New Clinical Grading Scales and Objective Measurement for Conjunctival Injection
DC Field | Value | Language |
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dc.contributor.author | Park, In Ki | - |
dc.contributor.author | Chun, Yeoun Sook | - |
dc.contributor.author | Kim, Kwang Gi | - |
dc.contributor.author | Yang, Hee Kyung | - |
dc.contributor.author | Hwang, Jeong-Min | - |
dc.date.available | 2019-03-09T01:40:24Z | - |
dc.date.issued | 2013-08 | - |
dc.identifier.issn | 0146-0404 | - |
dc.identifier.issn | 1552-5783 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/14445 | - |
dc.description.abstract | PURPOSE. To establish a new clinical grading scale and objective measurement method to evaluate conjunctival injection. METHODS. Photographs of conjunctival injection with variable ocular diseases in 429 eyes were reviewed. Seventy-three images with concordance by three ophthalmologists were classified into a 4-step and 10-step subjective grading scale, and used as standard photographs. Each image was quantified in four ways: the relative magnitude of the redness component of each red-green-blue (RGB) pixel; two different algorithms based on the occupied area by blood vessels (K-means clustering with LAB color model and contrast-limited adaptive histogram equalization [CLAHE] algorithm); and the presence of blood vessel edges, based on the Canny edge-detection algorithm. Area under the receiver operating characteristic curves (AUCs) were calculated to summarize diagnostic accuracies of the four algorithms. RESULTS. The RGB color model, K-means clustering with LAB color model, and CLAHE algorithm showed good correlation with the clinical 10-step grading scale (R = 0.741, 0.784, 0.919, respectively) and with the clinical 4-step grading scale (R = 0.645, 0.702, 0.838, respectively). The CLAHE method showed the largest AUC, best distinction power (P < 0.001, ANOVA, Bonferroni multiple comparison test), and high reproducibility (R = 0.996). CONCLUSIONS. CLAHE algorithm showed the best correlation with the 10-step and 4-step subjective clinical grading scales together with high distinction power and reproducibility. CLAHE algorithm can be a useful for method for assessment of conjunctival injection. | - |
dc.format.extent | 9 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | ASSOC RESEARCH VISION OPHTHALMOLOGY INC | - |
dc.title | New Clinical Grading Scales and Objective Measurement for Conjunctival Injection | - |
dc.type | Article | - |
dc.identifier.doi | 10.1167/iovs.12-10678 | - |
dc.identifier.bibliographicCitation | INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, v.54, no.8, pp 5249 - 5257 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000325167200012 | - |
dc.identifier.scopusid | 2-s2.0-84881171816 | - |
dc.citation.endPage | 5257 | - |
dc.citation.number | 8 | - |
dc.citation.startPage | 5249 | - |
dc.citation.title | INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE | - |
dc.citation.volume | 54 | - |
dc.type.docType | Article | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | contrast-limited adaptive histogram equalization (CLAHE) | - |
dc.subject.keywordAuthor | conjunctival injection | - |
dc.subject.keywordAuthor | objective measurement | - |
dc.subject.keywordAuthor | standard photograph | - |
dc.subject.keywordAuthor | clinical grading | - |
dc.subject.keywordPlus | CONTACT-LENS COMPLICATIONS | - |
dc.subject.keywordPlus | BULBAR REDNESS | - |
dc.subject.keywordPlus | ENHANCEMENT | - |
dc.subject.keywordPlus | HYPEREMIA | - |
dc.subject.keywordPlus | ACCURACY | - |
dc.subject.keywordPlus | EYE | - |
dc.relation.journalResearchArea | Ophthalmology | - |
dc.relation.journalWebOfScienceCategory | Ophthalmology | - |
dc.description.journalRegisteredClass | sci | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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