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1

STAURENGHI, G. "Geographic atrophy." Acta Ophthalmologica 90 (August 6, 2012): 0. http://dx.doi.org/10.1111/j.1755-3768.2012.4212.x.

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2

Holz, Frank G., Erich C. Strauss, Steffen Schmitz-Valckenberg, and Menno van Lookeren Campagne. "Geographic Atrophy." Ophthalmology 121, no. 5 (May 2014): 1079–91. http://dx.doi.org/10.1016/j.ophtha.2013.11.023.

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3

Sheikh, Ahmed Bilal, Andrew Lee, Adnan Mallick, and Ronni M. Lieberman. "Geographic Atrophy." Advances in Ophthalmology and Optometry 3, no. 1 (August 2018): 205–15. http://dx.doi.org/10.1016/j.yaoo.2018.04.011.

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Schmitz-Valckenberg, Steffen, Srinivas Sadda, Giovanni Staurenghi, Emily Y. Chew, Monika Fleckenstein, and Frank G. Holz. "GEOGRAPHIC ATROPHY." Retina 36, no. 12 (December 2016): 2250–64. http://dx.doi.org/10.1097/iae.0000000000001258.

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5

Bird, Alan C., Rachel L. Phillips, and Gregory S. Hageman. "Geographic Atrophy." JAMA Ophthalmology 132, no. 3 (March 1, 2014): 338. http://dx.doi.org/10.1001/jamaophthalmol.2013.5799.

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Takahashi, Ayako, Sotaro Ooto, Kenji Yamashiro, Hiroshi Tamura, Akio Oishi, Manabu Miyata, Masayuki Hata, Munemitsu Yoshikawa, Nagahisa Yoshimura, and Akitaka Tsujikawa. "Pachychoroid Geographic Atrophy." Ophthalmology Retina 2, no. 4 (April 2018): 295–305. http://dx.doi.org/10.1016/j.oret.2017.08.016.

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7

Guymer, Robyn H. "Geographic Atrophy Trials." Ophthalmology Retina 2, no. 6 (June 2018): 515–17. http://dx.doi.org/10.1016/j.oret.2018.03.004.

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8

Ergun, Erdem, Michael Stur, and Wolfgang Drexler. "Geographic Atrophy Margins." Ophthalmology 117, no. 5 (May 2010): 1051. http://dx.doi.org/10.1016/j.ophtha.2010.01.013.

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9

Neroev, Vladimir V., Marina V. Zueva, Natalia V. Neroeva, Ludmila A. Katargina, Oksana A. Losanova, Marina V. Ryabina, and Irina V. Tsapenko. "Clinical and Functional Characteristics of Secondary Geographic Atrophy Against the Background of Exudative Age-Related Macular Degeneration." Annals of the Russian academy of medical sciences 76, no. 4 (October 22, 2021): 384–93. http://dx.doi.org/10.15690/vramn1557.

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Background.Studies demonstrate the need for long-term follow-up of patients with wet age-related macular degeneration (AMD) treated with inhibitors of angiogenesis to monitor long-term vision outcomes and assess the safety of antiangiogenic therapy in relation to the risk of secondary geographic atrophy. Aims to determine the characteristic clinical and functional signs of secondary GA that developed against the background of wet AMD. Methods.In 22 patients (25 eyes) with wet AMD and 18 healthy subjects comparable in age and sex standard ophthalmological and instrumental studies were performed and photopic electroretinograms (ERGs) were recorded according to ISCEV standards, flicker-ERGs, multifocal ERGs and electrooculogram. Results.The appearance of the area of secondary atrophy against the background of wet AMD in eyes treated with inhibitors of angiogenesis is clinically indistinguishable from areas of geographic atrophy that developed as an outcome of dry AMD. The ERG-signs of secondary atrophy are described, which are similar to the biomarkers of primary atrophy and specifically differ from them. Secondary atrophy is characterized by the dependence of the increase in the b/a ratio on the atrophic area, reducing of the 8.3 Hz-flicker-ERG amplitude in the absence of 24 Hz-flicker ERG changes. In eyes with secondary atrophy, a significant decrease in the density of the multifocal ERG P1-peak was shown not only in the first hexagon but also in the parafoveal zone. The electrooculography results showed a sharper dark troughs decrease in with an increase in Ardens ratio in patients with secondary atrophya on the background of wet AMD, in contrast to the previously described changes in primary geographic atrophy. Conclusion.Comparison of the change in the b/a ratio with secondary atrophy area in patients with wet AMD may have clinical implications for assessing retinal dysfunction and predicting visual function. Secondary atrophy is associated with a pronounced inhibition of photoreceptor activity with better preservation of cone bipolar cells. The ERG and electrooculography data taking together indicate a more significant dysfunction of the retinal pigment epithelium in GA against the background of wet AMD and the associated deterioration of photoreceptor function than the changes characterizing primary geographic atrophy.
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10

Sadda, SriniVas R., and David Sarraf. "Therapeutic Margin for Geographic Atrophy." JAMA Ophthalmology 139, no. 7 (July 1, 2021): 751. http://dx.doi.org/10.1001/jamaophthalmol.2021.1414.

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11

Fadel, AlaaM. "Geographic atrophy of the macula." Delta Journal of Ophthalmology 16, no. 2 (2015): 103. http://dx.doi.org/10.4103/1110-9173.165061.

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12

Smith, R. Theodore. "Geographic Atrophy and Cardiovascular Disease." Investigative Opthalmology & Visual Science 55, no. 10 (October 8, 2014): 6262. http://dx.doi.org/10.1167/iovs.14-15387.

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13

Mogk, Lylas G., Mary Lou Jackson, and David Dahl. "Geographic Atrophy and Visual Function." Ophthalmology 119, no. 4 (April 2012): 885–885. http://dx.doi.org/10.1016/j.ophtha.2011.09.052.

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14

Sohn, Elliott H., Miles J. Flamme-Wiese, S. Scott Whitmore, Grefachew Workalemahu, Alexander G. Marneros, Erin A. Boese, Young H. Kwon, et al. "Choriocapillaris Degeneration in Geographic Atrophy." American Journal of Pathology 189, no. 7 (July 2019): 1473–80. http://dx.doi.org/10.1016/j.ajpath.2019.04.005.

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15

BIRD, A. "Cell loss in geographic atrophy." Acta Ophthalmologica 88 (September 2010): 0. http://dx.doi.org/10.1111/j.1755-3768.2010.460.x.

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16

Abdillahi, Hannan, Volker Enzmann, Valéry V. Wittwer, Sebastian Wolf, and Ute E. K. Wolf-Schnurrbusch. "Vitreoretinal Interface Changes in Geographic Atrophy." Ophthalmology 121, no. 9 (September 2014): 1734–39. http://dx.doi.org/10.1016/j.ophtha.2014.03.036.

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17

Joachim, Nichole, Paul Mitchell, Annette Kifley, Elena Rochtchina, Thomas Hong, and Jie Jin Wang. "Incidence and Progression of Geographic Atrophy." Ophthalmology 120, no. 10 (October 2013): 2042–50. http://dx.doi.org/10.1016/j.ophtha.2013.03.029.

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18

Sastre-Ibáñez, M., A. Barreiro-González, R. Gallego-Pinazo, R. Dolz-Marco, and B. García-Armendariz. "Geographic atrophy: Etiopathogenesis and current therapies." Archivos de la Sociedad Española de Oftalmología (English Edition) 93, no. 1 (January 2018): 22–34. http://dx.doi.org/10.1016/j.oftale.2017.10.003.

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19

Schoenberger, Scott D., and Anita Agarwal. "Geographic Chorioretinal Atrophy in Pseudoxanthoma Elasticum." American Journal of Ophthalmology 156, no. 4 (October 2013): 715–23. http://dx.doi.org/10.1016/j.ajo.2013.05.034.

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20

Mcbain, Vikki A., Reena Kumari, John Townend, and Noemi Lois. "GEOGRAPHIC ATROPHY IN RETINAL ANGIOMATOUS PROLIFERATION." Retina 31, no. 6 (June 2011): 1043–52. http://dx.doi.org/10.1097/iae.0b013e3181fe54c7.

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21

Gocho, K., V. Sarda, S. Falah, J. A. Sahel, F. Sennlaub, M. Benchaboune, M. Ullern, and M. Paques. "Adaptive Optics Imaging of Geographic Atrophy." Investigative Ophthalmology & Visual Science 54, no. 5 (April 25, 2013): 3673–80. http://dx.doi.org/10.1167/iovs.12-10672.

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22

Corbelli, Eleonora, Riccardo Sacconi, Luigi Antonio De Vitis, Adriano Carnevali, Alessandro Rabiolo, Lea Querques, Francesco Bandello, and Giuseppe Querques. "Choroidal Round Hyporeflectivities in Geographic Atrophy." PLOS ONE 11, no. 11 (November 23, 2016): e0166968. http://dx.doi.org/10.1371/journal.pone.0166968.

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23

Schmitz-Valckenberg, Steffen, José-Alain Sahel, Ronald Danis, Monika Fleckenstein, Glenn J. Jaffe, Sebastian Wolf, Christian Pruente, and Frank G. Holz. "Natural History of Geographic Atrophy Progression Secondary to Age-Related Macular Degeneration (Geographic Atrophy Progression Study)." Ophthalmology 123, no. 2 (February 2016): 361–68. http://dx.doi.org/10.1016/j.ophtha.2015.09.036.

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24

Monés, Jordi, and Marc Biarnés. "Geographic atrophy phenotype identification by cluster analysis." British Journal of Ophthalmology 102, no. 3 (July 20, 2017): 388–92. http://dx.doi.org/10.1136/bjophthalmol-2017-310268.

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Background/aimsTo identify ocular phenotypes in patients with geographic atrophy secondary to age-related macular degeneration (GA) using a data-driven cluster analysis.MethodsThis was a retrospective analysis of data from a prospective, natural history study of patients with GA who were followed for ≥6 months. Cluster analysis was used to identify subgroups within the population based on the presence of several phenotypic features: soft drusen, reticular pseudodrusen (RPD), primary foveal atrophy, increased fundus autofluorescence (FAF), greyish FAF appearance and subfoveal choroidal thickness (SFCT). A comparison of features between the subgroups was conducted, and a qualitative description of the new phenotypes was proposed. The atrophy growth rate between phenotypes was then compared.ResultsData were analysed from 77 eyes of 77 patients with GA. Cluster analysis identified three groups: phenotype 1 was characterised by high soft drusen load, foveal atrophy and slow growth; phenotype 3 showed high RPD load, extrafoveal and greyish FAF appearance and thin SFCT; the characteristics of phenotype 2 were midway between phenotypes 1 and 3. Phenotypes differed in all measured features (p≤0.013), with decreases in the presence of soft drusen, foveal atrophy and SFCT seen from phenotypes 1 to 3 and corresponding increases in high RPD load, high FAF and greyish FAF appearance. Atrophy growth rate differed between phenotypes 1, 2 and 3 (0.63, 1.91 and 1.73 mm2/year, respectively, p=0.0005).ConclusionCluster analysis identified three distinct phenotypes in GA. One of them showed a particularly slow growth pattern.
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25

Ewing, Tyler M., Hannah Khan, Adam LC Wadsworth, Jordyn Vannavong, and Arshad M. Khanani. "Update on Avacincaptad Pegol for Geographic Atrophy." US Ophthalmic Review 16, no. 1 (2022): 36. http://dx.doi.org/10.17925/usor.2022.16.1.36.

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Geographic atrophy (GA) secondary to age-related macular degeneration is the leading cause of permanent vision loss in patients over the age of 50 in developed countries. GA is characterized by the atrophy of retinal pigment epithelium and photoreceptors and can lead to central or peripheral vision loss, depending on the location of the atrophy. Currently, there are no US Food and Drug Administration-approved treatments for GA. Avacincaptad pegol (Zimura®; IVERIC Bio Inc, New York, NY, USA) is a C5-specific inhibitor that is being investigated as a potential treatment for GA. C5 is a key protein within the complement system, which maintains retina integrity and health under normal conditions. It is hypothesized that unregulated activation of the complement system (indicated by elevated levels of active proteins such as the membrane attack complex) can exacerbate the progression of GA. This article reviews the latest data regarding avacincaptad pegol as an investigational therapeutic for GA.
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26

Patel, Hershel R., and David Eichenbaum. "Geographic atrophy: clinical impact and emerging treatments." Ophthalmic Surgery, Lasers and Imaging Retina 46, no. 1 (January 1, 2015): 8–13. http://dx.doi.org/10.3928/23258160-20150101-01.

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27

Farci, Roberta, Arturo Carta, Paolo Fogagnolo, Luca Mario Rossetti, and Maurizio Fossarello. "Compass Fundus-Guided Perimetry in Geographic Atrophy." Journal of Ophthalmology 2022 (September 10, 2022): 1–7. http://dx.doi.org/10.1155/2022/1315588.

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Purpose. To evaluate compass (CMP), a recently introduced device that combines scanning ophthalmoscopy, automated perimetry, and eye tracking, for fundus-guided perimetry (microperimetry) with the purpose of correlating perimetric retinal sensitivity (PRS) and retinal geographic atrophy (GA) features. Materials and Methods. A retrospective, cross-sectional study was performed in 56 eyes of 43 patients affected by GA. All patients underwent compass 10-2 perimetry, consisting of a full-threshold visual field on fundus photography and an infrared (IR) image of the central 30° of the retina. Data were exported to an Excel sheet. Binarization with black/white (B/W) variables was applied on the compass photo fundus and matched with visual field scores. Patients underwent autofluorescence (AF) and IR images (Heidelberg, Germany): CMP and Heidelberg IR images were homologated by using GIMP software (https://www.gimp.org), and then atrophic areas were manually measured with the ImageJ program. CMP perimetric grid was overlapped with AF and IR pictures by using GIMP, obtaining composite TIFF images, which were then analyzed with the ImageJ greyscale score (GSS) tool. A hyperautofluorescent halo was identified on the GA edges of some patients. Pearson’s correlation between GA size on IR compass and IR Heidelberg and between GSS and PRS values has been calculated; the independent t-test was realized to calculate the correlation between GSS and B/W variables identified on the CMP photo fundus. The Spearman correlation between total deviation and pattern deviation was calculated. Results. The AUC-ROC score between CMP scores and B/W variables was 93,4%. The Spearman correlation between total deviation and pattern deviation was highly significant ( p = 0,00 ). The correlation between AF GSS values and PRS was significant ( p value = 0,00), the correlation between GSS of hyperautofluorescent points and PRS was significant ( p value = 0,00), and the correlation between IR GSS and PRS was significant ( p value = 0,00). The correlation between AF GSS and B/W variables was significant ( p value = 0,002), the correlation between hyperautofluorescent points and B/W was not significant ( p value = 0,40), and the correlation between IR GSS and B/W was significant ( p = 0,00 ). Conclusions. Based on our preliminary results, compass seems to be a reliable, quick, and safe device for the anatomical and functional study of GA. The direct visualization of the visual field on the fundus photography as a background allows a precise assessment and clinical monitoring of this disease.
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28

Choudhry, Netan, Andrea Giani, and Joan W. Miller. "Fundus Autofluorescence in Geographic Atrophy: A Review." Seminars in Ophthalmology 25, no. 5-6 (November 2010): 206–13. http://dx.doi.org/10.3109/08820538.2010.518121.

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29

McLeod, D. Scott, Imran Bhutto, Malia M. Edwards, Manasee Gedam, Rajkumar Baldeosingh, and Gerard A. Lutty. "Mast Cell-Derived Tryptase in Geographic Atrophy." Investigative Opthalmology & Visual Science 58, no. 13 (November 21, 2017): 5887. http://dx.doi.org/10.1167/iovs.17-22989.

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30

Querques, Giuseppe, Vittorio Capuano, Pietro Frascio, Sandrine Zweifel, Anouk Georges, and Eric H. Souied. "WEDGE-SHAPED SUBRETINAL HYPOREFLECTIVITY IN GEOGRAPHIC ATROPHY." Retina 35, no. 9 (September 2015): 1735–42. http://dx.doi.org/10.1097/iae.0000000000000553.

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31

HOLZ, F., S. SCHMITZ-VALCKENBERG, and M. FLECKENSTEIN. "Sparing of the fovea in geographic atrophy." Acta Ophthalmologica 90 (August 6, 2012): 0. http://dx.doi.org/10.1111/j.1755-3768.2012.3227.x.

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32

Fleckenstein, Monika, Steffen Schmitz-Valckenberg, and Frank G. Holz. "Author Response: Geographic Atrophy and Cardiovascular Disease." Investigative Opthalmology & Visual Science 55, no. 10 (October 8, 2014): 6263. http://dx.doi.org/10.1167/iovs.14-15598.

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33

Gensler, Gary, Traci E. Clemons, Amitha Domalpally, Ronald P. Danis, Barbara Blodi, Jack Wells, Michael Rauser, et al. "Treatment of Geographic Atrophy with Intravitreal Sirolimus." Ophthalmology Retina 2, no. 5 (May 2018): 441–50. http://dx.doi.org/10.1016/j.oret.2017.08.015.

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34

Smiddy, William E. "Geographic Atrophy: How to Count the Costs?" Ophthalmology Retina 3, no. 11 (November 2019): 927–28. http://dx.doi.org/10.1016/j.oret.2019.07.013.

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35

Heier, Jeffrey S., Dante Pieramici, Usha Chakravarthy, Sunil S. Patel, Sunil Gupta, Andrew Lotery, Eleonora M. Lad, et al. "Visual Function Decline Resulting from Geographic Atrophy." Ophthalmology Retina 4, no. 7 (July 2020): 673–88. http://dx.doi.org/10.1016/j.oret.2020.01.019.

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36

Maguire, Paul, and Andrew K. Vine. "Geographic Atrophy of the Retinal Pigment Epithelium." American Journal of Ophthalmology 102, no. 5 (November 1986): 621–25. http://dx.doi.org/10.1016/0002-9394(86)90535-0.

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37

Cohen, Salomon Y., Lise Dubois, Sylvia Nghiem-Buffet, Sandrine Ayrault, Franck Fajnkuchen, Brigitte Guiberteau, Corinne Delahaye-Mazza, Gabriel Quentel, and Ramin Tadayoni. "Retinal Pseudocysts in Age-Related Geographic Atrophy." American Journal of Ophthalmology 150, no. 2 (August 2010): 211–17. http://dx.doi.org/10.1016/j.ajo.2010.02.019.

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38

Thompson, Cheryl L., Gyungah Jun, Barbara E. K. Klein, Ronald Klein, Jennifer Capriotti, Kristine E. Lee, and Sudha K. Iyengar. "Genetics of Pigment Changes and Geographic Atrophy." Investigative Opthalmology & Visual Science 48, no. 7 (July 1, 2007): 3005. http://dx.doi.org/10.1167/iovs.06-1325.

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39

Sivaprasad, Sobha, Elizabeth A. Tschosik, Robyn H. Guymer, Audrey Kapre, Ivan J. Suñer, Antonia M. Joussen, Paolo Lanzetta, and Daniela Ferrara. "Living with Geographic Atrophy: An Ethnographic Study." Ophthalmology and Therapy 8, no. 1 (January 31, 2019): 115–24. http://dx.doi.org/10.1007/s40123-019-0160-3.

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40

Nassisi, Marco, Yue Shi, Wenying Fan, Enrico Borrelli, Akihito Uji, Michael S. Ip, and Srinivas R. Sadda. "Choriocapillaris impairment around the atrophic lesions in patients with geographic atrophy: a swept-source optical coherence tomography angiography study." British Journal of Ophthalmology 103, no. 7 (August 21, 2018): 911–17. http://dx.doi.org/10.1136/bjophthalmol-2018-312643.

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AimsTo evaluate the choriocapillaris (CC) flow alterations around geographic atrophy (GA) in eyes with dry age-related macular degeneration.MethodsUsing a swept-source optical coherence tomography angiography (SS-OCTA) device, two volume 6×6 mm scans were acquired in patients with GA presenting between June and December 2017 at the Doheny-UCLA Eye Centers. The area of GA was delineated on the en face structural OCT fundus images. For each eye, the en face OCTA slabs at the level of the CC from the two acquisitions were averaged and compensated for signal loss using the corresponding structural en face images. The resulting images were binarised and analysed for the percentage of flow voids in the para-atrophy zone (a 500 µm wide ring around the immediate edge of the atrophy) and in the peri-atrophy zone (a 500 µm wide ring around the para-atrophy zone edge), the latter considered as a reference in the comparative analysis.ResultsThirty eyes of 20 patients were enrolled. The percentage of flow voids in the para-atrophy zone was 27.23%±6.29% and was significantly higher than in the surrounding peri-atrophy zone (23.4%±6.01%; p<0.001). There was no significant correlation between the flow void percentage in these regions and age, visual acuity, extent of the atrophic area or central choroidal thickness.ConclusionsA significant impairment of the CC flow is present in the zone immediately surrounding the GA lesions strengthening the hypothesis that CC alterations may be relevant to the progression of GA.
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41

Ayachit, MS, FVRS, Apoorva, Farhat Fatima, MS, and Guruprasad Ayachit, MS, FVRS. "Japanese Fan Hypoautofluorescence in Diffuse Trickling Geographic Atrophy." Ophthalmology Retina 5, no. 6 (June 2021): 570. http://dx.doi.org/10.1016/j.oret.2021.03.001.

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42

Csaky, Karl G. "Gene Therapy in the Treatment of Geographic Atrophy." International Ophthalmology Clinics 61, no. 4 (2021): 241–47. http://dx.doi.org/10.1097/iio.0000000000000387.

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43

Desai, Dhaval, and Pravin U. Dugel. "Complement cascade inhibition in geographic atrophy: a review." Eye 36, no. 2 (January 9, 2022): 294–302. http://dx.doi.org/10.1038/s41433-021-01765-x.

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AbstractThe pathophysiology of dry age-related macular degeneration (AMD) and specifically geographic atrophy (GA) has been linked to the complement cascade. This cascade is part of the innate immune system and is made up of the classical, alternative, and lectin pathways. The pathways comprise a system of plasma and membrane-associated serum proteins that are activated with identification of a nonself entity. A number of these proteins have been implicated in the development and progression of dry AMD. The three pathways converge at C3 and cascade down through C5, making both of these proteins viable targets for the treatment of dry AMD. In addition, there are a number of complement factors, CFB, CFD, CFH, and CFI, which are potential therapeutic targets as well. Several different complement-directed therapeutics are being studied for the treatment of dry AMD with the hope that one of these approaches will emerge as the first approved treatment for GA.
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44

Ogura, Shuntaro, Rajkumar Baldeosingh, Imran A. Bhutto, Siva P. Kambhampati, Donald Scott McLeod, Malia M. Edwards, Rana Rais, William Schubert, and Gerard A. Lutty. "A role for mast cells in geographic atrophy." FASEB Journal 34, no. 8 (June 11, 2020): 10117–31. http://dx.doi.org/10.1096/fj.202000807r.

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45

Chaikitmongkol, Voraporn, Mongkol Tadarati, and Neil M. Bressler. "Recent approaches to evaluating and monitoring geographic atrophy." Current Opinion in Ophthalmology 27, no. 3 (May 2016): 217–23. http://dx.doi.org/10.1097/icu.0000000000000259.

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46

Edwards, Malia M., D. Scott McLeod, Imran A. Bhutto, Rhonda Grebe, Maeve Duffy, and Gerard A. Lutty. "Subretinal Glial Membranes in Eyes With Geographic Atrophy." Investigative Opthalmology & Visual Science 58, no. 3 (March 1, 2017): 1352. http://dx.doi.org/10.1167/iovs.16-21229.

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47

Göbel, Arno P., Monika Fleckenstein, Steffen Schmitz-Valckenberg, Christian K. Brinkmann, and Frank G. Holz. "Imaging Geographic Atrophy in Age-Related Macular Degeneration." Ophthalmologica 226, no. 4 (2011): 182–90. http://dx.doi.org/10.1159/000330420.

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48

Monés, Jordi, Míriam Garcia, Marc Biarnés, Aparna Lakkaraju, and Lucia Ferraro. "Drusen Ooze: A Novel Hypothesis in Geographic Atrophy." Ophthalmology Retina 1, no. 6 (November 2017): 461–73. http://dx.doi.org/10.1016/j.oret.2017.02.006.

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49

Rim, Tyler Hyungtaek, Ryo Kawasaki, Yih-Chung Tham, Se Woong Kang, Paisan Ruamviboonsuk, Mukharram M. Bikbov, Masahiro Miyake, et al. "Prevalence and Pattern of Geographic Atrophy in Asia." Ophthalmology 127, no. 10 (October 2020): 1371–81. http://dx.doi.org/10.1016/j.ophtha.2020.04.019.

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50

Thorell, Mariana R., and Philip J. Rosenfeld. "Treatment of Geographic Atrophy: What’s on the Horizon?" Current Ophthalmology Reports 2, no. 1 (January 19, 2014): 20–25. http://dx.doi.org/10.1007/s40135-013-0036-y.

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