Glaucoma diagnostic performance of humphrey matrix and standard automated perimetry
Purpose To evaluate and compare the performance of Humphrey Matrix perimetry (Matrix) and standard automated perimetry (SAP) for glaucoma discrimination. Methods Forty-seven healthy and 68 glaucomatous subjects were included in this study. Glaucoma was defined as having a glaucomatous optic disc and...
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| Veröffentlicht in: | Japanese journal of ophthalmology 2009-09, Vol.53 (5), p.482-485 |
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| creator | Nam, Yoon Pyo Park, Seong Bae Kang, Sung Yong Sung, Kyung Rim Kook, Michael S. |
| description | Purpose
To evaluate and compare the performance of Humphrey Matrix perimetry (Matrix) and standard automated perimetry (SAP) for glaucoma discrimination.
Methods
Forty-seven healthy and 68 glaucomatous subjects were included in this study. Glaucoma was defined as having a glaucomatous optic disc and a nerve fiber indicator (NFI) GDx VCC scanning laser polarimetry score of >40. Glaucomatous subjects were classified into two groups, early (40 < NFI ≤ 50) and moderate to advanced (NFI > 50). The number of clusters on Matrix and SAP pattern deviation maps were estimated and scored. Areas under the receiver operating characteristic curves (AUCs) of the cluster scores were calculated for early and moderate to advanced stages of glaucoma and compared between Matrix and SAP.
Results
Among 68 glaucomatous subjects, 24 eyes were classified as having early and 44 eyes as having moderate to advanced glaucoma. The overall AUC of the Matrix cluster score was comparable to that of SAP (0.857, 0.881,
P
= 0.538). The AUC of the cluster score did not reveal statistically significant differences between Matrix and SAP for either early or moderate to advanced stages of glaucoma (
P
= 0.831, 0.237).
Conclusion
Both Matrix and SAP showed good diagnostic performance with glaucoma defined as structural loss. Matrix and SAP data showed similar discrimination capability for different stages of glaucoma determined by cluster analysis. |
| doi_str_mv | 10.1007/s10384-009-0717-0 |
| format | Article |
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To evaluate and compare the performance of Humphrey Matrix perimetry (Matrix) and standard automated perimetry (SAP) for glaucoma discrimination.
Methods
Forty-seven healthy and 68 glaucomatous subjects were included in this study. Glaucoma was defined as having a glaucomatous optic disc and a nerve fiber indicator (NFI) GDx VCC scanning laser polarimetry score of >40. Glaucomatous subjects were classified into two groups, early (40 < NFI ≤ 50) and moderate to advanced (NFI > 50). The number of clusters on Matrix and SAP pattern deviation maps were estimated and scored. Areas under the receiver operating characteristic curves (AUCs) of the cluster scores were calculated for early and moderate to advanced stages of glaucoma and compared between Matrix and SAP.
Results
Among 68 glaucomatous subjects, 24 eyes were classified as having early and 44 eyes as having moderate to advanced glaucoma. The overall AUC of the Matrix cluster score was comparable to that of SAP (0.857, 0.881,
P
= 0.538). The AUC of the cluster score did not reveal statistically significant differences between Matrix and SAP for either early or moderate to advanced stages of glaucoma (
P
= 0.831, 0.237).
Conclusion
Both Matrix and SAP showed good diagnostic performance with glaucoma defined as structural loss. Matrix and SAP data showed similar discrimination capability for different stages of glaucoma determined by cluster analysis.</description><identifier>ISSN: 0021-5155</identifier><identifier>EISSN: 1613-2246</identifier><identifier>DOI: 10.1007/s10384-009-0717-0</identifier><identifier>PMID: 19847602</identifier><language>eng</language><publisher>Tokyo: Springer Japan</publisher><subject>Area Under Curve ; Clinical Investigation ; False Positive Reactions ; Female ; Glaucoma ; Glaucoma, Open-Angle - diagnosis ; Humans ; Intraocular Pressure ; Low Tension Glaucoma - diagnosis ; Male ; Medicine ; Medicine & Public Health ; Ophthalmology ; Optic Nerve Diseases - diagnosis ; Predictive Value of Tests ; ROC Curve ; Vision Disorders - diagnosis ; Visual Field Tests - standards ; Visual Fields</subject><ispartof>Japanese journal of ophthalmology, 2009-09, Vol.53 (5), p.482-485</ispartof><rights>Japanese Ophthalmological Society (JOS) 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c394t-1eb2bfe5491e1121db783b7eba4895317de8c5bd224421e51c375647bde9a6bc3</citedby><cites>FETCH-LOGICAL-c394t-1eb2bfe5491e1121db783b7eba4895317de8c5bd224421e51c375647bde9a6bc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10384-009-0717-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10384-009-0717-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19847602$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nam, Yoon Pyo</creatorcontrib><creatorcontrib>Park, Seong Bae</creatorcontrib><creatorcontrib>Kang, Sung Yong</creatorcontrib><creatorcontrib>Sung, Kyung Rim</creatorcontrib><creatorcontrib>Kook, Michael S.</creatorcontrib><title>Glaucoma diagnostic performance of humphrey matrix and standard automated perimetry</title><title>Japanese journal of ophthalmology</title><addtitle>Jpn J Ophthalmol</addtitle><addtitle>Jpn J Ophthalmol</addtitle><description>Purpose
To evaluate and compare the performance of Humphrey Matrix perimetry (Matrix) and standard automated perimetry (SAP) for glaucoma discrimination.
Methods
Forty-seven healthy and 68 glaucomatous subjects were included in this study. Glaucoma was defined as having a glaucomatous optic disc and a nerve fiber indicator (NFI) GDx VCC scanning laser polarimetry score of >40. Glaucomatous subjects were classified into two groups, early (40 < NFI ≤ 50) and moderate to advanced (NFI > 50). The number of clusters on Matrix and SAP pattern deviation maps were estimated and scored. Areas under the receiver operating characteristic curves (AUCs) of the cluster scores were calculated for early and moderate to advanced stages of glaucoma and compared between Matrix and SAP.
Results
Among 68 glaucomatous subjects, 24 eyes were classified as having early and 44 eyes as having moderate to advanced glaucoma. The overall AUC of the Matrix cluster score was comparable to that of SAP (0.857, 0.881,
P
= 0.538). The AUC of the cluster score did not reveal statistically significant differences between Matrix and SAP for either early or moderate to advanced stages of glaucoma (
P
= 0.831, 0.237).
Conclusion
Both Matrix and SAP showed good diagnostic performance with glaucoma defined as structural loss. Matrix and SAP data showed similar discrimination capability for different stages of glaucoma determined by cluster analysis.</description><subject>Area Under Curve</subject><subject>Clinical Investigation</subject><subject>False Positive Reactions</subject><subject>Female</subject><subject>Glaucoma</subject><subject>Glaucoma, Open-Angle - diagnosis</subject><subject>Humans</subject><subject>Intraocular Pressure</subject><subject>Low Tension Glaucoma - diagnosis</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Ophthalmology</subject><subject>Optic Nerve Diseases - diagnosis</subject><subject>Predictive Value of Tests</subject><subject>ROC Curve</subject><subject>Vision Disorders - diagnosis</subject><subject>Visual Field Tests - standards</subject><subject>Visual Fields</subject><issn>0021-5155</issn><issn>1613-2246</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp1kMtOwzAQRS0EoqXwAWxQxD7g8SNOlghBQarEAlhbdjxpUzUP7ESif4-rVOqKzcxi7r0zcwi5BfoAlKrHAJTnIqW0SKkCldIzMocMeMqYyM7JnFIGqQQpZ-QqhC2lVDDOLskMilyojLI5-VzuzFh2jUlcbdZtF4a6THr0Vecb05aYdFWyGZt-43GfNGbw9W9iWpeEIVbjXWLGIboHdAdX3eDg99fkojK7gDfHviDfry9fz2_p6mP5_vy0SkteiCEFtMxWKEUBCMDAWZVzq9AakReSg3KYl9K6-IxggBJKrmQmlHVYmMyWfEHup9zedz8jhkFvu9G3caVmHBgXBeNRBJOo9F0IHivdxzON32ug-kBRTxR1pKgPFDWNnrtj8GgbdCfHEVsUsEkQ4qhdoz9t_j_1D1kYfbM</recordid><startdate>20090901</startdate><enddate>20090901</enddate><creator>Nam, Yoon Pyo</creator><creator>Park, Seong Bae</creator><creator>Kang, Sung Yong</creator><creator>Sung, Kyung Rim</creator><creator>Kook, Michael S.</creator><general>Springer Japan</general><general>Springer Nature B.V</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>7QL</scope><scope>7T7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20090901</creationdate><title>Glaucoma diagnostic performance of humphrey matrix and standard automated perimetry</title><author>Nam, Yoon Pyo ; Park, Seong Bae ; Kang, Sung Yong ; Sung, Kyung Rim ; Kook, Michael S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c394t-1eb2bfe5491e1121db783b7eba4895317de8c5bd224421e51c375647bde9a6bc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Area Under Curve</topic><topic>Clinical Investigation</topic><topic>False Positive Reactions</topic><topic>Female</topic><topic>Glaucoma</topic><topic>Glaucoma, Open-Angle - diagnosis</topic><topic>Humans</topic><topic>Intraocular Pressure</topic><topic>Low Tension Glaucoma - diagnosis</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Ophthalmology</topic><topic>Optic Nerve Diseases - diagnosis</topic><topic>Predictive Value of Tests</topic><topic>ROC Curve</topic><topic>Vision Disorders - diagnosis</topic><topic>Visual Field Tests - standards</topic><topic>Visual Fields</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nam, Yoon Pyo</creatorcontrib><creatorcontrib>Park, Seong Bae</creatorcontrib><creatorcontrib>Kang, Sung Yong</creatorcontrib><creatorcontrib>Sung, Kyung Rim</creatorcontrib><creatorcontrib>Kook, Michael S.</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>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS 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>Technology Research Database</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>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Japanese journal of ophthalmology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nam, Yoon Pyo</au><au>Park, Seong Bae</au><au>Kang, Sung Yong</au><au>Sung, Kyung Rim</au><au>Kook, Michael S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Glaucoma diagnostic performance of humphrey matrix and standard automated perimetry</atitle><jtitle>Japanese journal of ophthalmology</jtitle><stitle>Jpn J Ophthalmol</stitle><addtitle>Jpn J Ophthalmol</addtitle><date>2009-09-01</date><risdate>2009</risdate><volume>53</volume><issue>5</issue><spage>482</spage><epage>485</epage><pages>482-485</pages><issn>0021-5155</issn><eissn>1613-2246</eissn><abstract>Purpose
To evaluate and compare the performance of Humphrey Matrix perimetry (Matrix) and standard automated perimetry (SAP) for glaucoma discrimination.
Methods
Forty-seven healthy and 68 glaucomatous subjects were included in this study. Glaucoma was defined as having a glaucomatous optic disc and a nerve fiber indicator (NFI) GDx VCC scanning laser polarimetry score of >40. Glaucomatous subjects were classified into two groups, early (40 < NFI ≤ 50) and moderate to advanced (NFI > 50). The number of clusters on Matrix and SAP pattern deviation maps were estimated and scored. Areas under the receiver operating characteristic curves (AUCs) of the cluster scores were calculated for early and moderate to advanced stages of glaucoma and compared between Matrix and SAP.
Results
Among 68 glaucomatous subjects, 24 eyes were classified as having early and 44 eyes as having moderate to advanced glaucoma. The overall AUC of the Matrix cluster score was comparable to that of SAP (0.857, 0.881,
P
= 0.538). The AUC of the cluster score did not reveal statistically significant differences between Matrix and SAP for either early or moderate to advanced stages of glaucoma (
P
= 0.831, 0.237).
Conclusion
Both Matrix and SAP showed good diagnostic performance with glaucoma defined as structural loss. Matrix and SAP data showed similar discrimination capability for different stages of glaucoma determined by cluster analysis.</abstract><cop>Tokyo</cop><pub>Springer Japan</pub><pmid>19847602</pmid><doi>10.1007/s10384-009-0717-0</doi><tpages>4</tpages></addata></record> |
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| ispartof | Japanese journal of ophthalmology, 2009-09, Vol.53 (5), p.482-485 |
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| language | eng |
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| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Area Under Curve Clinical Investigation False Positive Reactions Female Glaucoma Glaucoma, Open-Angle - diagnosis Humans Intraocular Pressure Low Tension Glaucoma - diagnosis Male Medicine Medicine & Public Health Ophthalmology Optic Nerve Diseases - diagnosis Predictive Value of Tests ROC Curve Vision Disorders - diagnosis Visual Field Tests - standards Visual Fields |
| title | Glaucoma diagnostic performance of humphrey matrix and standard automated perimetry |
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