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Thongborisuth T, Song A, Lobo-Chan AM. Punctate Inner Choroiditis. ADVANCES IN OPHTHALMOLOGY AND OPTOMETRY 2024; 9:345-357. [PMID: 38983943 PMCID: PMC11230654 DOI: 10.1016/j.yaoo.2024.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2024]
Affiliation(s)
- Thitiporn Thongborisuth
- Department of Ophthalmology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL, 60612, USA
| | - Amy Song
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL, 60612, USA
| | - Ann-Marie Lobo-Chan
- Department of Ophthalmology and Visual Sciences, University of Illinois at Chicago, Chicago, IL, 60612, USA
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Liu C, Liu M, Lan X, Zhu J, Zhang Z. 91-month follow-up of solitary punctate chorioretinitis in a Chinese patient. BMC Ophthalmol 2024; 24:297. [PMID: 39030539 PMCID: PMC11264762 DOI: 10.1186/s12886-024-03576-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 07/16/2024] [Indexed: 07/21/2024] Open
Abstract
BACKGROUND Solitary Punctate Chorioretinitis (SPC) is a recently identified form of punctate inner choroidopathy (PIC) characterized by a single lesion in the fovea of the macula. Previous studies with a maximum follow-up of 48 months were insufficient. Our review uncovered a case sustained for 91 months. CASE PRESENTATION A 28-year-old young woman experienced with sudden visual loss in her right eye. Comprehensive examinations, including assessment of best-corrected visual acuity (BCVA), slit-lamp biomicroscopy, noncontact tonometry, fundus fluorescein angiography (FFA), fundus autofluorescence (FAF), optical coherence tomography angiography (OCTA), perimetry, and microperimetry, were conducted. Over 91 months, the lesion slightly enlarged, remained yellow-white and punctate, and stayed in the central macula of the posterior pole. OCT images depicted subsidence in the inner nuclear layer (INL), the outer plexiform layer (OPL), photoreceptor layer, and disruption of the external limiting membrane (ELM), ellipsoid zone, and retinal pigment epithelium (RPE)/Bruch's membrane complex. Retinal herniation, focal choroidal excavation (FCE), and abnormal vessels in the choriocapillaris were noted. At the slab of the choriocapillaris, OCTA demonstrated that the lesion resembled a linear vascular structure, distinct from the structure of normal choriocapillaris. This confirmed the lesion as an abnormal vascular formation. FAF revealed a punctate hypo-autofluorescence lesion and abnormal hyper-autofluorescence near the optic disc and macula. FFA demonstrated a punctate hyper-fluorescent lesion inferotemporal to the fovea. The vascular structure remained stable without fluid exudation on OCT images, hence anti-vascular endothelial growth factor (anti-VEGF) treatment was not administered. Visual acuity improved from counting fingers to 0.07 in 52 days, reached 0.6 after 15 months, remained at 0.6 from 56 to 80 months, and returned to 0.8 after 91 months, although accompanied by local scotomas. The lesion pattern slightly enlarged without scarring. CONCLUSIONS Throughout long-term follow-up, we had long suspected the presence of choroidal neovascularization (CNV) and found the FCE in the last visit. Eventually, we concluded that SPC could potentially constitute a distinct subtype of PIC. The patient received no treatment, and vision recovered to 0.8. If CNV is suspected in SPC, anti-VEGF treatment may not be necessary without activity on OCT, but close monitoring is essential.
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Affiliation(s)
- Chu Liu
- Department of Ophthalmology, Jiangnan University Medical Center, 68 Zhongshan Road, Wuxi, 214002, China
| | - Mengke Liu
- Department of Ophthalmology, Jiangnan University Medical Center, 68 Zhongshan Road, Wuxi, 214002, China
| | - Xinyue Lan
- Department of Ophthalmology, Jiangnan University Medical Center, 68 Zhongshan Road, Wuxi, 214002, China
| | - Junjie Zhu
- Department of Ophthalmology, Wuxi No.2 People's Hospital, Affiliated Wuxi Clinical College of Nantong University, Wuxi, China
| | - Zhengwei Zhang
- Department of Ophthalmology, Jiangnan University Medical Center, 68 Zhongshan Road, Wuxi, 214002, China.
- Department of Ophthalmology, Wuxi No.2 People's Hospital, Affiliated Wuxi Clinical College of Nantong University, Wuxi, China.
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Kalogeropoulos D, Rahman N, Afshar F, Hall N, Lotery AJ. Punctate inner choroidopathy: A review of the current diagnostic and therapeutic approaches. Prog Retin Eye Res 2024; 99:101235. [PMID: 38181975 DOI: 10.1016/j.preteyeres.2023.101235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 12/27/2023] [Accepted: 12/29/2023] [Indexed: 01/07/2024]
Abstract
Punctate inner choroidopathy (PIC) is an uncommon idiopathic inflammatory condition characterized by multifocal chorioretinopathy that primarily affects young adults, with a predilection for myopic females. Clinically, it manifests as small, yellowish-white lesions in the inner choroid and outer retina, often associated with inflammatory changes. Accurate diagnosis remains a challenge due to its resemblance to other posterior uveitic entities, necessitating an astute clinical eye and advanced imaging techniques for differentiation. Multimodal imaging plays a crucial role by offering valuable insights, as it enables the visualization of various abnormalities related to uveitis. The pathogenesis of PIC is still a subject of debate, with a complex interplay of genetic, immunological, and environmental factors proposed. Managing PIC presents multiple challenges for clinicians. Firstly, variable disease severity within and among patients requires diverse treatments, from observation to aggressive immunosuppression and/or anti-VEGF therapy. Secondly, treatment must distinguish between primary causes of vision loss. New or worsening PIC lesions suggest active inflammation, while new neovascular membranes may indicate secondary neovascular processes. Thirdly, deciding on maintenance therapy is complex, balancing PIC prognosis variability against immunosuppression risks. Some patients have long periods of inactivity and remission, while others face sudden, vision-threatening episodes during quiescent phases. Through a systematic review of the literature, this paper sheds light on the current understanding of PIC, its challenges, and the prospects for future research. By synthesizing existing knowledge, it aims to aid clinicians in accurate diagnosis and guide treatment decisions for improved visual outcomes in individuals affected by PIC.
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Affiliation(s)
| | - Najiha Rahman
- Southampton Eye Unit, University Hospital Southampton, Southampton, United Kingdom
| | - Farid Afshar
- Southampton Eye Unit, University Hospital Southampton, Southampton, United Kingdom
| | - Nigel Hall
- Southampton Eye Unit, University Hospital Southampton, Southampton, United Kingdom
| | - Andrew John Lotery
- Southampton Eye Unit, University Hospital Southampton, Southampton, United Kingdom; Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
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Zaslavsky K, Park T, Lang Mcinnis R, Mandell M, Lee J, Lee C, Gilbert R, Derzko-Dzulynsky L. Outcomes in PIC-Related CNV: Pooled Analysis of Individual Participant Data. Ocul Immunol Inflamm 2023; 31:1825-1836. [PMID: 36179037 DOI: 10.1080/09273948.2022.2124176] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 09/06/2022] [Indexed: 10/14/2022]
Abstract
Choroidal neovascularization (CNV) affects 64-75% of eyes with punctate inner choroidopathy (PIC). Although anti-VEGF agents are considered first-line therapy, there is controversy regarding other modalities, such as immunosuppression. We performed a systematic review of individual participant data (IPD) and generated a dataset of 278 eyes with PIC-related CNV from 45 studies. Forty-two percent presented with moderate visual loss (MVL) or worse. Four different treatment modalities (anti-VEGF, photodynamic therapy, local immunosuppression, and systemic immunosuppression) and most combinations among them were represented. Anti-VEGF injections decreased the likelihood of MVL (Odds Ratio 0.3, p = .027), an effect moderated by presenting visual acuity and patient age. Eyes receiving more than 3 injections were more likely to receive additional therapeutic modalities. Increasing number of modalities was associated with longer follow-up time and did not improve vision. The beneficial effect of anti-VEGF injections persisted when controlling for presenting visual acuity and follow-up time.
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Affiliation(s)
- Kirill Zaslavsky
- Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Teresa Park
- Department of Ophthalmology, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Rachel Lang Mcinnis
- Department of Ophthalmology, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Mark Mandell
- Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada
- Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Jihwan Lee
- Department of Ophthalmology, The Institute of Vision Research, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Christopher Lee
- Department of Ophthalmology, The Institute of Vision Research, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Rose Gilbert
- Moorfields Eye Hospital NHS Foundation Trust, London, UK
- National Institute for Health Research Moorfields Biomedical Research Centre, London, UK
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Trust, Cambridge, UK
| | - Larissa Derzko-Dzulynsky
- Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada
- Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
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Invernizzi A, Carreño E, Pichi F, Munk MR, Agarwal A, Zierhut M, Pavesio C. Experts Opinion: OCTA vs. FFA/ICG in Uveitis - Which Will Survive? Ocul Immunol Inflamm 2023; 31:1561-1568. [PMID: 35797139 DOI: 10.1080/09273948.2022.2084421] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 05/26/2022] [Indexed: 10/17/2022]
Abstract
Will optical coherence tomography angiography (OCTA) replace invasive imaging techniques like fundus fluorescein angiography (FFA) and indocyanine green (ICG) angiography entirely? While OCTA is being increasingly applied in the field of medical retina, will we see this change in the subspeciality of uveitis? In this article, five uveitis specialists with renowned imaging expertise answer to 10 specific questions to address this issue. The final verdict based on the comments of the experts suggests that FFA and ICG cannot be replaced by OCTA in uveitis, at least for now. While OCTA can offer new insights into the pathogenesis of certain inflammatory conditions and help in the diagnosis of complications like inflammatory choroidal neovascularisation, multimodal imaging is still the preferred approach in the assessment of patients with uveitis.
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Affiliation(s)
- Alessandro Invernizzi
- Eye Clinic, Department of Biomedical and Clinical Sciences "L. Sacco," Luigi Sacco Hospital, University of Milan, Milan, Italy
- The Discipline of Clinical Ophthalmology and Eye Health, Save Sight Institute, Sydney Eye Hospital, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Ester Carreño
- Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
| | - Francesco Pichi
- Eye Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Marion R Munk
- Department of Ophthalmology, Inselspital, University Hospital Bern, Bern, Switzerland
- Bern Photographic Reading Center, Inselspital, University Hospital Bern, Bern, Switzerland
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Aniruddha Agarwal
- Eye Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates
- Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Manfred Zierhut
- Centre for Ophthalmology, University Tuebingen, Tuebingen, Germany
| | - Carlos Pavesio
- Uveitis Service, Moorfields Eye Hospital NHSFT, London, UK
- NIHR Biomedical Research Centre at Moorfields Eye Hospital NHSFT, UCL Institute of Ophthalmology, London, UK
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Classification of Retinal Diseases in Optical Coherence Tomography Images Using Artificial Intelligence and Firefly Algorithm. Diagnostics (Basel) 2023; 13:diagnostics13030433. [PMID: 36766537 PMCID: PMC9914873 DOI: 10.3390/diagnostics13030433] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 01/20/2023] [Accepted: 01/24/2023] [Indexed: 01/27/2023] Open
Abstract
In recent years, the number of studies for the automatic diagnosis of biomedical diseases has increased. Many of these studies have used Deep Learning, which gives extremely good results but requires a vast amount of data and computing load. If the processor is of insufficient quality, this takes time and places an excessive load on the processor. On the other hand, Machine Learning is faster than Deep Learning and does not have a much-needed computing load, but it does not provide as high an accuracy value as Deep Learning. Therefore, our goal is to develop a hybrid system that provides a high accuracy value, while requiring a smaller computing load and less time to diagnose biomedical diseases such as the retinal diseases we chose for this study. For this purpose, first, retinal layer extraction was conducted through image preprocessing. Then, traditional feature extractors were combined with pre-trained Deep Learning feature extractors. To select the best features, we used the Firefly algorithm. In the end, multiple binary classifications were conducted instead of multiclass classification with Machine Learning classifiers. Two public datasets were used in this study. The first dataset had a mean accuracy of 0.957, and the second dataset had a mean accuracy of 0.954.
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