Optical coherence tomography angiography helps distinguish multiple sclerosis from AQP4‐IgG‐seropositive neuromyelitis optica spectrum disorder

Introduction The aim was to characterize the optical coherence tomography (OCT) angiography measures in patients with multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) and to evaluate their disease discrimination capacity. Methods Patients with MS (n = 83) and AQP4‐IgG‐serop...

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Veröffentlicht in:Brain and behavior 2021-05, Vol.11 (5), p.e02125-n/a, Article 02125
Hauptverfasser: Liu, Chunxin, Xiao, Hui, Zhang, Xiayin, Zhao, Yipeng, Li, Rui, Zhong, Xiaonan, Wang, Yuge, Shu, Yaqing, Chang, Yanyu, Wang, Jingqi, Li, Caixia, Lin, Haotian, Qiu, Wei
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container_title Brain and behavior
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creator Liu, Chunxin
Xiao, Hui
Zhang, Xiayin
Zhao, Yipeng
Li, Rui
Zhong, Xiaonan
Wang, Yuge
Shu, Yaqing
Chang, Yanyu
Wang, Jingqi
Li, Caixia
Lin, Haotian
Qiu, Wei
description Introduction The aim was to characterize the optical coherence tomography (OCT) angiography measures in patients with multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) and to evaluate their disease discrimination capacity. Methods Patients with MS (n = 83) and AQP4‐IgG‐seropositive NMOSD (n = 91) with or without a history of optic neuritis, together with healthy controls (n = 34), were imaged. The main outcome measures were peripapillary retinal nerve fiber layer (pRNFL) thickness, macular ganglion cell‐inner plexiform layer (GC‐IPL) thickness, macular vessel density (VD), and perfusion density (PD) in the superficial capillary plexus. Diagnostic accuracy was assessed using the area under the receiver operating characteristics curve. Results Compared with patients with MS, those with NMOSD had a significantly smaller average thickness of the pRNFL and GC‐IPL (80.0 [59.0; 95.8] μm versus 92.0 [80.2; 101] μm, p 
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fullrecord <record><control><sourceid>proquest_webof</sourceid><recordid>TN_cdi_webofscience_primary_000634875000001CitationCount</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_924ec1af10214ea1a0664cece14c5548</doaj_id><sourcerecordid>2507145609</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5095-b9f4d187f0eb13334f68408f0e9eaf72b1b1640410bf66080fc1c2ca062f850c3</originalsourceid><addsrcrecordid>eNqNkt9qFDEUxgdRbKm98AUk4I0i2yaZzL8boV20LhSqotchkz2ZzZKZjMlMZe98BME39Ek8s7tdWkFwLjJJzi9fviRfkjxn9IxRys_rUKdnnPHsUXLMWc5nKS-qx_f6R8lpjGuKX8YEF_RpcpSmRSkoL46TXzf9YLVyRPsVBOg0kMG3vgmqX22I6hp711-B6yNZ2jjYrhltXJF2dIPtHZCoHQQfbSQm-JZcfPoofv_4uWiusI1Y6bE22FsgHYwIbMDhMBK_3ZrEHvQQxnbS9mEJ4VnyxCgX4XT_P0m-vn_3Zf5hdn1ztZhfXM90RqtsVldGLFlZGAo1S9NUmBwPVeKwAmUKXrOa5YIKRmuT57SkRjPNtaI5N2VGdXqSLHa6S6_Wsg-2VWEjvbJyO-FDI1VAiw5kxQVopgyjnAlQDEVyoUEDEzrLRIlab3da_Vi3sNTQDUG5B6IPK51dycbfypKxqqgKFHi1Fwj-2whxkK2NGpxTHfgxSp7RgokspxWiL_9C134MHV4VUjzP0CNPkXq9ozQ-TQxgDmYYlVNy5JQcOSUH2Rf33R_Iu5wgUO6A71B7E7WdknLAMFp5Ksoim0JG2dwOarC-m_uxG3Dpm_9fivT5nrYONv-2LC8_X6Zb738AkljzLA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2526502123</pqid></control><display><type>article</type><title>Optical coherence tomography angiography helps distinguish multiple sclerosis from AQP4‐IgG‐seropositive neuromyelitis optica spectrum disorder</title><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Access via Wiley Online Library</source><source>Web of Science - Science Citation Index Expanded - 2021&lt;img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /&gt;</source><source>Wiley Online Library (Open Access Collection)</source><source>PubMed Central</source><creator>Liu, Chunxin ; Xiao, Hui ; Zhang, Xiayin ; Zhao, Yipeng ; Li, Rui ; Zhong, Xiaonan ; Wang, Yuge ; Shu, Yaqing ; Chang, Yanyu ; Wang, Jingqi ; Li, Caixia ; Lin, Haotian ; Qiu, Wei</creator><creatorcontrib>Liu, Chunxin ; Xiao, Hui ; Zhang, Xiayin ; Zhao, Yipeng ; Li, Rui ; Zhong, Xiaonan ; Wang, Yuge ; Shu, Yaqing ; Chang, Yanyu ; Wang, Jingqi ; Li, Caixia ; Lin, Haotian ; Qiu, Wei</creatorcontrib><description>Introduction The aim was to characterize the optical coherence tomography (OCT) angiography measures in patients with multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) and to evaluate their disease discrimination capacity. Methods Patients with MS (n = 83) and AQP4‐IgG‐seropositive NMOSD (n = 91) with or without a history of optic neuritis, together with healthy controls (n = 34), were imaged. The main outcome measures were peripapillary retinal nerve fiber layer (pRNFL) thickness, macular ganglion cell‐inner plexiform layer (GC‐IPL) thickness, macular vessel density (VD), and perfusion density (PD) in the superficial capillary plexus. Diagnostic accuracy was assessed using the area under the receiver operating characteristics curve. Results Compared with patients with MS, those with NMOSD had a significantly smaller average thickness of the pRNFL and GC‐IPL (80.0 [59.0; 95.8] μm versus 92.0 [80.2; 101] μm, p &lt; .001; 68.0 [56.0; 81.0] μm, versus 74.5 [64.2; 81.0] μm, p &lt; .001) and significantly smaller whole VD and PD areas (15.6 [12.6; 17.0] mm−1 versus 16.7 [14.8; 17.7] mm−1, p &lt; .001; 0.38 [0.31; 0.42] mm−1 versus 0.40 [0.37; 0.43] mm−1, p &lt; .01). The combination of structural parameters (average thickness of the pRNFL and GC‐IPL) with microvascular parameters (temporal‐inner quadrant of VD, temporal‐inner, nasal‐inferior, and nasal‐outer quadrant of PD) was revealed to have a good diagnostic capability for discriminating between NMOSD and MS. Conclusions OCT angiography reveals different structural and microvascular retinal changes in MS and AQP4‐IgG‐seropositive NMOSD. These combined structural and microvascular parameters might be promising biomarkers for disease diagnosis. In summary, our study compared the structure and flow between patients with MS and those with AQP4‐IgG‐positive NMOSD, indicating pathophysiological differences between them and suggesting that OCTA may have an additive effect as a biomarker in conjunction with routine OCT measurements. Combining OCTA and OCT may yield promising diagnostic properties in distinguishing both diseases.</description><identifier>ISSN: 2162-3279</identifier><identifier>EISSN: 2162-3279</identifier><identifier>DOI: 10.1002/brb3.2125</identifier><identifier>PMID: 33784027</identifier><language>eng</language><publisher>HOBOKEN: Wiley</publisher><subject>Behavioral Sciences ; Disease ; Eye surgery ; Life Sciences &amp; Biomedicine ; Medical imaging ; Multiple sclerosis ; neuromyelitis optica spectrum disorder ; Neurosciences ; Neurosciences &amp; Neurology ; Optic nerve ; optical coherence tomography angiography ; Optics ; Original Research ; Patients ; Science &amp; Technology ; Spinal cord ; Tomography</subject><ispartof>Brain and behavior, 2021-05, Vol.11 (5), p.e02125-n/a, Article 02125</ispartof><rights>2021 The Authors. Brain and Behavior published by Wiley Periodicals LLC</rights><rights>2021 The Authors. Brain and Behavior published by Wiley Periodicals LLC.</rights><rights>2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>15</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000634875000001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c5095-b9f4d187f0eb13334f68408f0e9eaf72b1b1640410bf66080fc1c2ca062f850c3</citedby><cites>FETCH-LOGICAL-c5095-b9f4d187f0eb13334f68408f0e9eaf72b1b1640410bf66080fc1c2ca062f850c3</cites><orcidid>0000-0002-0880-958X ; 0000-0003-1017-2554 ; 0000-0002-3226-1008</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119797/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119797/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,1418,2103,2115,11567,27929,27930,39263,45579,45580,46057,46481,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33784027$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Chunxin</creatorcontrib><creatorcontrib>Xiao, Hui</creatorcontrib><creatorcontrib>Zhang, Xiayin</creatorcontrib><creatorcontrib>Zhao, Yipeng</creatorcontrib><creatorcontrib>Li, Rui</creatorcontrib><creatorcontrib>Zhong, Xiaonan</creatorcontrib><creatorcontrib>Wang, Yuge</creatorcontrib><creatorcontrib>Shu, Yaqing</creatorcontrib><creatorcontrib>Chang, Yanyu</creatorcontrib><creatorcontrib>Wang, Jingqi</creatorcontrib><creatorcontrib>Li, Caixia</creatorcontrib><creatorcontrib>Lin, Haotian</creatorcontrib><creatorcontrib>Qiu, Wei</creatorcontrib><title>Optical coherence tomography angiography helps distinguish multiple sclerosis from AQP4‐IgG‐seropositive neuromyelitis optica spectrum disorder</title><title>Brain and behavior</title><addtitle>BRAIN BEHAV</addtitle><addtitle>Brain Behav</addtitle><description>Introduction The aim was to characterize the optical coherence tomography (OCT) angiography measures in patients with multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) and to evaluate their disease discrimination capacity. Methods Patients with MS (n = 83) and AQP4‐IgG‐seropositive NMOSD (n = 91) with or without a history of optic neuritis, together with healthy controls (n = 34), were imaged. The main outcome measures were peripapillary retinal nerve fiber layer (pRNFL) thickness, macular ganglion cell‐inner plexiform layer (GC‐IPL) thickness, macular vessel density (VD), and perfusion density (PD) in the superficial capillary plexus. Diagnostic accuracy was assessed using the area under the receiver operating characteristics curve. Results Compared with patients with MS, those with NMOSD had a significantly smaller average thickness of the pRNFL and GC‐IPL (80.0 [59.0; 95.8] μm versus 92.0 [80.2; 101] μm, p &lt; .001; 68.0 [56.0; 81.0] μm, versus 74.5 [64.2; 81.0] μm, p &lt; .001) and significantly smaller whole VD and PD areas (15.6 [12.6; 17.0] mm−1 versus 16.7 [14.8; 17.7] mm−1, p &lt; .001; 0.38 [0.31; 0.42] mm−1 versus 0.40 [0.37; 0.43] mm−1, p &lt; .01). The combination of structural parameters (average thickness of the pRNFL and GC‐IPL) with microvascular parameters (temporal‐inner quadrant of VD, temporal‐inner, nasal‐inferior, and nasal‐outer quadrant of PD) was revealed to have a good diagnostic capability for discriminating between NMOSD and MS. Conclusions OCT angiography reveals different structural and microvascular retinal changes in MS and AQP4‐IgG‐seropositive NMOSD. These combined structural and microvascular parameters might be promising biomarkers for disease diagnosis. In summary, our study compared the structure and flow between patients with MS and those with AQP4‐IgG‐positive NMOSD, indicating pathophysiological differences between them and suggesting that OCTA may have an additive effect as a biomarker in conjunction with routine OCT measurements. Combining OCTA and OCT may yield promising diagnostic properties in distinguishing both diseases.</description><subject>Behavioral Sciences</subject><subject>Disease</subject><subject>Eye surgery</subject><subject>Life Sciences &amp; Biomedicine</subject><subject>Medical imaging</subject><subject>Multiple sclerosis</subject><subject>neuromyelitis optica spectrum disorder</subject><subject>Neurosciences</subject><subject>Neurosciences &amp; Neurology</subject><subject>Optic nerve</subject><subject>optical coherence tomography angiography</subject><subject>Optics</subject><subject>Original Research</subject><subject>Patients</subject><subject>Science &amp; Technology</subject><subject>Spinal cord</subject><subject>Tomography</subject><issn>2162-3279</issn><issn>2162-3279</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>HGBXW</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><sourceid>DOA</sourceid><recordid>eNqNkt9qFDEUxgdRbKm98AUk4I0i2yaZzL8boV20LhSqotchkz2ZzZKZjMlMZe98BME39Ek8s7tdWkFwLjJJzi9fviRfkjxn9IxRys_rUKdnnPHsUXLMWc5nKS-qx_f6R8lpjGuKX8YEF_RpcpSmRSkoL46TXzf9YLVyRPsVBOg0kMG3vgmqX22I6hp711-B6yNZ2jjYrhltXJF2dIPtHZCoHQQfbSQm-JZcfPoofv_4uWiusI1Y6bE22FsgHYwIbMDhMBK_3ZrEHvQQxnbS9mEJ4VnyxCgX4XT_P0m-vn_3Zf5hdn1ztZhfXM90RqtsVldGLFlZGAo1S9NUmBwPVeKwAmUKXrOa5YIKRmuT57SkRjPNtaI5N2VGdXqSLHa6S6_Wsg-2VWEjvbJyO-FDI1VAiw5kxQVopgyjnAlQDEVyoUEDEzrLRIlab3da_Vi3sNTQDUG5B6IPK51dycbfypKxqqgKFHi1Fwj-2whxkK2NGpxTHfgxSp7RgokspxWiL_9C134MHV4VUjzP0CNPkXq9ozQ-TQxgDmYYlVNy5JQcOSUH2Rf33R_Iu5wgUO6A71B7E7WdknLAMFp5Ksoim0JG2dwOarC-m_uxG3Dpm_9fivT5nrYONv-2LC8_X6Zb738AkljzLA</recordid><startdate>202105</startdate><enddate>202105</enddate><creator>Liu, Chunxin</creator><creator>Xiao, Hui</creator><creator>Zhang, Xiayin</creator><creator>Zhao, Yipeng</creator><creator>Li, Rui</creator><creator>Zhong, Xiaonan</creator><creator>Wang, Yuge</creator><creator>Shu, Yaqing</creator><creator>Chang, Yanyu</creator><creator>Wang, Jingqi</creator><creator>Li, Caixia</creator><creator>Lin, Haotian</creator><creator>Qiu, Wei</creator><general>Wiley</general><general>John Wiley &amp; Sons, Inc</general><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>WIN</scope><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-0880-958X</orcidid><orcidid>https://orcid.org/0000-0003-1017-2554</orcidid><orcidid>https://orcid.org/0000-0002-3226-1008</orcidid></search><sort><creationdate>202105</creationdate><title>Optical coherence tomography angiography helps distinguish multiple sclerosis from AQP4‐IgG‐seropositive neuromyelitis optica spectrum disorder</title><author>Liu, Chunxin ; Xiao, Hui ; Zhang, Xiayin ; Zhao, Yipeng ; Li, Rui ; Zhong, Xiaonan ; Wang, Yuge ; Shu, Yaqing ; Chang, Yanyu ; Wang, Jingqi ; Li, Caixia ; Lin, Haotian ; Qiu, Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5095-b9f4d187f0eb13334f68408f0e9eaf72b1b1640410bf66080fc1c2ca062f850c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Behavioral Sciences</topic><topic>Disease</topic><topic>Eye surgery</topic><topic>Life Sciences &amp; Biomedicine</topic><topic>Medical imaging</topic><topic>Multiple sclerosis</topic><topic>neuromyelitis optica spectrum disorder</topic><topic>Neurosciences</topic><topic>Neurosciences &amp; Neurology</topic><topic>Optic nerve</topic><topic>optical coherence tomography angiography</topic><topic>Optics</topic><topic>Original Research</topic><topic>Patients</topic><topic>Science &amp; Technology</topic><topic>Spinal cord</topic><topic>Tomography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Chunxin</creatorcontrib><creatorcontrib>Xiao, Hui</creatorcontrib><creatorcontrib>Zhang, Xiayin</creatorcontrib><creatorcontrib>Zhao, Yipeng</creatorcontrib><creatorcontrib>Li, Rui</creatorcontrib><creatorcontrib>Zhong, Xiaonan</creatorcontrib><creatorcontrib>Wang, Yuge</creatorcontrib><creatorcontrib>Shu, Yaqing</creatorcontrib><creatorcontrib>Chang, Yanyu</creatorcontrib><creatorcontrib>Wang, Jingqi</creatorcontrib><creatorcontrib>Li, Caixia</creatorcontrib><creatorcontrib>Lin, Haotian</creatorcontrib><creatorcontrib>Qiu, Wei</creatorcontrib><collection>Wiley Online Library (Open Access Collection)</collection><collection>Wiley Online Library (Open Access Collection)</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; 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Medical Collection (Alumni Edition)</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Brain and behavior</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Chunxin</au><au>Xiao, Hui</au><au>Zhang, Xiayin</au><au>Zhao, Yipeng</au><au>Li, Rui</au><au>Zhong, Xiaonan</au><au>Wang, Yuge</au><au>Shu, Yaqing</au><au>Chang, Yanyu</au><au>Wang, Jingqi</au><au>Li, Caixia</au><au>Lin, Haotian</au><au>Qiu, Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optical coherence tomography angiography helps distinguish multiple sclerosis from AQP4‐IgG‐seropositive neuromyelitis optica spectrum disorder</atitle><jtitle>Brain and behavior</jtitle><stitle>BRAIN BEHAV</stitle><addtitle>Brain Behav</addtitle><date>2021-05</date><risdate>2021</risdate><volume>11</volume><issue>5</issue><spage>e02125</spage><epage>n/a</epage><pages>e02125-n/a</pages><artnum>02125</artnum><issn>2162-3279</issn><eissn>2162-3279</eissn><abstract>Introduction The aim was to characterize the optical coherence tomography (OCT) angiography measures in patients with multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) and to evaluate their disease discrimination capacity. Methods Patients with MS (n = 83) and AQP4‐IgG‐seropositive NMOSD (n = 91) with or without a history of optic neuritis, together with healthy controls (n = 34), were imaged. The main outcome measures were peripapillary retinal nerve fiber layer (pRNFL) thickness, macular ganglion cell‐inner plexiform layer (GC‐IPL) thickness, macular vessel density (VD), and perfusion density (PD) in the superficial capillary plexus. Diagnostic accuracy was assessed using the area under the receiver operating characteristics curve. Results Compared with patients with MS, those with NMOSD had a significantly smaller average thickness of the pRNFL and GC‐IPL (80.0 [59.0; 95.8] μm versus 92.0 [80.2; 101] μm, p &lt; .001; 68.0 [56.0; 81.0] μm, versus 74.5 [64.2; 81.0] μm, p &lt; .001) and significantly smaller whole VD and PD areas (15.6 [12.6; 17.0] mm−1 versus 16.7 [14.8; 17.7] mm−1, p &lt; .001; 0.38 [0.31; 0.42] mm−1 versus 0.40 [0.37; 0.43] mm−1, p &lt; .01). The combination of structural parameters (average thickness of the pRNFL and GC‐IPL) with microvascular parameters (temporal‐inner quadrant of VD, temporal‐inner, nasal‐inferior, and nasal‐outer quadrant of PD) was revealed to have a good diagnostic capability for discriminating between NMOSD and MS. Conclusions OCT angiography reveals different structural and microvascular retinal changes in MS and AQP4‐IgG‐seropositive NMOSD. These combined structural and microvascular parameters might be promising biomarkers for disease diagnosis. In summary, our study compared the structure and flow between patients with MS and those with AQP4‐IgG‐positive NMOSD, indicating pathophysiological differences between them and suggesting that OCTA may have an additive effect as a biomarker in conjunction with routine OCT measurements. Combining OCTA and OCT may yield promising diagnostic properties in distinguishing both diseases.</abstract><cop>HOBOKEN</cop><pub>Wiley</pub><pmid>33784027</pmid><doi>10.1002/brb3.2125</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-0880-958X</orcidid><orcidid>https://orcid.org/0000-0003-1017-2554</orcidid><orcidid>https://orcid.org/0000-0002-3226-1008</orcidid><oa>free_for_read</oa></addata></record>
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subjects Behavioral Sciences
Disease
Eye surgery
Life Sciences & Biomedicine
Medical imaging
Multiple sclerosis
neuromyelitis optica spectrum disorder
Neurosciences
Neurosciences & Neurology
Optic nerve
optical coherence tomography angiography
Optics
Original Research
Patients
Science & Technology
Spinal cord
Tomography
title Optical coherence tomography angiography helps distinguish multiple sclerosis from AQP4‐IgG‐seropositive neuromyelitis optica spectrum disorder
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