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Screening for Diabetic Retinopathy Using a Portable, Noncontact, Nonmydriatic Handheld Retinal Camera.

Publication ,  Journal Article
Zhang, W; Nicholas, P; Schuman, SG; Allingham, MJ; Faridi, A; Suthar, T; Cousins, SW; Prakalapakorn, SG
Published in: J Diabetes Sci Technol
January 2017

BACKGROUND: Diabetic retinopathy (DR) is a leading cause of low vision and blindness. We evaluated the feasibility of using a handheld, noncontact digital retinal camera, Pictor, to obtain retinal images in dilated and undilated eyes for DR screening. We also evaluated the accuracy of ophthalmologists with different levels of training/experience in grading these images to identify eyes with vision-threatening DR. METHODS: A prospective study of diabetic adults scheduled to have dilated eye exams at Duke Eye Center from January to May 2014 was conducted. An imager acquired retinal images pre- and postdilation with Pictor and selected 1 pre- and 1 postdilation image per eye. Five masked ophthalmologists graded images for gradability (based on image focus and centration) and the presence of no, mild, moderate, or severe nonproliferative DR (NPDR) or proliferative DR (PDR). Referable disease was defined as moderate or severe NPDR or PDR on image grading. We evaluated feasibility based on the graders' evaluation of image gradability. We evaluated accuracy of identifying vision-threatening disease (severe NPDR or PDR documented on dilated clinical examination) based on the graders' sensitivity and specificity of grading referable disease. RESULTS: Images were gradable in 86-94% of predilation and 94-97% of postdilation photos. Compared to the dilated clinical exam, overall sensitivity for identifying vision-threatening DR was 64-88% and specificity was 71-90%. CONCLUSIONS: Pictor can capture retinal images of sufficient quality to screen for DR with and without dilation. Single retinal images obtained using Pictor can identify eyes with vision-threatening DR with high sensitivity and acceptable specificity compared to clinical exam.

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Published In

J Diabetes Sci Technol

DOI

EISSN

1932-2968

Publication Date

January 2017

Volume

11

Issue

1

Start / End Page

128 / 134

Location

United States

Related Subject Headings

  • Retina
  • Photography
  • Ophthalmology
  • Middle Aged
  • Mass Screening
  • Male
  • Image Interpretation, Computer-Assisted
  • Humans
  • Female
  • Diagnostic Imaging
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Zhang, W., Nicholas, P., Schuman, S. G., Allingham, M. J., Faridi, A., Suthar, T., … Prakalapakorn, S. G. (2017). Screening for Diabetic Retinopathy Using a Portable, Noncontact, Nonmydriatic Handheld Retinal Camera. J Diabetes Sci Technol, 11(1), 128–134. https://doi.org/10.1177/1932296816658902
Zhang, Wenlan, Peter Nicholas, Stefanie Gail Schuman, Michael John Allingham, Ambar Faridi, Tushar Suthar, Scott William Cousins, and Sasapin Grace Prakalapakorn. “Screening for Diabetic Retinopathy Using a Portable, Noncontact, Nonmydriatic Handheld Retinal Camera.J Diabetes Sci Technol 11, no. 1 (January 2017): 128–34. https://doi.org/10.1177/1932296816658902.
Zhang W, Nicholas P, Schuman SG, Allingham MJ, Faridi A, Suthar T, et al. Screening for Diabetic Retinopathy Using a Portable, Noncontact, Nonmydriatic Handheld Retinal Camera. J Diabetes Sci Technol. 2017 Jan;11(1):128–34.
Zhang, Wenlan, et al. “Screening for Diabetic Retinopathy Using a Portable, Noncontact, Nonmydriatic Handheld Retinal Camera.J Diabetes Sci Technol, vol. 11, no. 1, Jan. 2017, pp. 128–34. Pubmed, doi:10.1177/1932296816658902.
Zhang W, Nicholas P, Schuman SG, Allingham MJ, Faridi A, Suthar T, Cousins SW, Prakalapakorn SG. Screening for Diabetic Retinopathy Using a Portable, Noncontact, Nonmydriatic Handheld Retinal Camera. J Diabetes Sci Technol. 2017 Jan;11(1):128–134.
Journal cover image

Published In

J Diabetes Sci Technol

DOI

EISSN

1932-2968

Publication Date

January 2017

Volume

11

Issue

1

Start / End Page

128 / 134

Location

United States

Related Subject Headings

  • Retina
  • Photography
  • Ophthalmology
  • Middle Aged
  • Mass Screening
  • Male
  • Image Interpretation, Computer-Assisted
  • Humans
  • Female
  • Diagnostic Imaging