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Retina

Comparing Common Retinal Vessel Caliber Measurement Software with an Automatic Deep Learning System

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Pages 843-849 | Received 06 Feb 2023, Accepted 05 May 2023, Published online: 29 May 2023

References

  • Fraser-Bell S, Symes R, Vaze A. Hypertensive eye disease: a review. Clin Exp Ophthalmol. 2017;45(1):45–53. doi:10.1111/ceo.12905.
  • Tham Y-C, Siantar RG, Cheung CY-L, Tan S-P, Koh VT, Aung T, Wong TY, Cheng C-Y. Inter-relationships between retinal vascular caliber, retinal nerve fiber layer thickness, and glaucoma: a mediation analysis approach. Invest Ophthalmol Vis Sci. 2016;57(8):3803–3809. doi:10.1167/iovs.15-18683.
  • Sabanayagam C, Lye WK, Klein R, Klein BEK, Cotch MF, Wang JJ, Mitchell P, Shaw JE, Selvin E, Sharrett AR, et al. Retinal microvascular calibre and risk of diabetes mellitus: a systematic review and participant-level meta-analysis. Diabetologia. 2015;58(11):2476–2485. doi:10.1007/s00125-015-3717-2.
  • Ishida K, Biousse V. Disease of the year: cerebrovascular disorders. J Neuroophthalmol. 2020; 40(1):1–2. doi:10.1097/WNO.0000000000000905.
  • Ooi QL, Tow F-FH, Deva R, Alias MA, Kawasaki R, Wong TY, Mohamad N, Colville D, Hutchinson A, Savige J. The microvasculature in chronic kidney disease. Clin J Am Soc Nephrol. 2011;6(8):1872–1878. doi:10.2215/CJN.10291110.
  • Jeganathan VSE, Kawasaki R, Wang JJ, Aung T, Mitchell P, Saw S-M, Wong TY. Retinal vascular caliber and age-related macular degeneration: the Singapore Malay Eye Study. Am J Ophthalmol. 2008;146(6):954–959.e1. doi:10.1016/j.ajo.2008.07.006.
  • Yip W, Tham YC, Hsu W, Lee ML, Klein R, Klein B, Ikram MK, Wong TY, Cheung CY-L. Comparison of common retinal vessel caliber measurement software and a conversion algorithm. Transl Vis Sci Technol. 2016; 5(5):11. doi:10.1167/tvst.5.5.11.
  • McGrory S, Taylor AM, Pellegrini E, Ballerini L, Kirin M, Doubal FN, Wardlaw JM, Doney ASF, Dhillon B, Starr JM, et al. Towards standardization of quantitative retinal vascular parameters: comparison of SIVA and VAMPIRE measurements in the Lothian Birth Cohort. Transl Vis Sci Technol. 2018;7(2):12. doi:10.1167/tvst.7.2.12.
  • Mautuit T, Cunnac P, Cheung CY, Wong TY, Hogg S, Trucco E, Daien V, MacGillivray TJ, Labarère J, Chiquet C. Concordance between SIVA, IVAN, and VAMPIRE software tools for semi-automated analysis of retinal vessel caliber. Diagnostics (Basel). 2022;12(6):1317. doi:10.3390/diagnostics12061317.
  • Gulshan V, Peng L, Coram M, Stumpe MC, Wu D, Narayanaswamy A, Venugopalan S, Widner K, Madams T, Cuadros J, et al. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA. 2016; 316(22):2402–2410. doi:10.1001/jama.2016.17216.
  • Poplin R, Varadarajan AV, Blumer K, Liu Y, McConnell MV, Corrado GS, Peng L, Webster DR. Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning. Nat Biomed Eng. 2018;2(3):158–164. doi:10.1038/s41551-018-0195-0.
  • Raman R, Srinivasan S, Virmani S, Sivaprasad S, Rao C, Rajalakshmi R. Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy. Eye. 2019;33(1):97–109. doi:10.1038/s41433-018-0269-y.
  • Patton N, Aslam TM, MacGillivray T, Deary IJ, Dhillon B, Eikelboom RH, Yogesan K, Constable IJ. Retinal image analysis: concepts, applications and potential. Prog Retin Eye Res. 2006;25(1):99–127. doi:10.1016/j.preteyeres.2005.07.001.
  • Shi D, Lin Z, Wang W, Tan Z, Shang X, Zhang X, Meng W, Ge Z, He M. A deep learning system for fully automated retinal vessel measurement in high throughput image analysis. Front Cardiovasc Med. 2022;9:823436. doi:10.3389/fcvm.2022.823436.
  • Hu Y, Niu Y, Wang D, Wang Y, Holden BA, He M. The association of longitudinal trend of fasting plasma glucose with retinal microvasculature in people without established diabetes. Invest Ophthalmol Vis Sci. 2015;56(2):842–848. doi:10.1167/iovs.14-15943.
  • Han X, Yang T, Zhang J, Yu S, Guo X, Yan W, Hu Y, He M. Longitudinal changes in intraocular pressure and association with systemic factors and refractive error: lingtou Eye Cohort Study. BMJ Open. 2018;8(2):e019416. doi:10.1136/bmjopen-2017-019416.
  • Sherry LM, Wang JJ, Rochtchina E, Wong T, Klein R, Hubbard L, Mitchell P. Reliability of computer-assisted retinal vessel measurement in a population. Clin Exp Ophthalmol. 2002; 30(3):179–182. doi:10.1046/j.1442-9071.2002.00520.x.
  • Heitmar R, Kalitzeos AA, Panesar V. Comparison of two formulas used to calculate summarized retinal vessel calibers. Optom Vis Sci. 2015;92(11):1085–1091. doi:10.1097/OPX.0000000000000704.
  • Knudtson MD, Lee KE, Hubbard LD, Wong TY, Klein R, Klein BEK. Revised formulas for summarizing retinal vessel diameters. Curr Eye Res. 2003;27(3):143–149. doi:10.1076/ceyr.27.3.143.16049.
  • Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979;86(2):420–428. doi:10.1037//0033-2909.86.2.420.
  • Bland JM, Altman DG. Comparing methods of measurement: why plotting difference against standard method is misleading. Lancet. 1995;346(8982):1085–1087. doi:10.1016/s0140-6736(95)91748-9.
  • Iwase A, Sekine A, Suehiro J, Tanaka K, Kawasaki Y, Kawasaki R, Sinai MJ, Araie M. A new method of magnification correction for accurately measuring retinal vessel calibers from fundus photographs. Invest Ophthalmol Vis Sci. 2017;58(3):1858–1864. doi:10.1167/iovs.16-21202.
  • Dartora WJ, Maestri MK, Schmidt MI, Duncan BB, Chambless L, Klein R, Meuer S, Luft VC. Validity and reproducibility of retinal arteriole and venule diameter measurements: ELSA-Brasil study. A cross-sectional study. Sao Paulo Med J. 2018;136(4):276–286. doi:10.1590/1516-3180.2018.0227230718.
  • Ajaz A, Aliahmad B, Kumar H, Sarossy M, Kumar DK. Agreement study between color and IR retinal images based on retinal vasculature morphological parameters. BMC Ophthalmol. 2019;19(1):27. doi:10.1186/s12886-018-0997-6.
  • Sabanayagam C, Shankar A, Koh D, Chia KS, Saw SM, Lim SC, Tai ES, Wong TY. Retinal microvascular caliber and chronic kidney disease in an Asian population. Am J Epidemiol. 2009;169(5):625–632. doi:10.1093/aje/kwn367.
  • Wang JJ, Liew G, Wong TY, Smith W, Klein R, Leeder SR, Mitchell P. Retinal vascular calibre and the risk of coronary heart disease‐related death. Heart. 2006;92(11):1583–1587. doi:10.1136/hrt.2006.090522.
  • Drobnjak D, Munch IC, Glümer C, Faerch K, Kessel L, Larsen M, Veiby NCBB. Retinal vessel diameters and their relationship with cardiovascular risk and all-cause mortality in the inter99 eye study: a 15-year follow-up. J Ophthalmol. 2016; 2016:6138659. doi:10.1155/2016/6138659.

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