April 2014
Volume 55, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2014
Retinal vessel architecture in retinoblastoma pre and post treatment
Author Affiliations & Notes
  • Clare Wilson
    Ophthalmology Department, Great Ormond Street Hospital, London, United Kingdom
    Department of Vision Science, UCL Institute of Ophthalmology, London, United Kingdom
  • Karen Wong
    Ophthalmology, Barts Health, London, United Kingdom
  • M. S Sagoo
    Ophthalmology, Barts Health, London, United Kingdom
  • M Ashwin Reddy
    Ophthalmology, Barts Health, London, United Kingdom
Investigative Ophthalmology & Visual Science April 2014, Vol.55, 3083. doi:
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      Clare Wilson, Karen Wong, M. S Sagoo, M Ashwin Reddy; Retinal vessel architecture in retinoblastoma pre and post treatment. Invest. Ophthalmol. Vis. Sci. 2014;55(13):3083.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose: This study aimed to quantify the vessel parameters including width and tortuosity in patients with retinoblastoma before and after treatment.

Methods: 20 RetCam images from 10 children diagnosed with retinoblastoma at Royal London Hospital were analysed. The sentinel vessel width and tortuosity values were analyzed with semi-automated software CAIAR (Computer Aided Image Analysis of Retina) at the time of diagnosis and after effective treatment. Data were analyzed with two tailed paired-t test.

Results: The mean width of sentinel vessel pre-treatment is 2.59 and post-treatment is 1.60 (p= 0.001; SD= 1.07); the mean tortuosity value of sentinel vessel pre-treatment is 2.55 and post treatment is 1.19 (p=0.011; SD= 2.02). The sentinel vessel width and tortuosity value were significantly less after effective treatment.

Conclusions: Prompt treatment is paramount to saving the eye and preventing death from metastasis in retinoblastoma. Retinal vessel width and tortuousity decreases with disease regression. Following further study, the quantification of retinal vessel architecture may be of use as a valuable screening tool, predictor of disease progression and assessment of treatment response in retinoblastoma patients.

Keywords: 703 retinoblastoma • 550 imaging/image analysis: clinical  
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