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Development of Clinically Based Corneal Nerves Tortuosity Indexes

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10554))

Abstract

In-vivo specular microscopy provides information on the corneal health state. The correlation between corneal nerve tortuosity and pathology has been shown several times. However, because there is no unique formal definition of tortuosity, reproducibility is poor. Recently, two distinct forms of corneal nerve tortuosity have been identified, describing either short-range or long-range directional changes. Using 30 images and their manual grading provided by 7 experts, we automatically traced corneal nerves with a custom computerized procedure and identified the combination of geometrical measurements that best represents each tortuosity definition (Spearman Rank Correlation equal to 0.94 and 0.88, respectively). Then, we evaluated both of these tortuosity indexes in 100 images from 10 healthy and 10 diabetic subjects (5 images per subject). A Linear Discriminant Analysis showed a very good capability (accuracy 85%) to differentiate healthy subjects from pathological ones by using both tortuosity indexes together.

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References

  1. Krachmer, J.H., Mannis, M.J., Holland, E.J.: Cornea: Fundamentals, Diagnosis and Management, vol. 1. Elsevier Mosby, Philadelphia (2005)

    Google Scholar 

  2. Marfurt, C.F., Cox, J., Deek, S., Dvorscak, L.: Anatomy of the human corneal innervation. Exp. Eye Res. 90(4), 478–492 (2010)

    Article  Google Scholar 

  3. del Castillo, J.M.B., Wasfy, M.A., Fernandez, C., Garcia-Sanchez, J.: An in vivo confocal masked study on corneal epithelium and subbasal nerves in patients with dry eye. Invest. Ophthalmol. Vis. Sci. 45(9), 3030–3035 (2004)

    Article  Google Scholar 

  4. Parissi, M., Randjelovic, S., Poletti, E., et al.: Corneal nerve regeneration after collagen cross-linking treatment of keratoconus: A 5-year longitudinal study. JAMA Ophthalmol. 134(1), 70–78 (2016)

    Article  Google Scholar 

  5. De Cillà, S., Ranno, S., Carini, E., et al.: Corneal subbasal nerves changes in patients with diabetic retinopathy: an in vivo confocal study. Invest. Ophthalmol. Vis. Sci. 50(11), 5155–5158 (2009)

    Article  Google Scholar 

  6. Kallinikos, P., Berhanu, M., O’Donnell, C., et al.: Corneal nerve tortuosity in diabetic patients with neuropathy. Invest. Ophthalmol. Vis. Sci. 45(2), 418–422 (2004)

    Article  Google Scholar 

  7. Lagali, N., Poletti, E., Patel, D.V., et al.: Focused tortuosity definitions based on expert clinical assessment of corneal subbasal nerves. Invest. Ophthalmol. Vis. Sci. 56(9), 5102–5109 (2015)

    Article  Google Scholar 

  8. Guimarães, P., Wigdahl, J., Ruggeri, A.: Automatic estimation of corneal nerves focused tortuosities. In: Conference Proceedings of the IEEE Engineering in Medicine and Biology Society, pp. 1332–1335 (2016)

    Google Scholar 

  9. Guimarães, P., Wigdahl, J., Ruggeri, A.: A fast and efficient technique for the automatic tracing of corneal nerves in confocal microscopy. Transl. Vis. Sci. Technol. 5(5), 7 (2016)

    Article  Google Scholar 

  10. Smedby, O., Högman, N., Nilsson, S., et al.: Two-dimensional tortuosity of the superficial femoral artery in early atherosclerosis. J. Vasc. Res. 30(4), 181–191 (1993)

    Article  Google Scholar 

  11. Hart, W.E., Goldbaum, M., Cote, B., et al.: Measurement and classification of retinal vascular tortuosity. Int. J. Med. Inform. 53(2), 39–252 (1999)

    Google Scholar 

  12. Scarpa, F., Zheng, X., Ohashi, Y., Ruggeri, A.: Automatic evaluation of corneal nerve tortuosity in images from in vivo confocal microscopy. Invest. Ophthalmol. Vis. Sci. 52(9), 6404–6408 (2011)

    Article  Google Scholar 

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Correspondence to Fabio Scarpa .

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Scarpa, F., Ruggeri, A. (2017). Development of Clinically Based Corneal Nerves Tortuosity Indexes. In: Cardoso, M., et al. Fetal, Infant and Ophthalmic Medical Image Analysis. OMIA FIFI 2017 2017. Lecture Notes in Computer Science(), vol 10554. Springer, Cham. https://doi.org/10.1007/978-3-319-67561-9_25

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  • DOI: https://doi.org/10.1007/978-3-319-67561-9_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67560-2

  • Online ISBN: 978-3-319-67561-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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