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Efficacy of a new automated method for quantification of corneal neovascularisation
  1. Young Jae Kim1,
  2. Hee Kyung Yang2,
  3. Yun Ji Lee3,
  4. Joon Young Hyon2,
  5. Kwang Gi Kim1,
  6. Sang Beom Han3
  1. 1Department of Biomedical Engineering, Gachon University College of Medicine, Incheon, The Republic of Korea
  2. 2Department of Ophthalmology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, The Republic of Korea
  3. 3Department of Ophthalmology, Kangwon National University School of Medicine, Kangwon National University Hospital, Chuncheon, The Republic of Korea
  1. Correspondence to Professor Sang Beom Han, Department of Ophthalmology, Kangwon National University Hospital, Chuncheon 200-722, Korea; msbhan{at}nate.com; Professor Kwang Gi Kim; kimkg{at}gachon.ac.kr

Abstract

Background/aims To evaluate the efficacy of a new automated method for quantification of corneal neovascularisation (NV).

Methods An in-house software for automated measurement of corneal NV was developed. Anterior segment photographs (ASPs) of 81 consecutive patients with corneal NV were analysed using our newly developed software. Manual measurements were performed by three independent examiners using ImageJ software V.1.48 (National Institute of Health, Bethesda, Maryland, USA). Interobserver reliability of the automated and manual methods, and correlations between the results of both methods were evaluated.

Results The automated method showed a strong interexaminer reliability (intraclass correlation coefficient (ICC)=0.994), which was slightly better than the manual method (ICC=0.958). A significant correlation was found between the results of both methods (p<0.001 for all three examiners). The time spent for analysis of each ASP was significantly reduced in the automated method compared with the manual method (p<0.001 for all three examiners).

Conclusions Our newly developed automated method for quantification of corneal NV was more reproducible and time-saving compared with the manual method. Our method can be useful for diagnosis and monitoring diseases causing corneal NV.

  • cornea
  • neovascularisation
  • imaging
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Footnotes

  • YJK and HKY are equivalent first authors.

  • Contributors (1) Substantial contributions to the conception (HKY, YJL and SBH) or design (YJK, JYH, KGK and SBH) of the work, or the acquisition (YJK, HKY and YJL), analysis (JYH, KGK and SBH) or interpretation (YJK, KGK and SBH) of data.(2) Drafting the work (YJK, HKY and YJL) or revising it critically (JYH, KGK and SBH) for important intellectual content. (3) Final approval of the version published (YJK, HKY, YJL, JYH, KGK and SBH).(4) Agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved (YJK, HKY, YJL, JYH, KGK and SBH).

  • Funding This work was supported by the Basic Science Research Programme through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (Grant No. NRF-2017R1D1A1B03029983).

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Ethics approval Institutional Review Board (IRB) of Kangwon National University Hospital, and the waiver of consent was approved by the IRB.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement Data are available upon request. All data relevant to the study are included in the article or uploaded as supplementary information.

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