Retinal vascular metrics difference by comparison of two image acquisition modes using a novel OCT angiography prototype
Purpose To assess the different impact of two enface OCTA image simultaneously acquired by means of a new prototype of Spectral-Domain Optical Coherence Tomography Angiography (SD-OCTA) on quantitative retinal vascular metrics. Methods In this prospective observational cross-sectional study 28 healt...
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| creator | Di Antonio, Luca Viggiano, Pasquale Ferro, Giada Toto, Lisa D'Aloisio, Rossella Porreca, Annamaria Di Nicola, Marta Mastropasqua, Rodolfo |
| description | Purpose
To assess the different impact of two enface OCTA image simultaneously acquired by means of a new prototype of Spectral-Domain Optical Coherence Tomography Angiography (SD-OCTA) on quantitative retinal vascular metrics.
Methods
In this prospective observational cross-sectional study 28 healthy subjects were enrolled. Macular (3x3 mm) OCTA images were acquired for all participants using Solix Fullrange OCT (Optovue Inc, Freemont CA, USA). The main outcome measurements were: Perfusion density (PD), vessel length density (VLD), and vessel diameter index (VDI) of both superficial capillary plexus (SCP) and deep capillary plexus (DCP), and choriocapillaris (CC) total flow-deficits area. Quantitative retinal vascular metrics were measured on binarized and skeletonized OCTA images by comparing not averaged and fast automated multiple averaged en face OCTA images.
Results
In both SCP and DCP, PD significantly increased (p = 0,005 and p = 0,030, respectively), and VLD significantly decreased (p |
| doi_str_mv | 10.1371/journal.pone.0243074 |
| format | Article |
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To assess the different impact of two enface OCTA image simultaneously acquired by means of a new prototype of Spectral-Domain Optical Coherence Tomography Angiography (SD-OCTA) on quantitative retinal vascular metrics.
Methods
In this prospective observational cross-sectional study 28 healthy subjects were enrolled. Macular (3x3 mm) OCTA images were acquired for all participants using Solix Fullrange OCT (Optovue Inc, Freemont CA, USA). The main outcome measurements were: Perfusion density (PD), vessel length density (VLD), and vessel diameter index (VDI) of both superficial capillary plexus (SCP) and deep capillary plexus (DCP), and choriocapillaris (CC) total flow-deficits area. Quantitative retinal vascular metrics were measured on binarized and skeletonized OCTA images by comparing not averaged and fast automated multiple averaged en face OCTA images.
Results
In both SCP and DCP, PD significantly increased (p = 0,005 and p = 0,030, respectively), and VLD significantly decreased (p<0,001 and p = 0,004, respectively), and VDI increased (p<0,001 and p = 0,068, respectively), and total CC flow deficits area significantly decreased (p<0,001) by averaging multiple OCTA images.
Conclusions
In this study, we found a significant difference of quantitative retinal metrics by comparing two different image acquisition modes using a novel and fully automated averaging OCTA system in young healthy subjects.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0243074</identifier><identifier>PMID: 33259557</identifier><language>eng</language><publisher>SAN FRANCISCO: Public Library Science</publisher><subject>Adult ; Aging ; Angiography ; Area ; Biology and Life Sciences ; Blood vessels ; CAT scans ; Computer and Information Sciences ; Density ; Diabetic retinopathy ; Diameters ; Engineering and Technology ; Female ; Humans ; Image acquisition ; Image Processing, Computer-Assisted - methods ; Laboratories ; Male ; Medical examination ; Medical imaging ; Medicine ; Medicine and Health Sciences ; Methods ; Multidisciplinary Sciences ; Optical Coherence Tomography ; Perfusion ; Prototypes ; Research and Analysis Methods ; Retina ; Retinal Vessels - cytology ; Retinal Vessels - diagnostic imaging ; Science & Technology ; Science & Technology - Other Topics ; Tomography, Optical Coherence</subject><ispartof>PloS one, 2020-12, Vol.15 (12), p.e0243074-e0243074, Article 0243074</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Di Antonio et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Di Antonio et al 2020 Di Antonio et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>15</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000596503200029</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c692t-913a4253cf35046a31b7d869cd90c254c58051c1ca69040379bf75153e14fee23</citedby><cites>FETCH-LOGICAL-c692t-913a4253cf35046a31b7d869cd90c254c58051c1ca69040379bf75153e14fee23</cites><orcidid>0000-0002-0323-967X</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/PMC7707478/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7707478/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2115,2929,23871,27929,27930,28253,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33259557$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Zhang, Yuhua</contributor><creatorcontrib>Di Antonio, Luca</creatorcontrib><creatorcontrib>Viggiano, Pasquale</creatorcontrib><creatorcontrib>Ferro, Giada</creatorcontrib><creatorcontrib>Toto, Lisa</creatorcontrib><creatorcontrib>D'Aloisio, Rossella</creatorcontrib><creatorcontrib>Porreca, Annamaria</creatorcontrib><creatorcontrib>Di Nicola, Marta</creatorcontrib><creatorcontrib>Mastropasqua, Rodolfo</creatorcontrib><title>Retinal vascular metrics difference by comparison of two image acquisition modes using a novel OCT angiography prototype</title><title>PloS one</title><addtitle>PLOS ONE</addtitle><addtitle>PLoS One</addtitle><description>Purpose
To assess the different impact of two enface OCTA image simultaneously acquired by means of a new prototype of Spectral-Domain Optical Coherence Tomography Angiography (SD-OCTA) on quantitative retinal vascular metrics.
Methods
In this prospective observational cross-sectional study 28 healthy subjects were enrolled. Macular (3x3 mm) OCTA images were acquired for all participants using Solix Fullrange OCT (Optovue Inc, Freemont CA, USA). The main outcome measurements were: Perfusion density (PD), vessel length density (VLD), and vessel diameter index (VDI) of both superficial capillary plexus (SCP) and deep capillary plexus (DCP), and choriocapillaris (CC) total flow-deficits area. Quantitative retinal vascular metrics were measured on binarized and skeletonized OCTA images by comparing not averaged and fast automated multiple averaged en face OCTA images.
Results
In both SCP and DCP, PD significantly increased (p = 0,005 and p = 0,030, respectively), and VLD significantly decreased (p<0,001 and p = 0,004, respectively), and VDI increased (p<0,001 and p = 0,068, respectively), and total CC flow deficits area significantly decreased (p<0,001) by averaging multiple OCTA images.
Conclusions
In this study, we found a significant difference of quantitative retinal metrics by comparing two different image acquisition modes using a novel and fully automated averaging OCTA system in young healthy subjects.</description><subject>Adult</subject><subject>Aging</subject><subject>Angiography</subject><subject>Area</subject><subject>Biology and Life Sciences</subject><subject>Blood vessels</subject><subject>CAT scans</subject><subject>Computer and Information Sciences</subject><subject>Density</subject><subject>Diabetic retinopathy</subject><subject>Diameters</subject><subject>Engineering and Technology</subject><subject>Female</subject><subject>Humans</subject><subject>Image acquisition</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Laboratories</subject><subject>Male</subject><subject>Medical examination</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Multidisciplinary Sciences</subject><subject>Optical Coherence Tomography</subject><subject>Perfusion</subject><subject>Prototypes</subject><subject>Research and Analysis Methods</subject><subject>Retina</subject><subject>Retinal Vessels - cytology</subject><subject>Retinal Vessels - diagnostic imaging</subject><subject>Science & Technology</subject><subject>Science & Technology - Other Topics</subject><subject>Tomography, Optical Coherence</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9tq3DAQhk1padq0b1BaQaG0lN3KOtjWTSEsPQQCgTTtrZDlkVfBthxJTrJvX7m7CdmSi-ALC803v2ZG-rPsTY6XOS3zLxdu8oPqlqMbYIkJo7hkT7IXuaBkURBMn95bH2QvQ7jAmNOqKJ5nB5QSLjgvX2Q3ZxBtkkFXKuipUx71EL3VATXWGPAwaED1BmnXj8rb4AbkDIrXDtletYCUvpxssNGmQO8aCGgKdmiRQoO7gg6drs6RGlrrWq_G9QaN3kUXNyO8yp4Z1QV4vfsfZr-_fztf_VycnP44Xh2dLHQhSFyInCpGONWGcswKRfO6bKpC6EZgTTjTvMI817lWhcAM01LUpuQ5p5AzA0DoYfZuqzt2Lsjd0IIkrCgwwWXBEnG8JRqnLuToU2N-I52y8t-G861UPlrdgSyrJKprXVVGJAEmBM9VjbHCBmoBIml93Z021T00GoboVbcnuh8Z7Fq27kqWZbq-skoCH3cC3l1OEKLsbdDQdWoAN23rJoIwRhP6_j_04e52VKtSA3YwLp2rZ1F5lMKMkILPdS8foNLXQG91emHGpv29hE97CYmJcBNbNYUgj3-dPZ49_bPPfrjHrkF1cR1cN80PLOyDbAtq70LwYO6GnGM5G-R2GnI2iNwZJKW9vX9Bd0m3jkjA5y1wDbUzQdvZAXcYTh4SBceUpBWZq6geT69sVHMfKzcNkf4FAHQseg</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Di Antonio, Luca</creator><creator>Viggiano, Pasquale</creator><creator>Ferro, Giada</creator><creator>Toto, Lisa</creator><creator>D'Aloisio, Rossella</creator><creator>Porreca, Annamaria</creator><creator>Di Nicola, Marta</creator><creator>Mastropasqua, Rodolfo</creator><general>Public Library Science</general><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-0323-967X</orcidid></search><sort><creationdate>20201201</creationdate><title>Retinal vascular metrics difference by comparison of two image acquisition modes using a novel OCT angiography prototype</title><author>Di Antonio, Luca ; Viggiano, Pasquale ; Ferro, Giada ; Toto, Lisa ; D'Aloisio, Rossella ; Porreca, Annamaria ; Di Nicola, Marta ; Mastropasqua, Rodolfo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-913a4253cf35046a31b7d869cd90c254c58051c1ca69040379bf75153e14fee23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Aging</topic><topic>Angiography</topic><topic>Area</topic><topic>Biology and Life Sciences</topic><topic>Blood vessels</topic><topic>CAT scans</topic><topic>Computer and Information Sciences</topic><topic>Density</topic><topic>Diabetic retinopathy</topic><topic>Diameters</topic><topic>Engineering and Technology</topic><topic>Female</topic><topic>Humans</topic><topic>Image acquisition</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Laboratories</topic><topic>Male</topic><topic>Medical examination</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Multidisciplinary Sciences</topic><topic>Optical Coherence Tomography</topic><topic>Perfusion</topic><topic>Prototypes</topic><topic>Research and Analysis Methods</topic><topic>Retina</topic><topic>Retinal Vessels - cytology</topic><topic>Retinal Vessels - diagnostic imaging</topic><topic>Science & Technology</topic><topic>Science & Technology - Other Topics</topic><topic>Tomography, Optical Coherence</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Di Antonio, Luca</creatorcontrib><creatorcontrib>Viggiano, Pasquale</creatorcontrib><creatorcontrib>Ferro, Giada</creatorcontrib><creatorcontrib>Toto, Lisa</creatorcontrib><creatorcontrib>D'Aloisio, Rossella</creatorcontrib><creatorcontrib>Porreca, Annamaria</creatorcontrib><creatorcontrib>Di Nicola, Marta</creatorcontrib><creatorcontrib>Mastropasqua, Rodolfo</creatorcontrib><collection>Web of Science - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Di Antonio, Luca</au><au>Viggiano, Pasquale</au><au>Ferro, Giada</au><au>Toto, Lisa</au><au>D'Aloisio, Rossella</au><au>Porreca, Annamaria</au><au>Di Nicola, Marta</au><au>Mastropasqua, Rodolfo</au><au>Zhang, Yuhua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Retinal vascular metrics difference by comparison of two image acquisition modes using a novel OCT angiography prototype</atitle><jtitle>PloS one</jtitle><stitle>PLOS ONE</stitle><addtitle>PLoS One</addtitle><date>2020-12-01</date><risdate>2020</risdate><volume>15</volume><issue>12</issue><spage>e0243074</spage><epage>e0243074</epage><pages>e0243074-e0243074</pages><artnum>0243074</artnum><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Purpose
To assess the different impact of two enface OCTA image simultaneously acquired by means of a new prototype of Spectral-Domain Optical Coherence Tomography Angiography (SD-OCTA) on quantitative retinal vascular metrics.
Methods
In this prospective observational cross-sectional study 28 healthy subjects were enrolled. Macular (3x3 mm) OCTA images were acquired for all participants using Solix Fullrange OCT (Optovue Inc, Freemont CA, USA). The main outcome measurements were: Perfusion density (PD), vessel length density (VLD), and vessel diameter index (VDI) of both superficial capillary plexus (SCP) and deep capillary plexus (DCP), and choriocapillaris (CC) total flow-deficits area. Quantitative retinal vascular metrics were measured on binarized and skeletonized OCTA images by comparing not averaged and fast automated multiple averaged en face OCTA images.
Results
In both SCP and DCP, PD significantly increased (p = 0,005 and p = 0,030, respectively), and VLD significantly decreased (p<0,001 and p = 0,004, respectively), and VDI increased (p<0,001 and p = 0,068, respectively), and total CC flow deficits area significantly decreased (p<0,001) by averaging multiple OCTA images.
Conclusions
In this study, we found a significant difference of quantitative retinal metrics by comparing two different image acquisition modes using a novel and fully automated averaging OCTA system in young healthy subjects.</abstract><cop>SAN FRANCISCO</cop><pub>Public Library Science</pub><pmid>33259557</pmid><doi>10.1371/journal.pone.0243074</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-0323-967X</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Aging Angiography Area Biology and Life Sciences Blood vessels CAT scans Computer and Information Sciences Density Diabetic retinopathy Diameters Engineering and Technology Female Humans Image acquisition Image Processing, Computer-Assisted - methods Laboratories Male Medical examination Medical imaging Medicine Medicine and Health Sciences Methods Multidisciplinary Sciences Optical Coherence Tomography Perfusion Prototypes Research and Analysis Methods Retina Retinal Vessels - cytology Retinal Vessels - diagnostic imaging Science & Technology Science & Technology - Other Topics Tomography, Optical Coherence |
| title | Retinal vascular metrics difference by comparison of two image acquisition modes using a novel OCT angiography prototype |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-16T13%3A25%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Retinal%20vascular%20metrics%20difference%20by%20comparison%20of%20two%20image%20acquisition%20modes%20using%20a%20novel%20OCT%20angiography%20prototype&rft.jtitle=PloS%20one&rft.au=Di%20Antonio,%20Luca&rft.date=2020-12-01&rft.volume=15&rft.issue=12&rft.spage=e0243074&rft.epage=e0243074&rft.pages=e0243074-e0243074&rft.artnum=0243074&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0243074&rft_dat=%3Cgale_proqu%3EA643422659%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2466020764&rft_id=info:pmid/33259557&rft_galeid=A643422659&rft_doaj_id=oai_doaj_org_article_784fecbc88f946649951ab00a0feb9e9&rfr_iscdi=true |