scholarly journals Classification of diabetic retinopathy and diabetic macular edema

2013 ◽  
Vol 4 (6) ◽  
pp. 290 ◽  
Author(s):  
Lihteh Wu
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rehana Khan ◽  
Mahesh Shanmugam ◽  
Rajesh Ramanjulu ◽  
Jay Chablani ◽  
Niharika Singh ◽  
...  

Abstract Background The supply of Cilioretinal artery (CRA) to different layers of the retina influences retinal pathologies such as diabetic retinopathy (DR). Since the supply of CRA is segmental, our aim was to analyze the location of CRA with respect to non – center involving diabetic macular edema (DME) differentiated by various segments and center involving DME based on Early Treatment of Diabetic Retinopathy Study (ETDRS) scale using optical coherence tomography (OCT). Methods A retrospective study was conducted in which forty-three patients with various stages of DR and the presence of CRA were identified. Presence and location of CRA was recognized using fundus fluorescein angiography. Classification of DME was based on ETDRS subfields on OCT. Results Evaluation of 26 men and 17 women with varying degrees of severity involving DR revealed the presence of unilateral CRA in 40 subjects and bilateral CRA in 3 subjects. When CRA supplied the central area, maximum retinal thickness was noted at the temporal quadrant (271.67 ± 164.02 μm) along with non - center involving DME (194.87 ± 121.06 μm); when CRA supplied the lower area, maximum retinal thickness was noted at the superior quadrant (293.64 ± 159.36 μm) along with center involving DME (395 ± 285.75 μm) and when it supplied the upper area, maximum retinal thickness was noted at the nasal quadrant (293.49 ± 176.18 μm) along with center involving DME (292 ± 192.79 μm). Conclusion The presence of CRA seems to influence the morphology of the retina amongst patients diagnosed with DR by altering the segments involved in DME based on its supply location. However, further studies with a larger sample size are warranted to strenghten this association.


2021 ◽  
Vol 35 (6) ◽  
pp. 497-502
Author(s):  
Nida Nasir ◽  
Neda Afreen ◽  
Ranjeeta Patel ◽  
Simran Kaur ◽  
Mustafa Sameer

Diabetic Retinopathy (DR) and Diabetic Macular Edema (DME) are complication that occurs in diabetic patient especially among working age group that leads to vision impairment problem and sometimes even permanent blindness. Early detection is very much needed for diagnosis and to reduce blindness or deterioration. The diagnosis phase of DR consumes more time, effort and cost when manually performed by ophthalmologists and more chances of misdiagnosis still there. Research community is working on to design computer aided diagnosis system for prior detection and for DR grading based on its severity. Ongoing researches in Artificial Intelligence (AI) have set out the advancement of deep learning technique which comes as a best technique to perform analysis and classification of medical images. In this paper, research is applied on Resnet50 model for classification of DR and DME based on its severity grading on public benchmark dataset. Transfer learning approach accomplishes the best outcome on Indian Diabetic Retinopathy Image Dataset (IDRiD).


Diabetic retinopathy and diabetic macular edema are the most common causes of preventable blindness among the working class in many countries. The prevalence of diabetic macular edema, which is frequently associated with vision loss, is increasing. Classification of diabetic retinopathy is essential for precise and punctual treatment and follow-up, and ultimately for enhancing the quality of life of diabetic patients. Studies in recent years have shared protocols for diagnosis, classification, and follow-up.


Diabetic macular edema (DME) is the leading cause of blindness in patients with diabetic retinopathy worldwide. Therapeutic alternatives now include focal/grid laser photocoagulation, vitreoretinal surgery, and intraocular injection of anti-angiogenic and steroid molecules. In patients with recalcitrant DME, especially in those cases when anti-vascular endothelial growth factor (VEGF) agents are contraindicated or a treatment regimen with fewer intravitreal injections is required, intravitreal administration of steroids represents a fundamental alternative. Three intravitreal corticosteroid options for DME treatment are currently available including the dexamethasone delivery system, the fluocinolone acetonide insert, and off-label intravitreal triamcinolone acetonide. All of these drugs are associated with the risk of cataract progression and intraocular pressure elevation. In patients unresponsive to anti-VEGF therapy, pseudophakic, at low risk for glaucoma, or who have significant cardiovascular risk, treatment with long-lasting intraocular steroids is suggested.


Sign in / Sign up

Export Citation Format

Share Document