{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T05:39:41Z","timestamp":1785476381743,"version":"3.56.0"},"reference-count":23,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2017,10,9]],"date-time":"2017-10-09T00:00:00Z","timestamp":1507507200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Euro J of Neurology"],"published-print":{"date-parts":[[2017,12]]},"abstract":"<jats:sec><jats:title>Background and purpose<\/jats:title><jats:p>Multiple sclerosis\u2010associated optic neuritis (<jats:styled-content style=\"fixed-case\">MSON<\/jats:styled-content>) causes atrophy of the inner retinal layers, which can be quantified by optical coherence tomography. It has been suggested that the inter\u2010eye percentage difference (<jats:styled-content style=\"fixed-case\">IEPD<\/jats:styled-content>) of atrophy may be of diagnostic value in <jats:styled-content style=\"fixed-case\">MSON<\/jats:styled-content>.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This was a prospective, cross\u2010sectional study in patients with multiple sclerosis and healthy controls (<jats:styled-content style=\"fixed-case\">HCs<\/jats:styled-content>). Spectral\u2010domain optical coherence tomography of both eyes was performed, followed by automated retinal layer segmentation of the peri\u2010papillary retinal nerve fibre layer (<jats:styled-content style=\"fixed-case\">pRNFL<\/jats:styled-content>) and macular ganglion cell and inner plexiform layer (<jats:styled-content style=\"fixed-case\">mGCIPL<\/jats:styled-content>). Receiver operator characteristics curves were plotted and the area under the curve was calculated for group comparisons of the <jats:styled-content style=\"fixed-case\">IEPD<\/jats:styled-content> of the <jats:styled-content style=\"fixed-case\">pRNFL<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">mGCIPL<\/jats:styled-content>.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>There were 39 patients with bilateral <jats:styled-content style=\"fixed-case\">MSON<\/jats:styled-content>, 62 patients with unilateral <jats:styled-content style=\"fixed-case\">MSON<\/jats:styled-content>, 106 patients without <jats:styled-content style=\"fixed-case\">MSON<\/jats:styled-content> and 63 <jats:styled-content style=\"fixed-case\">HCs<\/jats:styled-content>. Diagnostic accuracy (area under the curve) of the <jats:styled-content style=\"fixed-case\">IEPD<\/jats:styled-content> was 0.73\u20130.86 for the <jats:styled-content style=\"fixed-case\">pRNFL<\/jats:styled-content> and 0.75\u20130.94 for the <jats:styled-content style=\"fixed-case\">mGCIPL<\/jats:styled-content>. The diagnostic sensitivity of the <jats:styled-content style=\"fixed-case\">mGCIPL IEPD<\/jats:styled-content> was 70% with a specificity of 97% for distinguishing unilateral <jats:styled-content style=\"fixed-case\">MSON<\/jats:styled-content> from <jats:styled-content style=\"fixed-case\">HCs<\/jats:styled-content>. For the comparison of bilateral <jats:styled-content style=\"fixed-case\">MSON<\/jats:styled-content> with <jats:styled-content style=\"fixed-case\">HCs<\/jats:styled-content>, sensitivity was 86% with a specificity of 97%.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The <jats:styled-content style=\"fixed-case\">IEPD<\/jats:styled-content> of the <jats:styled-content style=\"fixed-case\">pRNFL,<\/jats:styled-content> and more particularly the <jats:styled-content style=\"fixed-case\">IEPD<\/jats:styled-content> of the <jats:styled-content style=\"fixed-case\">mGCIPL,<\/jats:styled-content> is a useful diagnostic measure for <jats:styled-content style=\"fixed-case\">MSON<\/jats:styled-content>. The <jats:styled-content style=\"fixed-case\">IEPD<\/jats:styled-content> is a dimensionless unit and may therefore contribute to overcome device and proprietary segmentation algorithm limitations.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ene.13443","type":"journal-article","created":{"date-parts":[[2017,9,9]],"date-time":"2017-09-09T02:36:37Z","timestamp":1504924597000},"page":"1479-1484","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":58,"title":["Diagnostic accuracy of optical coherence tomography inter\u2010eye percentage difference for optic neuritis in multiple sclerosis"],"prefix":"10.1111","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0106-9336","authenticated-orcid":false,"given":"D.","family":"Coric","sequence":"first","affiliation":[{"name":"Department of Neurology VU University Medical Center Amsterdam Amsterdam the Netherlands"},{"name":"Expertise\u2010Center Neuro\u2010Ophthalmology VU University Medical Center Amsterdam Amsterdam the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"L. 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