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Haj Najeeb B, Gerendas BS, Deak GG, Leingang O, Bogunovic H, Schmidt-Erfurth U. An Automated Comparative Analysis of the Exudative Biomarkers in Neovascular Age-Related Macular Degeneration, The RAP Study: Report 6. Am J Ophthalmol 2024; 264:53-65. [PMID: 38428557 DOI: 10.1016/j.ajo.2024.02.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 02/10/2024] [Accepted: 02/13/2024] [Indexed: 03/03/2024]
Abstract
PURPOSE To investigate differences in volume and distribution of the main exudative biomarkers across all types and subtypes of macular neovascularization (MNV) using artificial intelligence (AI). DESIGN Cross-sectional study. METHODS An AI-based analysis was conducted on 34,528 OCT B-scans consisting of 281 (250 unifocal, 31 multifocal) MNV3, 55 MNV2, and 121 (30 polypoidal, 91 non-polypoidal) MNV1 treatment-naive eyes. Means (SDs), medians and heat maps of cystic intraretinal fluid (IRF), subretinal fluid (SRF), pigment epithelial detachments (PED), and hyperreflective foci (HRF) volumes, as well as retinal thickness (RT) were compared among MNV types and subtypes. RESULTS MNV3 had the highest mean IRF with 291 (290) nL, RT with 357 (49) µm, and HRF with 80 (70) nL, P ≤ .05. MNV1 showed the greatest mean SRF with 492 (586) nL, whereas MNV3 exhibited the lowest with 218 (382) nL, P ≤ .05. Heat maps showed IRF confined to the center, whereas SRF was scattered in all types. SRF, HRF, and PED were more distributed in the temporal macular half in MNV3. Means of IRF, HRF, and PED were higher in the multifocal than in the unifocal MNV3 with 416 (309) nL,114 (95) nL, and 810 (850) nL, P ≤ .05. Compared to the non-polypoidal subtype, the polypoidal subtype had greater means of SRF with 695 (718) nL, HRF 69 (63) nL, RT 357 (45) µm, and PED 1115 (1170) nL, P ≤ .05. CONCLUSIONS This novel quantitative AI analysis shows that SRF is a biomarker of choroidal origin in MNV1, whereas IRF, HRF, and RT are retinal biomarkers in MNV3. Polypoidal MNV1 and multifocal MNV3 present with higher exudation compared to other subtypes.
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Affiliation(s)
- Bilal Haj Najeeb
- From the Vienna reading Center and Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria.
| | - Bianca S Gerendas
- From the Vienna reading Center and Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria
| | - Gabor G Deak
- From the Vienna reading Center and Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria
| | - Oliver Leingang
- From the Vienna reading Center and Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria
| | - Hrvoje Bogunovic
- From the Vienna reading Center and Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria
| | - Ursula Schmidt-Erfurth
- From the Vienna reading Center and Laboratory for Ophthalmic Image Analysis, Department of Ophthalmology, Medical University of Vienna, Vienna, Austria
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Roy R, Chattree S, Kala U, Majumdar B, Desai J, Bhattacharya S, Sen A, Goel S, Thomas NR, Chowdhury M, Das K, Nigam E, Das D, Saurabh K. Multicolor imaging: Current clinical applications. Surv Ophthalmol 2024; 69:378-402. [PMID: 38122907 DOI: 10.1016/j.survophthal.2023.11.011] [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: 09/09/2023] [Revised: 11/24/2023] [Accepted: 11/27/2023] [Indexed: 12/23/2023]
Abstract
Multicolor (MC) imaging is an innovative pseudocolor fundus imaging modality based on confocal scanning laser ophthalmoscopy. It effectively scans the retina at different depths to create a composite image. The green reflectance image depicts the middle retinal while blue reflectance image provides images of the retinal surface. The infrared reflectance image depicts retinal structures at the level of outer retina and choroid. We systematically analyze published case reports, case series, and original articles on MC imaging where it has helped in discovering additional clinical features of retinal diseases not readily apparent on conventional color fundus photography and played a role in monitoring the response to treatment.
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Affiliation(s)
- Rupak Roy
- Department of Vitreo Retina, Aditya Birla Sankara Nethralaya, 147, Mukundapur, E.M.Bypass, Kolkata 700099, West Bengal, India.
| | - Surabhi Chattree
- Department of Vitreo Retina, Aditya Birla Sankara Nethralaya, 147, Mukundapur, E.M.Bypass, Kolkata 700099, West Bengal, India
| | - Urvashi Kala
- Department of Vitreo Retina, Aditya Birla Sankara Nethralaya, 147, Mukundapur, E.M.Bypass, Kolkata 700099, West Bengal, India
| | - Bristi Majumdar
- Department of Vitreo Retina, Aditya Birla Sankara Nethralaya, 147, Mukundapur, E.M.Bypass, Kolkata 700099, West Bengal, India
| | - Janhavi Desai
- Department of Vitreo Retina, Aditya Birla Sankara Nethralaya, 147, Mukundapur, E.M.Bypass, Kolkata 700099, West Bengal, India
| | - Sampurna Bhattacharya
- Department of Vitreo Retina, Aditya Birla Sankara Nethralaya, 147, Mukundapur, E.M.Bypass, Kolkata 700099, West Bengal, India
| | - Ahana Sen
- Department of Vitreo Retina, Aditya Birla Sankara Nethralaya, 147, Mukundapur, E.M.Bypass, Kolkata 700099, West Bengal, India
| | | | | | - Maitreyi Chowdhury
- Department of Vitreo Retina, Aditya Birla Sankara Nethralaya, 147, Mukundapur, E.M.Bypass, Kolkata 700099, West Bengal, India
| | - Kalpita Das
- Department of Vitreo Retina, Aditya Birla Sankara Nethralaya, 147, Mukundapur, E.M.Bypass, Kolkata 700099, West Bengal, India
| | - Eesh Nigam
- Department of Vitreo Retina, Aditya Birla Sankara Nethralaya, 147, Mukundapur, E.M.Bypass, Kolkata 700099, West Bengal, India
| | - Debmalya Das
- Department of Vitreo Retina, Aditya Birla Sankara Nethralaya, 147, Mukundapur, E.M.Bypass, Kolkata 700099, West Bengal, India
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Ruamviboonsuk P, Lai TYY, Chen SJ, Yanagi Y, Wong TY, Chen Y, Gemmy Cheung CM, Teo KYC, Sadda S, Gomi F, Chaikitmongkol V, Chang A, Lee WK, Kokame G, Koh A, Guymer R, Lai CC, Kim JE, Ogura Y, Chainakul M, Arjkongharn N, Hong Chan H, Lam DSC. Polypoidal Choroidal Vasculopathy: Updates on Risk Factors, Diagnosis, and Treatments. Asia Pac J Ophthalmol (Phila) 2023; 12:184-195. [PMID: 36728294 DOI: 10.1097/apo.0000000000000573] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 09/09/2022] [Indexed: 02/03/2023] Open
Abstract
There have been recent advances in basic research and clinical studies in polypoidal choroidal vasculopathy (PCV). A recent, large-scale, population-based study found systemic factors, such as male gender and smoking, were associated with PCV, and a recent systematic review reported plasma C-reactive protein, a systemic biomarker, was associated with PCV. Growing evidence points to an association between pachydrusen, recently proposed extracellular deposits associated with the thick choroid, and the risk of development of PCV. Many recent studies on diagnosis of PCV have focused on applying criteria from noninvasive multimodal retinal imaging without requirement of indocyanine green angiography. There have been attempts to develop deep learning models, a recent subset of artificial intelligence, for detecting PCV from different types of retinal imaging modality. Some of these deep learning models were found to have high performance when they were trained and tested on color retinal images with corresponding images from optical coherence tomography. The treatment of PCV is either a combination therapy using verteporfin photodynamic therapy and anti-vascular endothelial growth factor (VEGF), or anti-VEGF monotherapy, often used with a treat-and-extend regimen. New anti-VEGF agents may provide more durable treatment with similar efficacy, compared with existing anti-VEGF agents. It is not known if they can induce greater closure of polypoidal lesions, in which case, combination therapy may still be a mainstay. Recent evidence supports long-term follow-up of patients with PCV after treatment for early detection of recurrence, particularly in patients with incomplete closure of polypoidal lesions.
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Affiliation(s)
| | - Timothy Y Y Lai
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Shih-Jen Chen
- Department of Ophthalmology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yasuo Yanagi
- Department of Ophthalmology and Microtechnology, Yokohama City University, Yokohama, Japan
| | - Tien Yin Wong
- Singapore National Eye Centre, Singapore, Singapore
- Duke-NUS Medical School, National University of Singapore, Singapore
- School of Medicine, Tsinghua University, Beijing, China
| | - Youxin Chen
- Department of Ophthalmology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Chui Ming Gemmy Cheung
- Singapore National Eye Centre, Singapore, Singapore
- Duke-NUS Medical School, National University of Singapore, Singapore
| | - Kelvin Y C Teo
- Singapore National Eye Centre, Singapore, Singapore
- Duke-NUS Medical School, National University of Singapore, Singapore
- Singapore Eye Research Institute, Singapore, Singapore
| | - Srinivas Sadda
- Doheny Eye Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
| | - Fumi Gomi
- Department of Ophthalmology, Hyogo Medical University, Hyogo, Japan
| | - Voraporn Chaikitmongkol
- Retina Division, Department of Ophthalmology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Andrew Chang
- Sydney Retina Clinic, Sydney Eye Hospital, University of Sydney, Sydney, NSW, Australia
| | | | - Gregg Kokame
- Division of Ophthalmology, Department of Surgery, University of Hawaii School of Medicine, Honolulu, HI
| | - Adrian Koh
- Eye & Retina Surgeons, Camden Medical Centre, Singapore, Singapore
| | - Robyn Guymer
- Centre for Eye Research Australia, University of Melbourne, The Royal Victorian Eye and Ear Hospital, Melbourne, Australia
| | - Chi-Chun Lai
- Department of Ophthalmology, Chang Gung Memorial Hospital, Keelung, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Judy E Kim
- Department of Ophthalmology and Visual Sciences, Medical College of Wisconsin, Milwaukee, WI
| | - Yuichiro Ogura
- Graduate School of Medical Sciences, Nagoya City University, Nagoya, Japan
| | | | | | | | - Dennis S C Lam
- The C-MER International Eye Research Center of The Chinese University of Hong Kong (Shenzhen), Shenzhen, China
- The C-MER Dennis Lam & Partners Eye Center, C-MER International Eye Care Group, Hong Kong, China
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4
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Rispoli M, Cennamo G, Antonio LD, Lupidi M, Parravano M, Pellegrini M, Veritti D, Vujosevic S, Savastano MC. Practical guidance for imaging biomarkers in exudative age-related macular degeneration. Surv Ophthalmol 2023:S0039-6257(23)00039-5. [PMID: 36854371 DOI: 10.1016/j.survophthal.2023.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 02/17/2023] [Accepted: 02/21/2023] [Indexed: 02/27/2023]
Abstract
We provide an overview of current macular imaging techniques and identify and describe biomarkers that may be of use in the routine management of macular diseases, particularly exudative age-related macular degeneration (n-AMD). This perspective includes sections on macular imaging techniques including optical coherence tomography (OCT) and OCT angiography (OCTA), classification of exudative AMD, and biomarkers in structural OCT and OCTA. Fluorescein angiography remains a vital tool for assessing the activity of neovascular lesion, while indocyanine green angiography is the preferred option for choroidal vessels imaging in neovascular AMD. OCT provides a non-invasive three-dimensional visualization of retinal architecture in vivo and is useful in the diagnosis of many imaging biomarkers of AMD-related neovascular lesions including lesion activity. OCTA is a recent advance in OCT technology that allows accurate visualization of retinal and choroidal vascular flow. OCT and OCTA have led to an updated classification of exudative AMD lesions and provide several biomarkers that help to establish a diagnosis and the disease activity status of neovascular lesions. Individualization of therapy guided by OCT and OCTA biomarkers has the potential to further improve visual outcomes in exudative AMD. Moving forwards, integration of technologically advanced imaging equipment with AI software will help ophthalmologists to provide patients with the best possible care.
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Affiliation(s)
| | - Gilda Cennamo
- Eye Clinic, Department of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University; Public Health Department, University of Naples Federico II, Naples, Italy
| | - Luca Di Antonio
- UOC Ophthalmology and Surgery Department, ASL-1 Avezzano-Sulmona, L'Aquila, Italy
| | - Marco Lupidi
- Eye Clinic, Department of Experimental and Clinical Medicine, Polytechnic University of Marche, Ancona, Italy.
| | | | - Marco Pellegrini
- Department of Biomedical and Clinical Science "Luigi Sacco", Eye Clinic, Luigi Sacco Hospital, University of Milan, Milan, Italy
| | - Daniele Veritti
- Department of Medicine-Ophthalmology, University of Udine, Italy
| | - Stela Vujosevic
- University Eye Clinic, IRCCS Multimedica, Milan, Italy; Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
| | - Maria Cristina Savastano
- Ophthalmology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy; Catholic University "Sacro Cuore", Rome, Italy
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