Optical coherence tomography automated layer segmentation of macula after retinal detachment repair
To investigate the thickness of retinal layers and association with final visual acuity using spectral-domain optical coherence tomography (SD-OCT) in macular area of macula-off rhegmatogenous retinal detachment (RRD) patients after a successful macular re-attachment. In retrospective study, a total...
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description | To investigate the thickness of retinal layers and association with final visual acuity using spectral-domain optical coherence tomography (SD-OCT) in macular area of macula-off rhegmatogenous retinal detachment (RRD) patients after a successful macular re-attachment.
In retrospective study, a total 24 eyes with macula-off RRD were enrolled. All patients underwent vitrectomy to repair RRD. Outer plexiform layer (OPL), outer nuclear layer (ONL), photoreceptor layer (PR), retinal pigment epithelium (RPE) thicknesses were measured by the Spectralis (Heidelberg Engineering, Heidelberg, Germany) SD-OCT with automated segmentation software. The relationship between the thicknesses of each retinal layer and postoperative logarithm of the minimum angle of resolution scale (LogMAR) visual acuity was analyzed.
OPL and RPE thicknesses were not significantly different between the retinal detachment eyes and fellow eyes (P = 0.839, 0.999, respectively). The ONL and photoreceptor thickness were significantly thinner in the retinal detachment eyes (P |
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In retrospective study, a total 24 eyes with macula-off RRD were enrolled. All patients underwent vitrectomy to repair RRD. Outer plexiform layer (OPL), outer nuclear layer (ONL), photoreceptor layer (PR), retinal pigment epithelium (RPE) thicknesses were measured by the Spectralis (Heidelberg Engineering, Heidelberg, Germany) SD-OCT with automated segmentation software. The relationship between the thicknesses of each retinal layer and postoperative logarithm of the minimum angle of resolution scale (LogMAR) visual acuity was analyzed.
OPL and RPE thicknesses were not significantly different between the retinal detachment eyes and fellow eyes (P = 0.839, 0.999, respectively). The ONL and photoreceptor thickness were significantly thinner in the retinal detachment eyes (P <0.001 and 0.001, respectively). In the univariate regression analysis, preoperative best corrected visual acuity (BCVA), ONL thickness and photoreceptor thickness showed association with the postoperative BCVA (P = 0.003, <0.001 and 0.024, respectively). In final multiple linear regression model, ONL thickness was the only variable significantly associated with postoperative BCVA (P = 0.044).
Segmented ONL and photoreceptor thickness of retinal detachment eyes were significantly thinner than fellow eyes. Segmental analysis of the retinal layer in macular region may provide valuable information for evaluation RRD. And ONL thickness can be used as a potential biomarker to predict visual outcome after RRD repair.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0197058</identifier><identifier>PMID: 29734400</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acuity ; Analysis ; Biology and Life Sciences ; Biomarkers ; Care and treatment ; Detaching ; Detachment ; Diabetic retinopathy ; Epithelium ; Eye ; Eye (anatomy) ; Medicine and Health Sciences ; Myopia ; Optical Coherence Tomography ; Optical tomography ; Patient outcomes ; Patients ; Photoreceptors ; Regression analysis ; Regression models ; Repair ; Research and Analysis Methods ; Retina ; Retinal detachment ; Retinal pigment epithelium ; Segmentation ; Social Sciences ; Surgery ; Thickness ; Tomography ; Treatment outcome ; Visual acuity ; Vitrectomy</subject><ispartof>PloS one, 2018-05, Vol.13 (5), p.e0197058-e0197058</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Han, Lee. 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>2018 Han, Lee 2018 Han, Lee</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-2edb6deb3530fb5ab8782f86ee1ff2995ac83718eaafadf683839c4ff925a8993</citedby><cites>FETCH-LOGICAL-c758t-2edb6deb3530fb5ab8782f86ee1ff2995ac83718eaafadf683839c4ff925a8993</cites><orcidid>0000-0003-2073-6165 ; 0000-0001-8181-6121</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/PMC5937759/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5937759/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29734400$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Han, Kyu Jin</creatorcontrib><creatorcontrib>Lee, Young Hoon</creatorcontrib><title>Optical coherence tomography automated layer segmentation of macula after retinal detachment repair</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>To investigate the thickness of retinal layers and association with final visual acuity using spectral-domain optical coherence tomography (SD-OCT) in macular area of macula-off rhegmatogenous retinal detachment (RRD) patients after a successful macular re-attachment.
In retrospective study, a total 24 eyes with macula-off RRD were enrolled. All patients underwent vitrectomy to repair RRD. Outer plexiform layer (OPL), outer nuclear layer (ONL), photoreceptor layer (PR), retinal pigment epithelium (RPE) thicknesses were measured by the Spectralis (Heidelberg Engineering, Heidelberg, Germany) SD-OCT with automated segmentation software. The relationship between the thicknesses of each retinal layer and postoperative logarithm of the minimum angle of resolution scale (LogMAR) visual acuity was analyzed.
OPL and RPE thicknesses were not significantly different between the retinal detachment eyes and fellow eyes (P = 0.839, 0.999, respectively). The ONL and photoreceptor thickness were significantly thinner in the retinal detachment eyes (P <0.001 and 0.001, respectively). In the univariate regression analysis, preoperative best corrected visual acuity (BCVA), ONL thickness and photoreceptor thickness showed association with the postoperative BCVA (P = 0.003, <0.001 and 0.024, respectively). In final multiple linear regression model, ONL thickness was the only variable significantly associated with postoperative BCVA (P = 0.044).
Segmented ONL and photoreceptor thickness of retinal detachment eyes were significantly thinner than fellow eyes. Segmental analysis of the retinal layer in macular region may provide valuable information for evaluation RRD. And ONL thickness can be used as a potential biomarker to predict visual outcome after RRD repair.</description><subject>Acuity</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Care and treatment</subject><subject>Detaching</subject><subject>Detachment</subject><subject>Diabetic retinopathy</subject><subject>Epithelium</subject><subject>Eye</subject><subject>Eye (anatomy)</subject><subject>Medicine and Health Sciences</subject><subject>Myopia</subject><subject>Optical Coherence Tomography</subject><subject>Optical tomography</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Photoreceptors</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Repair</subject><subject>Research and Analysis Methods</subject><subject>Retina</subject><subject>Retinal detachment</subject><subject>Retinal pigment epithelium</subject><subject>Segmentation</subject><subject>Social Sciences</subject><subject>Surgery</subject><subject>Thickness</subject><subject>Tomography</subject><subject>Treatment outcome</subject><subject>Visual acuity</subject><subject>Vitrectomy</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1uLnDAUx6W0dLfbfoPSCoXSPsxUjYnxpbAsvQwsDPT2Go7xRF2imU1i6Xz7xhl3Gcs-FB_Uk9__3HJOFL1Mk3VKivTDjRntAHq9MwOuk7QsEsofRedpSbIVyxLy-OT7LHrm3E2SUMIZexqdZWVB8jxJziO53flOgo6ladHiIDH2pjeNhV27j2EMP-CxjjXs0cYOmx4HD74zQ2xU3IMcNcSgfDi06LuQUFyjB9lOXDDtoLPPoycKtMMX8_si-vn504-rr6vr7ZfN1eX1ShaU-1WGdcVqrAgliaooVLzgmeIMMVUqK0sKkofCOQIoqBXjhJNS5kqVGQVeluQien30u9PGibk_ToT6KeNBmgdicyRqAzdiZ7se7F4Y6MTBYGwjwIZ-aBQMEiWLlDCsizxjVQWkThNeyLRWCBkPvj7O0caqx1qGei3ohdPlydC1ojG_BS1JUdAp3XezA2tuR3Re9J2TqDUMaMZD3uHuaHaI9eYf9OHqZqqBUEA3KBPiysmpuKSkYIynZKLWD1DhqbHvZBgm1QX7QvB-IQiMxz--gdE5sfn-7f_Z7a8l-_aEbRG0b53R4zRcbgnmR1Ba45xFdd_kNBHTLtx1Q0y7IOZdCLJXpxd0L7obfvIXNKkGbg</recordid><startdate>20180507</startdate><enddate>20180507</enddate><creator>Han, Kyu Jin</creator><creator>Lee, Young Hoon</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>AEUYN</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>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-2073-6165</orcidid><orcidid>https://orcid.org/0000-0001-8181-6121</orcidid></search><sort><creationdate>20180507</creationdate><title>Optical coherence tomography automated layer segmentation of macula after retinal detachment repair</title><author>Han, Kyu Jin ; Lee, Young Hoon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-2edb6deb3530fb5ab8782f86ee1ff2995ac83718eaafadf683839c4ff925a8993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Acuity</topic><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Care and treatment</topic><topic>Detaching</topic><topic>Detachment</topic><topic>Diabetic retinopathy</topic><topic>Epithelium</topic><topic>Eye</topic><topic>Eye (anatomy)</topic><topic>Medicine and Health Sciences</topic><topic>Myopia</topic><topic>Optical Coherence Tomography</topic><topic>Optical tomography</topic><topic>Patient outcomes</topic><topic>Patients</topic><topic>Photoreceptors</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Repair</topic><topic>Research and Analysis Methods</topic><topic>Retina</topic><topic>Retinal detachment</topic><topic>Retinal pigment epithelium</topic><topic>Segmentation</topic><topic>Social Sciences</topic><topic>Surgery</topic><topic>Thickness</topic><topic>Tomography</topic><topic>Treatment outcome</topic><topic>Visual acuity</topic><topic>Vitrectomy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Han, Kyu Jin</creatorcontrib><creatorcontrib>Lee, Young Hoon</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health 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Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Han, Kyu Jin</au><au>Lee, Young Hoon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optical coherence tomography automated layer segmentation of macula after retinal detachment repair</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-05-07</date><risdate>2018</risdate><volume>13</volume><issue>5</issue><spage>e0197058</spage><epage>e0197058</epage><pages>e0197058-e0197058</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>To investigate the thickness of retinal layers and association with final visual acuity using spectral-domain optical coherence tomography (SD-OCT) in macular area of macula-off rhegmatogenous retinal detachment (RRD) patients after a successful macular re-attachment.
In retrospective study, a total 24 eyes with macula-off RRD were enrolled. All patients underwent vitrectomy to repair RRD. Outer plexiform layer (OPL), outer nuclear layer (ONL), photoreceptor layer (PR), retinal pigment epithelium (RPE) thicknesses were measured by the Spectralis (Heidelberg Engineering, Heidelberg, Germany) SD-OCT with automated segmentation software. The relationship between the thicknesses of each retinal layer and postoperative logarithm of the minimum angle of resolution scale (LogMAR) visual acuity was analyzed.
OPL and RPE thicknesses were not significantly different between the retinal detachment eyes and fellow eyes (P = 0.839, 0.999, respectively). The ONL and photoreceptor thickness were significantly thinner in the retinal detachment eyes (P <0.001 and 0.001, respectively). In the univariate regression analysis, preoperative best corrected visual acuity (BCVA), ONL thickness and photoreceptor thickness showed association with the postoperative BCVA (P = 0.003, <0.001 and 0.024, respectively). In final multiple linear regression model, ONL thickness was the only variable significantly associated with postoperative BCVA (P = 0.044).
Segmented ONL and photoreceptor thickness of retinal detachment eyes were significantly thinner than fellow eyes. Segmental analysis of the retinal layer in macular region may provide valuable information for evaluation RRD. And ONL thickness can be used as a potential biomarker to predict visual outcome after RRD repair.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29734400</pmid><doi>10.1371/journal.pone.0197058</doi><tpages>e0197058</tpages><orcidid>https://orcid.org/0000-0003-2073-6165</orcidid><orcidid>https://orcid.org/0000-0001-8181-6121</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Acuity Analysis Biology and Life Sciences Biomarkers Care and treatment Detaching Detachment Diabetic retinopathy Epithelium Eye Eye (anatomy) Medicine and Health Sciences Myopia Optical Coherence Tomography Optical tomography Patient outcomes Patients Photoreceptors Regression analysis Regression models Repair Research and Analysis Methods Retina Retinal detachment Retinal pigment epithelium Segmentation Social Sciences Surgery Thickness Tomography Treatment outcome Visual acuity Vitrectomy |
title | Optical coherence tomography automated layer segmentation of macula after retinal detachment repair |
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