A new approach to keratoconus detection based on corneal morphogeometric analysis
To characterize corneal structural changes in keratoconus using a new morphogeometric approach and to evaluate its potential diagnostic ability. Comparative study including 464 eyes of 464 patients (age, 16 and 72 years) divided into two groups: control group (143 healthy eyes) and keratoconus group...
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description | To characterize corneal structural changes in keratoconus using a new morphogeometric approach and to evaluate its potential diagnostic ability.
Comparative study including 464 eyes of 464 patients (age, 16 and 72 years) divided into two groups: control group (143 healthy eyes) and keratoconus group (321 keratoconus eyes). Topographic information (Sirius, CSO, Italy) was processed with SolidWorks v2012 and a solid model representing the geometry of each cornea was generated. The following parameters were defined: anterior (Aant) and posterior (Apost) corneal surface areas, area of the cornea within the sagittal plane passing through the Z axis and the apex (Aapexant, Aapexpost) and minimum thickness points (Amctant, Amctpost) of the anterior and posterior corneal surfaces, and average distance from the Z axis to the apex (Dapexant, Dapexpost) and minimum thickness points (Dmctant, Dmctpost) of both corneal surfaces.
Significant differences among control and keratoconus group were found in Aapexant, Aapexpost, Amctant, Amctpost, Dapexant, Dapexpost (all p |
doi_str_mv | 10.1371/journal.pone.0184569 |
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Comparative study including 464 eyes of 464 patients (age, 16 and 72 years) divided into two groups: control group (143 healthy eyes) and keratoconus group (321 keratoconus eyes). Topographic information (Sirius, CSO, Italy) was processed with SolidWorks v2012 and a solid model representing the geometry of each cornea was generated. The following parameters were defined: anterior (Aant) and posterior (Apost) corneal surface areas, area of the cornea within the sagittal plane passing through the Z axis and the apex (Aapexant, Aapexpost) and minimum thickness points (Amctant, Amctpost) of the anterior and posterior corneal surfaces, and average distance from the Z axis to the apex (Dapexant, Dapexpost) and minimum thickness points (Dmctant, Dmctpost) of both corneal surfaces.
Significant differences among control and keratoconus group were found in Aapexant, Aapexpost, Amctant, Amctpost, Dapexant, Dapexpost (all p<0.001), Apost (p = 0.014), and Dmctpost (p = 0.035). Significant correlations in keratoconus group were found between Aant and Apost (r = 0.836), Amctant and Amctpost (r = 0.983), and Dmctant and Dmctpost (r = 0.954, all p<0.001). A logistic regression analysis revealed that the detection of keratoconus grade I (Amsler Krumeich) was related to Apost, Atot, Aapexant, Amctant, Amctpost, Dapexpost, Dmctant and Dmctpost (Hosmer-Lemeshow: p>0.05, R2 Nagelkerke: 0.926). The overall percentage of cases correctly classified by the model was 97.30%.
Our morphogeometric approach based on the analysis of the cornea as a solid is useful for the characterization and detection of keratoconus.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0184569</identifier><identifier>PMID: 28886157</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Aged ; Asymmetry ; Biology and Life Sciences ; Case-Control Studies ; Cataracts ; Comparative studies ; Cornea ; Cornea - pathology ; Corneal Topography ; Diagnostic systems ; Eye (anatomy) ; Female ; Humans ; Keratoconus ; Keratoconus - diagnosis ; Male ; Medical imaging ; Medicine and Health Sciences ; Middle Aged ; Normal distribution ; Patient Outcome Assessment ; Physical Sciences ; Quality ; R&D ; Regression analysis ; Research & development ; Research and Analysis Methods ; Severity of Illness Index ; Spain ; Surgery ; Tomography ; Topography ; Young Adult</subject><ispartof>PloS one, 2017-09, Vol.12 (9), p.e0184569-e0184569</ispartof><rights>2017 Cavas-Martínez et al. 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>2017 Cavas-Martínez et al 2017 Cavas-Martínez et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c592t-5f4994ccff6024b85f544825948ab2d5587215294adfddf419b0925963cbe7fa3</citedby><cites>FETCH-LOGICAL-c592t-5f4994ccff6024b85f544825948ab2d5587215294adfddf419b0925963cbe7fa3</cites><orcidid>0000-0002-8391-0688</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/PMC5590974/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5590974/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28886157$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cavas-Martínez, Francisco</creatorcontrib><creatorcontrib>Bataille, Laurent</creatorcontrib><creatorcontrib>Fernández-Pacheco, Daniel G</creatorcontrib><creatorcontrib>Cañavate, Francisco J F</creatorcontrib><creatorcontrib>Alió, Jorge L</creatorcontrib><title>A new approach to keratoconus detection based on corneal morphogeometric analysis</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>To characterize corneal structural changes in keratoconus using a new morphogeometric approach and to evaluate its potential diagnostic ability.
Comparative study including 464 eyes of 464 patients (age, 16 and 72 years) divided into two groups: control group (143 healthy eyes) and keratoconus group (321 keratoconus eyes). Topographic information (Sirius, CSO, Italy) was processed with SolidWorks v2012 and a solid model representing the geometry of each cornea was generated. The following parameters were defined: anterior (Aant) and posterior (Apost) corneal surface areas, area of the cornea within the sagittal plane passing through the Z axis and the apex (Aapexant, Aapexpost) and minimum thickness points (Amctant, Amctpost) of the anterior and posterior corneal surfaces, and average distance from the Z axis to the apex (Dapexant, Dapexpost) and minimum thickness points (Dmctant, Dmctpost) of both corneal surfaces.
Significant differences among control and keratoconus group were found in Aapexant, Aapexpost, Amctant, Amctpost, Dapexant, Dapexpost (all p<0.001), Apost (p = 0.014), and Dmctpost (p = 0.035). Significant correlations in keratoconus group were found between Aant and Apost (r = 0.836), Amctant and Amctpost (r = 0.983), and Dmctant and Dmctpost (r = 0.954, all p<0.001). A logistic regression analysis revealed that the detection of keratoconus grade I (Amsler Krumeich) was related to Apost, Atot, Aapexant, Amctant, Amctpost, Dapexpost, Dmctant and Dmctpost (Hosmer-Lemeshow: p>0.05, R2 Nagelkerke: 0.926). The overall percentage of cases correctly classified by the model was 97.30%.
Our morphogeometric approach based on the analysis of the cornea as a solid is useful for the characterization and detection of keratoconus.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Asymmetry</subject><subject>Biology and Life Sciences</subject><subject>Case-Control Studies</subject><subject>Cataracts</subject><subject>Comparative studies</subject><subject>Cornea</subject><subject>Cornea - pathology</subject><subject>Corneal Topography</subject><subject>Diagnostic systems</subject><subject>Eye (anatomy)</subject><subject>Female</subject><subject>Humans</subject><subject>Keratoconus</subject><subject>Keratoconus - diagnosis</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Normal distribution</subject><subject>Patient Outcome Assessment</subject><subject>Physical Sciences</subject><subject>Quality</subject><subject>R&D</subject><subject>Regression analysis</subject><subject>Research & development</subject><subject>Research and Analysis Methods</subject><subject>Severity of Illness Index</subject><subject>Spain</subject><subject>Surgery</subject><subject>Tomography</subject><subject>Topography</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNptUl1v1DAQtBCIloN_gCASL325w3H8-YJUVRQqVUJI8Gw59vouR5INdlLUf0-ul1Yt4mlX3tnZGWsIeVvSTVmp8uMep9S7djNgDxtaai6keUZOS1OxtWS0ev6oPyGvct5TKiot5UtywrTWshTqlHw_L3r4U7hhSOj8rhix-AXJjeixn3IRYAQ_NtgXtcsQirnxmHpwbdFhGna4BexgTI0v3CzmNjf5NXkRXZvhzVJX5Ofl5x8XX9fX375cXZxfr70wbFyLyI3h3scoKeO1FlFwrpkwXLuaBSG0YqVghrsQQ4i8NDU181hWvgYVXbUi74-8Q4vZLr-R7exZakr1XFfk6ogI6PZ2SE3n0q1F19i7B0xb69LY-Bas4coHF7lTQnJOmWYxAFPADa9qpeTM9Wm5NtUdBA_9mFz7hPTppG92dos3VghDjeIzwdlCkPD3BHm0XZM9tK3rAac73UpU1PAD9MM_0P-740eUT5hzgvggpqT2kJD7LXtIiF0SMq-9e2zkYek-EtVfxHe5_w</recordid><startdate>20170908</startdate><enddate>20170908</enddate><creator>Cavas-Martínez, Francisco</creator><creator>Bataille, Laurent</creator><creator>Fernández-Pacheco, Daniel G</creator><creator>Cañavate, Francisco J F</creator><creator>Alió, Jorge L</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>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/0000-0002-8391-0688</orcidid></search><sort><creationdate>20170908</creationdate><title>A new approach to keratoconus detection based on corneal morphogeometric analysis</title><author>Cavas-Martínez, Francisco ; Bataille, Laurent ; Fernández-Pacheco, Daniel G ; Cañavate, Francisco J F ; Alió, Jorge L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c592t-5f4994ccff6024b85f544825948ab2d5587215294adfddf419b0925963cbe7fa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Asymmetry</topic><topic>Biology and Life Sciences</topic><topic>Case-Control Studies</topic><topic>Cataracts</topic><topic>Comparative studies</topic><topic>Cornea</topic><topic>Cornea - pathology</topic><topic>Corneal Topography</topic><topic>Diagnostic systems</topic><topic>Eye (anatomy)</topic><topic>Female</topic><topic>Humans</topic><topic>Keratoconus</topic><topic>Keratoconus - diagnosis</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Normal distribution</topic><topic>Patient Outcome Assessment</topic><topic>Physical Sciences</topic><topic>Quality</topic><topic>R&D</topic><topic>Regression analysis</topic><topic>Research & development</topic><topic>Research and Analysis Methods</topic><topic>Severity of Illness Index</topic><topic>Spain</topic><topic>Surgery</topic><topic>Tomography</topic><topic>Topography</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cavas-Martínez, Francisco</creatorcontrib><creatorcontrib>Bataille, Laurent</creatorcontrib><creatorcontrib>Fernández-Pacheco, Daniel G</creatorcontrib><creatorcontrib>Cañavate, Francisco J F</creatorcontrib><creatorcontrib>Alió, Jorge L</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>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</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>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cavas-Martínez, Francisco</au><au>Bataille, Laurent</au><au>Fernández-Pacheco, Daniel G</au><au>Cañavate, Francisco J F</au><au>Alió, Jorge L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A new approach to keratoconus detection based on corneal morphogeometric analysis</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-09-08</date><risdate>2017</risdate><volume>12</volume><issue>9</issue><spage>e0184569</spage><epage>e0184569</epage><pages>e0184569-e0184569</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>To characterize corneal structural changes in keratoconus using a new morphogeometric approach and to evaluate its potential diagnostic ability.
Comparative study including 464 eyes of 464 patients (age, 16 and 72 years) divided into two groups: control group (143 healthy eyes) and keratoconus group (321 keratoconus eyes). Topographic information (Sirius, CSO, Italy) was processed with SolidWorks v2012 and a solid model representing the geometry of each cornea was generated. The following parameters were defined: anterior (Aant) and posterior (Apost) corneal surface areas, area of the cornea within the sagittal plane passing through the Z axis and the apex (Aapexant, Aapexpost) and minimum thickness points (Amctant, Amctpost) of the anterior and posterior corneal surfaces, and average distance from the Z axis to the apex (Dapexant, Dapexpost) and minimum thickness points (Dmctant, Dmctpost) of both corneal surfaces.
Significant differences among control and keratoconus group were found in Aapexant, Aapexpost, Amctant, Amctpost, Dapexant, Dapexpost (all p<0.001), Apost (p = 0.014), and Dmctpost (p = 0.035). Significant correlations in keratoconus group were found between Aant and Apost (r = 0.836), Amctant and Amctpost (r = 0.983), and Dmctant and Dmctpost (r = 0.954, all p<0.001). A logistic regression analysis revealed that the detection of keratoconus grade I (Amsler Krumeich) was related to Apost, Atot, Aapexant, Amctant, Amctpost, Dapexpost, Dmctant and Dmctpost (Hosmer-Lemeshow: p>0.05, R2 Nagelkerke: 0.926). The overall percentage of cases correctly classified by the model was 97.30%.
Our morphogeometric approach based on the analysis of the cornea as a solid is useful for the characterization and detection of keratoconus.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28886157</pmid><doi>10.1371/journal.pone.0184569</doi><orcidid>https://orcid.org/0000-0002-8391-0688</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Asymmetry Biology and Life Sciences Case-Control Studies Cataracts Comparative studies Cornea Cornea - pathology Corneal Topography Diagnostic systems Eye (anatomy) Female Humans Keratoconus Keratoconus - diagnosis Male Medical imaging Medicine and Health Sciences Middle Aged Normal distribution Patient Outcome Assessment Physical Sciences Quality R&D Regression analysis Research & development Research and Analysis Methods Severity of Illness Index Spain Surgery Tomography Topography Young Adult |
title | A new approach to keratoconus detection based on corneal morphogeometric analysis |
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