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10. List of contributors

Author

Mirshahi, Reza, primary, Fallon, Julia, additional, Acar, Burak, additional, Acharya, Isha, additional, Agarwal, Aniruddha, additional, Agrawal, Kushal, additional, Ahsanuddin, Sofia, additional, Alforja, Socorro, additional, Aljneibi, Shaikha, additional, Arévalo, J. Fernando, additional, Ayachit, Apoorva, additional, Ayachit, Guruprasad, additional, Baek, Jiwon, additional, Bandello, Francesco, additional, Baumal, Caroline R., additional, Bernal-Morales, Carolina, additional, Bertelli, Pietro M., additional, Bharath, Abhinaya, additional, Biswas, Jyotirmay, additional, Blindbæk, Søren Leer, additional, Bonhomme, Gabrielle, additional, Bonilla, Alan Chew, additional, Bonnin, Sophie, additional, Borrelli, Enrico, additional, Bousquet, Elodie, additional, Caranfa, Jonathan T., additional, Cassoux, Nathalie, additional, Chatziralli, Irini, additional, Checchin, Lisa, additional, Chhablani, Jay, additional, Chotcomwongse, Peranut, additional, Choudhry, Netan, additional, Chui, Toco, additional, Cruz-Pimentel, Miguel, additional, Eandi, Chiara M., additional, El Moussawi, Zeinab, additional, Errera, Marie-Helene, additional, Espejo-Arjona, Francisco, additional, Eyre, Jessica, additional, Falavarjani, Khalil Ghasemi, additional, Gallego-Pinazo, Roberto, additional, Gaudric, Alain, additional, Gonzalez, Monica P., additional, Grauslund, Jakob, additional, Guduric-Fuchs, Jasenka, additional, Guerra, Ricardo Leitão, additional, Gutiérrez-Bonet, Rosa, additional, Handa, Ashit, additional, Iovino, Claudio, additional, Jones, Anthony A., additional, Joshi, Shrinivas, additional, Kim, Judy E., additional, Kodjikian, Laurent, additional, Kulikov, Alexey N., additional, Labay-Tejado, Sara, additional, Ledesma-Gil, Gerardo, additional, Lippincott, John K., additional, Lois, Noemi, additional, Lupidi, Marco, additional, Mainster, Martin A., additional, Malaise, Denis, additional, Maltsev, Dmitrii S., additional, Mammo, Danny A., additional, Mangla, Rubble, additional, Mansour, Hana A., additional, Mansour, Ahmad M., additional, Mariotti, Cesare, additional, Matet, Alexandre, additional, Mathis, Thibaud, additional, Medina, Reinhold J., additional, Melo, Isabela Martins, additional, Menendez-Acebal, Covadonga, additional, Micevych, Paul S., additional, Montesel, Andrea, additional, Montolío-Marzo, Santiago, additional, Muni, Rajeev H., additional, Muñoz-Solano, Javier, additional, Muzi, Alessio, additional, Neto, Laurentino Biccas, additional, Ong, Joshua, additional, Ong, Sally S., additional, Orr, Samantha, additional, Özdek, Şengül, additional, Pacques, Michel, additional, Pappelis, Konstantinos, additional, Pathak, Varun, additional, Pattathil, Niveditha, additional, Pearce, Thomas M., additional, Penha, Fernando M., additional, Pichi, Francesco, additional, Poireir, Matthieu, additional, Prabhu, Vishma, additional, Querques, Giuseppe, additional, Rachitskaya, Aleksandra V., additional, Rahimi Ardali, Kimia, additional, Raval, Vishal, additional, Raval, Nilesh, additional, Reddy, Nikitha Gurram, additional, Reibaldi, Michele, additional, Reid, Emma, additional, Ricardi, Federico, additional, Rosen, Richard, additional, Rosier, Laurence, additional, Ruamviboonsuk, Paisan, additional, Ruiz-Medrano, Jorge, additional, Ruiz-Moreno, José M., additional, Sacconi, Riccardo, additional, Santina, Ahmad, additional, Sarraf, David, additional, Schwartz, Carol E., additional, Scott, Adrienne W., additional, Shaheen, Abdulla R., additional, Silpa-archa, Sukhum, additional, Singh, Sumit Randhir, additional, Sivalingam, Meera D., additional, Sridhar, Jayanth, additional, Stewart, Jay M., additional, Stitt, Alan W., additional, Tadarati, Mongkol, additional, Thariat, Juliette, additional, Turgut, Burak, additional, Venkatesh, Ramesh, additional, Vergmann, Anna Stage, additional, Vidal-Oliver, Lourdes, additional, Vujosevic, Stela, additional, Wakabayashi, Taku, additional, Wang, Kristine, additional, Wu, Lihteh, additional, Wu, Andres, additional, Wu, Max, additional, Yonekawa, Yoshihiro, additional, Zarnegar, Arman, additional, Zarranz-Ventura, Javier, additional, Zeydanli, Ece Ozdemir, additional, Zhang, Xinyuan, additional, and Zucchiatti, Ilaria, additional

Published
2024
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18. Combining Structural and Vascular Parameters to Discriminate Among Glaucoma Patients, Glaucoma Suspects, and Healthy Subjects

Author

Rabiolo, Alessandro, Fantaguzzi, Federico, Sacconi, Riccardo, Gelormini, Francesco, Borrelli, Enrico, Triolo, Giacinto, Bettin, Paolo, McNaught, Andrew I, Caprioli, Joseph, Querques, Giuseppe, and Bandello, Francesco

Subjects
Biomedical and Clinical Sciences, Ophthalmology and Optometry, Clinical Research, Neurodegenerative, Aging, Eye Disease and Disorders of Vision, Neurosciences, Eye, Glaucoma, Healthy Volunteers, Humans, Nerve Fibers, Ocular Hypertension, Retinal Ganglion Cells, Tomography, Optical Coherence, peripapillary retinal nerve fiber layer, macular ganglion cell-inner plexiform layer, perfusion density, glaucoma diagnosis, machine learning, Biomedical Engineering, Opthalmology and Optometry, Ophthalmology and optometry
Abstract

PurposeCompare the ability of peripapillary and macular structural parameters, vascular parameters, and their integration to discriminate among glaucoma, suspected glaucoma (GS), and healthy controls (HCs).MethodsIn this study, 196 eyes of 119 patients with glaucoma (n = 81), patients with GS (n = 48), and HCs (n = 67) underwent optical coherence tomography (OCT) and OCT angiography to measure peripapillary retinal nerve fiber layer (pRNFL), macular ganglion cell-inner plexiform layer (mGCIPL) thicknesses, radial peripapillary capillary perfusion density (RPC-PD), and macular GCIPL perfusion density (GCIPL-PD). Parameters were integrated regionally with logistic regression and globally with machine learning algorithms. Diagnostic performances were evaluated with area under the receiver operating characteristic (AUROC) curves.ResultsPatients with glaucoma had mild to moderate damage (median, -3.3 dB; interquartile range, -6.5 to -1.4). In discriminating between patients with glaucoma and the HCs, pRNFL thickness had higher AUROC curve values than RPC-PD for average (0.87 vs. 0.62; P < 0.001), superior (0.86 vs. 0.54; P < 0.001), inferior (0.90 vs. 0.71; P < 0.001), and temporal (0.65 vs. 0.51; P = 0.02) quadrants. mGCIPL thickness had higher AUROC curve values than GCIPL-PD for average (0.84 vs. 0.68; P < 0.001), superotemporal (0.76 vs. 0.65; P = 0.016), superior (0.72 vs. 0.57; P = 0.004), superonasal (0.70 vs. 0.56; P = 0.01), inferotemporal (0.90 vs. 0.72; P < 0.001), inferior (0.87 vs. 0.69; P < 0.001), and inferonasal (0.78 vs. 0.65, P = 0.012) sectors. All structural multisector indices had higher diagnostic ability than vascular ones (P < 0.001). Combined structural-vascular indices did not outperform structural indices. Similar results were found to discriminate glaucoma from GS.ConclusionsCombining structural and vascular parameters in a structural-vascular index does not improve diagnostic ability over structural parameters alone.Translational relevanceOCT angiography does not add additional benefit to structural OCT in early to moderate glaucoma diagnosis.

Published
2021

22. Intravitreal dexamethasone implant versus anti-vascular endothelial growth factor therapy combined with cataract surgery in patients with diabetic macular oedema: a systematic review with meta-analysis

Author

Fallico, Matteo, Lotery, Andrew, Maugeri, Andrea, Favara, Giuliana, Barchitta, Martina, Agodi, Antonella, Russo, Andrea, Longo, Antonio, Bonfiglio, Vincenza, Avitabile, Teresio, Marolo, Paola, Borrelli, Enrico, Parisi, Guglielmo, Cennamo, Gilda, Furino, Claudio, and Reibaldi, Michele

Published
2022
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29. Choroidal thickness and the retinal ganglion cell complex in chronic Lebers hereditary optic neuropathy: a prospective study using swept-source optical coherence tomography.

Author

Darvizeh, Fatemeh, Asanad, Samuel, Falavarjani, Khalil, Wu, Jessica, Tian, Jack, Bandello, Francesco, Ross-Cisneros, Fred, Barboni, Piero, Borrelli, Enrico, and Sadun, Alfredo

Subjects
Adolescent, Adult, Choroid, Humans, Middle Aged, Nerve Fibers, Optic Atrophy, Hereditary, Leber, Prospective Studies, Retinal Ganglion Cells, Tomography, Optical Coherence, Young Adult
Abstract

BACKGROUND/OBJECTIVES: Choroidal thinning has been suggested in Lebers hereditary optic neuropathy (LHON). No study has been conducted of the choroid in relation to the retinal ganglion cell-inner plexiform layer (RGC-IPL). We sought to measure choroidal thickness in chronic LHON and to correlate thickness changes with the RGC-IPL. SUBJECTS/METHODS: Chronic LHON, 11778 mitochondrial DNA (mtDNA) mutation, patients (26 eyes; mean age: 35.1 ± 16.1 years) were prospectively recruited at Doheny Eye Center, University of California Los Angeles from March 2016 to July 2017. Age-matched healthy controls (27 eyes; mean age: 32.4 ± 11.1 years) were enroled for comparison. Swept-source optical coherence tomography (SS-OCT) imaging was performed in chronic LHON patients and compared with age-matched healthy controls. RESULTS: The macular choroid was significantly thinner in chronic LHON (250.5 ± 62.2 μm) compared with controls (313.9 ± 60.2 μm; p

Published
2020

32. Comparison of Functional, Structural, and Microvascular Features in Different Stages of Idiopathic Epiretinal Membrane

Author

Marolo, Paola, primary, Borrelli, Enrico, additional, Caselgrandi, Paolo, additional, Parisi, Guglielmo, additional, Gelormini, Francesco, additional, Ricardi, Federico, additional, Ceroni, Luca, additional, Fallico, Matteo, additional, Toro, Mario Damiano, additional, Ventre, Luca, additional, and Reibaldi, Michele, additional

Published
2024
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33. Long-term Visual Outcomes and OCT Biomarkers in Eyes with Macular Edema Secondary to Retinal Vein Occlusion following Anti-VEGF Therapy

Author

Viggiano, Pasquale, primary, Bisceglia, Giulia, additional, Bacherini, Daniela, additional, Chhablani, Jay, additional, Grassi, Maria Oliva, additional, Boscia, Giacomo, additional, Borrelli, Enrico, additional, Reibaldi, Michele, additional, Evangelista, Federica, additional, Alessio, Giovanni, additional, and Boscia, Francesco, additional

Published
2024
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34. Short-Term Morpho-Functional Changes before and after Strabismus Surgery in Children Using Structural Optical Coherence Tomography: A Pilot Study

Author

Viggiano, Pasquale, primary, Gaudiomonte, Marida, additional, Procoli, Ugo, additional, Micelli Ferrari, Luisa, additional, Borrelli, Enrico, additional, Boscia, Giacomo, additional, Ferrara, Andrea, additional, De Vitis, Fabio, additional, Scalise, Gemma, additional, Albano, Valeria, additional, Alessio, Giovanni, additional, and Boscia, Francesco, additional

Published
2024
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35. Validation of a deep learning model for automatic detection and quantification of five OCT critical retinal features associated with neovascular age-related macular degeneration

Author

Ricardi, Federico, primary, Oakley, Jonathan, additional, Russakoff, Daniel, additional, Boscia, Giacomo, additional, Caselgrandi, Paolo, additional, Gelormini, Francesco, additional, Ghilardi, Andrea, additional, Pintore, Giulia, additional, Tibaldi, Tommaso, additional, Marolo, Paola, additional, Bandello, Francesco, additional, Reibaldi, Michele, additional, and Borrelli, Enrico, additional

Published
2024
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43. Lebers hereditary optic neuropathy: Shifting our attention to the macula.

Author

Asanad, Samuel, Meer, Elana, Fantini, Michele, Borrelli, Enrico, and Sadun, Alfredo

Subjects
Lebers hereditary optic neuropathy, Macular vascular pathology, Optical coherence tomography angiography, Subclinical vasculopathy
Abstract

PURPOSE: Peripapillary vascular alterations have been classically described as hallmarks of Lebers Hereditary Optic Neuropathy (LHON). We recently demonstrated microvascular pathology involving the macula in patients affected with chronic LHON using optical coherence tomography angiography (OCTA). Macular vascular pathology in acute LHON has not previously been reported. METHODS: The macular superficial vasculature of an asymptomatic carrier and an affected patient with acute LHON, mitochondrial DNA mutation 3460, was assessed by OCTA. RESULTS: Similar findings of peripapillary microangiopathy and vascular telangiectasias were seen the affected patient, but in the parafoveal macula. These changes were most prominent nasally and inferiorly, corresponding to the proximal portions of the papillomacular bundle. The foveal avascular zone was markedly enlarged in the affected patient relative to the asymptomatic mother. CONCLUSIONS: These findings in acute LHON further supports the clinical utility of vascular parameters and suggest that further studies focused on macular pathology may be warranted to assess the natural history of LHON.

Published
2019

44. Reply

Author

Ventre, Luca, Fallico, Matteo, Longo, Antonio, Parisi, Guglielmo, Russo, Andrea, Bonfiglio, Vincenza, Marolo, Paola, Caselgrandi, Paolo, Avitabile, Teresio, Borrelli, Enrico, and Reibaldi, Michele

Published
2023
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45. Long-Term Surgical Outcomes of Scleral Flap versus Scleral Pocket Technique for Sutureless Intrascleral One-Piece Lens Fixation.

Author

Marolo, Paola, Caselgrandi, Paolo, Gaidano, Michele, Conte, Fabio, Parisi, Guglielmo, Borrelli, Enrico, Fallico, Matteo, Toro, Mario Damiano, Ventre, Luca, Vaiano, Agostino S., and Reibaldi, Michele

Subjects
INTRAOCULAR lenses, VISUAL acuity, REFRACTIVE errors, ENDOTHELIAL cells, OPERATIVE surgery, PHOTOREFRACTIVE keratectomy
Abstract

Objectives: This study compared long-term surgical outcomes of the scleral flap versus scleral pocket technique for sutureless intrascleral one-piece intraocular lens (IOL) fixation. Methods: A retrospective comparative study was conducted at a single center, involving consecutive patients undergoing sutureless intrascleral one-piece IOL implantation, between January 2020 and May 2022. Eyes were divided into two groups based on the surgical technique: group 1 underwent scleral flap (n = 64), and group 2 received scleral pocket technique (n = 59). Visual acuity, refractive outcomes, and complications were assessed over a minimum 24-month follow-up period. Results: Both groups showed improvements in best-corrected visual acuity (BCVA), increasing from 0.84 ± 0.56 logMAR at baseline to 0.39 ± 0.23 logMAR (p = 0.042) at 24 months in group 1 and from 0.91 ± 0.63 logMAR at baseline to 0.45 ± 0.38 logMAR (p = 0.039) at 24 months in group 2. No significant differences in BCVA were observed between the groups at baseline (p = 0.991), 12 (p = 0.496) and 24 months (p = 0.557). Mean spherical equivalent (−0.73 ± 1.32 D in group 1 and −0.92 ± 0.99 D in group 2, p = 0.447), refractive prediction error (−0.21 ± 1.1 D in group 1 and −0.35 ± 1.8 D in group 2, p = 0.377), and surgically induced astigmatism (0.74 ± 0.89 D in group 1 and 0.85 ± 0.76 in group 2, p = 0.651) were comparable between the two groups. An IOL tilt of 5.5 ± 1.8 and 5.8 ± 2.0 degrees (p = 0.867) and an IOL decentration of 0.41 ± 0.21 mm and 0.29 ± 0.11 mm (p = 0.955) were obtained, respectively, in group 1 and group 2 at 24 months. Mean endothelial cell density remained stable at 24 months in both groups (p = 0.832 in group 1 and p = 0.443 in group 2), and it was 1747.20 ± 588.03 cells/mm2 in group 1 and 1883.71 ± 621.29 cells/mm2 in group 2 (p = 0.327) at baseline, 1545.36 ± 442.3 cells/mm2 in group 1 and 1417.44 ± 623.40 cells/mm2 in group 2 (p = 0.483) at 24 months. No cases of endophthalmitis were observed. Conclusions: The scleral pocket technique for sutureless intrascleral one-piece IOL fixation is comparable to the traditional scleral flap technique in terms of long-term visual outcomes and safety. The scleral pocket technique offers a simplified approach and a viable option even for less experienced surgeons. [ABSTRACT FROM AUTHOR]

Published
2024
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47. Deep Learning in Neovascular Age-Related Macular Degeneration.

Author

Borrelli, Enrico, Serafino, Sonia, Ricardi, Federico, Coletto, Andrea, Neri, Giovanni, Olivieri, Chiara, Ulla, Lorena, Foti, Claudio, Marolo, Paola, Toro, Mario Damiano, Bandello, Francesco, and Reibaldi, Michele

Subjects
MACULAR degeneration, DEEP learning, OPTICAL coherence tomography, VISION disorders
Abstract

Background and objectives: Age-related macular degeneration (AMD) is a complex and multifactorial condition that can lead to permanent vision loss once it progresses to the neovascular exudative stage. This review aims to summarize the use of deep learning in neovascular AMD. Materials and Methods: Pubmed search. Results: Deep learning has demonstrated effectiveness in analyzing structural OCT images in patients with neovascular AMD. This review outlines the role of deep learning in identifying and measuring biomarkers linked to an elevated risk of transitioning to the neovascular form of AMD. Additionally, deep learning techniques can quantify critical OCT features associated with neovascular AMD, which have prognostic implications for these patients. Incorporating deep learning into the assessment of neovascular AMD eyes holds promise for enhancing clinical management strategies for affected individuals. Conclusion: Several studies have demonstrated effectiveness of deep learning in assessing neovascular AMD patients and this has a promising role in the assessment of these patients. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Platelet rich plasma for primary macular hole: A case series

Author

Parisi, Guglielmo, primary, Gelormini, Francesco, additional, Ricardi, Federico, additional, Borrelli, Enrico, additional, Parisi, Francesca, additional, Belluardo, Giuseppe, additional, Azzaro, Laura, additional, Marolo, Paola, additional, D’antico, Sergio, additional, Salafia, Marika, additional, and Reibaldi, Michele, additional

Published
2024
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