The ability to assess the state of the fundus in patients with lens opacities of varying intensity, including patients with type 2 diabetes mellitus, using quantitative analysis of images made with a fundus camera. А pilot study
https://doi.org/10.21516/2072-0076-2020-13-2-29-35
Abstract
Purpose. To evaluate a quantitative method for grading the "blurriness" of ocular fundus images in patients with varying degrees of cataract including diabetes mellitus type II in order to improve the quality of fundus examination when it is affected by opacification of the crystalline lens, and to develop an objective method for measuring severity of cataract. Material and methods. We studied 16 patients (32 eyes) with a range of lens opacities and etiologies, including diabetes mellitus type II (12 patients). Age range was 70.19 ± 7.9 years. Degree of transparency of the lens was graded on the LOCS III system. Visual acuity was determined with 20/200 ETDRS at a distance of 4 m (ESV-3000). Images of the fundus were taken with a Topcon Mark II TRC retinal camera NW7SF Type IA. Image Resolution was 8 TIFF. An image processing algorithm that combined bandpass filtering, entropy analysis. and power spectral integration was used to quantify image haziness in terms of two inversely-related scales: “Blur Score” and “Clarity Score”. Data were analyzed via Spearman's rank correlation coefficient. Results. In order to better fix the details of the fundus images with lens opacities using a computer algorithm with a filter system, evaluation scales have been developed – the clarity score scale and the blur score scale. The two scales provide similar information, but in opposite directions. LOCS III lens opacities (NC and C) showed a positive correlation with Blur Score and negative correlation with Clarity Score. This indicates that a lower Blur Score, or higher Clarity Score, correlates with better visual acuity. The values of LOCS III NO and P, on the other hand, showed no reliable correlation with Blur or Clarity scores. Conclusions. A computer quantitative image analysis method originally developed to determine the opacities of the vitreous body can be used to analyze fundus images of patients with different stages of cataract when processing original images from a fundus camera. The proposed algorithm can be used to develop an objective method.
About the Authors
L. A. Mineeva
Yaroslavl State Medical University
Russian Federation
Russian Federation
Lydia A. Mineeva — Cand. of Med. Sci., ophthalmologist, assistant, chair of outpatient therapy, clinical laboratory diagnostics and medical biochemistry
5, Revolutsionnaya st., Yaroslavl, 15000
L. I. Balashevich
St. Petersburg branch of S.N. Fyodorov Eye Microsurgery NMRC
Russian Federation
Russian Federation
Leonid I. Balashevich — Dr. of Med. Sci., Professor, principal consultant
21, Yaroslava Gasheka St., St. Petersburg, 192283
A. A. Kozhukhov
A.I. Burnazyan Medical and Biophysical Center, Ophthalmological department of the Institute of improvement of professional skills; Ophthalmological Clinic “Spektr”
Russian Federation
Russian Federation
Arseny A. Kozhukhov — Dr. of Med. Sci., Professor of chair of ophthalmology, leading ophthalmological surgeon, director
15, Gamalei St., Moscow, 123098
12, proezd Berezovoj roshchi, Moscow, 125252
L. B. Shubin
Yaroslavl State Medical University
Russian Federation
Russian Federation
Leonid B. Shubin — Cand. of Med. Sci., assistant professor, chair of pathological anatomy
5, Revolutsionnaya st., Yaroslavl, 15000
A. V. Kabanov
Yaroslavl State Medical University
Russian Federation
Russian Federation
Andrey V. Kabanov — Cand. of Med. Sci., assistant professor, chair of clinical pharmacology
5, Revolutsionnaya st., Yaroslavl, 15000
C. Passaglia
The University of South Florida
United States
United States
Christopher L. Passaglia — PC Engineer, Department of Chemical and Biomedical Engineering
4202 E. Fowler Avenue, Tampa, FL 33620
D. Richards
The University of South Florida
United States
United States
David Richards — MD, PhD, ophthalmologist, Department of Ophthalmology
4202 E. Fowler Avenue, Tampa, FL 33620
B. Madow
The University of South Florida
United States
United States
Brian Madow — MD, PhD, ophthalmologist, Department of Ophthalmology
4202 E. Fowler Avenue, Tampa, FL 33620
References
1. Pascolini D., Mariotti S.P. Global estimates of visual impairment. Br. J. Ophthalmol. 2012; 96: 614–8. doi:10.1136/bjophthalmol-2011-300539
2. Michael Hirst. Diabetes eye health. Guidelines for Diabetic Eye Care. 2014: 1–38. Avaible at: http://www.icoph.org/dynamic/attachments/resources/diabetes_eye_health.pdf
3. Wong Tien Y., Sun J., Kawasaki R., et al. Guidelines for Diabetes Eye Care. The international council of Ophthalmology recommendations for screening, followup, referral and treatment based on resource settings. American Academy of Ophthalmology. 2018 Oct; 125 (10): 1608–22. doi: 10.1016/j.ophtha.2018.04.007
4. Beckman C., Bond-Taylor L., Lindblom B., Sjostrand J. Confocal fundus imaging with a scanning laser ophthalmoscope in eyes with cataract. Brit. J. of Ophthalmol. 1995 Oct; 79 (10): 900–4. doi:10.1136/bjo.79.10.900
5. Passaglia C.L., Arvaneh T., Greenberg E., Richards D., Madow B. Automated method of grading vitreous haze in patients with uveitis for clinical trials. Translational vision science & technology. 2018; 7 (2): 10. doi:10.1167/tvst.7.2.10
6. Chylack L.T.Jr., Wolfe J.K., Singer D.M., et al. The Lens Opacities Classification System III. The longitudinal study of Cataract Study Group. Arch. Ophthalmol. 1993; 111: 831–6.
Review
For citations:
Mineeva L.A., Balashevich L.I., Kozhukhov A.A., Shubin L.B., Kabanov A.V., Passaglia C., Richards D., Madow B. The ability to assess the state of the fundus in patients with lens opacities of varying intensity, including patients with type 2 diabetes mellitus, using quantitative analysis of images made with a fundus camera. А pilot study. Russian Ophthalmological Journal. 2020;13(2):29-35. (In Russ.) https://doi.org/10.21516/2072-0076-2020-13-2-29-35
Views:
1004
Email this article 