's layer, and retinal pigment epithelium (RPE) abnormal...

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Main Authors: HE Guiqin, WEN Feng
Format: Article
Language:zho
Published: Zhongshan Ophthalmic Center, Sun Yat-sen University 2025-02-01
Series:Yanke Xuebao
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Online Access:https://journal.gzzoc.com/Ykxb/Journal/ArticleShow.aspx?AID=5110
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author HE Guiqin
WEN Feng
author_facet HE Guiqin
WEN Feng
author_sort HE Guiqin
collection DOAJ
description Pachychoroid disease (PCD) represents a group of disorders characterized by pathological choroidal thickening. The characteristic changes include dilated choroidal vessels in Haller's layer, thinning of the choriocapillaris and Sattler's layer, and retinal pigment epithelium (RPE) abnormalities overlying the pachyvessels. The PCD primarily encompasses uncomplicated pachychoroid (UCP), pachychoroid pigment epitheliopathy (PPE), central serous chorioretinopathy(CSC), pachychoroid neovasculopathy (PNV), and polypoidal choroidal vasculopathy (PCV). Traditional fundus examination is limited to the posterior pole in single-frame imaging, making it challenging to comprehensively evaluate the extent of lesions. Wide-field imaging technology has overcome this limitation, with its imaging range covering from the posterior pole to the ampulla of vortex veins at the equator (approximately 60-100°), while ultra-wide-field imaging can extend from the posterior pole to the pars plana (approximately 110-220°). This technological advancement has not only expanded the observation range of PCD fundus lesions but also enhanced the assessment capabilities of choroidal structure and function, providing new perspectives for investigating PCD pathogenesis. In recent years, deep learning-based artificial intelligence technology has achieved significant breakthroughs in PCD-assisted diagnosis, demonstrating excellent capability in identifying and classifying PCD-related diseases. This has contributed to significantly improving diagnostic efficiency in primary healthcare institutions and optimizing medical resource allocation. This review summarizes the advances in wide-field fundus imaging technologies for the assessment and diagnosis of PCD.
format Article
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institution Kabale University
issn 1000-4432
language zho
publishDate 2025-02-01
publisher Zhongshan Ophthalmic Center, Sun Yat-sen University
record_format Article
series Yanke Xuebao
spelling doaj-art-e23652324fda43df9c58ac45a99523fc2025-08-25T06:00:16ZzhoZhongshan Ophthalmic Center, Sun Yat-sen UniversityYanke Xuebao1000-44322025-02-0140217918810.12419/24103101Advances in wide-field fundus imaging for pachychoroid diseaseHE Guiqin0WEN Feng1State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou 510060, ChinaState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou 510060, ChinaPachychoroid disease (PCD) represents a group of disorders characterized by pathological choroidal thickening. The characteristic changes include dilated choroidal vessels in Haller's layer, thinning of the choriocapillaris and Sattler's layer, and retinal pigment epithelium (RPE) abnormalities overlying the pachyvessels. The PCD primarily encompasses uncomplicated pachychoroid (UCP), pachychoroid pigment epitheliopathy (PPE), central serous chorioretinopathy(CSC), pachychoroid neovasculopathy (PNV), and polypoidal choroidal vasculopathy (PCV). Traditional fundus examination is limited to the posterior pole in single-frame imaging, making it challenging to comprehensively evaluate the extent of lesions. Wide-field imaging technology has overcome this limitation, with its imaging range covering from the posterior pole to the ampulla of vortex veins at the equator (approximately 60-100°), while ultra-wide-field imaging can extend from the posterior pole to the pars plana (approximately 110-220°). This technological advancement has not only expanded the observation range of PCD fundus lesions but also enhanced the assessment capabilities of choroidal structure and function, providing new perspectives for investigating PCD pathogenesis. In recent years, deep learning-based artificial intelligence technology has achieved significant breakthroughs in PCD-assisted diagnosis, demonstrating excellent capability in identifying and classifying PCD-related diseases. This has contributed to significantly improving diagnostic efficiency in primary healthcare institutions and optimizing medical resource allocation. This review summarizes the advances in wide-field fundus imaging technologies for the assessment and diagnosis of PCD.https://journal.gzzoc.com/Ykxb/Journal/ArticleShow.aspx?AID=5110pachychoroid diseasecentral serous chorioretinopathywide-field fundus imagingmultimodal imagingartificial intelligence
spellingShingle HE Guiqin
WEN Feng
Advances in wide-field fundus imaging for pachychoroid disease
Yanke Xuebao
pachychoroid disease
central serous chorioretinopathy
wide-field fundus imaging
multimodal imaging
artificial intelligence
title Advances in wide-field fundus imaging for pachychoroid disease
title_full Advances in wide-field fundus imaging for pachychoroid disease
title_fullStr Advances in wide-field fundus imaging for pachychoroid disease
title_full_unstemmed Advances in wide-field fundus imaging for pachychoroid disease
title_short Advances in wide-field fundus imaging for pachychoroid disease
title_sort advances in wide field fundus imaging for pachychoroid disease
topic pachychoroid disease
central serous chorioretinopathy
wide-field fundus imaging
multimodal imaging
artificial intelligence
url https://journal.gzzoc.com/Ykxb/Journal/ArticleShow.aspx?AID=5110
work_keys_str_mv AT heguiqin advancesinwidefieldfundusimagingforpachychoroiddisease
AT wenfeng advancesinwidefieldfundusimagingforpachychoroiddisease