December 2002
Volume 43, Issue 13
Free
ARVO Annual Meeting Abstract  |   December 2002
Semi-automated computer analysis of vessel growth in Preterm Infants with ROP
Author Affiliations & Notes
  • CR Swanson
    Department of Ophthalmology Faculty of Medicine Imperial College of Science Technology and Medicine London United Kingdom
  • KD Cocker
    Department of Ophthalmology Faculty of Medicine Imperial College of Science Technology and Medicine London United Kingdom
  • KH Parker
    Department of Bioengineering Imperial College of Science Technology and Medicine London United Kingdom
  • MJ Moseley
    Department of Ophthalmology Faculty of Medicine Imperial College of Science Technology and Medicine London United Kingdom
  • SM E Wren
    Department of Ophthalmology Faculty of Medicine Imperial College of Science Technology and Medicine London United Kingdom
  • AR Fielder
    Department of Ophthalmology Faculty of Medicine Imperial College of Science Technology and Medicine London United Kingdom
  • Footnotes
    Commercial Relationships   C.R. Swanson, None; K.D. Cocker, None; K.H. Parker, None; M.J. Moseley, None; S.M.E. Wren, None; A.R. Fielder, None.
Investigative Ophthalmology & Visual Science December 2002, Vol.43, 1250. doi:
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    • Get Citation

      CR Swanson, KD Cocker, KH Parker, MJ Moseley, SM E Wren, AR Fielder; Semi-automated computer analysis of vessel growth in Preterm Infants with ROP . Invest. Ophthalmol. Vis. Sci. 2002;43(13):1250.

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Abstract

Abstract: : Purpose: To quantify morphology in the principal retinal vessels of preterm infants before and during the development of retinopathy of prematurity (ROP). Methods: 76 retinal images were obtained from the left eyes of ten preterm infants (gestational age range: 24-29 weeks) undergoing regular screening examinations for ROP with a Retcam 120 digital fundus camera (Massie Labs, Dublin, CA). An independent examiner recorded the presence, location and severity of ROP at each examination. A semi-automated digital computer analysis technique for quantification of adult vasculature (Martinez-Perez, PhD thesis, Imperial College, 2001) was used to measure vessel dimensions and morphology. Analysis was restricted to the most prominent arterioles and venules within an area of radius 4.5mm (150 image pixels) centered on the optic disc. Results: In general, since arterioles are narrower than venules, they were not as amenable to analysis, particularly in infants younger than 31 weeks post-menstrual age. Mean vessel diameter (std error) averaged across all examinations was 77.41.7 µm for arterioles and 70.02.9 µm for venules. Mean arteriolar tortuosity (true length of vessel/straight-line distance covered) for the whole group was 1.140.02. One infant in the group progressed from no ROP to threshold. From this individual two arterioles and two venules were measured in all exams. These increased in diameter from 53.0 µm to 75.0 µm (42%) and 71.0 µm to 92.1 µm (30%) respectively. Arteriolar tortuosity increased from 1.08 to 1.12 (4.2%). Conclusion: We have shown that it is possible to acquire measurements of both diameter and tortuosity of retinal vasculature from digital images of the premature retina. Several factors contributed to variability in the data: image blur, image illumination (evenness and overall level) and the precise location of the optic disc border. In a few instances it was difficult to differentiate retinal vessels from prominent choroidal vasculature. Further refinements in image pre-processing and analysis should provide quantitative information on specific changes in vessel morphology appropriate to studies of retinovascular development in preterm infants with and without ROP.

Keywords: 572 retinopathy of prematurity • 564 retinal development • 430 imaging/image analysis: clinical 
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