Quantitative automated circumpapillary microvascular density measurements: a new angioOCT-based methodology
Purpose To develop a new methodology to detect glaucoma damage based on circumpapillary microvascular density (cpmVD) as measured by optical coherence tomography angiography (angioOCT). Methods AngioOCT scans from a random eye of 40 healthy subjects (aged 63 ± 14 years) and 82 glaucoma patients (age...
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| Veröffentlicht in: | Eye (London) 2019-02, Vol.33 (2), p.320-326 |
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| creator | Jesus, Danilo A. Barbosa Breda, João Van Keer, Karel Rocha Sousa, Amândio Abegão Pinto, Luis Stalmans, Ingeborg |
| description | Purpose
To develop a new methodology to detect glaucoma damage based on circumpapillary microvascular density (cpmVD) as measured by optical coherence tomography angiography (angioOCT).
Methods
AngioOCT scans from a random eye of 40 healthy subjects (aged 63 ± 14 years) and 82 glaucoma patients (aged 66 ± 9 years with an average visual field loss of −7.8 ± 6.5 dB) were used to develop a new angioOCT evaluation methodology. Optic disc-centred 3 × 3 mm images were collected (Angioplex
®
, Zeiss Cirrus 5000 HD-OCT). An annular area with an inner radius of 1.16 mm and outer radius of 1.44 mm was chosen as the region of interest (ROI), with cpmVD calculated through lower envelope modulation avoiding the influence of the major retinal vessels. Additionally, the cpmVD and the microvascular density (mVD), stratified by sectors, were compared with the respective retinal nerve fibre layer (RNFL) thickness.
Results
A significantly lower cpmVD was observed in the glaucoma group, for all visual field sectors (
p
0.05).
Conclusions
The presented open-source methodology provides a robust quantitative analysis of the 360˚ mVD. It shows that cpmVD, and mVD sectors measured by angioOCT, can be used in everyday glaucoma practice. |
| doi_str_mv | 10.1038/s41433-018-0207-z |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6367375</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2102922142</sourcerecordid><originalsourceid>FETCH-LOGICAL-c470t-6f580e816ccfe1f16ee18e2719d72df4827392d166b9f26d34edfebbac24f73b3</originalsourceid><addsrcrecordid>eNp1kU9rFTEUxYMo9ln9AG5kwI2b1PybZMaFIA-1hUIpVHAXMpmb19SZ5JlknrSf3pRXWxW6Csn53ZN770HoNSVHlPDufRZUcI4J7TBhROGbJ2hFhZK4Fa14ilakbwlmjH0_QC9yviKkioo8Rwe84lLQboV-nC8mFF9M8TtozFLibAqMjfXJLvPWbP00mXTdzN6muDPZLvXajBCyL_UVTF4SzBBK_tCYJsCvxoSNj2frCzyYXI1mKJdxjFPcXL9Ez5yZMry6Ow_Rty-fL9bH-PTs68n60ym2QpGCpWs7Ah2V1jqgjkoA2gFTtB8VG53omOI9G6mUQ--YHLmA0cEwGMuEU3zgh-jj3ne7DDOMtnaXzKS3yc91FB2N1_8qwV_qTdxpyaXiqq0G7-4MUvy5QC569tlC3USAuGTNKGE9Y1Swir79D72KSwp1vEopqUgvRVcpuqfqEnNO4O6boUTfRqn3Ueoapb6NUt_Umjd_T3Ff8Se7CrA9kKsUNpAevn7c9TduW63z</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2176709648</pqid></control><display><type>article</type><title>Quantitative automated circumpapillary microvascular density measurements: a new angioOCT-based methodology</title><source>MEDLINE</source><source>SpringerLink Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><creator>Jesus, Danilo A. ; Barbosa Breda, João ; Van Keer, Karel ; Rocha Sousa, Amândio ; Abegão Pinto, Luis ; Stalmans, Ingeborg</creator><creatorcontrib>Jesus, Danilo A. ; Barbosa Breda, João ; Van Keer, Karel ; Rocha Sousa, Amândio ; Abegão Pinto, Luis ; Stalmans, Ingeborg</creatorcontrib><description>Purpose
To develop a new methodology to detect glaucoma damage based on circumpapillary microvascular density (cpmVD) as measured by optical coherence tomography angiography (angioOCT).
Methods
AngioOCT scans from a random eye of 40 healthy subjects (aged 63 ± 14 years) and 82 glaucoma patients (aged 66 ± 9 years with an average visual field loss of −7.8 ± 6.5 dB) were used to develop a new angioOCT evaluation methodology. Optic disc-centred 3 × 3 mm images were collected (Angioplex
®
, Zeiss Cirrus 5000 HD-OCT). An annular area with an inner radius of 1.16 mm and outer radius of 1.44 mm was chosen as the region of interest (ROI), with cpmVD calculated through lower envelope modulation avoiding the influence of the major retinal vessels. Additionally, the cpmVD and the microvascular density (mVD), stratified by sectors, were compared with the respective retinal nerve fibre layer (RNFL) thickness.
Results
A significantly lower cpmVD was observed in the glaucoma group, for all visual field sectors (
p
< 0.001), when comparing to the healthy group. The inferior and superior mVD sectors showed the largest differences between groups. Moreover, glaucoma was linked to a reduction of cpmVD variation when compared to the healthy group. Lastly, a comparison between two healthy subgroups showed that the method is not biased by the presence of slight movement artefacts, optic disc dimensions and vessel crowding (
p
> 0.05).
Conclusions
The presented open-source methodology provides a robust quantitative analysis of the 360˚ mVD. It shows that cpmVD, and mVD sectors measured by angioOCT, can be used in everyday glaucoma practice.</description><identifier>ISSN: 0950-222X</identifier><identifier>EISSN: 1476-5454</identifier><identifier>DOI: 10.1038/s41433-018-0207-z</identifier><identifier>PMID: 30206418</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/308/53 ; 692/700/139 ; 692/700/1421 ; Aged ; Angiography ; Artefacts ; Blood vessels ; Female ; Fluorescein Angiography - methods ; Glaucoma ; Glaucoma, Open-Angle - diagnosis ; Glaucoma, Open-Angle - physiopathology ; Healthy Volunteers ; Humans ; Intraocular Pressure ; Laboratory Medicine ; Male ; Medicine ; Medicine & Public Health ; Microvasculature ; Middle Aged ; Nerve Fibers - pathology ; Ophthalmology ; Optic Disk - blood supply ; Pharmaceutical Sciences/Technology ; Retina ; Retinal Ganglion Cells - pathology ; Retinal Vessels - pathology ; Surgery ; Surgical Oncology ; Tomography, Optical Coherence - methods ; Vision Disorders - diagnosis ; Vision Disorders - physiopathology ; Visual field ; Visual Field Tests ; Visual Fields - physiology</subject><ispartof>Eye (London), 2019-02, Vol.33 (2), p.320-326</ispartof><rights>The Royal College of Ophthalmologists 2018</rights><rights>Copyright Nature Publishing Group Feb 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c470t-6f580e816ccfe1f16ee18e2719d72df4827392d166b9f26d34edfebbac24f73b3</citedby><cites>FETCH-LOGICAL-c470t-6f580e816ccfe1f16ee18e2719d72df4827392d166b9f26d34edfebbac24f73b3</cites><orcidid>0000-0001-5799-4163 ; 0000-0002-9960-7579 ; 0000-0001-7816-816X</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/PMC6367375/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6367375/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,41464,42533,51294,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30206418$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jesus, Danilo A.</creatorcontrib><creatorcontrib>Barbosa Breda, João</creatorcontrib><creatorcontrib>Van Keer, Karel</creatorcontrib><creatorcontrib>Rocha Sousa, Amândio</creatorcontrib><creatorcontrib>Abegão Pinto, Luis</creatorcontrib><creatorcontrib>Stalmans, Ingeborg</creatorcontrib><title>Quantitative automated circumpapillary microvascular density measurements: a new angioOCT-based methodology</title><title>Eye (London)</title><addtitle>Eye</addtitle><addtitle>Eye (Lond)</addtitle><description>Purpose
To develop a new methodology to detect glaucoma damage based on circumpapillary microvascular density (cpmVD) as measured by optical coherence tomography angiography (angioOCT).
Methods
AngioOCT scans from a random eye of 40 healthy subjects (aged 63 ± 14 years) and 82 glaucoma patients (aged 66 ± 9 years with an average visual field loss of −7.8 ± 6.5 dB) were used to develop a new angioOCT evaluation methodology. Optic disc-centred 3 × 3 mm images were collected (Angioplex
®
, Zeiss Cirrus 5000 HD-OCT). An annular area with an inner radius of 1.16 mm and outer radius of 1.44 mm was chosen as the region of interest (ROI), with cpmVD calculated through lower envelope modulation avoiding the influence of the major retinal vessels. Additionally, the cpmVD and the microvascular density (mVD), stratified by sectors, were compared with the respective retinal nerve fibre layer (RNFL) thickness.
Results
A significantly lower cpmVD was observed in the glaucoma group, for all visual field sectors (
p
< 0.001), when comparing to the healthy group. The inferior and superior mVD sectors showed the largest differences between groups. Moreover, glaucoma was linked to a reduction of cpmVD variation when compared to the healthy group. Lastly, a comparison between two healthy subgroups showed that the method is not biased by the presence of slight movement artefacts, optic disc dimensions and vessel crowding (
p
> 0.05).
Conclusions
The presented open-source methodology provides a robust quantitative analysis of the 360˚ mVD. It shows that cpmVD, and mVD sectors measured by angioOCT, can be used in everyday glaucoma practice.</description><subject>692/308/53</subject><subject>692/700/139</subject><subject>692/700/1421</subject><subject>Aged</subject><subject>Angiography</subject><subject>Artefacts</subject><subject>Blood vessels</subject><subject>Female</subject><subject>Fluorescein Angiography - methods</subject><subject>Glaucoma</subject><subject>Glaucoma, Open-Angle - diagnosis</subject><subject>Glaucoma, Open-Angle - physiopathology</subject><subject>Healthy Volunteers</subject><subject>Humans</subject><subject>Intraocular Pressure</subject><subject>Laboratory Medicine</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Microvasculature</subject><subject>Middle Aged</subject><subject>Nerve Fibers - pathology</subject><subject>Ophthalmology</subject><subject>Optic Disk - blood supply</subject><subject>Pharmaceutical Sciences/Technology</subject><subject>Retina</subject><subject>Retinal Ganglion Cells - pathology</subject><subject>Retinal Vessels - pathology</subject><subject>Surgery</subject><subject>Surgical Oncology</subject><subject>Tomography, Optical Coherence - methods</subject><subject>Vision Disorders - diagnosis</subject><subject>Vision Disorders - physiopathology</subject><subject>Visual field</subject><subject>Visual Field Tests</subject><subject>Visual Fields - physiology</subject><issn>0950-222X</issn><issn>1476-5454</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kU9rFTEUxYMo9ln9AG5kwI2b1PybZMaFIA-1hUIpVHAXMpmb19SZ5JlknrSf3pRXWxW6Csn53ZN770HoNSVHlPDufRZUcI4J7TBhROGbJ2hFhZK4Fa14ilakbwlmjH0_QC9yviKkioo8Rwe84lLQboV-nC8mFF9M8TtozFLibAqMjfXJLvPWbP00mXTdzN6muDPZLvXajBCyL_UVTF4SzBBK_tCYJsCvxoSNj2frCzyYXI1mKJdxjFPcXL9Ez5yZMry6Ow_Rty-fL9bH-PTs68n60ym2QpGCpWs7Ah2V1jqgjkoA2gFTtB8VG53omOI9G6mUQ--YHLmA0cEwGMuEU3zgh-jj3ne7DDOMtnaXzKS3yc91FB2N1_8qwV_qTdxpyaXiqq0G7-4MUvy5QC569tlC3USAuGTNKGE9Y1Swir79D72KSwp1vEopqUgvRVcpuqfqEnNO4O6boUTfRqn3Ueoapb6NUt_Umjd_T3Ff8Se7CrA9kKsUNpAevn7c9TduW63z</recordid><startdate>20190201</startdate><enddate>20190201</enddate><creator>Jesus, Danilo A.</creator><creator>Barbosa Breda, João</creator><creator>Van Keer, Karel</creator><creator>Rocha Sousa, Amândio</creator><creator>Abegão Pinto, Luis</creator><creator>Stalmans, Ingeborg</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><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>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-5799-4163</orcidid><orcidid>https://orcid.org/0000-0002-9960-7579</orcidid><orcidid>https://orcid.org/0000-0001-7816-816X</orcidid></search><sort><creationdate>20190201</creationdate><title>Quantitative automated circumpapillary microvascular density measurements: a new angioOCT-based methodology</title><author>Jesus, Danilo A. ; Barbosa Breda, João ; Van Keer, Karel ; Rocha Sousa, Amândio ; Abegão Pinto, Luis ; Stalmans, Ingeborg</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c470t-6f580e816ccfe1f16ee18e2719d72df4827392d166b9f26d34edfebbac24f73b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>692/308/53</topic><topic>692/700/139</topic><topic>692/700/1421</topic><topic>Aged</topic><topic>Angiography</topic><topic>Artefacts</topic><topic>Blood vessels</topic><topic>Female</topic><topic>Fluorescein Angiography - methods</topic><topic>Glaucoma</topic><topic>Glaucoma, Open-Angle - diagnosis</topic><topic>Glaucoma, Open-Angle - physiopathology</topic><topic>Healthy Volunteers</topic><topic>Humans</topic><topic>Intraocular Pressure</topic><topic>Laboratory Medicine</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Microvasculature</topic><topic>Middle Aged</topic><topic>Nerve Fibers - pathology</topic><topic>Ophthalmology</topic><topic>Optic Disk - blood supply</topic><topic>Pharmaceutical Sciences/Technology</topic><topic>Retina</topic><topic>Retinal Ganglion Cells - pathology</topic><topic>Retinal Vessels - pathology</topic><topic>Surgery</topic><topic>Surgical Oncology</topic><topic>Tomography, Optical Coherence - methods</topic><topic>Vision Disorders - diagnosis</topic><topic>Vision Disorders - physiopathology</topic><topic>Visual field</topic><topic>Visual Field Tests</topic><topic>Visual Fields - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jesus, Danilo A.</creatorcontrib><creatorcontrib>Barbosa Breda, João</creatorcontrib><creatorcontrib>Van Keer, Karel</creatorcontrib><creatorcontrib>Rocha Sousa, Amândio</creatorcontrib><creatorcontrib>Abegão Pinto, Luis</creatorcontrib><creatorcontrib>Stalmans, Ingeborg</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Eye (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jesus, Danilo A.</au><au>Barbosa Breda, João</au><au>Van Keer, Karel</au><au>Rocha Sousa, Amândio</au><au>Abegão Pinto, Luis</au><au>Stalmans, Ingeborg</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative automated circumpapillary microvascular density measurements: a new angioOCT-based methodology</atitle><jtitle>Eye (London)</jtitle><stitle>Eye</stitle><addtitle>Eye (Lond)</addtitle><date>2019-02-01</date><risdate>2019</risdate><volume>33</volume><issue>2</issue><spage>320</spage><epage>326</epage><pages>320-326</pages><issn>0950-222X</issn><eissn>1476-5454</eissn><abstract>Purpose
To develop a new methodology to detect glaucoma damage based on circumpapillary microvascular density (cpmVD) as measured by optical coherence tomography angiography (angioOCT).
Methods
AngioOCT scans from a random eye of 40 healthy subjects (aged 63 ± 14 years) and 82 glaucoma patients (aged 66 ± 9 years with an average visual field loss of −7.8 ± 6.5 dB) were used to develop a new angioOCT evaluation methodology. Optic disc-centred 3 × 3 mm images were collected (Angioplex
®
, Zeiss Cirrus 5000 HD-OCT). An annular area with an inner radius of 1.16 mm and outer radius of 1.44 mm was chosen as the region of interest (ROI), with cpmVD calculated through lower envelope modulation avoiding the influence of the major retinal vessels. Additionally, the cpmVD and the microvascular density (mVD), stratified by sectors, were compared with the respective retinal nerve fibre layer (RNFL) thickness.
Results
A significantly lower cpmVD was observed in the glaucoma group, for all visual field sectors (
p
< 0.001), when comparing to the healthy group. The inferior and superior mVD sectors showed the largest differences between groups. Moreover, glaucoma was linked to a reduction of cpmVD variation when compared to the healthy group. Lastly, a comparison between two healthy subgroups showed that the method is not biased by the presence of slight movement artefacts, optic disc dimensions and vessel crowding (
p
> 0.05).
Conclusions
The presented open-source methodology provides a robust quantitative analysis of the 360˚ mVD. It shows that cpmVD, and mVD sectors measured by angioOCT, can be used in everyday glaucoma practice.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>30206418</pmid><doi>10.1038/s41433-018-0207-z</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-5799-4163</orcidid><orcidid>https://orcid.org/0000-0002-9960-7579</orcidid><orcidid>https://orcid.org/0000-0001-7816-816X</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Eye (London), 2019-02, Vol.33 (2), p.320-326 |
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| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6367375 |
| source | MEDLINE; SpringerLink Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
| subjects | 692/308/53 692/700/139 692/700/1421 Aged Angiography Artefacts Blood vessels Female Fluorescein Angiography - methods Glaucoma Glaucoma, Open-Angle - diagnosis Glaucoma, Open-Angle - physiopathology Healthy Volunteers Humans Intraocular Pressure Laboratory Medicine Male Medicine Medicine & Public Health Microvasculature Middle Aged Nerve Fibers - pathology Ophthalmology Optic Disk - blood supply Pharmaceutical Sciences/Technology Retina Retinal Ganglion Cells - pathology Retinal Vessels - pathology Surgery Surgical Oncology Tomography, Optical Coherence - methods Vision Disorders - diagnosis Vision Disorders - physiopathology Visual field Visual Field Tests Visual Fields - physiology |
| title | Quantitative automated circumpapillary microvascular density measurements: a new angioOCT-based methodology |
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