Study and characterization of morphogeometric parameters to assist diagnosis of keratoconus
Background: In case of signifcant imperfections on the cornea, data acquisition is difcult and a signifcant level of missing data could require the interpolation of important areas of the cornea, resulting in a very ambiguous model. The development of methods to defne in vivo customised geometric pr...
| Autores: | , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universidad Politécnica de Cartagena(UPCT) |
| Repositorio: | Repositorio Digital UPCT |
| OAI Identifier: | oai:repositorio.upct.es:10317/7761 |
| Acceso en línea: | http://hdl.handle.net/10317/7761 |
| Access Level: | acceso abierto |
| Palabra clave: | Keratoconus Scheimpflug CAD Surface reconstruction Virtual model Expresión Gráfica en Ingeniería 6203.04 Dibujo, Grabado |
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Study and characterization of morphogeometric parameters to assist diagnosis of keratoconusCavas Martínez, FranciscoGarcía Fernández Pacheco, DanielParras Burgos, DoloresFernández Cañavate, Francisco JoséBataille, Laurent Guy FrançoiseAlió Sanz, Jorge LucianoKeratoconusScheimpflugCADSurface reconstructionVirtual modelExpresión Gráfica en Ingeniería6203.04 Dibujo, GrabadoBackground: In case of signifcant imperfections on the cornea, data acquisition is difcult and a signifcant level of missing data could require the interpolation of important areas of the cornea, resulting in a very ambiguous model. The development of methods to defne in vivo customised geometric properties of the cornea based only on real raw data is extremely useful to diagnose and assess the progression of diseases directly related to the corneal architecture. The present work tries to improve the prognostic of corneal ectasia creating a 3D customised model of the cornea and analysing diferent geometric variables from this model to determine which variables or combination of them could be defned as an indicator of susceptibility to develop keratoconus. Methods: A corneal geometric reconstruction was performed using zonal functions and retrospective Scheimpfug tomography data from 187 eyes of 187 patients. Mor‑ phology of healthy and keratoconic corneas was characterized by means of geometric variables. The performance of these variables as predictors of a new geometric marker was assessed and their correlations were analysed. Results: The more representative variable to classify the corneal anomalies related to keratoconus was posterior apex deviation (area under receiver operating characteris‑ tic curve>0.899; p<0.0001). However, the strongest correlations in both healthy and pathological corneas were provided by the metrics directly related to the thickness, as deviations of the anterior/posterior minimum thickness points. Conclusions: The presented morphogeometric approach based on the analysis and custom geometric modelling of the cornea demonstrates to be useful for the charac‑ terization and diagnosis of keratoconus disease, stating that geometrical deformation is an efective marker of the ectatic disease’s progression.This publication has been carried out in the framework of the Thematic Network for Co-Operative Research in Health (RETICS) reference number RD16/0008/0012, financed by the Carlos III Health Institute—General Subdirection of Networks and Cooperative Investigation Centers (R&D&I National Plan 2008-2011) and the European Regional Development Fund (FEDER).BMC Part of Springer NatureInstituto de Salud Carlos IIIFondo Europeo de Desarrollo Regional201920192018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10317/7761reponame:Repositorio Digital UPCTinstname:Universidad Politécnica de Cartagena(UPCT)Españolhttps://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-018-0564-7Atribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:repositorio.upct.es:10317/77612026-05-15T06:39:02Z |
| dc.title.none.fl_str_mv |
Study and characterization of morphogeometric parameters to assist diagnosis of keratoconus |
| title |
Study and characterization of morphogeometric parameters to assist diagnosis of keratoconus |
| spellingShingle |
Study and characterization of morphogeometric parameters to assist diagnosis of keratoconus Cavas Martínez, Francisco Keratoconus Scheimpflug CAD Surface reconstruction Virtual model Expresión Gráfica en Ingeniería 6203.04 Dibujo, Grabado |
| title_short |
Study and characterization of morphogeometric parameters to assist diagnosis of keratoconus |
| title_full |
Study and characterization of morphogeometric parameters to assist diagnosis of keratoconus |
| title_fullStr |
Study and characterization of morphogeometric parameters to assist diagnosis of keratoconus |
| title_full_unstemmed |
Study and characterization of morphogeometric parameters to assist diagnosis of keratoconus |
| title_sort |
Study and characterization of morphogeometric parameters to assist diagnosis of keratoconus |
| dc.creator.none.fl_str_mv |
Cavas Martínez, Francisco García Fernández Pacheco, Daniel Parras Burgos, Dolores Fernández Cañavate, Francisco José Bataille, Laurent Guy Françoise Alió Sanz, Jorge Luciano |
| author |
Cavas Martínez, Francisco |
| author_facet |
Cavas Martínez, Francisco García Fernández Pacheco, Daniel Parras Burgos, Dolores Fernández Cañavate, Francisco José Bataille, Laurent Guy Françoise Alió Sanz, Jorge Luciano |
| author_role |
author |
| author2 |
García Fernández Pacheco, Daniel Parras Burgos, Dolores Fernández Cañavate, Francisco José Bataille, Laurent Guy Françoise Alió Sanz, Jorge Luciano |
| author2_role |
author author author author author |
| dc.contributor.none.fl_str_mv |
Instituto de Salud Carlos III Fondo Europeo de Desarrollo Regional |
| dc.subject.none.fl_str_mv |
Keratoconus Scheimpflug CAD Surface reconstruction Virtual model Expresión Gráfica en Ingeniería 6203.04 Dibujo, Grabado |
| topic |
Keratoconus Scheimpflug CAD Surface reconstruction Virtual model Expresión Gráfica en Ingeniería 6203.04 Dibujo, Grabado |
| description |
Background: In case of signifcant imperfections on the cornea, data acquisition is difcult and a signifcant level of missing data could require the interpolation of important areas of the cornea, resulting in a very ambiguous model. The development of methods to defne in vivo customised geometric properties of the cornea based only on real raw data is extremely useful to diagnose and assess the progression of diseases directly related to the corneal architecture. The present work tries to improve the prognostic of corneal ectasia creating a 3D customised model of the cornea and analysing diferent geometric variables from this model to determine which variables or combination of them could be defned as an indicator of susceptibility to develop keratoconus. Methods: A corneal geometric reconstruction was performed using zonal functions and retrospective Scheimpfug tomography data from 187 eyes of 187 patients. Mor‑ phology of healthy and keratoconic corneas was characterized by means of geometric variables. The performance of these variables as predictors of a new geometric marker was assessed and their correlations were analysed. Results: The more representative variable to classify the corneal anomalies related to keratoconus was posterior apex deviation (area under receiver operating characteris‑ tic curve>0.899; p<0.0001). However, the strongest correlations in both healthy and pathological corneas were provided by the metrics directly related to the thickness, as deviations of the anterior/posterior minimum thickness points. Conclusions: The presented morphogeometric approach based on the analysis and custom geometric modelling of the cornea demonstrates to be useful for the charac‑ terization and diagnosis of keratoconus disease, stating that geometrical deformation is an efective marker of the ectatic disease’s progression. |
| publishDate |
2018 |
| dc.date.none.fl_str_mv |
2018 2019 2019 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10317/7761 |
| url |
http://hdl.handle.net/10317/7761 |
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Español |
| language_invalid_str_mv |
Español |
| dc.relation.none.fl_str_mv |
https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-018-0564-7 |
| dc.rights.none.fl_str_mv |
Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess |
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Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
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openAccess |
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application/pdf application/pdf |
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BMC Part of Springer Nature |
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BMC Part of Springer Nature |
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reponame:Repositorio Digital UPCT instname:Universidad Politécnica de Cartagena(UPCT) |
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Universidad Politécnica de Cartagena(UPCT) |
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Repositorio Digital UPCT |
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Repositorio Digital UPCT |
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