Predicting the postoperative intraocular lens position based on IOL Master 700 biometry, compared with results from the anterior segment analysis system
Purpose Predict intraocular lens position after cataract surgery using the IOL Master 700 and explore the associated ocular parameters compared with the results obtained from the anterior segment analysis system (Sirius, CSO Inc, Florence, Italy). Methods A total of 98 patients (106 eyes) were inclu...
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description | Purpose
Predict intraocular lens position after cataract surgery using the IOL Master 700 and explore the associated ocular parameters compared with the results obtained from the anterior segment analysis system (Sirius, CSO Inc, Florence, Italy).
Methods
A total of 98 patients (106 eyes) were included in the retrospective study. The postoperative intraocular lens position was obtained using the IOL Master 700 and measured using Adobe Illustrator software. Correlation analysis and linear regression analysis were applied to study the correlation between the actual position of the postoperative intraocular lens (ALP) and the ocular parameters. In addition, Bland–Altman consistency analysis was used to compare the consistency between any two among the predicted intraocular lens position (ALPi) obtained using IOL Master 700 biometry, the predicted artificial lens position (ALPs) calculated using the anterior segment analysis system, or the ALP.
Results
Ocular parameters, including preoperative anterior chamber depth, lens thickness, axial length, white-to-white, and postoperative refractive error were all correlated with ALP after cataract surgery (
P
|
doi_str_mv | 10.1007/s00417-023-06175-1 |
format | Article |
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Predict intraocular lens position after cataract surgery using the IOL Master 700 and explore the associated ocular parameters compared with the results obtained from the anterior segment analysis system (Sirius, CSO Inc, Florence, Italy).
Methods
A total of 98 patients (106 eyes) were included in the retrospective study. The postoperative intraocular lens position was obtained using the IOL Master 700 and measured using Adobe Illustrator software. Correlation analysis and linear regression analysis were applied to study the correlation between the actual position of the postoperative intraocular lens (ALP) and the ocular parameters. In addition, Bland–Altman consistency analysis was used to compare the consistency between any two among the predicted intraocular lens position (ALPi) obtained using IOL Master 700 biometry, the predicted artificial lens position (ALPs) calculated using the anterior segment analysis system, or the ALP.
Results
Ocular parameters, including preoperative anterior chamber depth, lens thickness, axial length, white-to-white, and postoperative refractive error were all correlated with ALP after cataract surgery (
P
< 0.05) using univariate analysis. However, in multivariate linear regression, only the first three variables were correlated with ALP. Compared with the equation obtained by the anterior segment analysis, the equation from IOL Master 700 biometry provided a better fit. The results of the consistency analysis showed that ALP, ALPi, and ALPs were in good agreement.
Conclusion
IOL Master 700 biometry can help predict intraocular lens position after surgery, and its accuracy is better than that provided by the anterior segment analysis system.</description><identifier>ISSN: 0721-832X</identifier><identifier>EISSN: 1435-702X</identifier><identifier>DOI: 10.1007/s00417-023-06175-1</identifier><identifier>PMID: 37477737</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Anterior chamber ; Biometrics ; Cataract ; Cataracts ; Correlation analysis ; Eye surgery ; Intraocular lenses ; Medicine ; Medicine & Public Health ; Ophthalmology ; Regression analysis ; Surgery</subject><ispartof>Graefe's archive for clinical and experimental ophthalmology, 2024, Vol.262 (1), p.113-119</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-3d1c605e09f098fc015bb65ebdf57a1e1c0af4b3912895ee8ef6ee44ae1820d3</cites><orcidid>0000-0002-1423-1737</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00417-023-06175-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00417-023-06175-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37477737$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chang, Jiayu</creatorcontrib><creatorcontrib>Wang, Lijun</creatorcontrib><creatorcontrib>Jiang, Chun</creatorcontrib><creatorcontrib>Song, Ziyue</creatorcontrib><creatorcontrib>Lu, Peirong</creatorcontrib><title>Predicting the postoperative intraocular lens position based on IOL Master 700 biometry, compared with results from the anterior segment analysis system</title><title>Graefe's archive for clinical and experimental ophthalmology</title><addtitle>Graefes Arch Clin Exp Ophthalmol</addtitle><addtitle>Graefes Arch Clin Exp Ophthalmol</addtitle><description>Purpose
Predict intraocular lens position after cataract surgery using the IOL Master 700 and explore the associated ocular parameters compared with the results obtained from the anterior segment analysis system (Sirius, CSO Inc, Florence, Italy).
Methods
A total of 98 patients (106 eyes) were included in the retrospective study. The postoperative intraocular lens position was obtained using the IOL Master 700 and measured using Adobe Illustrator software. Correlation analysis and linear regression analysis were applied to study the correlation between the actual position of the postoperative intraocular lens (ALP) and the ocular parameters. In addition, Bland–Altman consistency analysis was used to compare the consistency between any two among the predicted intraocular lens position (ALPi) obtained using IOL Master 700 biometry, the predicted artificial lens position (ALPs) calculated using the anterior segment analysis system, or the ALP.
Results
Ocular parameters, including preoperative anterior chamber depth, lens thickness, axial length, white-to-white, and postoperative refractive error were all correlated with ALP after cataract surgery (
P
< 0.05) using univariate analysis. However, in multivariate linear regression, only the first three variables were correlated with ALP. Compared with the equation obtained by the anterior segment analysis, the equation from IOL Master 700 biometry provided a better fit. The results of the consistency analysis showed that ALP, ALPi, and ALPs were in good agreement.
Conclusion
IOL Master 700 biometry can help predict intraocular lens position after surgery, and its accuracy is better than that provided by the anterior segment analysis system.</description><subject>Anterior chamber</subject><subject>Biometrics</subject><subject>Cataract</subject><subject>Cataracts</subject><subject>Correlation analysis</subject><subject>Eye surgery</subject><subject>Intraocular lenses</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Ophthalmology</subject><subject>Regression analysis</subject><subject>Surgery</subject><issn>0721-832X</issn><issn>1435-702X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kc9u1DAQhy0EokvhBTggS1w4EDpjJ3FyRBV_Km3VHnroLXKSydZVEgePU7RvwuPidgtIHHqy5fnmm5F_QrxF-IQA5oQBcjQZKJ1BiabI8JnYYK6LzIC6fi42YBRmlVbXR-IV8y0kXhf4UhxpkxtjtNmIX5eBetdFN-9kvCG5eI5-oWCjuyPp5his79bRBjnSzPdlF52fZWuZepkuZxdbeW45UpAGQLbOTxTD_qPs_LTYJJc_XbyRgXgdI8sh-OlhkJ1Ti_NBMu0mmmN6sOOeHUveJ9v0WrwY7Mj05vE8Fldfv1ydfs-2F9_OTj9vs06rMma6x66EgqAeoK6GDrBo27Kgth8KY5GwAzvkra5RVXVBVNFQEuW5JawU9PpYfDhol-B_rMSxmRx3NI52Jr9yo6oc0wdjaRL6_j_01q8hbZ2oGk1paq2KRKkD1QXPHGholuAmG_YNQnMfW3OIrUnW5iG2BlPTu0f12k7U_235k1MC9AHgVJp3FP7NfkL7G1nkpfY</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Chang, Jiayu</creator><creator>Wang, Lijun</creator><creator>Jiang, Chun</creator><creator>Song, Ziyue</creator><creator>Lu, Peirong</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><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>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</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>7X8</scope><orcidid>https://orcid.org/0000-0002-1423-1737</orcidid></search><sort><creationdate>2024</creationdate><title>Predicting the postoperative intraocular lens position based on IOL Master 700 biometry, compared with results from the anterior segment analysis system</title><author>Chang, Jiayu ; Wang, Lijun ; Jiang, Chun ; Song, Ziyue ; Lu, Peirong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-3d1c605e09f098fc015bb65ebdf57a1e1c0af4b3912895ee8ef6ee44ae1820d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Anterior chamber</topic><topic>Biometrics</topic><topic>Cataract</topic><topic>Cataracts</topic><topic>Correlation analysis</topic><topic>Eye surgery</topic><topic>Intraocular lenses</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Ophthalmology</topic><topic>Regression analysis</topic><topic>Surgery</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chang, Jiayu</creatorcontrib><creatorcontrib>Wang, Lijun</creatorcontrib><creatorcontrib>Jiang, Chun</creatorcontrib><creatorcontrib>Song, Ziyue</creatorcontrib><creatorcontrib>Lu, Peirong</creatorcontrib><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>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>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>MEDLINE - Academic</collection><jtitle>Graefe's archive for clinical and experimental ophthalmology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chang, Jiayu</au><au>Wang, Lijun</au><au>Jiang, Chun</au><au>Song, Ziyue</au><au>Lu, Peirong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting the postoperative intraocular lens position based on IOL Master 700 biometry, compared with results from the anterior segment analysis system</atitle><jtitle>Graefe's archive for clinical and experimental ophthalmology</jtitle><stitle>Graefes Arch Clin Exp Ophthalmol</stitle><addtitle>Graefes Arch Clin Exp Ophthalmol</addtitle><date>2024</date><risdate>2024</risdate><volume>262</volume><issue>1</issue><spage>113</spage><epage>119</epage><pages>113-119</pages><issn>0721-832X</issn><eissn>1435-702X</eissn><abstract>Purpose
Predict intraocular lens position after cataract surgery using the IOL Master 700 and explore the associated ocular parameters compared with the results obtained from the anterior segment analysis system (Sirius, CSO Inc, Florence, Italy).
Methods
A total of 98 patients (106 eyes) were included in the retrospective study. The postoperative intraocular lens position was obtained using the IOL Master 700 and measured using Adobe Illustrator software. Correlation analysis and linear regression analysis were applied to study the correlation between the actual position of the postoperative intraocular lens (ALP) and the ocular parameters. In addition, Bland–Altman consistency analysis was used to compare the consistency between any two among the predicted intraocular lens position (ALPi) obtained using IOL Master 700 biometry, the predicted artificial lens position (ALPs) calculated using the anterior segment analysis system, or the ALP.
Results
Ocular parameters, including preoperative anterior chamber depth, lens thickness, axial length, white-to-white, and postoperative refractive error were all correlated with ALP after cataract surgery (
P
< 0.05) using univariate analysis. However, in multivariate linear regression, only the first three variables were correlated with ALP. Compared with the equation obtained by the anterior segment analysis, the equation from IOL Master 700 biometry provided a better fit. The results of the consistency analysis showed that ALP, ALPi, and ALPs were in good agreement.
Conclusion
IOL Master 700 biometry can help predict intraocular lens position after surgery, and its accuracy is better than that provided by the anterior segment analysis system.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>37477737</pmid><doi>10.1007/s00417-023-06175-1</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-1423-1737</orcidid></addata></record> |
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subjects | Anterior chamber Biometrics Cataract Cataracts Correlation analysis Eye surgery Intraocular lenses Medicine Medicine & Public Health Ophthalmology Regression analysis Surgery |
title | Predicting the postoperative intraocular lens position based on IOL Master 700 biometry, compared with results from the anterior segment analysis system |
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