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Noorani SS, Kermany DS, Pakravan M, Charoenkijkajorn C, Lee AG. Nonarteritic Anterior Ischemic Optic Neuropathy as a Complication of Air Travel: A Case Report. J Neuroophthalmol 2024; 44:e68-e69. [PMID: 36166809 DOI: 10.1097/wno.0000000000001618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Soha S Noorani
- Philadelphia College of Osteopathic Medicine (SN), Suwanee, Georgia; Department of Ophthalmology (DK, MP, CC, AGL), Blanton Eye Institute, Houston Methodist Hospital, Houston, Texas; Departments of Ophthalmology, Neurology, and Neurosurgery (AGL), Weill Cornell Medicine, New York, New York; Department of Ophthalmology (AGL), University of Texas Medical Branch, Galveston, Texas; University of Texas MD Anderson Cancer Center (AGL), Houston, Texas; Texas A and M College of Medicine (DK, AGL), Bryan, Texas; and Department of Ophthalmology (AGL), The University of Iowa Hospitals and Clinics, Iowa City, Iowa
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Kermany DS, Zhang W, Sheng J, Vasquez M, Zhang X, Wong ST. Abstract 2382: Three-dimensional spatial phenotyping of cellular landscapes in the bone microenvironment of spontaneous metastases. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-2382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Metastasis to distant organs is the major cause of cancer-related deaths, and bone is the most frequent destination of metastasis in many cancers. Recent studies have shown that the bone microenvironment, not only permits, but augments cancer cells’ invasion and spread within tissue. Recent evidence also suggests that NG2+ cells participate in the initiation of bone metastasis and enhance proliferation and migration via cell-to-cell interactions and often co-localize with early disseminated tumor cells (DTCs). Hence, we developed an imageomics framework to measure and model three-dimensional (3D) spatial relationships within the bone microenvironment using whole slide confocal imaging.
To investigate the progression of DTCs, we delivered Lewis Lung Carcinoma (LLC1) GFP+ cancer cells to hind limb bones through intra-iliac artery injection. We did not observe immunogenic rejection of the cells or loss of markers during tumor progression. We performed whole slide confocal imaging to reconstruct high, single-cell resolution, 3D images of femur bones using NG2-creER;ROSA26-LoxP-TdTomato mice. This allowed us to detect and localize single spontaneous DTCs and NG2+ cells within the overall structure of the bone using anti-RFP and anti-GFP fluorescent markers.
To quantify 3D spatial relationships in the bone microenvironment, cell positions were labeled within the image by setting a channel-specific minimum intensity threshold to remove background noise and weakly-stained objects, followed by removing all objects measuring <10 μm in more than one dimension. The remaining markers for DTCs were evaluated manually. DTCs were identified based on 3D shape, size, heterogeneity of stain markers, and absence of non-specific staining, while the coordinates (x,y,z) of each DTC were recorded. NG2+ cell positions were determined automatically; a black-hat transformation is used to remove background noise and enhance contrast, followed by thresholding to segment NG2+ cells. For segmented objects within the volume range of an expected cell (5-20 μm radius), the centroid coordinates of the resulting objects were recorded.
To evaluate the spatial relationships in the stationary point patterns (SPPs) generated from the DTC and NG2+ staining, we implemented a 3D Ripley’s cross-K function to indicate spatial clustering or dispersion within and between SPPs to quantitatively evaluate spatial relationships at various distances and statistically compare against random distributions.
We have developed an imageomics framework for 3D spatial relationships of different cells within the bone microenvironment using whole slide confocal imaging. Our framework can accurately assess the relationship between the two groups and evaluate additional elements within the bone microenvironment, and potentially other cancer-affected organ systems.
Citation Format: Daniel S. Kermany, Weijie Zhang, Jianting Sheng, Matthew Vasquez, Xiang Zhang, Stephen T. Wong. Three-dimensional spatial phenotyping of cellular landscapes in the bone microenvironment of spontaneous metastases [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2382.
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Wannamaker KW, Kenny S, Das R, Mendlovitz A, Comstock JM, Chu ER, Bahadorani S, Gresores NJ, Beck KD, Krambeer CJ, Kermany DS, Diaz-Rohena R, Nolan DP, Sohn JH, Singer MA. The effects of temporary intraocular pressure spikes after intravitreal dexamethasone implantation on the retinal nerve fiber layer. Clin Ophthalmol 2019; 13:1079-1086. [PMID: 31417237 PMCID: PMC6602526 DOI: 10.2147/opth.s201395] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2019] [Accepted: 05/03/2019] [Indexed: 11/23/2022] Open
Abstract
Background and objective: The dexamethasone (DEX) implant is known to cause temporary intraocular pressure (IOP) spikes after implantation. The purpose of this study is to determine if IOP spikes after DEX implant cause significant thinning in the retinal nerve fiber layer (RNFL). Study design, patients, and methods: A total of 306 charts were reviewed with 48 and 21 patients meeting inclusion criteria for the cross-sectional and prospective groups, respectively. Cross-sectional inclusion criteria: IOP spike ≥22 mmHg up to 16 weeks after DEX implant, DEX implant in only 1 eye per patient, and spectral-domain optical coherence tomography (OCT) RNFL imaging of both eyes ≥3 months after IOP spike. Prospective inclusion criteria: OCT RNFL performed within 1 year prior to DEX implantation, IOP spike ≥22 mmHg up to 16 weeks after DEX implant, and OCT RNFL performed ≥3 months after IOP spike. The average RNFL thickness in the contralateral eye was used as the control in the cross-sectional group. Institutional review board approval was obtained. Results: In the cross-sectional group, there was no statistically significant difference in the mean RNFL thicknesses in the treated vs untreated eyes (80.4±15.5 μm and 82.6±15.8 μm, respectively; P=0.33) regardless of treatment diagnosis, magnitude of IOP spike, or history of glaucoma. In the prospective group, mean RNFL thicknesses before and after IOP spikes ≥22 mmHg were similar (78.0±14.8 μm and 75.6±13.6 μm, respectively; P=0.13). Conclusion and relevance: Temporary elevation of IOP after DEX implantation when treated with topical IOP lowering drops does not appear to lead to a meaningful change in RNFL thickness.
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Affiliation(s)
- Kendall W Wannamaker
- Ophthalmology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - Sarah Kenny
- Ophthalmology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - Rishi Das
- Ophthalmology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | | | - Jordan M Comstock
- Ophthalmology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - Edward R Chu
- Ophthalmology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - Sepehr Bahadorani
- Ophthalmology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | | | - Kinley D Beck
- Ophthalmology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | | | | | - Roberto Diaz-Rohena
- Ophthalmology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - Daniel P Nolan
- Medical Center Ophthalmology Associates , San Antonio, TX, USA
| | - Jeong-Hyeon Sohn
- Ophthalmology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
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Jansen ME, Krambeer CJ, Kermany DS, Waters JN, Tie W, Bahadorani S, Singer J, Comstock JM, Wannamaker KW, Singer MA. Appointment Compliance in Patients With Diabetic Macular Edema and Exudative Macular Degeneration. Ophthalmic Surg Lasers Imaging Retina 2019; 49:186-190. [PMID: 29554386 DOI: 10.3928/23258160-20180221-06] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2017] [Accepted: 11/01/2017] [Indexed: 11/20/2022]
Abstract
BACKGROUND AND OBJECTIVE The purpose of this study is to compare cancellation and no-show rates in patients with diabetic macular edema (DME) and exudative macular degeneration (wet AMD). PATIENTS AND METHODS An anonymous survey was sent to 1,726 retina specialists inquiring as to the number of appointments their patients with DME and wet AMD attended, cancelled, or did not show up for in 2014 and 2015. RESULTS Data were obtained on 109,599 appointments. Patients with DME in the U.S. had a 1.591-times increased odds of cancelling or no-showing to their appointments than patients with wet AMD (P < .0001). Patients with DME in Europe had a 1.918-times increased odds of cancelling or no showing to their appointments than patients with wet AMD (P < .0001). CONCLUSION Patients with DME in the U.S. and Europe cancelled and no-showed to their appointments significantly more often than patients with wet AMD. These findings can be taken into consideration when establishing treatment plans for patients with DME. [Ophthalmic Surg Lasers Imaging Retina. 2018;49:186-190.].
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Liang H, Tsui BY, Ni H, Valentim CCS, Baxter SL, Liu G, Cai W, Kermany DS, Sun X, Chen J, He L, Zhu J, Tian P, Shao H, Zheng L, Hou R, Hewett S, Li G, Liang P, Zang X, Zhang Z, Pan L, Cai H, Ling R, Li S, Cui Y, Tang S, Ye H, Huang X, He W, Liang W, Zhang Q, Jiang J, Yu W, Gao J, Ou W, Deng Y, Hou Q, Wang B, Yao C, Liang Y, Zhang S, Duan Y, Zhang R, Gibson S, Zhang CL, Li O, Zhang ED, Karin G, Nguyen N, Wu X, Wen C, Xu J, Xu W, Wang B, Wang W, Li J, Pizzato B, Bao C, Xiang D, He W, He S, Zhou Y, Haw W, Goldbaum M, Tremoulet A, Hsu CN, Carter H, Zhu L, Zhang K, Xia H. Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence. Nat Med 2019; 25:433-438. [DOI: 10.1038/s41591-018-0335-9] [Citation(s) in RCA: 265] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 12/07/2018] [Indexed: 02/07/2023]
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Kermany DS, Goldbaum M, Cai W, Valentim CCS, Liang H, Baxter SL, McKeown A, Yang G, Wu X, Yan F, Dong J, Prasadha MK, Pei J, Ting MYL, Zhu J, Li C, Hewett S, Dong J, Ziyar I, Shi A, Zhang R, Zheng L, Hou R, Shi W, Fu X, Duan Y, Huu VAN, Wen C, Zhang ED, Zhang CL, Li O, Wang X, Singer MA, Sun X, Xu J, Tafreshi A, Lewis MA, Xia H, Zhang K. Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning. Cell 2019; 172:1122-1131.e9. [PMID: 29474911 DOI: 10.1016/j.cell.2018.02.010] [Citation(s) in RCA: 1440] [Impact Index Per Article: 288.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Revised: 12/31/2017] [Accepted: 02/01/2018] [Indexed: 02/05/2023]
Abstract
The implementation of clinical-decision support algorithms for medical imaging faces challenges with reliability and interpretability. Here, we establish a diagnostic tool based on a deep-learning framework for the screening of patients with common treatable blinding retinal diseases. Our framework utilizes transfer learning, which trains a neural network with a fraction of the data of conventional approaches. Applying this approach to a dataset of optical coherence tomography images, we demonstrate performance comparable to that of human experts in classifying age-related macular degeneration and diabetic macular edema. We also provide a more transparent and interpretable diagnosis by highlighting the regions recognized by the neural network. We further demonstrate the general applicability of our AI system for diagnosis of pediatric pneumonia using chest X-ray images. This tool may ultimately aid in expediting the diagnosis and referral of these treatable conditions, thereby facilitating earlier treatment, resulting in improved clinical outcomes. VIDEO ABSTRACT.
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Affiliation(s)
- Daniel S Kermany
- Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 510005 Guangzhou, China; Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Michael Goldbaum
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Wenjia Cai
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Carolina C S Valentim
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Huiying Liang
- Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 510005 Guangzhou, China
| | - Sally L Baxter
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | | | - Ge Yang
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Xiaokang Wu
- Molecular Medicine Research Center, State Key Laboratory of Biotherapy, The National Clinical Research Center of Senile Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Fangbing Yan
- Molecular Medicine Research Center, State Key Laboratory of Biotherapy, The National Clinical Research Center of Senile Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Justin Dong
- Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 510005 Guangzhou, China
| | - Made K Prasadha
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Jacqueline Pei
- Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 510005 Guangzhou, China; Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Magdalene Y L Ting
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Jie Zhu
- Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 510005 Guangzhou, China; Guangzhou KangRui Biological Pharmaceutical Technology Company, 510005 Guangzhou, China
| | - Christina Li
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Sierra Hewett
- Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 510005 Guangzhou, China; Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Jason Dong
- Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 510005 Guangzhou, China
| | - Ian Ziyar
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Alexander Shi
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Runze Zhang
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | | | - Rui Hou
- Guangzhou KangRui Biological Pharmaceutical Technology Company, 510005 Guangzhou, China
| | - William Shi
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Xin Fu
- Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 510005 Guangzhou, China; Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Yaou Duan
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Viet A N Huu
- Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 510005 Guangzhou, China; Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Cindy Wen
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Edward D Zhang
- Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 510005 Guangzhou, China; Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Charlotte L Zhang
- Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 510005 Guangzhou, China; Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Oulan Li
- Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 510005 Guangzhou, China; Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | | | - Michael A Singer
- Department of Ophthalmology, University of Texas Health Science Center, San Antonio, TX 78229, USA
| | - Xiaodong Sun
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital, Shanghai JiaoTong University, 200080 Shanghai, China
| | - Jie Xu
- Beijing Instute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | | | | | - Huimin Xia
- Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 510005 Guangzhou, China
| | - Kang Zhang
- Guangzhou Women and Children's Medical Center, Guangzhou Medical University, 510005 Guangzhou, China; Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA; Molecular Medicine Research Center, State Key Laboratory of Biotherapy, The National Clinical Research Center of Senile Disease, West China Hospital, Sichuan University, Chengdu, China; Guangzhou Regenerative Medicine and Health Guangdong Laboratory, 510005 Guangzhou, China; Veterans Administration Healthcare System, San Diego, CA 92037, USA.
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Fu X, Huu VAN, Duan Y, Kermany DS, Valentim CCS, Zhang R, Zhu J, Zhang CL, Sun X, Zhang K. Clinical applications of retinal gene therapies. Precision Clinical Medicine 2018; 1:5-20. [PMID: 35694125 PMCID: PMC8982485 DOI: 10.1093/pcmedi/pby004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Revised: 03/27/2018] [Accepted: 04/03/2018] [Indexed: 02/05/2023] Open
Abstract
Retinal degenerative diseases are a major cause of blindness. Retinal gene therapy is a
trail-blazer in the human gene therapy field, leading to the first FDA approved gene
therapy product for a human genetic disease. The application of Clustered Regularly
Interspaced Short Palindromic Repeat/Cas9 (CRISPR/Cas9)-mediated gene editing technology
is transforming the delivery of gene therapy. We review the history, present, and future
prospects of retinal gene therapy.
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Affiliation(s)
- Xin Fu
- Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, California, USA
| | - Viet Anh Nguyen Huu
- Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, California, USA
| | - Yaou Duan
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, California, USA
| | - Daniel S Kermany
- Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, California, USA
| | - Carolina C S Valentim
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, California, USA
| | - Runze Zhang
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, California, USA
| | - Jie Zhu
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, California, USA
| | - Charlotte L Zhang
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, California, USA
| | - Xiaodong Sun
- Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital, Shanghai Jiaodong University, Shanghai, China
| | - Kang Zhang
- Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China
- Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, California, USA
- Molecular Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China
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Abstract
Diabetic macular edema is a serious visual complication of diabetic retinopathy. This article reviews the history of previous and current therapies, including laser therapy, anti-vascular endothelial growth factor agents, and corticosteroids, that have been used to treat this condition. In addition, it proposes new ways to use them in combination in order to decrease treatment burden and potentially address other causes besides vascular endothelial growth factor for diabetic macular edema.
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Affiliation(s)
| | | | - Jana Waters
- University of Texas Health Science Center, Austin, TX, USA
| | | | - Lyndon Tyler
- University of Texas Health Science Center, Austin, TX, USA
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