Literature DB >> 8944187

A new computer assisted objective method for quantifying vascular changes of the bulbar conjunctivae.

C G Owen1, F W Fitzke, E G Woodward.   

Abstract

A novel computer software method was used to quantify the conjunctival plexus on the scleral background for measurement of the vascular surface area from photographs. A previously described method was used (Palmer, J. R., Owen, C. G., Ford, A. M., Jacobson, R. E. and Woodward, E. G. (1996). Optimal photographic imaging of the bulbar conjunctival vasculature. Ophthal. Physiol. Opt. 16, 144-149) to optimise photographic imaging of the bulbar conjuctival vasculature by increasing the information content in the image. Repeatability of this technique was evaluated. Twenty subjects (20 eyes) free from ophthalmological and systemic abnormality were examined on two separate occasions. The maximum 95% confidence limits for repeatability are +8.58/-3.95%. For 10 consecutive estimates of vascularity the maximum 95% confidence interval lie between +/- 6.54%. To evaluate the technique the lateral-bulbar conjunctivaein 10 soft (SCL) and 10 rigid gas permeable contact lens (RGPCL) wearers during the first 10 months of contact lens wear, were assessed and compared with subjective grading of hyperaemia. The new method showed sufficient sensitivity in detecting increased hyperaemia in the RGPCL wearing group and demonstrated statistically significant change. Subjective graded assessment of vascularity (using established classifications) detected increased hyperaemia, however, this was not statistically significant. Conjunctival vasculature is a dynamic structure and a source of valuable quantitative information where the ocular environment is varied, or where the ocular surface is affected by disease. Hence it is worthy of further investigation. A simple inexpensive method of computer assisted determination of vascularity is described.

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Year:  1996        PMID: 8944187

Source DB:  PubMed          Journal:  Ophthalmic Physiol Opt        ISSN: 0275-5408            Impact factor:   3.117


  8 in total

1.  Sensitivity and reliability of objective image analysis compared to subjective grading of bulbar hyperaemia.

Authors:  Rachael Claire Peterson; James Stuart Wolffsohn
Journal:  Br J Ophthalmol       Date:  2007-05-02       Impact factor: 4.638

2.  Automated hyperemia analysis software: reliability and reproducibility in healthy subjects.

Authors:  Tsuyoshi Yoneda; Tamaki Sumi; Ayako Takahashi; Yasuhiro Hoshikawa; Masahiko Kobayashi; Atsuki Fukushima
Journal:  Jpn J Ophthalmol       Date:  2011-12-01       Impact factor: 2.447

3.  Incremental nature of anterior eye grading scales determined by objective image analysis.

Authors:  J S Wolffsohn
Journal:  Br J Ophthalmol       Date:  2004-11       Impact factor: 4.638

4.  Altered Bulbar Conjunctival Microcirculation in Response to Contact Lens Wear.

Authors:  Wan Chen; Zhe Xu; Hong Jiang; Jin Zhou; Liang Wang; Jianhua Wang
Journal:  Eye Contact Lens       Date:  2017-03       Impact factor: 2.018

5.  Validation of Computerized Quantification of Ocular Redness.

Authors:  Ekaterina Sirazitdinova; Marlies Gijs; Christian J F Bertens; Tos T J M Berendschot; Rudy M M A Nuijts; Thomas M Deserno
Journal:  Transl Vis Sci Technol       Date:  2019-12-12       Impact factor: 3.283

6.  Comparison of different smartphone cameras to evaluate conjunctival hyperaemia in normal subjects.

Authors:  Carles Otero; Nery García-Porta; Juan Tabernero; Shahina Pardhan
Journal:  Sci Rep       Date:  2019-02-04       Impact factor: 4.379

7.  Advances in Dry Eye Disease Examination Techniques.

Authors:  Yaying Wu; Chunyang Wang; Xin Wang; Yujie Mou; Kelan Yuan; Xiaodan Huang; Xiuming Jin
Journal:  Front Med (Lausanne)       Date:  2022-01-25

8.  Automated grading system for evaluation of ocular redness associated with dry eye.

Authors:  John D Rodriguez; Patrick R Johnston; George W Ousler; Lisa M Smith; Mark B Abelson
Journal:  Clin Ophthalmol       Date:  2013-06-20
  8 in total

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