Integration of Scheimpflug-Based corneal tomography and biomechanical assessments for enhancing ectasia detection
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , |
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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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 |
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openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Slack Inc. |
publisher.none.fl_str_mv |
Slack Inc. |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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