Automatic Evaluation of Plus Disease in Retinopathy of Prematurity

Abstract:

Abnormal dilation and tortuosity of retinal blood vessels are the primary signs of plus disease in retinopathy of prematurity. Timely prognosis could help reduce the delay in treatment and the risk of retinal detachment. Our objectives is to determine whether tortuosity and dilation sufficient for plus disease could be assessed most accurately by considering only arterioles, venules, or both. Tortuosity estimation and width measurement is done using previously proposed methods. Image preprocessing is applied before the two features namely, tortuosity and width of blood vessels are estimated to supply as input parameters for classification using K-means clustering technique. The results are validated by comparing with expert ophthalmologists ground truths. Performance is evaluated based on measures as sensitivity, specificity, predictive values and accuracy. The sensitivity, specificity, positive predictive value, negative predictive value and accuracy values obtained when considering both the arteriolar tortuosity and venous dilation are 85.86%, 90.74%, 88.76%, 88.28% and 88.50% respectively.

• Periodical: Applied Mechanics and Materials (Volumes 530-531)
• Pages: 189-196
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.530-531.189
• Online since: February 2014
• Authors: Rashmi Turior*, Bunyarit Uyyanonvara, Pornthep Chutinantvarodom
• Keywords: Arteries to Vein Ratio, Improved Curvature, K-Means Clustering, Retinal Vessels, Retinopathy of Prematurity, Tortuosity

References

[1] McNamara, J.A., Connolly, B.P., 1999. Retinopathy of prematurity. In: Regillo, C.D., Brown, C.G., Flynn, H.W. (Eds. ), Vitreoretinal Disease: The Essentials. Thieme Medical Publishers, New York, p.177–192.

[2] Palmer, E.A., Flynn, J.T., Hardy, R.J., Phelps, D.L., Phillips, C.L., Schaffer, D.B., 1991. Incidence and early course of retinopathy of prematurity. Ophthalmology 98, 1628–1640.

DOI: 10.1016/j.ophtha.2020.01.034

[3] Early Treatment For Retinopathy Of Prematurity Cooperative, G. (2003).

[4] Henegan C, Flynn J, O'Keefe M, et al. Characterization of changesin blood vessel width and tortuosity in retinopathy of prematurity using image analysis. Med Image Anal. 2002; 6(4): 407– 429.

DOI: 10.1016/s1361-8415(02)00058-0

[5] Swanson C, Cocker KD, Parker KH, et al. Semiautomated computer analysis of vessel growth in preterm infants without and with ROP. Br J Ophthalmol. 2003; 87(12): 1474–1477.

DOI: 10.1136/bjo.87.12.1474

[6] Gelman R, Martinez-Perez ME, Vanderveen DK, et al. Diagnosis of plus disease in retinopathy of prematurity using Retinal Image multiScale Analysis. Invest Ophthalmol Vis Sci. 2005; 46(12): 4734-4738.

DOI: 10.1167/iovs.05-0646

[7] Wallace DK, Zhao Z, Freedman SF, A pilot study using ROPtool, to quantify plus disease in retinopathy of prematurity. J AAPOS2007; 11(4): 381-387.

DOI: 10.1016/j.jaapos.2007.04.008

[8] Lassada Sukkaew, Bunyarit Uyyanonvara, Sarah Barman, Alistair Fielder, Ken Cocker, Automatic extraction of the structure of the retinal blood vessel network of premature infants, Journal of Medical Association of Thailand , Vol. 90, No. 9, 2007, pp.1780-1792.

[9] Lassada Sukkaew, Bunyarit Uyyanonvara, Stanislav S. Makhanov, Sarah Barman, and Pannet Pangputhipong, Automatic Tortuosity- Based Retinopathy of Prematurity screening system, IEICE Trans. INF. & SYST., VOL. E91-D, NO. 12 DECEMBER (2008).

DOI: 10.1093/ietisy/e91-d.12.2868

[10] Chapman, N., Witt, N., Gao, X., Bharath, A.A., Stanton, A.V., Thom, S.A., Hughes, A.D., 2001. Computer algorithms for the automated measurement of retinal arteriolar diameters. Brit. J. Ophthalmol. 85, 74–79.

DOI: 10.1136/bjo.85.1.74

[11] [My paper] Chiang, M. F., R. Gelman, et al. (2007). Plus disease in retinopathy of prematurity: an analysis of diagnostic performance., Trans Am Ophthalmol Soc 105: 73-84; discussion 84-75.

[12] Wallace DK, Computer-assisted quantification of vascular tortuosity in retinopathy of prematurity (2007) An American Ophthalmological Society PhD thesis, Trans Am Ophthalmol Soc. 105: 594-615.

[13] Wallace, D. K., G. E. Quinn, et al. (2008). Agreement among pediatric ophthalmologists in diagnosing plus and pre-plus disease in retinopathy of prematurity., J AAPOS 12(4): 352-356.

DOI: 10.1016/j.jaapos.2007.11.022

[14] Wilson, C. M., K. D. Cocker, et al. (2008). Computerized analysis of retinal vessel width and tortuosity in premature infants., Invest Ophthalmol Vis Sci 49(8): 3577-3585.

DOI: 10.1167/iovs.07-1353

[15] Aslam T, Fleck B, Patton N, Trucco M, Azegrouz H (2009) Digital image analysis of plus disease in retinopathy of prematurity. Acta Ophthalmol 87: 368-377.

DOI: 10.1111/j.1755-3768.2008.01448.x

[16] Amanda E Kiely, David K Wallace, Sharon F Freedman, Zheen Zhao., 2010. Computer-assisted measurement of retinal vascular width and tortuosity in retinopathy of prematurity. Arch Ophthalmol. 2010 Jul ; 128 (7): 847-52.

DOI: 10.1001/archophthalmol.2010.133

[17] Wallace, D.K., Kylstra, J.A., Chesnutt, D.A., 2000. Prognostic significance of vascular dilation and tortuosity insufficient for plus disease in retinopathy of prematurity. Journal of AAPOS 4, 224–229.

DOI: 10.1067/mpa.2000.105273

[18] Saunders, R.A., Donahue, M.L., Berland, J.E., Roberts, E.L., Von Powers,B., Rust, P.F., 2000. Non-ophthalmologist screening for retinopathy of prematurity. Brit. J. Ophthalmol. 84, 130–134.

DOI: 10.1136/bjo.84.2.130

[19] S D Schwartz, S A Harrison, P J Ferrone, M T Trese, Telemedical evaluation and management of retinopathy of prematurity using a fiberoptic digital fundus camera, Ophthalmology 2000; 107, 25-28.

DOI: 10.1016/s0161-6420(99)00003-2

[20] D B Roth, D Morales, W J Feuer, D Hess, R A Johnson, J T Flynn. Screening for Retinopathy of Prematurity Employing the RetCam 120,. Arch Ophthalmology 2001; 119, 268-272.

[21] R S Newsom, C Sinthanayothin, J Boyce, A G Casswell, T H Williamson, Clinical evaluation of `local contrast enhancement' for oral fluorescein angiograms, Eye 2000 14, 318-323.

DOI: 10.1038/eye.2000.80

[22] S A Barman, E J Hollick, J F Boyce, D J Spalton, B Uyannovara, W R Meacock, G Sanguinetti, Quantification of posterior capsule opacification in digital retroillumination images using a computational method based on texture analysis, IOVS, 2000; 41: 3882-3892.

DOI: 10.1117/12.387597

[23] R. Turior, D. Onkaew , B. Uyyanonvara , PCA-based Retinal Vessel Tortuosity Quantification, IEICE Trans. INF. & SYST , E96-D(2), pp.329-339, Feb2013.

DOI: 10.1587/transinf.e96.d.329

[24] R. Turior, D. Onkaew, B. Uyyanonvara, P. Chutinantvarodom, Quantification and Classification of Retinal Vessel Tortuosity, Science Asia Journal, in press.

DOI: 10.2306/scienceasia1513-1874.2013.39.265

[25] Danu Onkaew, Rashmi Turior, Bunyarit Uyyanonvara, Nishihara Akinori, Chanjira Sinthanayothin, Automatic Retinal Vessel Tortuosity Measurement using Curvature of Improved Chain Code, International Conference on Electrical, Control and Computer Engineering (InECCE 2011), pp.183-186.

DOI: 10.1109/inecce.2011.5953872

[26] Rashmi Turior, Bunyarit Uyyanonvara, Pornthep Chutinantvarodom, Khakima Karimzade, Quantitative measurement of changes in retinal vessel diameters in Preterm infants, International Conference on Medical Physics and Biomedical Engineering (ICMPBE 2012), Vol. 13, pp.335-340, Qingdao, China, 8-9 September, (2012).

[27] M Ramaswamy et al, A Study and Comparison of Automated Techniques for Exudate Detection Using Digital Fundus Images of Human Eye: A Review for Early Identification of Diabetic Retinopathy Int. J. Comp. Tech. Appl., Vol 2 (5), 1503-1516.

[28] Sanchez, C.I.; Hornero, R.; Lopez, M.I.; Poza, J. Retinal Image Analysis to Detect and Quantify Lesions Associated with Diabetic Retinopathy. In Internat. Conf. on Engineering in Medicine and Biology Society (EMBC), 2004, p.1624 – 1627.

DOI: 10.1109/iembs.2004.1403492

[29] An International Committee for the Classification of Retinopathy of Prematurity. The International Classification of Retinopathy of Prematurity Revisited. Arch Ophthalmol 2005; 123: 991-999.

DOI: 10.1001/archopht.123.7.991