Loading…

Glaucoma diagnostic performance of macular ganglion cell complex thickness using regular and long axial length normative databases

The risks of misdiagnosing a healthy individual as glaucomatous or vice versa may be high in a population with a large majority of highly myopic individuals, due to considerable morphologic variability in high myopic fundus. This study aims to compare the diagnostic ability of the regular and long a...

Full description

Saved in:
Bibliographic Details
Published in:Scientific reports 2022-07, Vol.12 (1), p.11263-11263, Article 11263
Main Authors: Chen, Henry Shen-Lih, Ling, Xiao Chun, Lu, Da-Wen, Chuang, Lan-Hsing, Su, Wei-Wen, Lee, Yung-Sung, Wu, Wei-Chi, Yeh, Po-Han
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c517t-27f4f61b70efc4c841e8a51b32c15d7129bb0415c3d628c814bb140679ed74fa3
cites cdi_FETCH-LOGICAL-c517t-27f4f61b70efc4c841e8a51b32c15d7129bb0415c3d628c814bb140679ed74fa3
container_end_page 11263
container_issue 1
container_start_page 11263
container_title Scientific reports
container_volume 12
creator Chen, Henry Shen-Lih
Ling, Xiao Chun
Lu, Da-Wen
Chuang, Lan-Hsing
Su, Wei-Wen
Lee, Yung-Sung
Wu, Wei-Chi
Yeh, Po-Han
description The risks of misdiagnosing a healthy individual as glaucomatous or vice versa may be high in a population with a large majority of highly myopic individuals, due to considerable morphologic variability in high myopic fundus. This study aims to compare the diagnostic ability of the regular and long axial length databases in the RS-3000 Advance SD-OCT (Nidek) device to correctly diagnose glaucoma with high myopia. Patients with high myopia (axial length ≥ 26.0 mm) in Chang Gung Memorial Hospital, Taiwan between 2015 and 2020 were included. Glaucoma was diagnosed based on glaucomatous discs, visual field defects and corresponding retinal nerve fiber layer defects. The sensitivity, specificity, diagnostic accuracy and likelihood ratios of diagnosing glaucoma via mGCC thickness in both superior/inferior and GChart mapping using the regular and long axial length normative databases. The specificity and diagnostic accuracy of mGCC thickness for distinguishing glaucomatous eyes from nonglaucomatous eyes among highly myopic eyes were significantly improved using the long axial length database (p = 0.046). There were also significant proportion changes in S/I mapping as well as GChart mapping (37.3% and 48.0%, respectively; p 
doi_str_mv 10.1038/s41598-022-15255-x
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_a335ce690cbd47eeae5d18edc74b162b</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_a335ce690cbd47eeae5d18edc74b162b</doaj_id><sourcerecordid>2684318886</sourcerecordid><originalsourceid>FETCH-LOGICAL-c517t-27f4f61b70efc4c841e8a51b32c15d7129bb0415c3d628c814bb140679ed74fa3</originalsourceid><addsrcrecordid>eNp9kk9v1DAQxSMEolXpF-BkiQuXgP8mzgUJVVAqVeoFztbYmWSzOPZiJ9Vy5ZPj3a2g5YAvtsbv_TQzelX1mtF3jAr9PkumOl1TzmumuFL1_ll1zqlUNRecP3_0Pqsuc97SchTvJOteVmdCtVoz2Z1Xv649rC7OQPoJxhDzMjmywzTENENwSOJAZnCrh0RGCKOfYiAOvSfFtPO4J8tmct8D5kzWPIWRJByPagg98bEUYD-BJx7DuGxIOHCX6R5JDwtYyJhfVS8G8BkvH-6L6tvnT1-vvtS3d9c3Vx9va6dYu9S8HeTQMNtSHJx0WjLUoJgV3DHVt4x31tKyFCf6hmtXxrOWSdq0HfatHEBcVDcnbh9ha3ZpmiH9NBEmcyzENBpIZXyPBoRQDpuOOtvLFhFQ9Uxj71ppWcNtYX04sXarnUsdw5LAP4E-_QnTxozx3nRcCaZkAbx9AKT4Y8W8mHnKh71CwLhmwxutqGgp5UX65h_pNq4plFUdVFIwrXVTVPykcinmnHD40wyj5pAYc0qMKYkxx8SYfTGJkykXcRgx_UX_x_UbIwPF9A</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2684318886</pqid></control><display><type>article</type><title>Glaucoma diagnostic performance of macular ganglion cell complex thickness using regular and long axial length normative databases</title><source>PubMed (Medline)</source><source>Publicly Available Content Database</source><source>Full-Text Journals in Chemistry (Open access)</source><source>Springer Nature - nature.com Journals - Fully Open Access</source><creator>Chen, Henry Shen-Lih ; Ling, Xiao Chun ; Lu, Da-Wen ; Chuang, Lan-Hsing ; Su, Wei-Wen ; Lee, Yung-Sung ; Wu, Wei-Chi ; Yeh, Po-Han</creator><creatorcontrib>Chen, Henry Shen-Lih ; Ling, Xiao Chun ; Lu, Da-Wen ; Chuang, Lan-Hsing ; Su, Wei-Wen ; Lee, Yung-Sung ; Wu, Wei-Chi ; Yeh, Po-Han</creatorcontrib><description>The risks of misdiagnosing a healthy individual as glaucomatous or vice versa may be high in a population with a large majority of highly myopic individuals, due to considerable morphologic variability in high myopic fundus. This study aims to compare the diagnostic ability of the regular and long axial length databases in the RS-3000 Advance SD-OCT (Nidek) device to correctly diagnose glaucoma with high myopia. Patients with high myopia (axial length ≥ 26.0 mm) in Chang Gung Memorial Hospital, Taiwan between 2015 and 2020 were included. Glaucoma was diagnosed based on glaucomatous discs, visual field defects and corresponding retinal nerve fiber layer defects. The sensitivity, specificity, diagnostic accuracy and likelihood ratios of diagnosing glaucoma via mGCC thickness in both superior/inferior and GChart mapping using the regular and long axial length normative databases. The specificity and diagnostic accuracy of mGCC thickness for distinguishing glaucomatous eyes from nonglaucomatous eyes among highly myopic eyes were significantly improved using the long axial length database (p = 0.046). There were also significant proportion changes in S/I mapping as well as GChart mapping (37.3% and 48.0%, respectively; p &lt; 0.01) from abnormal to normal in the myopic normal eye group when using the long axial length normative database. The study revealed that clinicians could utilize a long axial length database to effectively decrease the number of false-positive diagnoses or to correctly identify highly myopic normal eyes misdiagnosed as glaucomatous eyes.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-022-15255-x</identifier><identifier>PMID: 35788149</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/699/3161 ; 692/699/3161/3169 ; 692/699/3161/3172 ; Eye ; Glaucoma ; Humanities and Social Sciences ; Mapping ; multidisciplinary ; Myopia ; Science ; Science (multidisciplinary) ; Visual field</subject><ispartof>Scientific reports, 2022-07, Vol.12 (1), p.11263-11263, Article 11263</ispartof><rights>The Author(s) 2022</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c517t-27f4f61b70efc4c841e8a51b32c15d7129bb0415c3d628c814bb140679ed74fa3</citedby><cites>FETCH-LOGICAL-c517t-27f4f61b70efc4c841e8a51b32c15d7129bb0415c3d628c814bb140679ed74fa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2684318886/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2684318886?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids></links><search><creatorcontrib>Chen, Henry Shen-Lih</creatorcontrib><creatorcontrib>Ling, Xiao Chun</creatorcontrib><creatorcontrib>Lu, Da-Wen</creatorcontrib><creatorcontrib>Chuang, Lan-Hsing</creatorcontrib><creatorcontrib>Su, Wei-Wen</creatorcontrib><creatorcontrib>Lee, Yung-Sung</creatorcontrib><creatorcontrib>Wu, Wei-Chi</creatorcontrib><creatorcontrib>Yeh, Po-Han</creatorcontrib><title>Glaucoma diagnostic performance of macular ganglion cell complex thickness using regular and long axial length normative databases</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><description>The risks of misdiagnosing a healthy individual as glaucomatous or vice versa may be high in a population with a large majority of highly myopic individuals, due to considerable morphologic variability in high myopic fundus. This study aims to compare the diagnostic ability of the regular and long axial length databases in the RS-3000 Advance SD-OCT (Nidek) device to correctly diagnose glaucoma with high myopia. Patients with high myopia (axial length ≥ 26.0 mm) in Chang Gung Memorial Hospital, Taiwan between 2015 and 2020 were included. Glaucoma was diagnosed based on glaucomatous discs, visual field defects and corresponding retinal nerve fiber layer defects. The sensitivity, specificity, diagnostic accuracy and likelihood ratios of diagnosing glaucoma via mGCC thickness in both superior/inferior and GChart mapping using the regular and long axial length normative databases. The specificity and diagnostic accuracy of mGCC thickness for distinguishing glaucomatous eyes from nonglaucomatous eyes among highly myopic eyes were significantly improved using the long axial length database (p = 0.046). There were also significant proportion changes in S/I mapping as well as GChart mapping (37.3% and 48.0%, respectively; p &lt; 0.01) from abnormal to normal in the myopic normal eye group when using the long axial length normative database. The study revealed that clinicians could utilize a long axial length database to effectively decrease the number of false-positive diagnoses or to correctly identify highly myopic normal eyes misdiagnosed as glaucomatous eyes.</description><subject>692/699/3161</subject><subject>692/699/3161/3169</subject><subject>692/699/3161/3172</subject><subject>Eye</subject><subject>Glaucoma</subject><subject>Humanities and Social Sciences</subject><subject>Mapping</subject><subject>multidisciplinary</subject><subject>Myopia</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Visual field</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kk9v1DAQxSMEolXpF-BkiQuXgP8mzgUJVVAqVeoFztbYmWSzOPZiJ9Vy5ZPj3a2g5YAvtsbv_TQzelX1mtF3jAr9PkumOl1TzmumuFL1_ll1zqlUNRecP3_0Pqsuc97SchTvJOteVmdCtVoz2Z1Xv649rC7OQPoJxhDzMjmywzTENENwSOJAZnCrh0RGCKOfYiAOvSfFtPO4J8tmct8D5kzWPIWRJByPagg98bEUYD-BJx7DuGxIOHCX6R5JDwtYyJhfVS8G8BkvH-6L6tvnT1-vvtS3d9c3Vx9va6dYu9S8HeTQMNtSHJx0WjLUoJgV3DHVt4x31tKyFCf6hmtXxrOWSdq0HfatHEBcVDcnbh9ha3ZpmiH9NBEmcyzENBpIZXyPBoRQDpuOOtvLFhFQ9Uxj71ppWcNtYX04sXarnUsdw5LAP4E-_QnTxozx3nRcCaZkAbx9AKT4Y8W8mHnKh71CwLhmwxutqGgp5UX65h_pNq4plFUdVFIwrXVTVPykcinmnHD40wyj5pAYc0qMKYkxx8SYfTGJkykXcRgx_UX_x_UbIwPF9A</recordid><startdate>20220704</startdate><enddate>20220704</enddate><creator>Chen, Henry Shen-Lih</creator><creator>Ling, Xiao Chun</creator><creator>Lu, Da-Wen</creator><creator>Chuang, Lan-Hsing</creator><creator>Su, Wei-Wen</creator><creator>Lee, Yung-Sung</creator><creator>Wu, Wei-Chi</creator><creator>Yeh, Po-Han</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><general>Nature Portfolio</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</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>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20220704</creationdate><title>Glaucoma diagnostic performance of macular ganglion cell complex thickness using regular and long axial length normative databases</title><author>Chen, Henry Shen-Lih ; Ling, Xiao Chun ; Lu, Da-Wen ; Chuang, Lan-Hsing ; Su, Wei-Wen ; Lee, Yung-Sung ; Wu, Wei-Chi ; Yeh, Po-Han</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c517t-27f4f61b70efc4c841e8a51b32c15d7129bb0415c3d628c814bb140679ed74fa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>692/699/3161</topic><topic>692/699/3161/3169</topic><topic>692/699/3161/3172</topic><topic>Eye</topic><topic>Glaucoma</topic><topic>Humanities and Social Sciences</topic><topic>Mapping</topic><topic>multidisciplinary</topic><topic>Myopia</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Visual field</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Henry Shen-Lih</creatorcontrib><creatorcontrib>Ling, Xiao Chun</creatorcontrib><creatorcontrib>Lu, Da-Wen</creatorcontrib><creatorcontrib>Chuang, Lan-Hsing</creatorcontrib><creatorcontrib>Su, Wei-Wen</creatorcontrib><creatorcontrib>Lee, Yung-Sung</creatorcontrib><creatorcontrib>Wu, Wei-Chi</creatorcontrib><creatorcontrib>Yeh, Po-Han</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</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)</collection><collection>ProQuest Central</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 &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>ProQuest Biological Science Journals</collection><collection>Publicly Available Content 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 Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Henry Shen-Lih</au><au>Ling, Xiao Chun</au><au>Lu, Da-Wen</au><au>Chuang, Lan-Hsing</au><au>Su, Wei-Wen</au><au>Lee, Yung-Sung</au><au>Wu, Wei-Chi</au><au>Yeh, Po-Han</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Glaucoma diagnostic performance of macular ganglion cell complex thickness using regular and long axial length normative databases</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><date>2022-07-04</date><risdate>2022</risdate><volume>12</volume><issue>1</issue><spage>11263</spage><epage>11263</epage><pages>11263-11263</pages><artnum>11263</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>The risks of misdiagnosing a healthy individual as glaucomatous or vice versa may be high in a population with a large majority of highly myopic individuals, due to considerable morphologic variability in high myopic fundus. This study aims to compare the diagnostic ability of the regular and long axial length databases in the RS-3000 Advance SD-OCT (Nidek) device to correctly diagnose glaucoma with high myopia. Patients with high myopia (axial length ≥ 26.0 mm) in Chang Gung Memorial Hospital, Taiwan between 2015 and 2020 were included. Glaucoma was diagnosed based on glaucomatous discs, visual field defects and corresponding retinal nerve fiber layer defects. The sensitivity, specificity, diagnostic accuracy and likelihood ratios of diagnosing glaucoma via mGCC thickness in both superior/inferior and GChart mapping using the regular and long axial length normative databases. The specificity and diagnostic accuracy of mGCC thickness for distinguishing glaucomatous eyes from nonglaucomatous eyes among highly myopic eyes were significantly improved using the long axial length database (p = 0.046). There were also significant proportion changes in S/I mapping as well as GChart mapping (37.3% and 48.0%, respectively; p &lt; 0.01) from abnormal to normal in the myopic normal eye group when using the long axial length normative database. The study revealed that clinicians could utilize a long axial length database to effectively decrease the number of false-positive diagnoses or to correctly identify highly myopic normal eyes misdiagnosed as glaucomatous eyes.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>35788149</pmid><doi>10.1038/s41598-022-15255-x</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2045-2322
ispartof Scientific reports, 2022-07, Vol.12 (1), p.11263-11263, Article 11263
issn 2045-2322
2045-2322
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_a335ce690cbd47eeae5d18edc74b162b
source PubMed (Medline); Publicly Available Content Database; Full-Text Journals in Chemistry (Open access); Springer Nature - nature.com Journals - Fully Open Access
subjects 692/699/3161
692/699/3161/3169
692/699/3161/3172
Eye
Glaucoma
Humanities and Social Sciences
Mapping
multidisciplinary
Myopia
Science
Science (multidisciplinary)
Visual field
title Glaucoma diagnostic performance of macular ganglion cell complex thickness using regular and long axial length normative databases
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T22%3A15%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Glaucoma%20diagnostic%20performance%20of%20macular%20ganglion%20cell%20complex%20thickness%20using%20regular%20and%20long%20axial%20length%20normative%20databases&rft.jtitle=Scientific%20reports&rft.au=Chen,%20Henry%20Shen-Lih&rft.date=2022-07-04&rft.volume=12&rft.issue=1&rft.spage=11263&rft.epage=11263&rft.pages=11263-11263&rft.artnum=11263&rft.issn=2045-2322&rft.eissn=2045-2322&rft_id=info:doi/10.1038/s41598-022-15255-x&rft_dat=%3Cproquest_doaj_%3E2684318886%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c517t-27f4f61b70efc4c841e8a51b32c15d7129bb0415c3d628c814bb140679ed74fa3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2684318886&rft_id=info:pmid/35788149&rfr_iscdi=true