{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T01:47:21Z","timestamp":1784598441341,"version":"3.55.0"},"reference-count":74,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2024,6,9]],"date-time":"2024-06-09T00:00:00Z","timestamp":1717891200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Optical coherence tomography (OCT) is a non-invasive imaging technique based on the principle of low-coherence interferometry that captures detailed images of ocular structures. Multiple sclerosis (MS) is a neurodegenerative disease that can lead to damage of the optic nerve and retina, which can be depicted by OCT. The purpose of this pilot study is to determine whether macular OCT can be used as a biomarker in the detection of retrochiasmal lesions of the visual pathway in MS patients. We conducted a prospective study in which we included 52 MS patients and 27 healthy controls. All participants underwent brain MRI, visual field testing, and OCT evaluation of the thicknesses of the peripapillary retinal nerve fiber layer (pRNFL), macular ganglion cell layer (GCL), and macular inner plexiform layer (IPL). OCT measurements were adjusted for optic neuritis (ON). VF demonstrated poor capability to depict a retrochiasmal lesion identified by brain MRI (PPV 0.50). In conclusion, the OCT analysis of the macula appears to excel in identifying retrochiasmal MS lesions compared to VF changes. The alterations in the GCL and IPL demonstrate the most accurate detection of retrochiasmal visual pathway changes in MS patients.<\/jats:p>","DOI":"10.3390\/diagnostics14121221","type":"journal-article","created":{"date-parts":[[2024,6,10]],"date-time":"2024-06-10T08:49:03Z","timestamp":1718009343000},"page":"1221","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Macular OCT\u2019s Proficiency in Identifying Retrochiasmal Visual Pathway Lesions in Multiple Sclerosis\u2014A Pilot Study"],"prefix":"10.3390","volume":"14","author":[{"given":"Larisa","family":"Cujb\u0103","sequence":"first","affiliation":[{"name":"Medical Doctoral School, University of Oradea, 410087 Oradea, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ana","family":"Banc","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, \u201cIuliu Hatieganu\u201d University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cristina","family":"Stan","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, \u201cIuliu Hatieganu\u201d University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0097-262X","authenticated-orcid":false,"given":"Tudor","family":"Drugan","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics and Biostatistics, \u201cIuliu Ha\u021bieganu\u201d University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3222-6448","authenticated-orcid":false,"given":"Cristina","family":"Nicula","sequence":"additional","affiliation":[{"name":"Department of Maxillo-Facial Surgery and Radiology, \u201cIuliu Ha\u021bieganu\u201d University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,6,9]]},"reference":[{"key":"ref_1","unstructured":"GBD 2016 Multiple Sclerosis Collaborators (2019). 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