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300 results on '"Midena, Edoardo"'

6. Efficacy and safety of avacincaptad pegol in patients with geographic atrophy (GATHER2): 12-month results from a randomised, double-masked, phase 3 trial

Author

Alezzandrini, Arturo, Francone, Anibal Andres, Bafalluy, Joaquín, Bainttein, Silvina, Luna Pinto, Jose, Saravia, Mario, Vidosevich, Matko, Zeolite, Carlos, Furno Sola, Federico, Chang, Andrew, Cornish, Elisa Eleanor Guida, Nguyen, Thanh, Findl, Oliver, Haas, Anton, Kralinger, Martina, Sacu, Stefan, Postelmans, Laurence Dominique, Farah, Michel, Maia, Mauricio, Nehemy, Marcio, Ali, Fareed, Brent, Michael, Dollin, Michael, Gonder, John, Kherani, Amin, Merkur, Andrew, Tuli, Raman, Lopera, Monica Marie, Rodriguez, Francisco, Bradvica, Mario, Ernest, Jan, Kalijurand, Kuldar, Noor, Kai, Cohen, Yves, Creuzot-Garcher, Catherine, De Bats, Flore, Devin, François, Français-Maury, Catherine, Kodjikian, Laurent, Korobelnik, Jean François, Le Mer, Yannick, Quaranta El Maftouhi, Maddalena, Razavi, Sam, Souied, Eric, Tadayoni, Ramin, Weber, Michel, Eter, Nicole, Feltgen, Nicolas, Grisanti, Salvatore, Walter, Peter, Liegl, Raffael, Lorenz, Katrin, Spital, Georg, Priglinger, Siegfried, Spitzer, Martin, Volker, Michael, Krohne, Tim, Jochmann, Claudia, Lohmann, Chris Patrick, Framme, Carsten, Kerenyi, Agnes, Papp, Andras, Seres, Andras, Toth-Molnar, Edit, Tsorbatzoglou, Alexis, Vajas, Atilla, Varsanyi, Balázs, Vogt, Gabor, Bar, Asaf, Eting, Eva, Hauser, David, Levy, Jamie, Mathalone, Nurit, Morori-Katz, Haia, Rosenblatt, Irit, Soudry-Zayit, Shiri, Trivizky, Omert, Bandello, Francesco, Ciardella, Antonio Pasquale, Figus, Michele, Giansanti, Fabrizio, Lanzetta, Paolo, Mariotti, Cesare, Mastropasqua, Leonardo, Midena, Edoardo, Parmeggiani, Francesco, Ricci, Federico, Simonelli, Francesca, Staurenghi, Giovanni, Viola, Francesco, Varano, Monica, Laganovska, Guna, Cisiecki, Sławomir, Jedrzejewski, Wojciech, Kaluzny, Jakub, Misiuk-Hojło, Marta, Abengoechea, Santiago, Iribarren, Javier Araiz, Ascaso, Franciso Javier, Cubero, Juan Manuel, Gallego-Pinazo, Roberto, Gomez-Ulla De Irazazabal, Francisco, Mestre, Ignasi Jürgens, Mones I Carilla, Jordi Manel, Montero Moreno, Javier, María Ruiz Moreno, José, Sararols Ramsay, Laura, Garcia Layana, Alfredo, Downey, Louise, Abraham, Prema, Alfaro, Daniel Virgil, Bagheri, Nika, Barbazetto, Irene, Benevento, Joseph, Bernstein, Paul, Bertolucci, George, Bhavsar, Abdhish, Bridges, William, Brooks, Jr, Harold Logan, Brown, Jamin, Brucker, Alexander, Calvo, Charles M., Capone, Antonio, Carlson, John, Chan, Clement, Chang, Emmanuel, Chan-Kai, Brian, Chaudhry, Nauman, Chen, Sanford, Csaky, Karl, Cummings, Howard, Danzig, Carl, Dessouki, Amr, Dyer, David, Eaton, Alexander, Eichenbaum, David, Faber, David, Feldman, Robert, Finnen, Neil, Freeman, William, Frenkel, Ronald, Gonzales, Christine, Gonzalez, Victor, Gross, John, Gupta, Sunil, Hall, Edward, Han, Min-Kyu, Heier, Jeffrey, Hershberger, Vrinda, Higgins, Patrick, Hsu, Jason, Ip, Michael, Jablon, Eric, Jewart, Brian, John, Vishak, Jonisch, Jonathan, Joondeph, Brian, Kay, Christine, Khanani, Arshad, Kokame, Gregg T., Kwun, Robert, Lai, Michael, Lally, David, Laud, Ketan, Lavina, Adrian, Lee, Michael, Lin, Phoebe, Lin, Haijiang, Manoharan, Niranjan, Marcus, Dennis, Martidis, Adam, McCabe, Frank, Nielsen, Jared, Osher, James, Palmer, James, Patel, Sunil, Pearlman, Joel, Perkins, Stephen, Pirouz, Ashkan, Qureshi, Jawad, Randolph, John, Piri, Niloofar, Rosenfeld, Phillip, Saperstein, David, Scartozzi, Richard, Schwartz, Steven, Sharma, Ashish, Sharma, Atul, Sheth, Veeral, Singer, Michael, Spinak, David, Suan, Eric, Tabandeh, Homayoun, Tabassian, Ali, Uchiyama, Eduardo, Varenhorst, Michael, Wagner, Alan, Warrow, David, Wells, III, John, Wong, Robert, Wong, Keye, Wykoff, Charles, Xavier, Samantha, Ysasaga, Edward, Khanani, Arshad M, Patel, Sunil S, Danzig, Carl J, Eichenbaum, David A, Wykoff, Charles C, Heier, Jeffrey S, Lally, David R, Monés, Jordi, Nielsen, Jared S, Sheth, Veeral S, Kaiser, Peter K, Clark, Julie, Zhu, Liansheng, Patel, Hersh, Tang, Justin, Desai, Dhaval, and Jaffe, Glenn J

Published
2023
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8. Randomized Phase 2b Study of Brimonidine Drug Delivery System Generation 2 for Geographic Atrophy in Age-related Macular Degeneration

Author

Chen, Fred, Guymer, Robyn, Korobelnik, Jean-Francois, Souied, Eric, Holz, Frank, Ziemssen, Focke, Bandello, Francesco, Campos, Emilio, Grignolo/Eandi, Chiara, Midena, Edoardo, Peiretti, Enrico, Staurenghi, Giovanni, Viola, Francesco, Bailey, Clare, Esposti, Simona Degli, Jackson, Timothy, Menon, Geeta, Pagliarini, Sergio, Quhill, Fahd, Antoszyk, Andrew, Brooks, Logan, Callanan, David, Csaky, Karl, Edwards, Albert, Eichenbaum, David, Freeman, William, Garg, Sunir, Ghuman, Avtar Thomas, Gonzalez, Victor, Gupta, Sunil, Hamilton, Richard, Khurana, Rahul, Kunimoto, Derek, Kuppermann, Baruch, Lauer, Andreas, Lee, Seong Young, Maturi, Raj, Patel, Sunil, Reddy, Rahul, Rich, Ryan, Rivellese, Mark, Rose, Steven, Segal, Zachary, Wong, Robert, Freeman, William R., Guymer, Robyn H., Garg, Sunir J., Chen, Fred K., Holz, Frank G., Patel, Sunil S., Kim, Kimmie, and López, Francisco J.

Published
2023
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10. The Global Retinoblastoma Outcome Study: a prospective, cluster-based analysis of 4064 patients from 149 countries

Author

Fabian, Ido Didi, Abdallah, Elhassan, Abdullahi, Shehu U, Abdulqader, Rula A, Abdulrahaman, Aminatu A, Abouelnaga, Sherif, Ademola-Popoola, Dupe S, Adio, Adedayo, Afifi, Mahmoud A, Afshar, Armin R, Aggarwal, Priyanka, Aghaji, Ada E, Ahmad, Alia, Akib, Marliyanti NR, Akinsete, Adeseye, Al Harby, Lamis, Al Mesfer, Saleh, Al Ani, Mouroge H, Alarcón Portabella, Silvia, Al-Badri, Safaa AF, Alcasabas, Ana Patricia A, Al-Dahmash, Saad A, Alejos, Amanda, Alemany-Rubio, Ernesto, Alfa Bio, Amadou I, Alfonso Carreras, Yvania, Al-Haddad, Christiane E, Al-Hussaini, Hamoud HY, Ali, Amany M, Alia, Donjeta B, Al-Jadiry, Mazin F, Al-Jumaily, Usama, Alkatan, Hind M, All-Eriksson, Charlotta, Al-Mafrachi, Ali ARM, Almeida, Argentino A, Alsawidi, Khalifa M, Al-Shaheen, Athar ASM, Al-Shammary, Entissar H, Amankwaa-Frempong, Doreen, Amiruddin, Primawita O, Armytasari, Inggar, Astbury, Nicholas J, Atalay, Hatice T, Ataseven, Eda, Atchaneeyasakul, La-ongsri, Atsiaya, Rose, Autrata, Rudolf, Balaguer, Julia, Balayeva, Ruhengiz, Barranco, Honorio, Bartoszek, Paulina, Bartuma, Katarina, Bascaran, Covadonga, Bechrakis, Nikolaos E, Beck Popovic, Maja, Begimkulova, Ainura S, Benmiloud, Sarra, Berete, Rokia C, Berry, Jesse L, Bhaduri, Anirban, Bhat, Sunil, Bhattacharyya, Arpita, Biewald, Eva M, Binkley, Elaine, Blum, Sharon, Bobrova, Nadia, Boldt, H.C., Bonanomi, Maria Teresa BC, Bouda, Gabrielle C, Bouguila, Hédi, Brennan, Rachel C, Brichard, Bénédicte G, Buaboonnam, Jassada, Budiongo, Aléine, Burton, Matthew J, Calderón-Sotelo, Patricia, Calle Jara, Doris A, Camuglia, Jayne E, Cano, Miriam R, Capra, Michael, Caspi, Shani, Cassoux, Nathalie, Castela, Guilherme, Castillo, Luis, Català-Mora, Jaume, Cavieres, Isabel, Chandramohan, Arthika, Chantada, Guillermo L, Chaudhry, Shabana, Chawla, Bhavna, Chen, Wensi, Chiwanga, Faraja S, Chuluunbat, Tsengelmaa, Cieslik, Krzysztof, Clark, Antony, Cockcroft, Ruellyn L, Comsa, Codruta, Correa Llano, Maria G, Corson, Timothy W, Couitchere, Line, Cowan-Lyn, Kristin E, Csóka, Monika, Dangboon, Wantanee, Das, Anirban, Das, Pranab, Das, Sima, Davanzo, Jacquelyn M, Davidson, Alan, De Francesco, Sonia, De Potter, Patrick, Quintero D, Karina, Demirci, Hakan, Desjardins, Laurence, Díaz Coronado, Rosdali Y, Dimaras, Helen, Dodgshun, Andrew J, Donato Macedo, Carla R, Dragomir, Monica D, Du, Yi, Du Bruyn, Magritha, Du Plessis, Johannes, Dudeja, Gagan, Eerme, Katrin, Eka Sutyawan, I Wayan, El Kettani, Asmaa, Elbahi, Amal M, Elder, James E, Elhaddad, Alaa M, Elhassan, Moawia MA, Elzembely, Mahmoud M, Ericksen, Connor, Essuman, Vera A, Evina, Ted Grimbert A, Ezegwui, Ifeoma R, Fadoo, Zehra, Fandiño, Adriana C, Faranoush, Mohammad, Fasina, Oluyemi, Fernández, Delia DPG, Fernández-Teijeiro, Ana, Foster, Allen, Frenkel, Shahar, Fu, Ligia D, Fuentes-Alabi, Soad L, Garcia, Juan L, García Aldana, David, Garcia Pacheco, Henry N, Geel, Jennifer A, Ghassemi, Fariba, Girón, Ana V, Goenz, Marco A, Gold, Aaron S, Goldberg, Hila, Gole, Glen A, Gomel, Nir, Gonzalez, Efren, Gonzalez Perez, Graciela, González-Rodríguez, Liudmira, Gorfine, Malka, Graells, Jaime, Gregersen, Pernille A, Grigorovski, Nathalia DAK, Guedenon, Koffi M, Gunasekera, D Sanjeeva, Gündüz, Ahmet K, Gupta, Himika, Gupta, Sanjiv, Gupta, Vineeta, Hadjistilianou, Theodora, Hamel, Patrick, Hamid, Syed A, Hamzah, Norhafizah, Hansen, Eric D, Harbour, J William, Hartnett, M. Elizabeth, Hasanreisoglu, Murat, Muhammad, Hassan, Hassan, Sadiq, Hassan, Shadab, Hautz, Wojciech, Haydar, Huda, Hederova, Stanislava, Hessissen, Laila, Hongeng, Suradej, Hordofa, Diriba F, Hubbard, G. Baker, Hummelen, Marlies, Husakova, Kristina, Hussein Al-Janabi, Allawi N, Ibanga, Affiong, Ida, Russo, Ilic, Vesna R, Islamov, Ziyavuddin, Jairaj, Vivekaraj, Janjua, Teyyeb, Jeeva, Irfan, Ji, Xunda, Jo, Dong Hyun, Jones, Michael M, Kabesha Amani, Theophile B, Kabore, Rolande L, Kaliki, Swathi, Kalinaki, Abubakar, Kamsang, Pius, Kantar, Mehmet, Kapelushnik, Noa, Kardava, Tamar, Kebudi, Rejin, Keomisy, Jonny, Kepak, Tomas, Ketteler, Petra, Khan, Zohora J, Khaqan, Hussain A, Khetan, Vikas, Khodabande, Alireza, Khotenashvili, Zaza, Kim, Jonathan W, Kim, Jeong Hun, Kiratli, Hayyam, Kivela, Tero T., Klett, Artur, Koç, Irem, Kosh Komba Palet, Jess Elio, Krivaitiene, Dalia, Kruger, Mariana, Kulvichit, Kittisak, Kuntorini, Mayasari W, Kyara, Alice, Lam, Geoffrey C, Larson, Scott A, Latinović, Slobodanka, Laurenti, Kelly D, Lavy, Yotam, Lavric Groznik, Alenka, Leverant, Amy A, Li, Cairui, Li, Kaijun, Limbu, Ben, Liu, Chun-Hsiu, Quah, BoonLong, López, Juan P, Lukamba, Robert M, Luna-Fineman, Sandra, Lutfi, Delfitri, Lysytsia, Lesia, Madgar, Shiran, Magrath, George N, Mahajan, Amita, Maitra, Puja, Maka, Erika, Makimbetov, Emil K, Maktabi, Azza, Maldonado, Carlos, Mallipatna, Ashwin, Manudhane, Rebecca, Manzhuova, Lyazat, Martín-Begue, Nieves, Masud, Sidra, Matende, Ibrahim O, Mattosinho, Clarissa CDS, Matua, Marchelo, Mayet, Ismail, Mbumba, Freddy B, McKenzie, John D, Mehrvar, Azim, Mengesha, Aemero A, Menon, Vikas, Mercado, Gary John V, Mets, Marilyn B, Midena, Edoardo, Miller, Audra, Mishra, Divyansh KC, Mndeme, Furahini G, Mohamedani, Ahmed A, Mohammad, Mona T, Moll, Annette C, Montero, Margarita M, Moreira, Claude, Mruthyunjaya, Prithvi, Msina, Mchikirwa S, Msukwa, Gerald, Mudaliar, Sangeeta S, Muma, Kangwa I M, Munier, Francis L, Murray, Timothy G, Musa, Kareem O, Mushtaq, Asma, Musika, Anne A, Mustak, Hamzah, Mustapha, Tajudeen, Muyen, Okwen M, Myezo, Khumo H, Naidu, Gita, Naidu, Natasha, Nair, Akshay Gopinathan, Natarajan, Sundaram, Naumenko, Larisa, Ndoye Roth, Paule Aïda, Nency, Yetty M, Neroev, Vladimir, Ng, Yvonne, Nikitovic, Marina, Nkanga, Elizabeth D, Nkumbe, Henry E, Numbi, Marcel N, Nummi, Kalle, Nuruddin, Murtuza, Nyaywa, Mutale, Nyirenda, Chinsisi, Obono-Obiang, Ghislaine, Oliver, Scott CN, Oporto, Joaquin, Ortega-Hernández, Miriam, Oscar, Alexander H, Ossandon, Diego, Pagarra, Halimah, Paintsil, Vivian, Paiva, Luisa, Palanivelu, Mahesh Shanmugam, Papyan, Ruzanna, Parrozzani, Raffaele, Pascual Morales, Claudia R, Paton, Katherine E, Pe'er, Jacob, Peralta Calvo, Jesús, Perić, Sanja, Pham, Chau TM, Philbert, Remezo, Plager, David A, Pochop, Pavel, Polania, Rodrigo A., Polyakov, Vladimir, Ponce, Jimena, Qadir, Ali O, Qayyum, Seema, Qian, Jiang, Refaeli, David, Rahman, Ardizal, Rajkarnikar, Purnima, Ramanjulu, Rajesh, Ramasubramanian, Aparna, Ramirez-Ortiz, Marco A, Randhawa, Jasmeen K, Randrianarisoa, Hoby Lalaina, Raobela, Léa, Rashid, Riffat, Reddy, M.A., Renner, Lorna A, Reynders, David, Ribadu, Dahiru, Ritter-Sovinz, Petra, Rogowska, Anna, Rojanaporn, Duangnate, Romero, Livia, Roy, Soma R, Saab, Raya H, Saakyan, Svetlana, Sabhan, Ahmed H, Sagoo, Mandeep S, Said, Azza MA, Saiju, Rohit, Salas, Beatriz, San Román Pacheco, Sonsoles, Sánchez, Gissela L, Sanchez Orozco, Alma Janeth, Sayalith, Phayvanh, Scanlan, Trish A, Schlüter, Sabrina, Schwab, Christoph, Sedaghat, Ahad, Seth, Rachna, Sgroi, Mariana, Shah, Ankoor S, Shakoor, Shawkat A, Sharma, Manoj K, Sherief, Sadik T, Shields, Carol L, Sia, David, Siddiqui, Sorath Noorani, Sidi cheikh, Sidi, Silva, Sónia, Singh, Arun D, Singh, Usha, Singha, Penny, Sitorus, Rita S, Skalet, Alison H, Soebagjo, Hendrian D, Sorochynska, Tetyana, Ssali, Grace, Stacey, Andrew W, Staffieri, Sandra E, Stahl, Erin D, Steinberg, David M, Stones, David K, Strahlendorf, Caron, Suarez, Maria Estela Coleoni, Sultana, Sadia, Sun, Xiantao, Superstein, Rosanne, Supriyadi, Eddy, Surukrattanaskul, Supawan, Suzuki, Shigenobu, Svojgr, Karel, Sylla, Fatoumata, Tamamyan, Gevorg, Tan, Deborah, Tandili, Alketa, Tang, Jing, Tarrillo Leiva, Fanny F, Tashvighi, Maryam, Tateshi, Bekim, Teh, Kok Hoi, Tehuteru, Edi S, Teixeira, Luiz F, Tekavcic Pompe, Manca, Thawaba, Abdullah Dahan M, Theophile, Tuyisabe, Toledano, Helen, Trang, Doan L, Traoré, Fousseyni, Tripathy, Devjyoti, Tuncer, Samuray, Tyau-Tyau, Harba, Umar, Ali B, Unal, Emel, Uner, Ogul E, Urbak, Steen F, Ushakova, Tatiana L, Usmanov, Rustam H, Valeina, Sandra, Valente, Paola, van Hoefen Wijsard, Milo, Vasquez Anchaya, Jacqueline Karina, Vaughan, Leon O, Veleva-Krasteva, Nevyana V, Verma, Nishant, Victor, Andi A, Viksnins, Maris, Villacís Chafla, Edwin G, Villegas, Victor M, Vishnevskia-Dai, Victoria, Waddell, Keith, Wali, Amina H, Wang, Yi-Zhuo, Wangtiraumnuay, Nutsuchar, Wetter, Julie, Widiarti, Widiarti, Wilson, Matthew W, Wime, Amelia DC, Wiwatwongwana, Atchareeya, Wiwatwongwana, Damrong, Wolley Dod, Charlotte, Wong, Emily S, Wongwai, Phanthipha, Wu, Si-qi, Xiang, Daoman, Xiao, Yishuang, Xu, Bing, Xue, Kang, Yaghy, Antonio, Yam, Jason C, Yang, Huasheng, Yanga, Jenny M, Yaqub, Muhammad A, Yarovaya, Vera A, Yarovoy, Andrey A, Ye, Huijing, Yee, Roberto I, Yousef, Yacoub A, Yuliawati, Putu, Zapata López, Arturo M, Zein, Ekhtelbenina, Zhang, Yi, Zhilyaeva, Katsiaryna, Zia, Nida, Ziko, Othman AO, Zondervan, Marcia, and Bowman, Richard

Published
2022
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12. Aqueous Humor Cytokines in Idiopathic Epiretinal Membrane: Correlation with Disease Severity.

Author

Torresin, Tommaso, Greggio, Angelo, Frisina, Rino, Motta, Lorenzo, Gius, Irene, Midena, Giulia, and Midena, Edoardo

Subjects
AQUEOUS humor, PROTEIN microarrays, CELLULAR signal transduction, MOLECULAR interactions, IDIOPATHIC diseases
Abstract

Background: To analyze the concentration of aqueous humor (AH) cytokines in eyes with idiopathic epiretinal membrane (iERM) and to investigate their potential correlation with disease severity. Methods: Retrospective cross-sectional case-control institutional study. A total of 16 eyes of 16 iERM patients and 14 eyes of 14 age-matched healthy controls were enrolled. AH samples were analyzed for various biomarkers using a glass-chip protein array. Cytokines associated with inflammation, fibrosis, angiogenesis, and glial signal transduction were quantified. Results: Significant differences in cytokine concentration were observed between the iERM group and controls, with 19 cytokines elevated in the iERM group (among them IL-6, IL-8, PDGF-AB, PDGF-BB, TGFB-1, TGFB-2, TGFB-3, VEGF A, VEGF C, VEGF D, p < 0,05, 95% confidence interval). Correlation analysis revealed associations between cytokine levels and iERM severity. Notably, stages 2, 3, and 4 of iERM demonstrated increased levels of various biomarkers. Conclusions: This study provides insights into the complex molecular interactions underlying iERM pathogenesis, describing a correlation between neuroinflammation and iERM severity. [ABSTRACT FROM AUTHOR]

Published
2024
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13. A deep learning approach to hard exudates detection and disorganization of retinal inner layers identification on OCT images.

Author

Toto, Lisa, Romano, Anna, Pavan, Marco, Degl'Innocenti, Dante, Olivotto, Valentina, Formenti, Federico, Viggiano, Pasquale, Midena, Edoardo, and Mastropasqua, Rodolfo

Subjects
OPTICAL coherence tomography, DEEP learning, EXUDATES & transudates, DATA scrubbing, MACULAR edema, IMAGE analysis
Abstract

The purpose of the study was to detect Hard Exudates (HE) and classify Disorganization of Retinal Inner Layers (DRIL) implementing a Deep Learning (DL) system on optical coherence tomography (OCT) images of eyes with diabetic macular edema (DME). We collected a dataset composed of 442 OCT images on which we annotated 6847 HE and the presence of DRIL. A complex operational pipeline was defined to implement data cleaning and image transformations, and train two DL models. The state-of-the-art neural network architectures (Yolov7, ConvNeXt, RegNetX) and advanced techniques were exploited to aggregate the results (Ensemble learning, Edge detection) and obtain a final model. The DL approach reached good performance in detecting HE and classifying DRIL. Regarding HE detection the model got an AP@0.5 score equal to 34.4% with Precision of 48.7% and Recall of 43.1%; while for DRIL classification an Accuracy of 91.1% with Sensitivity and Specificity both of 91.1% and AUC and AUPR values equal to 91% were obtained. The P-value was lower than 0.05 and the Kappa coefficient was 0.82. The DL models proved to be able to identify HE and DRIL in eyes with DME with a very good accuracy and all the metrics calculated confirmed the system performance. Our DL approach demonstrated to be a good candidate as a supporting tool for ophthalmologists in OCT images analysis. [ABSTRACT FROM AUTHOR]

Published
2024
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16. Additional measures of macular function beyond visual acuity.

Author

Ríos, Hernán Andrés, Lövestam-Adrian, Monica, Plainis, Sotiris, Tsilimbaris, Miltiadis, Joussen, Antonia M., Keegan, David, Charles, Martin, Cunha-Vaz, José, and Midena, Edoardo

Subjects
VISUAL acuity, VISION, BINOCULAR vision, CONTRAST sensitivity (Vision), VISUAL perception
Abstract

Purpose: Visual function is a complex process in which external visual stimuli are interpreted. Patients with retinal diseases and prolonged follow-up times may experience changes in their visual function that are not detected by the standard visual acuity measure, as they are a result of other alterations in visual function. With the advancement of different methods to evaluate visual function, additional measurements have become available, and further standardization suggests that some methods may be promising for use in clinical trials or routine clinical practice. The objectives of this article are to review these additional measurements and to provide guidance on their application. Methods: The Vision Academy's membership of international retinal disease experts reviewed the literature and developed consensus recommendations for the application of additional measures of visual function in routine clinical practice or clinical trials. Results: Measures such as low-luminance visual acuity, contrast sensitivity, retinal fixation and microperimetry, and reading performance are measures which can complement visual acuity measurements to provide an assessment of overall visual function, including impact on patients' quality of life. Measures such as dark adaptation, color vision testing, binocular vision testing, visual recognition testing, and shape discrimination require further optimization and validation before they can be implemented in everyday clinical practice. Conclusion: Additional measurements of visual function may help identify patients who could benefit from earlier diagnosis, detection of disease progression, and therapeutic intervention. New and additional functional clinical trial endpoints are required to fully understand the early stages of macular disease, its progression, and the response to treatment. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Vision-Related Quality of Life in Patients with Diabetic Macular Edema Treated with Intravitreal Aflibercept: The AQUA Study

Author

Adan, Alfredo, Alexik, Mikulas, Ali, Fareed, Amaro, Miguel, Balciuniene, Vilma-Jurate, Bandello, Francesco M., Arias Barquet, Lluis, Beck, Anna, Bell, Katharina, Boscia, Francesco, Bures, Anniken, Carneiro, Ângela, Chow, David R., Cimbalas, Andrius, Dahlke, Claudia, Deepali, Varma, Dickinson, John D., Dollin, Michael, Eandi, Chiara, Emmerich, Karl-Heinz, Feltgen, Nicolas, Pereira Figueira, João, Findl, Oliver, Gajdošová, Monika, Gale, Richard P., John Galic, Ivan, Garweg, Justus, Gasser-Steiner, Vanessa, Giunta, Michel, Gonder, John R., Grzybowski, Andrzej, Hamouz, Jan, Hattenbach, Lars-Olof, Holz, Frank G., Jesia, Hasan, Kaluzny, Jozef, Kerenyi, Agnes, Kertes, Peter J., Koch, Frank, Kodjikan, Laurent, Lederer, David E., Liehneova, Ivana, Lorenz, Katrin, Lotery, Andrew J., McKibbin, Martin, Menon, Geeta V., Michalewska, Zofia, Midena, Edoardo, Nicolo, Massimo, Papp, Andras, Pavlovičová, Gabriela, Peiretti, Enrico, Vaz-Pereira, Sara, Perri, Paolo, Petropoulos, Ioannis, Queguiner, Frederic, Raczynska, Krystyna, Sararols-Ramsay, Laura, Rękas, Marek, Ricci, Federico, Romanowska-Dixon, Bozena, Sachs, Helmut G., Mohand-Said, Saddek, Sandner, Dirk, Schmidt-Erfurth, Ursula, Sekundo, Walter, Seres, Andras, Sivaprasad, Sobha, Souied, Eric, Castro de Sousa, João, Stankiewicz, Andrzej, Štefaničková, Jana, Struhárová, Katarína, Studnicka, Jan, Cervera Taulet, Enrique, Taylor, Simon, Teper, Slawomir, Vajas, Attila, Cava Valenciano, Carlos, Varsányi, Balázs, Viola, Francesco, Virgili, Gianni, Wagenfeld, Lars, Walters, Gavin, Wiedemann, Peter, Zarnowski, Tomasz, Garweg, Justus G., Stefanickova, Jana, Hoyng, Carel, Schmelter, Thomas, Niesen, Tobias, and Sowade, Olaf

Published
2019
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20. Novel Artificial Intelligence-Based Assessment of Imaging Biomarkers in Full-Thickness Macular Holes: Preliminary Data from a Pivotal Trial.

Author

Mariotti, Cesare, Mangoni, Lorenzo, Iorio, Silvia, Lombardo, Veronica, Fruttini, Daniela, Rizzo, Clara, Chhablani, Jay, Midena, Edoardo, and Lupidi, Marco

Subjects
ARTIFICIAL intelligence, OPTICAL coherence tomography, VITRECTOMY, VISUAL acuity, RETINAL imaging, DEEP learning
Abstract

Artificial intelligence (AI)- and deep learning (DL)-based systems have shown significant progress in the field of macular disorders, demonstrating high performance in detecting retinal fluid and assessing anatomical changes during disease progression. This study aimed to validate an AI algorithm for identifying and quantifying prognostic factors in visual recovery after macular hole (MH) surgery by analyzing major optical coherence tomography (OCT) biomarkers. This study included 20 patients who underwent vitrectomy for a full-thickness macular hole (FTMH). The mean diameter of the FTMH was measured at 285.36 ± 97.4 μm. The preoperative best-corrected visual acuity (BCVA) was 0.76 ± 0.06 logMAR, improving to 0.38 ± 0.16 postoperatively, with a statistically significant difference (p = 0.001). AI software was utilized to assess biomarkers, such as intraretinal fluid (IRF) and subretinal fluid (SRF) volume, external limiting membrane (ELM) and ellipsoid zone (EZ) integrity, and retinal hyperreflective foci (HRF). The AI analysis showed a significant decrease in IRF volume, from 0.08 ± 0.12 mm3 preoperatively to 0.01 ± 0.01 mm3 postoperatively. ELM interruption improved from 79% ± 18% to 34% ± 37% after surgery (p = 0.006), whereas EZ interruption improved from 80% ± 22% to 40% ± 36% (p = 0.007) postoperatively. Additionally, the study revealed a negative correlation between preoperative IRF volume and postoperative BCVA recovery, suggesting that greater preoperative fluid volumes may hinder visual improvement. The integrity of the ELM and EZ was found to be essential for postoperative visual acuity improvement, with their disruption negatively impacting visual recovery. The study highlights the potential of AI in quantifying OCT biomarkers for managing MHs and improving patient care. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Outer Retinal and Choroidal Changes in Adolescents with Long-Lasting Type 1 Diabetes.

Author

Pilotto, Elisabetta, Cosmo, Eleonora, Torresin, Tommaso, Coppola, Marco, Gutierrez De Rubalcava Doblas, Joaquin, Midena, Giulia, Moretti, Carlo, and Midena, Edoardo

Subjects
TYPE 1 diabetes, RHODOPSIN, OPTICAL coherence tomography, INSULIN therapy, DIABETIC retinopathy
Abstract

This study aimed to assess outer retinal layer (ORL), retinal pigment epithelium (RPE), choroid (Ch) and choriocapillaris (CC) modifications in adolescents with long-lasting (>10 years) type 1 diabetes (T1D) without (noDR) or with diabetic retinopathy (DR). ORL and RPE thickness were measured at optical coherence tomography (OCT) macular scans. Vascular parameters of Ch and CC were quantified after elaboration of macular OCT-angiography (OCTA) images. Insulin dose and auxological and metabolic parameters were correlated with OCT and OCTA findings in patients. ORL thickness was higher in DR eyes than in noDR and healthy controls (HC), and RPE thickness was higher in noDR and DR eyes than in HC, with statistical significance for some sectors in noDR versus HC. No OCTA parameters of CC and Ch differed among groups, and no significant correlation was observed with auxological and metabolic parameters. In conclusion, ORL and RPE were both increased in adolescents with long-lasting T1D. Such changes were not associated with insulin dose and glycemia control, nor to any choroid or choriocapillaris flow change clinically detectable at OCTA, and they could be potential imaging biomarkers of disease progression. [ABSTRACT FROM AUTHOR]

Published
2024
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24. Ophthalmological involvement in wild‐type transthyretin amyloidosis: A multimodal imaging study.

Author

Frizziero, Luisa, Salvalaggio, Alessandro, Cosmo, Eleonora, Cipriani, Alberto, Midena, Edoardo, and Briani, Chiara

Subjects
AMYLOID genetics, AMYLOID, PROTEINS, CATARACT, PERIPHERAL neuropathy, BLOOD vessels, GLAUCOMA, NEURONS, AMYLOIDOSIS, MICROSCOPY, EYE abnormalities, RISK assessment, DIAGNOSTIC imaging, EPITHELIUM, OPTICAL coherence tomography, VISUAL acuity, COMPUTED tomography, VISUAL pigments, EYE examination, DISEASE risk factors, DISEASE complications
Abstract

Background and Aims: Ophthalmological abnormalities have been reported in hereditary transthyretin‐related amyloidosis (ATTRv, v for variant) but not in wild‐type transthyretin‐related amyloidosis (ATTRwt). Methods: Patients with ATTRwt, ATTRv, and light chain amyloidosis (AL) and healthy subjects (controls) underwent complete eye examination, including optical coherence tomography (OCT), OCT angiography (OCTA), and in vivo corneal confocal microscopy (CCM). Results: Seventeen ATTRwt, nine ATTRv, two ATTRv carriers, and seven AL patients were enrolled. Compared with other groups, ATTRwt patients had 10 letters lower visual acuity and a higher prevalence of glaucoma, cataract, and retinal pigment epithelium alterations. In the whole group of patients, especially in ATTRwt, we observed (1) a reduced corneal nerve fiber length and more tortuous stromal nerves at CCM, (2) a reduced macular volume and peripapillary nerve fiber layer thickness at OCT, and (3) impairment of peripapillary and macular vascularization at OCTA. Interpretation: Ophthalmological abnormalities are common in ATTRwt, significantly impairing visual acuity. Noninvasive imaging modalities allow for the identification of small nerve fibers and small vessel damage, which may represent further warning signs for early diagnosis of ATTRwt. [ABSTRACT FROM AUTHOR]

Published
2023
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25. The ideal intravitreal injection setting: office, ambulatory surgery room or operating theatre? A narrative review and international survey.

Author

Veritti, Daniele, Sarao, Valentina, Chhablani, Jay, Loewenstein, Anat, Lanzetta, Paolo, Società Italiana della Retina (SIR) Study Group, Bandello, Francesco, Midena, Edoardo, Nicolò, Massimo, Parravano, Mariacristina, Pilotto, Elisabetta, Ricci, Federico, Staurenghi, Giovanni, Virgili, Gianni, Intravitreal Injection Setting Study Group (I2SG), Arnold, Jennifer J., Augustin, Albert J., Creuzot-Garcher, Catherine, Adrian, Monica Lövestam, and Mekjavić, Polona Jaki

Subjects
INTRAVITREAL injections, AMBULATORY surgery, MEDICAL offices, OPERATING rooms, LITERATURE reviews, VASCULAR endothelial growth factors
Abstract

Purpose: This study reviews evidence and provides recommendations for the ideal setting of intravitreal injection (IVI) administration of vascular endothelial growth factor (VEGF) inhibitors. Methods: A multi-step approach was employed, including content analysis of regulations and guidelines, a systematic literature review, and an international survey assessing perioperative complications and endophthalmitis incidence in relation to injection settings. The literature review searched PubMed and Cochrane databases from 2006 to 2022, focusing on studies reporting correlations between complications and treatment settings. The survey utilized a web-based questionnaire distributed to clinical sites and the international ophthalmic community, with data managed using electronic capture tools. Results: We reviewed regulations and guidelines from 23 countries across five continents, finding significant variation in IVI administration settings. In most countries, IVI is primarily administered in outpatient clean rooms (96%) or offices (39%), while in others, it is restricted to ambulatory surgery rooms or hospital-based operating theatres (4%). The literature review found that endophthalmitis risk after IVI is generally low (0.01% to 0.26% per procedure), with no significant difference between office-based and operating room settings. The international survey (20 centers, 96,624 anti-VEGF injections) found low overall incidences of severe perioperative systemic adverse events and endophthalmitis, independent of injection settings. Conclusion: No significant differences in perioperative complications were observed among various settings, including operating theatres, ambulatory surgery rooms, offices, hospitals, or extra-hospital environments. Choosing the appropriate clinical setting can optimize patient management, potentially increasing effectiveness, quality, productivity, and capacity. [ABSTRACT FROM AUTHOR]

Published
2023
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28. Associations with intraocular pressure across Europe: The European Eye Epidemiology (E3) Consortium

Author

Khawaja, Anthony P., Springelkamp, Henriët, Creuzot-Garcher, Catherine, Delcourt, Cécile, Hofman, Albert, Höhn, René, Iglesias, Adriana I., Wolfs, Roger C. W., Korobelnik, Jean-François, Silva, Rufino, Topouzis, Fotis, Williams, Katie M., Bron, Alain M., Buitendijk, Gabriëlle H. S., Cachulo, Maria da Luz, Cougnard-Grégoire, Audrey, Dartigues, Jean-François, Hammond, Christopher J., Pfeiffer, Norbert, Salonikiou, Angeliki, van Duijn, Cornelia M., Vingerling, Johannes R., Luben, Robert N., Mirshahi, Alireza, Lamparter, Julia, Klaver, Caroline C. W., Jansonius, Nomdo M., Foster, Paul J., Acar, Niyazi, Anastosopoulos, Eleftherios, Azuara-Blanco, Augusto, Bergen, Arthur, Bertelsen, Geir, Binquet, Christine, Bird, Alan, Brétillon, Lionel, Bron, Alain, Buitendijk, Gabrielle, Cachulo, Maria Luz, Chakravarthy, Usha, Chan, Michelle, Chang, Petrus, Colijn, Annemarie, Cougnard-Grégoire, Audrey, Creuzot-Garcher, Catherine, Cumberland, Philippa, Cunha-Vaz, José, Daien, Vincent, Deak, Gabor, Delcourt, Cécile, Delyfer, Marie-Noëlle, Hollander, Anneke den, Dietzel, Martha, Erke, Maja Gran, Fauser, Sascha, Finger, Robert, Fletcher, Astrid, Foster, Paul, Founti, Panayiota, Göbel, Arno, Gorgels, Theo, Grauslund, Jakob, Grus, Franz, Hammond, Christopher, Helmer, Catherine, Hense, Hans-Werner, Hermann, Manuel, Hoehn, René, Hogg, Ruth, Holz, Frank, Hoyng, Carel, Jansonius, Nomdo, Janssen, Sarah, Khawaja, Anthony, Klaver, Caroline, Korobelnik, Jean-François, Lamparter, Julia, Le Goff, Mélanie, Leal, Sergio, Lechanteur, Yara, Lehtimäki, Terho, Lotery, Andrew, Leung, Irene, Mauschitz, Matthias, Merle, Bénédicte, Meyer zu Westrup, Verena, Midena, Edoardo, Miotto, Stefania, Mirshahi, Alireza, Mohan-Saïd, Sadek, Muldrew, Alyson, Mueller, Michael, Nunes, Sandrina, Oexle, Konrad, Peto, Tunde, Piermarocchi, Stefano, Prokofyeva, Elena, Rahi, Jugnoo, Raitakari, Olli, Ribeiro, Luisa, Rougier, Marie-Bénédicte, Sahel, José, Salonikiou, Aggeliki, Sanchez, Clarisa, Schmitz-Valckenberg, Steffen, Schweitzer, Cédric, Segato, Tatiana, Shehata, Jasmin, Silva, Rufino, Silvestri, Giuliana, Simader, Christian, Souied, Eric, Springelkamp, Henriet, Tapp, Robyn, Topouzis, Fotis, Verhoeven, Virginie, Von Hanno, Therese, Vujosevic, Stela, Williams, Katie, Wolfram, Christian, Yip, Jennifer, Zerbib, Jennyfer, Zwiener, Isabella, and On behalf of the European Eye Epidemiology (E³) Consortium

Published
2016
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31. The Disorganization of Retinal Inner Layers Is Correlated to Müller Cells Impairment in Diabetic Macular Edema: An Imaging and Omics Study.

Author

Midena, Edoardo, Torresin, Tommaso, Schiavon, Stefano, Danieli, Luca, Polo, Chiara, Pilotto, Elisabetta, Midena, Giulia, and Frizziero, Luisa

Subjects
*AQUEOUS humor, *MACULAR edema, *GLIAL fibrillary acidic protein, *OPTICAL coherence tomography, *VISION, *RETINAL imaging
Abstract

The disorganization of retinal inner layers (DRIL) is an optical coherence tomography (OCT) biomarker strictly associated with visual outcomes in patients with diabetic macular edema (DME) whose pathophysiology is still unclear. The aim of this study was to characterize in vivo, using retinal imaging and liquid biopsy, DRIL in eyes with DME. This was an observational cross-sectional study. Patients affected by center-involved DME were enrolled. All patients underwent spectral domain optical coherence tomography (SD-OCT) and proteomic analysis of aqueous humor (AH). The presence of DRIL at OCT was analyzed by two masked retinal experts. Fifty-seven biochemical biomarkers were analyzed from AH samples. Nineteen eyes of nineteen DME patients were enrolled. DRIL was present in 10 patients (52.63%). No statistically significant difference was found between DME eyes with and without DRIL, considering the AH concentration of all the analyzed biomarkers except for glial fibrillary acidic protein (GFAP), a biomarker of Müller cells dysfunction (p = 0.02). In conclusion, DRIL, in DME eyes, seems to strictly depend on a major dysfunction of Müller cells, explaining its role not only as imaging biomarker, but also as visual function Müller cells-related parameter. [ABSTRACT FROM AUTHOR]

Published
2023
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37. Validation of an Automated Artificial Intelligence Algorithm for the Quantification of Major OCT Parameters in Diabetic Macular Edema.

Author

Midena, Edoardo, Toto, Lisa, Frizziero, Luisa, Covello, Giuseppe, Torresin, Tommaso, Midena, Giulia, Danieli, Luca, Pilotto, Elisabetta, Figus, Michele, Mariotti, Cesare, and Lupidi, Marco

Subjects
*MACULAR edema, *ARTIFICIAL intelligence, *OPTICAL coherence tomography, *INTRACLASS correlation, *ALGORITHMS
Abstract

Artificial intelligence (AI) and deep learning (DL)-based systems have gained wide interest in macular disorders, including diabetic macular edema (DME). This paper aims to validate an AI algorithm for identifying and quantifying different major optical coherence tomography (OCT) biomarkers in DME eyes by comparing the algorithm to human expert manual examination. Intraretinal (IRF) and subretinal fluid (SRF) detection and volumes, external limiting-membrane (ELM) and ellipsoid zone (EZ) integrity, and hyperreflective retina foci (HRF) quantification were analyzed. Three-hundred three DME eyes were included. The mean central subfield thickness was 386.5 ± 130.2 µm. IRF was present in all eyes and confirmed by AI software. The agreement (kappa value) (95% confidence interval) for SRF presence and ELM and EZ interruption were 0.831 (0.738–0.924), 0.934 (0.886–0.982), and 0.936 (0.894–0.977), respectively. The accuracy of the automatic quantification of IRF, SRF, ELM, and EZ ranged between 94.7% and 95.7%, while accuracy of quality parameters ranged between 99.0% (OCT layer segmentation) and 100.0% (fovea centering). The Intraclass Correlation Coefficient between clinical and automated HRF count was excellent (0.97). This AI algorithm provides a reliable and reproducible assessment of the most relevant OCT biomarkers in DME. It may allow clinicians to routinely identify and quantify these parameters, offering an objective way of diagnosing and following DME eyes. [ABSTRACT FROM AUTHOR]

Published
2023
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44. Corneal Confocal Microscopy as a Quantitative Imaging Biomarker of Diabetic Peripheral Neuropathy: A Review.

Author

Cosmo, Eleonora, Midena, Giulia, Frizziero, Luisa, Bruno, Marisa, Cecere, Michela, and Midena, Edoardo

Subjects
DIABETIC neuropathies, CONFOCAL microscopy, STEREOLOGY, PERIPHERAL nervous system, CORNEA
Abstract

Distal symmetric polyneuropathy (DPN), particularly chronic sensorimotor DPN, represents one of the most frequent complications of diabetes, affecting 50% of diabetic patients and causing an enormous financial burden. Whilst diagnostic methods exist to detect and monitor this condition, they have significant limitations, mainly due to their high subjectivity, invasiveness, and non-repeatability. Corneal confocal microscopy (CCM) is an in vivo, non-invasive, and reproducible diagnostic technique for the study of all corneal layers including the sub-basal nerve plexus, which represents part of the peripheral nervous system. We reviewed the current literature on the use of CCM as an instrument in the assessment of diabetic patients, particularly focusing on its role in the study of sub-basal nerve plexus alterations as a marker of DPN. CCM has been demonstrated to be a valid in vivo tool to detect early sub-basal nerve plexus damage in adult and pediatric diabetic patients, correlating with the severity of DPN. Despite its great potential, CCM has still limited application in daily clinical practice, and more efforts still need to be made to allow the dissemination of this technique among doctors taking care of diabetic patients. [ABSTRACT FROM AUTHOR]

Published
2022
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45. Novel approaches to the assessment and treatment of lamellar macular hole.

Author

Frisina, Rino, Tozzi, Luigi, Gius, Irene, Pilotto, Elisabetta, and Midena, Edoardo

Subjects
PERIMETRY, BIOFLUORESCENCE, VISUAL acuity, OPTICAL coherence tomography
Abstract

Purpose: To analyse morpho‐functional foveal changes in eyes with lamellar macular hole (LMH) by an integrated assessment of short‐wavelength fundus autofluorescence (SW‐FAF) and microperimetry (SW‐FAF/microperimetry integrated assessment) before and after treatment with a technique of double‐inverted flaps of epiretinal proliferation (EP) and internal limiting membrane (ILM). Methods: Clinical and tomographic parameters were best‐corrected visual acuity (BCVA), LMH size, central retinal thickness (CRT) and outer retinal layer integrity. SW‐FAF/microperimetry integrated assessment allowed to analyse retinal sensitivity (RS) and FAF status of the fovea by an overlay of RS map on SW‐FAF image. Follow‐up was at baseline, 1, 3, 6 and 12 postoperative months. Results: Forty pseudophakic eyes. Hyper‐FAF area was associated with larger LMH size (p = 0.0073) and inversely correlated with CRT (p = 0.021). Lower preoperative RS was observed in hyper‐FAF than normo‐FAF areas (p = 0.0117). External limiting membrane (ELM) defect was associated with worse BCVA (p = 0.0004). After surgery, BCVA improved (p = 0.001) and it was related to ELM recovery (p = 0.00483), hyper‐FAF area decreased (p = 0.001), and RS increased (p = 0.440). Hyper‐FAF points that normalized their FAF were associated with higher RS improvement compared to unchanged points. Conclusion: Short‐wavelength fundus autofluorescence/microperimetry integrated assessment provides important information on the entity of damage of LMH and on postoperative recovery. Double‐inverted EP and ILM flap technique is safe and effective for LMH treatment. [ABSTRACT FROM AUTHOR]

Published
2022
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46. Hyper-reflective retinal foci as possible in vivo imaging biomarker of microglia activation in von Hippel-Lindau disease.

Author

Pilotto, Elisabetta, Torresin, Tommaso, Bacelle, Maria Laura, De Mojà, Gilda, Ferrara, Alfonso Massimiliano, Zovato, Stefania, Midena, Giulia, and Midena, Edoardo

Subjects
VON Hippel-Lindau disease, RETINAL imaging, MICROGLIA, OPTICAL coherence tomography, BIOMARKERS, RETINA, CELLULAR signal transduction
Abstract

Purpose: von Hippel-Lindau (VHL) disease is caused by a mutation of the VHL gene and characterized by the development of retinal hemangioblastomas (RH). Current pathophysiologic mechanisms of RH development and progression are still insufficient to predict RH behavior. VHL gene is involved in the cellular response to hypoxia and in many intracellular signaling pathways expressed both in angiogenesis and inflammation. Optical coherence tomography (OCT) allows to identify hyper-reflective retinal foci (HRF) known as aggregates of activated microglial cells as possible in vivo biomarker of local inflammation. The aim of the present study was to investigate the presence of HRF in patients with genetically confirmed VHL disease. Methods: In this cross-sectional study, patients with VHL underwent complete ophthalmological examination and OCT with HRA + OCT Spectralis. HRF were manually identified and calculated in inner (IR), outer (OR) and full retina. Age-matched healthy subjects were enrolled as controls. Results: 113 eyes of 63 VHL patients and 56 eyes of 28 healthy subjects were evaluated. HRF number was significantly higher in VHL than in controls in IR (28.06 ± 7.50 vs 25.25 ± 6.64, p = 0.042). No difference was observed in OR and in full retina (OR: 7.73 ± 2.59 vs 7.95 ± 2.51, p = 0.599; full retina: 35.79 ± 8.77 vs 33.20 ± 7.47, p = 0.093). Conclusion: The increase of HRF, which mirror retinal microglial activation, characterizes VHL eyes. The role of activated microglia in the retina of VHL eyes needs to be better investigated, mainly considering local VHL disease manifestations. [ABSTRACT FROM AUTHOR]

Published
2022
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48. Retinal Microvascular and Neuronal Changes Are Also Present, Even If Differently, in Adolescents with Type 1 Diabetes without Clinical Diabetic Retinopathy.

Author

Pilotto, Elisabetta, Torresin, Tommaso, Leonardi, Francesca, Gutierrez De Rubalcava Doblas, Joaquin, Midena, Giulia, Moretti, Carlo, and Midena, Edoardo

Subjects
DIABETIC retinopathy, TYPE 1 diabetes, OPTICAL coherence tomography, GLYCEMIC index, TEENAGERS, NERVE fibers
Abstract

The purpose of this study was to evaluate retinal changes in adolescents with childhood-onset, long-lasting type 1 diabetes mellitus (T1D). Patients and healthy controls (HC) underwent optical coherence tomography (OCT) and OCT-angiography (OCTA). Individual macular layers, peripapillary retinal nerve fiber layer (pRNFL), and vascular parameters (vessel area density (VAD), vessel length fraction (VLF) and vessel diameter index (VDI)) of macular superficial vascular (SVP), intermediate (ICP), deep (DCP) and radial peripapillary capillary plexuses (RPCP) were quantified. Thirty-nine patients (5 with (DR group) and 34 without (noDR group) diabetic retinopathy) and 20 HC were enrolled. The pRNFL and ganglion cell layer (GCL) were thicker in noDR compared to HC and DR, reaching statistically significant values versus HC for some sectors. At the macular level, VAD and VLF were reduced in DR versus HC in all plexuses, and versus noDR in SVP (p < 0.005 for all). At the RPCP level, VAD and VDI were increased in noDR versus HC, significantly for VDI (p = 0.0067). Glycemic indices correlated to retinal parameters. In conclusion, in T1D adolescents, retinal capillary and neuronal changes are present after long-lasting disease, even in the absence of clinical DR. These changes modify when clinical retinopathy develops. The precocious identification of specific OCT and OCTA changes may be a hallmark of subsequent overt retinopathy. [ABSTRACT FROM AUTHOR]

Published
2022
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