Efficacy and reliability of fundus digital camera as a screening tool for diabetic retinopathy in Kuwait

AlSabti, Khalid; Raizada, Seemant; Wani, Vivek B; Ajmi, Mubarak Al; Gayed, I I; Sugathan, T.N.

doi:10.1016/s1056-8727(03)00007-2

Cited by 23 publications

(14 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These cases show that some patients may already be in need of treatment for the DR at the time of diagnosis of type 2 DM, thereby making it necessary to perform fundus examination in all newly discovered type 2 diabetic subjects. The digital camera used for the evaluation of DR was found reliable in diagnosing the DR as previously reported [27] . Comparison of the digital image of the fundus with clinical examination by slit lamp biomicroscopy by ophthalmologists showed a good correlation as in our previous study [27] .…”

Section: Discussionsupporting

confidence: 66%

“…The digital camera used for the evaluation of DR was found reliable in diagnosing the DR as previously reported [27] . Comparison of the digital image of the fundus with clinical examination by slit lamp biomicroscopy by ophthalmologists showed a good correlation as in our previous study [27] . Digital camera allows storage of images, which can be viewed later at a convenient time thereby obviating the need for immediate re- ferral of the patient to the Ophthalmology Clinic unless both maculopathy and preproliferative DR are involved.…”

Section: Discussionsupporting

confidence: 66%

See 1 more Smart Citation

Retinopathy in Newly Diagnosed Type 2 Diabetes mellitus

Al-Zuabi

Al-Tammar²,

Al-Moataz³

et al. 2005

Med Princ Pract

View full text Add to dashboard Cite

Objective: To study the prevalence of diabetic retinopathy and its association with risk factors in newly diagnosed type 2 diabetic patients in two primary care diabetic clinics in Kuwait. Subjects and Methods: All newly diagnosed type 2 diabetes mellitus patients attending Ferdous and Yarmouk Health Care Diabetic Clinics in Farwaniya and Asma Health Areas, respectively, during the period of January 2002 to July 2004 were examined for the presence of diabetic retinopathy by color fundus photographs. Risk factors such as sex, age, hypertension, nephropathy, hyperglycemia, level of glycated hemoglobin, microalbuminuria and hyperlipidemia were evaluated by statistical analysis for their possible association with the presence of diabetic retinopathy at the time of diagnosis of diabetes. Results: Of the 92 newly diagnosed type 2 diabetes mellitus patients studied, diabetic retinopathy was present in 7 (7.6%) patients. Two of the 7 patients had maculopathy that needed treatment by photocoagulation. High glycated hemoglobin in 51 patients (55.4%), microalbuminuria in 25 (27.2%), hypertension in 29 (315%), hyperlipidemia in 69 (75%), obesity in 45 (48.9%) and overweight in 37(40.2%) were noted in the study population. Microalbuminuria was weakly associated with the presence of retinopathy (p = 0.08) at the time of diagnosis of diabetes mellitus, but other risk factors were not statistically significant. Conclusions: Prevalence of diabetic retinopathy was 7.6% among the study population. Maculopathy was present in 2 of the 7 patients needing photocoagulation.

show abstract

Section: Discussionsupporting

confidence: 66%

Section: Discussionsupporting

confidence: 66%

Retinopathy in Newly Diagnosed Type 2 Diabetes mellitus

Al-Zuabi

Al-Tammar²,

Al-Moataz³

et al. 2005

Med Princ Pract

View full text Add to dashboard Cite

show abstract

“…Albeit this is a small sample, there was 100% agreement in the gradable eyes for macular edema and CSME. However, previous studies have shown that CSME cannot always be excluded with this methodology (18,(21)(22)(23). Thus, we feel it would be prudent that all patients with any level of diabetic retinopathy still be referred for a DFE until the technology improves.…”

Section: Conclusion -Screening Is Vitalmentioning

confidence: 96%

The Sensitivity and Specificity of Nonmydriatic Digital Stereoscopic Retinal Imaging in Detecting Diabetic Retinopathy

et al. 2006

View full text Add to dashboard Cite

OBJECTIVE -The objective of this study was to determine the sensitivity and specificity of Joslin Vision Network nonmydriatic digital stereoscopic retinal imaging (NMDSRI) as a screening tool in detecting diabetic retinopathy.RESEARCH DESIGN AND METHODS -We reviewed the records of 244 patients with diabetes who had a dilated funduscopic examination (DFE) and NMDSRI done within 1 year of each other at four locations in the metropolitan Washington, DC, area. The images were transmitted through a local area network to a central reading location where they were graded by a single retinal specialist.RESULTS -Images of 482 eyes from 243 patients were included in the study. Four images did not transmit, and 35% of the images were not gradable. Of the remaining 311 eyes, there was 86% agreement in the grading between NMDSRI and DFE: 227 eyes with no diabetic retinopathy and 40 eyes with diabetic retinopathy. In 46 eyes (15%) there was a disagreement between gradings made by the two techniques. NMDSRI detected diabetic retinopathy in 35 eyes reported as normal by DFE, and in the remaining 11 eyes, the DFE grade was one grade higher than the NMDSRI grade. Adjudicated nonconcordant examinations were within one grade. In the 76 eyes with diabetic retinopathy, retinal thickness could not be assessed in 17 (21%) eyes. When the NMDSRI result was gradable, the overall sensitivity of NMDSRI was 98% and the specificity was 100% for retinopathy within one grade of the DFE. In the limited number of eyes that had diabetic retinopathy with macular edema (six), agreement with the clinical examination was 100%.CONCLUSIONS -NMDSRI is a sensitive and specific method for the screening and diagnosis of diabetic retinopathy, which may help improve compliance with the standards of eye care for patients with diabetes. Diabetes Care 29:2205-2209, 2006D iabetes is the leading cause of new cases of blindness among adults aged 20 -74 years with diabetic retinopathy, causing as many as 24,000 new cases of blindness per year (1). Crude prevalence rates of diabetic retinopathy and vision-threatening retinopathy in adults Ն40 years of age are 40.3 and 8.2%, respectively (2). In those with type 1 diabetes, the crude prevalences of any diabetic retinopathy were 74.9 versus 82.3% in black and white individuals, respectively, and of vision-threatening retinopathy were 30.0 versus 32.2%, respectively (3). Because the prevalence of diabetes is projected to increase by 35% worldwide between the years 1995 and 2025 (4), the number of Americans with blindness and significant visual impairment will probably rise as well. The high incidence of visual loss and the fact that even severe diabetic retinopathy may be asymptomatic provide strong support for screening (5). The Diabetic Retinopathy Study (DRS) and the Early Treatment Diabetic Retinopathy Study (ETDRS) showed that early treatment can reduce an individual's risk of severe vision loss by 57% (6,7). Moreover, focal laser photocoagulation for diabetic macular edema can reduce the risk of moderate vision los...

show abstract

“…Sabti et al [53] assessed the correlation between fundus digital image and clinical examination. In addition, they assessed the possibility of developing a screening program for the early detection of sight-threatening DR using a Canon CF 60 UV fundus camera.…”

Section: Influence On the Diagnosismentioning

confidence: 99%

Digital Ocular Fundus Imaging: A Review

Bernardes

Serranho

Lobo³

2011

Ophthalmologica

175

View full text Add to dashboard Cite

Ocular fundus imaging plays a key role in monitoring the health status of the human eye. Currently, a large number of imaging modalities allow the assessment and/or quantification of ocular changes from a healthy status. This review focuses on the main digital fundus imaging modality, color fundus photography, with a brief overview of complementary techniques, such as fluorescein angiography. While focusing on two-dimensional color fundus photography, the authors address the evolution from nondigital to digital imaging and its impact on diagnosis. They also compare several studies performed along the transitional path of this technology. Retinal image processing and analysis, automated disease detection and identification of the stage of diabetic retinopathy (DR) are addressed as well. The authors emphasize the problems of image segmentation, focusing on the major landmark structures of the ocular fundus: the vascular network, optic disk and the fovea. Several proposed approaches for the automatic detection of signs of disease onset and progression, such as microaneurysms, are surveyed. A thorough comparison is conducted among different studies with regard to the number of eyes/subjects, imaging modality, fundus camera used, field of view and image resolution to identify the large variation in characteristics from one study to another. Similarly, the main features of the proposed classifications and algorithms for the automatic detection of DR are compared, thereby addressing computer-aided diagnosis and computer-aided detection for use in screening programs.

show abstract

Efficacy and reliability of fundus digital camera as a screening tool for diabetic retinopathy in Kuwait

Cited by 23 publications

References 21 publications

Retinopathy in Newly Diagnosed Type 2 Diabetes mellitus

Retinopathy in Newly Diagnosed Type 2 Diabetes mellitus

The Sensitivity and Specificity of Nonmydriatic Digital Stereoscopic Retinal Imaging in Detecting Diabetic Retinopathy

Digital Ocular Fundus Imaging: A Review

Contact Info

Product

Resources

About