Literature DB >> 12883349

Technique of area measurement of epithelial defects.

Nitin Mukerji1, Rasik B Vajpayee, Namrata Sharma.   

Abstract

PURPOSE: To compare two commonly used methods of area measurement of corneal epithelial defects, namely, estimation of the area of an equivalent rectangle and use of image analysis software, the gold standard.
METHODS: Thirty-eight patients with corneal epithelial defects were evaluated. The largest linear dimension of the epithelial defect and its largest possible perpendicular within the confines of the epithelial defect were measured using a slit lamp. The area was then measured using digital photographs and image analysis software. A paired sample t test was used to compare the results.
RESULTS: The two measurements of area correlated well (P = 0.84); their difference was insignificant (P = 0.063) and a linear regression relation between the two could be derived with an r2 value of 0.71, which was significant.
CONCLUSIONS: Accurate slit-lamp measurements with estimation of the area of an equivalent rectangle can safely be used as a measure of the epithelial defect size when sophisticated image analysis software is not available.

Entities:  

Mesh:

Year:  2003        PMID: 12883349     DOI: 10.1097/00003226-200308000-00012

Source DB:  PubMed          Journal:  Cornea        ISSN: 0277-3740            Impact factor:   2.651


  8 in total

1.  Novel Image-Based Analysis for Reduction of Clinician-Dependent Variability in Measurement of the Corneal Ulcer Size.

Authors:  Tapan P Patel; N Venkatesh Prajna; Sina Farsiu; Nita G Valikodath; Leslie M Niziol; Lakshey Dudeja; Kyeong Hwan Kim; Maria A Woodward
Journal:  Cornea       Date:  2018-03       Impact factor: 2.651

2.  Evaluation of fungal keratitis using a newly developed computer program, Optscore, for grading digital corneal photographs.

Authors:  Christine M Toutain-Kidd; Travis C Porco; Eric M Kidd; M Srinivasan; Namperumalsamy V Prajna; Nisha Acharya; Thomas Lietman; Michael E Zegans
Journal:  Ophthalmic Epidemiol       Date:  2014-02       Impact factor: 1.648

3.  Open-Source Automatic Segmentation of Ocular Structures and Biomarkers of Microbial Keratitis on Slit-Lamp Photography Images Using Deep Learning.

Authors:  Jessica Loo; Matthias F Kriegel; Megan M Tuohy; Kyeong Hwan Kim; Venkatesh Prajna; Maria A Woodward; Sina Farsiu
Journal:  IEEE J Biomed Health Inform       Date:  2021-01-05       Impact factor: 5.772

4.  Undiluted Serum Eye Drops for the Treatment of Persistent Corneal Epitheilal Defects.

Authors:  Kaevalin Lekhanont; Passara Jongkhajornpong; Thunyarat Anothaisintawee; Varintorn Chuckpaiwong
Journal:  Sci Rep       Date:  2016-12-02       Impact factor: 4.379

5.  Comparison of clinical characteristics and antibiotic susceptibility between Pseudomonas aeruginosa and P. putida keratitis at a tertiary referral center: a retrospective study.

Authors:  Chan Ho Cho; Sang-Bumm Lee
Journal:  BMC Ophthalmol       Date:  2018-08-20       Impact factor: 2.209

6.  Clinical analysis of microbiologically proven fungal keratitis according to prior topical steroid use: a retrospective study in South Korea.

Authors:  Chan-Ho Cho; Sang-Bumm Lee
Journal:  BMC Ophthalmol       Date:  2019-10-16       Impact factor: 2.209

7.  Topical 100% serum eye drops for treating corneal epithelial defect after ocular surgery.

Authors:  Kaevalin Lekhanont; Passara Jongkhajornpong; Lulin Choubtum; Varintorn Chuckpaiwong
Journal:  Biomed Res Int       Date:  2013-07-30       Impact factor: 3.411

8.  Use of 'U-shaped tool for follow up of corneal ulcer cases in the COVID-19 pandemic.

Authors:  Rahul K Bafna; Abhijeet Beniwal; Nidhi Kalra; Suman Lata; Mohamed Ibrahime Asif; Namrata Sharma
Journal:  Indian J Ophthalmol       Date:  2020-10       Impact factor: 1.848

  8 in total

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