Comparison of expert graders to computer-assisted image analysis of the retina in retinopathy of prematurity
AimsTo determine correlation of width and tortuosity between expert graders and computer-assisted image analysis of the retina in narrow-field images of eyes with retinopathy of prematurity.Methods11 digital images were selected based on severity of retinopathy of prematurity (ROP). Narrow field ima...
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| Veröffentlicht in: | British journal of ophthalmology 2011-10, Vol.95 (10), p.1442-1445 |
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| creator | Shah, Deepika N Wilson, Clare M Ying, Gui-shuang Karp, Karen A Cocker, Kenneth D Ng, Jeffrey Schulenburg, Ed Fielder, Alistair R Mills, Monte D Quinn, Graham E |
| description | AimsTo determine correlation of width and tortuosity between expert graders and computer-assisted image analysis of the retina in narrow-field images of eyes with retinopathy of prematurity.Methods11 digital images were selected based on severity of retinopathy of prematurity (ROP). Narrow field images were analysed for width and tortuosity of vessels using computer-aided image analysis of the retina (CAIAR), an image analysis software, and by four ROP experts. Spearman correlation coefficients (ρ) assessed the correlation of CAIAR grading with expert grading. Intra-class correlations assessed agreement among graders. Width and tortuosity were compared among severity of ROP and treatment status using analysis of variance and generalised estimating equations.ResultsExpert measurements correlated well with measures from CAIAR for venule width (ρ=0.57–0.66) and arteriole tortuosity (ρ=0.71–0.81). Measurements from four graders agreed moderately well (intra-class correlations were 0.49 and 0.69 for venule width and arteriole tortuosity, respectively). Increased severity of ROP (no pre-plus/plus, pre-plus, plus) was associated with larger width (linear trend p=0.02 in two graders) and tortuosity (linear trend p |
| doi_str_mv | 10.1136/bjo.2010.185363 |
| format | Article |
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Narrow field images were analysed for width and tortuosity of vessels using computer-aided image analysis of the retina (CAIAR), an image analysis software, and by four ROP experts. Spearman correlation coefficients (ρ) assessed the correlation of CAIAR grading with expert grading. Intra-class correlations assessed agreement among graders. Width and tortuosity were compared among severity of ROP and treatment status using analysis of variance and generalised estimating equations.ResultsExpert measurements correlated well with measures from CAIAR for venule width (ρ=0.57–0.66) and arteriole tortuosity (ρ=0.71–0.81). Measurements from four graders agreed moderately well (intra-class correlations were 0.49 and 0.69 for venule width and arteriole tortuosity, respectively). Increased severity of ROP (no pre-plus/plus, pre-plus, plus) was associated with larger width (linear trend p=0.02 in two graders) and tortuosity (linear trend p<0.03 in all graders). Tortuosity measurements by CAIAR and graders were statistically different between treated and untreated eyes (p<0.002).ConclusionsWe found moderate correlation between expert graders' assessment of vessel tortuosity and width and CAIAR using narrow-field images.</description><identifier>ISSN: 0007-1161</identifier><identifier>EISSN: 1468-2079</identifier><identifier>DOI: 10.1136/bjo.2010.185363</identifier><identifier>PMID: 21270432</identifier><identifier>CODEN: BJOPAL</identifier><language>eng</language><publisher>BMA House, Tavistock Square, London, WC1H 9JR: BMJ Publishing Group Ltd</publisher><subject>Agreements ; Arterioles ; Automation ; Babies ; Biological and medical sciences ; Cameras ; child health (paediatrics) ; Classification ; Computer programs ; Diagnosis, Computer-Assisted - standards ; diagnostic tests/investigation ; Digital image analysis ; Digital imaging ; Experts ; Feasibility studies ; Gestational Age ; Humans ; Image processing ; Image Processing, Computer-Assisted ; Infant, Extremely Low Birth Weight ; Infant, Newborn ; Mathematical models ; Medical personnel ; Medical sciences ; Miscellaneous ; Ophthalmology ; Ophthalmology - standards ; Pilot Projects ; Premature birth ; Quality ; Retina ; Retinal Vessels - pathology ; Retinopathies ; Retinopathy ; retinopathy of prematurity ; Retinopathy of Prematurity - classification ; Retinopathy of Prematurity - diagnosis ; Sensitivity and Specificity ; Software ; telemedicine ; Venules</subject><ispartof>British journal of ophthalmology, 2011-10, Vol.95 (10), p.1442-1445</ispartof><rights>2011, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright: 2011 (c) 2011, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b460t-2234f5db467ffde8cfd594b6cac91a6844c1496c94016b40e35e4f1bb82e8fed3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://bjo.bmj.com/content/95/10/1442.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttp://bjo.bmj.com/content/95/10/1442.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,780,784,3196,23571,27924,27925,77600,77631</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24562872$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21270432$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shah, Deepika N</creatorcontrib><creatorcontrib>Wilson, Clare M</creatorcontrib><creatorcontrib>Ying, Gui-shuang</creatorcontrib><creatorcontrib>Karp, Karen A</creatorcontrib><creatorcontrib>Cocker, Kenneth D</creatorcontrib><creatorcontrib>Ng, Jeffrey</creatorcontrib><creatorcontrib>Schulenburg, Ed</creatorcontrib><creatorcontrib>Fielder, Alistair R</creatorcontrib><creatorcontrib>Mills, Monte D</creatorcontrib><creatorcontrib>Quinn, Graham E</creatorcontrib><title>Comparison of expert graders to computer-assisted image analysis of the retina in retinopathy of prematurity</title><title>British journal of ophthalmology</title><addtitle>Br J Ophthalmol</addtitle><description>AimsTo determine correlation of width and tortuosity between expert graders and computer-assisted image analysis of the retina in narrow-field images of eyes with retinopathy of prematurity.Methods11 digital images were selected based on severity of retinopathy of prematurity (ROP). Narrow field images were analysed for width and tortuosity of vessels using computer-aided image analysis of the retina (CAIAR), an image analysis software, and by four ROP experts. Spearman correlation coefficients (ρ) assessed the correlation of CAIAR grading with expert grading. Intra-class correlations assessed agreement among graders. Width and tortuosity were compared among severity of ROP and treatment status using analysis of variance and generalised estimating equations.ResultsExpert measurements correlated well with measures from CAIAR for venule width (ρ=0.57–0.66) and arteriole tortuosity (ρ=0.71–0.81). Measurements from four graders agreed moderately well (intra-class correlations were 0.49 and 0.69 for venule width and arteriole tortuosity, respectively). Increased severity of ROP (no pre-plus/plus, pre-plus, plus) was associated with larger width (linear trend p=0.02 in two graders) and tortuosity (linear trend p<0.03 in all graders). Tortuosity measurements by CAIAR and graders were statistically different between treated and untreated eyes (p<0.002).ConclusionsWe found moderate correlation between expert graders' assessment of vessel tortuosity and width and CAIAR using narrow-field images.</description><subject>Agreements</subject><subject>Arterioles</subject><subject>Automation</subject><subject>Babies</subject><subject>Biological and medical sciences</subject><subject>Cameras</subject><subject>child health (paediatrics)</subject><subject>Classification</subject><subject>Computer programs</subject><subject>Diagnosis, Computer-Assisted - standards</subject><subject>diagnostic tests/investigation</subject><subject>Digital image analysis</subject><subject>Digital imaging</subject><subject>Experts</subject><subject>Feasibility studies</subject><subject>Gestational Age</subject><subject>Humans</subject><subject>Image processing</subject><subject>Image Processing, Computer-Assisted</subject><subject>Infant, Extremely Low Birth Weight</subject><subject>Infant, Newborn</subject><subject>Mathematical models</subject><subject>Medical personnel</subject><subject>Medical sciences</subject><subject>Miscellaneous</subject><subject>Ophthalmology</subject><subject>Ophthalmology - standards</subject><subject>Pilot Projects</subject><subject>Premature birth</subject><subject>Quality</subject><subject>Retina</subject><subject>Retinal Vessels - pathology</subject><subject>Retinopathies</subject><subject>Retinopathy</subject><subject>retinopathy of prematurity</subject><subject>Retinopathy of Prematurity - classification</subject><subject>Retinopathy of Prematurity - diagnosis</subject><subject>Sensitivity and Specificity</subject><subject>Software</subject><subject>telemedicine</subject><subject>Venules</subject><issn>0007-1161</issn><issn>1468-2079</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqFkctrFTEYxYMo9ra6dicDIoowbV6Tx1Iu1telbnwsQybzpZ3rvJpkoPe_N8NcK7jQVXJyft8hfAehZwSfE8LERb0fzylelKqYYA_QhnChSoqlfog2GGNZEiLICTqNcZ8lFUQ-RieUUIk5oxvUbcd-sqGN41CMvoC7CUIqroNtIMQijYXL_pwglDbGNiZoira311DYwXaH_LJMpRsoAqR2sEU7rLdxsunmsJhTgN6mObTp8AQ98raL8PR4nqFvl---bj-Uuy_vP27f7sqaC5xKShn3VZOF9L4B5XxTaV4LZ50mVijOHeFaOM0xETXHwCrgntS1oqA8NOwMvVpzpzDezhCT6dvooOvsAOMcjdJMS8WoyOTrf5IEa8aZJrzK6Iu_0P04h7yFTEmpNBdCLoEXK-XCGGMAb6aQFxYOOcoslZlcmVkqM2tleeL5MXeue2ju-d8dZeDlEbDR2c4HO7g2_uF4JaiSC1eu3FLT3b1vw08jJJOVufq-NbtPPz5TvOXmKvNvVr7u9__95S9QcLu1</recordid><startdate>20111001</startdate><enddate>20111001</enddate><creator>Shah, Deepika N</creator><creator>Wilson, Clare M</creator><creator>Ying, Gui-shuang</creator><creator>Karp, Karen A</creator><creator>Cocker, Kenneth D</creator><creator>Ng, Jeffrey</creator><creator>Schulenburg, Ed</creator><creator>Fielder, Alistair R</creator><creator>Mills, Monte D</creator><creator>Quinn, Graham E</creator><general>BMJ Publishing Group Ltd</general><general>BMJ Publishing Group</general><general>BMJ Publishing Group LTD</general><scope>BSCLL</scope><scope>IQODW</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7TK</scope><scope>7X8</scope></search><sort><creationdate>20111001</creationdate><title>Comparison of expert graders to computer-assisted image analysis of the retina in retinopathy of prematurity</title><author>Shah, Deepika N ; Wilson, Clare M ; Ying, Gui-shuang ; Karp, Karen A ; Cocker, Kenneth D ; Ng, Jeffrey ; Schulenburg, Ed ; Fielder, Alistair R ; Mills, Monte D ; Quinn, Graham E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b460t-2234f5db467ffde8cfd594b6cac91a6844c1496c94016b40e35e4f1bb82e8fed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Agreements</topic><topic>Arterioles</topic><topic>Automation</topic><topic>Babies</topic><topic>Biological and medical sciences</topic><topic>Cameras</topic><topic>child health (paediatrics)</topic><topic>Classification</topic><topic>Computer programs</topic><topic>Diagnosis, Computer-Assisted - standards</topic><topic>diagnostic tests/investigation</topic><topic>Digital image analysis</topic><topic>Digital imaging</topic><topic>Experts</topic><topic>Feasibility studies</topic><topic>Gestational Age</topic><topic>Humans</topic><topic>Image processing</topic><topic>Image Processing, Computer-Assisted</topic><topic>Infant, Extremely Low Birth Weight</topic><topic>Infant, Newborn</topic><topic>Mathematical models</topic><topic>Medical personnel</topic><topic>Medical sciences</topic><topic>Miscellaneous</topic><topic>Ophthalmology</topic><topic>Ophthalmology - standards</topic><topic>Pilot Projects</topic><topic>Premature birth</topic><topic>Quality</topic><topic>Retina</topic><topic>Retinal Vessels - pathology</topic><topic>Retinopathies</topic><topic>Retinopathy</topic><topic>retinopathy of prematurity</topic><topic>Retinopathy of Prematurity - classification</topic><topic>Retinopathy of Prematurity - diagnosis</topic><topic>Sensitivity and Specificity</topic><topic>Software</topic><topic>telemedicine</topic><topic>Venules</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shah, Deepika N</creatorcontrib><creatorcontrib>Wilson, Clare M</creatorcontrib><creatorcontrib>Ying, Gui-shuang</creatorcontrib><creatorcontrib>Karp, Karen A</creatorcontrib><creatorcontrib>Cocker, Kenneth D</creatorcontrib><creatorcontrib>Ng, Jeffrey</creatorcontrib><creatorcontrib>Schulenburg, Ed</creatorcontrib><creatorcontrib>Fielder, Alistair R</creatorcontrib><creatorcontrib>Mills, Monte D</creatorcontrib><creatorcontrib>Quinn, Graham E</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><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>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</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</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical 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>ProQuest Central China</collection><collection>Neurosciences Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>British journal of ophthalmology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shah, Deepika N</au><au>Wilson, Clare M</au><au>Ying, Gui-shuang</au><au>Karp, Karen A</au><au>Cocker, Kenneth D</au><au>Ng, Jeffrey</au><au>Schulenburg, Ed</au><au>Fielder, Alistair R</au><au>Mills, Monte D</au><au>Quinn, Graham E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of expert graders to computer-assisted image analysis of the retina in retinopathy of prematurity</atitle><jtitle>British journal of ophthalmology</jtitle><addtitle>Br J Ophthalmol</addtitle><date>2011-10-01</date><risdate>2011</risdate><volume>95</volume><issue>10</issue><spage>1442</spage><epage>1445</epage><pages>1442-1445</pages><issn>0007-1161</issn><eissn>1468-2079</eissn><coden>BJOPAL</coden><abstract>AimsTo determine correlation of width and tortuosity between expert graders and computer-assisted image analysis of the retina in narrow-field images of eyes with retinopathy of prematurity.Methods11 digital images were selected based on severity of retinopathy of prematurity (ROP). Narrow field images were analysed for width and tortuosity of vessels using computer-aided image analysis of the retina (CAIAR), an image analysis software, and by four ROP experts. Spearman correlation coefficients (ρ) assessed the correlation of CAIAR grading with expert grading. Intra-class correlations assessed agreement among graders. Width and tortuosity were compared among severity of ROP and treatment status using analysis of variance and generalised estimating equations.ResultsExpert measurements correlated well with measures from CAIAR for venule width (ρ=0.57–0.66) and arteriole tortuosity (ρ=0.71–0.81). Measurements from four graders agreed moderately well (intra-class correlations were 0.49 and 0.69 for venule width and arteriole tortuosity, respectively). Increased severity of ROP (no pre-plus/plus, pre-plus, plus) was associated with larger width (linear trend p=0.02 in two graders) and tortuosity (linear trend p<0.03 in all graders). Tortuosity measurements by CAIAR and graders were statistically different between treated and untreated eyes (p<0.002).ConclusionsWe found moderate correlation between expert graders' assessment of vessel tortuosity and width and CAIAR using narrow-field images.</abstract><cop>BMA House, Tavistock Square, London, WC1H 9JR</cop><pub>BMJ Publishing Group Ltd</pub><pmid>21270432</pmid><doi>10.1136/bjo.2010.185363</doi><tpages>4</tpages></addata></record> |
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| subjects | Agreements Arterioles Automation Babies Biological and medical sciences Cameras child health (paediatrics) Classification Computer programs Diagnosis, Computer-Assisted - standards diagnostic tests/investigation Digital image analysis Digital imaging Experts Feasibility studies Gestational Age Humans Image processing Image Processing, Computer-Assisted Infant, Extremely Low Birth Weight Infant, Newborn Mathematical models Medical personnel Medical sciences Miscellaneous Ophthalmology Ophthalmology - standards Pilot Projects Premature birth Quality Retina Retinal Vessels - pathology Retinopathies Retinopathy retinopathy of prematurity Retinopathy of Prematurity - classification Retinopathy of Prematurity - diagnosis Sensitivity and Specificity Software telemedicine Venules |
| title | Comparison of expert graders to computer-assisted image analysis of the retina in retinopathy of prematurity |
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