Integration of Scheimpflug-Based corneal tomography and biomechanical assessments for enhancing ectasia detection

Detalhes bibliográficos
Autor(a) principal: Ambrósio Jr., Renato
Data de Publicação: 2017
Outros Autores: Lopes, Bernardo T., Correia, Fernando António Faria, Salomão, Marcella Q., Bühren, Jens, Roberts, Cynthia J., Elsheikh, Ahmed, Vinciguerra, Riccardo, Vinciguerra, Paolo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/48466
Resumo: PURPOSE: To present the Tomographic and Biomechanical Index (TBI), which combines Scheimpflugbased corneal tomography and biomechanics for enhancing ectasia detection. METHODS: Patients from different continents were retrospectively studied. The normal group included 1 eye randomly selected from 480 patients with normal corneas and the keratoconus group included 1 eye randomly selected from 204 patients with keratoconus. There were two groups: 72 ectatic eyes with no surgery from 94 patients with very asymmetric ectasia (VAE-E group) and the fellow eyes of these patients with normal topography (VAE-NT group). Pentacam HR and Corvis ST (Oculus Optikgerate GmbH, Wetzlar, Germany) parameters were analyzed and combined using different artificial intelligence methods. The accuracies for detecting ectasia of the Belin/Ambresio Deviation (BAD-D) and Corvis Biomechanical Index (CBI) were compared to the TBI, considering the areas under receiver operating characteristic curves (AUROCs). RESULTS: The random forest method with leave-oneout cross-validation (RF/LOOCV) provided the best artificial intelligence model. The AUROC for detecting ectasia (keratoconus, VAE-E, and VAE-NT groups) of the TBI was 0.996, which was statistically higher (DeLong et al., P < .001) than the BAD-D (0.956) and CBI (0.936). The TBI cut-off value of 0.79 provided 100% sensitivity for detecting clinical ectasia (keratoconus and VAE-E groups) with 100% specificity. The AUROCs for the TBI, BAD-D, and CBI were 0.985, 0.839, and 0.822 in the VAE-NT group (DeLong et al., P <.001). An optimized TBI cut-off value of 0.29 provided 90.4% sensitivity with 96% specificity in the VAE-NT group. CONCLUSIONS: The TBI generated by the RF/LOOCV provided greater accuracy for detecting ectasia than other techniques. The TBI was sensitive for detecting subclinical (fruste) ectasia among eyes with normal topography in very asymmetric patients. The TBI may also confirm unilateral ectasia, potentially characterizing the inherent ectasia susceptibility of the cornea, which should be the subject of future studies.
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spelling Integration of Scheimpflug-Based corneal tomography and biomechanical assessments for enhancing ectasia detectionScience & TechnologyPURPOSE: To present the Tomographic and Biomechanical Index (TBI), which combines Scheimpflugbased corneal tomography and biomechanics for enhancing ectasia detection. METHODS: Patients from different continents were retrospectively studied. The normal group included 1 eye randomly selected from 480 patients with normal corneas and the keratoconus group included 1 eye randomly selected from 204 patients with keratoconus. There were two groups: 72 ectatic eyes with no surgery from 94 patients with very asymmetric ectasia (VAE-E group) and the fellow eyes of these patients with normal topography (VAE-NT group). Pentacam HR and Corvis ST (Oculus Optikgerate GmbH, Wetzlar, Germany) parameters were analyzed and combined using different artificial intelligence methods. The accuracies for detecting ectasia of the Belin/Ambresio Deviation (BAD-D) and Corvis Biomechanical Index (CBI) were compared to the TBI, considering the areas under receiver operating characteristic curves (AUROCs). RESULTS: The random forest method with leave-oneout cross-validation (RF/LOOCV) provided the best artificial intelligence model. The AUROC for detecting ectasia (keratoconus, VAE-E, and VAE-NT groups) of the TBI was 0.996, which was statistically higher (DeLong et al., P < .001) than the BAD-D (0.956) and CBI (0.936). The TBI cut-off value of 0.79 provided 100% sensitivity for detecting clinical ectasia (keratoconus and VAE-E groups) with 100% specificity. The AUROCs for the TBI, BAD-D, and CBI were 0.985, 0.839, and 0.822 in the VAE-NT group (DeLong et al., P <.001). An optimized TBI cut-off value of 0.29 provided 90.4% sensitivity with 96% specificity in the VAE-NT group. CONCLUSIONS: The TBI generated by the RF/LOOCV provided greater accuracy for detecting ectasia than other techniques. The TBI was sensitive for detecting subclinical (fruste) ectasia among eyes with normal topography in very asymmetric patients. The TBI may also confirm unilateral ectasia, potentially characterizing the inherent ectasia susceptibility of the cornea, which should be the subject of future studies.Dr. Ambrosio, Dr. P. Vinciguerra, and Dr. Roberts are consultants for, Dr. Buhren has received lecture fees from, and Dr. Elsheikh has received research funding from Oculus Optikgerate GmbH (Wetzlar, Germany). The remaining authors have no financial or proprietary interest in the materials presented herein.info:eu-repo/semantics/publishedVersionSlack Inc.Universidade do MinhoAmbrósio Jr., RenatoLopes, Bernardo T.Correia, Fernando António FariaSalomão, Marcella Q.Bühren, JensRoberts, Cynthia J.Elsheikh, AhmedVinciguerra, RiccardoVinciguerra, Paolo20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/48466eng1081-597X1938-239110.3928/1081597X-20170426-0228681902https://www.healio.com/ophthalmology/journals/jrs/2017-7-33-7/%7B634e00a9-9c1a-4271-8ce5-df466977c8c3%7D/integration-of-scheimpflug-based-corneal-tomography-and-biomechanical-assessments-for-enhancing-ectasia-detectioninfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T11:57:53Zoai:repositorium.sdum.uminho.pt:1822/48466Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:47:34.793625Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Integration of Scheimpflug-Based corneal tomography and biomechanical assessments for enhancing ectasia detection
title Integration of Scheimpflug-Based corneal tomography and biomechanical assessments for enhancing ectasia detection
spellingShingle Integration of Scheimpflug-Based corneal tomography and biomechanical assessments for enhancing ectasia detection
Ambrósio Jr., Renato
Science & Technology
title_short Integration of Scheimpflug-Based corneal tomography and biomechanical assessments for enhancing ectasia detection
title_full Integration of Scheimpflug-Based corneal tomography and biomechanical assessments for enhancing ectasia detection
title_fullStr Integration of Scheimpflug-Based corneal tomography and biomechanical assessments for enhancing ectasia detection
title_full_unstemmed Integration of Scheimpflug-Based corneal tomography and biomechanical assessments for enhancing ectasia detection
title_sort Integration of Scheimpflug-Based corneal tomography and biomechanical assessments for enhancing ectasia detection
author Ambrósio Jr., Renato
author_facet Ambrósio Jr., Renato
Lopes, Bernardo T.
Correia, Fernando António Faria
Salomão, Marcella Q.
Bühren, Jens
Roberts, Cynthia J.
Elsheikh, Ahmed
Vinciguerra, Riccardo
Vinciguerra, Paolo
author_role author
author2 Lopes, Bernardo T.
Correia, Fernando António Faria
Salomão, Marcella Q.
Bühren, Jens
Roberts, Cynthia J.
Elsheikh, Ahmed
Vinciguerra, Riccardo
Vinciguerra, Paolo
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Ambrósio Jr., Renato
Lopes, Bernardo T.
Correia, Fernando António Faria
Salomão, Marcella Q.
Bühren, Jens
Roberts, Cynthia J.
Elsheikh, Ahmed
Vinciguerra, Riccardo
Vinciguerra, Paolo
dc.subject.por.fl_str_mv Science & Technology
topic Science & Technology
description PURPOSE: To present the Tomographic and Biomechanical Index (TBI), which combines Scheimpflugbased corneal tomography and biomechanics for enhancing ectasia detection. METHODS: Patients from different continents were retrospectively studied. The normal group included 1 eye randomly selected from 480 patients with normal corneas and the keratoconus group included 1 eye randomly selected from 204 patients with keratoconus. There were two groups: 72 ectatic eyes with no surgery from 94 patients with very asymmetric ectasia (VAE-E group) and the fellow eyes of these patients with normal topography (VAE-NT group). Pentacam HR and Corvis ST (Oculus Optikgerate GmbH, Wetzlar, Germany) parameters were analyzed and combined using different artificial intelligence methods. The accuracies for detecting ectasia of the Belin/Ambresio Deviation (BAD-D) and Corvis Biomechanical Index (CBI) were compared to the TBI, considering the areas under receiver operating characteristic curves (AUROCs). RESULTS: The random forest method with leave-oneout cross-validation (RF/LOOCV) provided the best artificial intelligence model. The AUROC for detecting ectasia (keratoconus, VAE-E, and VAE-NT groups) of the TBI was 0.996, which was statistically higher (DeLong et al., P < .001) than the BAD-D (0.956) and CBI (0.936). The TBI cut-off value of 0.79 provided 100% sensitivity for detecting clinical ectasia (keratoconus and VAE-E groups) with 100% specificity. The AUROCs for the TBI, BAD-D, and CBI were 0.985, 0.839, and 0.822 in the VAE-NT group (DeLong et al., P <.001). An optimized TBI cut-off value of 0.29 provided 90.4% sensitivity with 96% specificity in the VAE-NT group. CONCLUSIONS: The TBI generated by the RF/LOOCV provided greater accuracy for detecting ectasia than other techniques. The TBI was sensitive for detecting subclinical (fruste) ectasia among eyes with normal topography in very asymmetric patients. The TBI may also confirm unilateral ectasia, potentially characterizing the inherent ectasia susceptibility of the cornea, which should be the subject of future studies.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/48466
url http://hdl.handle.net/1822/48466
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1081-597X
1938-2391
10.3928/1081597X-20170426-02
28681902
https://www.healio.com/ophthalmology/journals/jrs/2017-7-33-7/%7B634e00a9-9c1a-4271-8ce5-df466977c8c3%7D/integration-of-scheimpflug-based-corneal-tomography-and-biomechanical-assessments-for-enhancing-ectasia-detection
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Slack Inc.
publisher.none.fl_str_mv Slack Inc.
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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