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Nonmydriatic digital retinal images for determining diabetic retinopathy.
J Med Assoc Thai. 2007 Mar; 90(3):508-12.JM

Abstract

OBJECTIVE

To evaluate the efficacy of nonmydriatic digital retinal images for determining diabetic retinopathy.

MATERIAL AND METHOD

Single field 45-degree digital retinal images of 225 eyes from 142 diabetic patients were obtained with a nonmydriatic camera. The images were diagnosed and graded by a general ophthalmologist. These results were compared with clinical diagnosis obtained by retinal specialists, after examination by using biomicroscope with plus lens and indirect ophthalmoscope of the patients. International clinical diabetic retinopathy disease severity scale was used for grading diabetic retinopathy in all cases.

RESULTS

Presence of diabetic retinopathy was detected in 70 eyes (31.1%). The sensitivity and specificity for determining diabetic retinopathy was 68.57% (95%CI 57.00-78.20) and 92.25% (95%CI 87.00-95.50), respectively. The positive predictive value and negative predictive value was 80.00% (95%CI 68.20-88.20) and 86.67% (95%CI 80.60-91.00). Overall accuracy was 84.89%.

CONCLUSION

Single field 45-degree nonmydriatic digital retinal images were limited by fair sensitivity for determining diabetic retinopathy although overall accuracy from the present study was relatively high. Upcountry, this tool might facilitate increased access of diabetic patients for eye evaluation but cannot replace standard eye examination.

Authors+Show Affiliations

Department of Ophthalmology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

17427528

Citation

Tanterdtham, Jutalai, et al. "Nonmydriatic Digital Retinal Images for Determining Diabetic Retinopathy." Journal of the Medical Association of Thailand = Chotmaihet Thangphaet, vol. 90, no. 3, 2007, pp. 508-12.
Tanterdtham J, Singalavanija A, Namatra C, et al. Nonmydriatic digital retinal images for determining diabetic retinopathy. J Med Assoc Thai. 2007;90(3):508-12.
Tanterdtham, J., Singalavanija, A., Namatra, C., Trinavarat, A., Rodanant, N., Bamroongsuk, P., Thoongsuwan, S., & Euasobhon, W. (2007). Nonmydriatic digital retinal images for determining diabetic retinopathy. Journal of the Medical Association of Thailand = Chotmaihet Thangphaet, 90(3), 508-12.
Tanterdtham J, et al. Nonmydriatic Digital Retinal Images for Determining Diabetic Retinopathy. J Med Assoc Thai. 2007;90(3):508-12. PubMed PMID: 17427528.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Nonmydriatic digital retinal images for determining diabetic retinopathy. AU - Tanterdtham,Jutalai, AU - Singalavanija,Apichart, AU - Namatra,Chakrapong, AU - Trinavarat,Adisak, AU - Rodanant,Nuttawut, AU - Bamroongsuk,Parapun, AU - Thoongsuwan,Somanus, AU - Euasobhon,Wanna, PY - 2007/4/13/pubmed PY - 2007/5/26/medline PY - 2007/4/13/entrez SP - 508 EP - 12 JF - Journal of the Medical Association of Thailand = Chotmaihet thangphaet JO - J Med Assoc Thai VL - 90 IS - 3 N2 - OBJECTIVE: To evaluate the efficacy of nonmydriatic digital retinal images for determining diabetic retinopathy. MATERIAL AND METHOD: Single field 45-degree digital retinal images of 225 eyes from 142 diabetic patients were obtained with a nonmydriatic camera. The images were diagnosed and graded by a general ophthalmologist. These results were compared with clinical diagnosis obtained by retinal specialists, after examination by using biomicroscope with plus lens and indirect ophthalmoscope of the patients. International clinical diabetic retinopathy disease severity scale was used for grading diabetic retinopathy in all cases. RESULTS: Presence of diabetic retinopathy was detected in 70 eyes (31.1%). The sensitivity and specificity for determining diabetic retinopathy was 68.57% (95%CI 57.00-78.20) and 92.25% (95%CI 87.00-95.50), respectively. The positive predictive value and negative predictive value was 80.00% (95%CI 68.20-88.20) and 86.67% (95%CI 80.60-91.00). Overall accuracy was 84.89%. CONCLUSION: Single field 45-degree nonmydriatic digital retinal images were limited by fair sensitivity for determining diabetic retinopathy although overall accuracy from the present study was relatively high. Upcountry, this tool might facilitate increased access of diabetic patients for eye evaluation but cannot replace standard eye examination. SN - 0125-2208 UR - https://www.unboundmedicine.com/medline/citation/17427528/Nonmydriatic_digital_retinal_images_for_determining_diabetic_retinopathy_ DB - PRIME DP - Unbound Medicine ER -