高级检索
当前位置: 首页 > 详情页

Optimized artificial intelligence for enhanced ectasia detection using Scheimpflug-based corneal tomography and biomechanical data

文献详情

资源类型:
Pubmed体系:
机构: [1]Department of Ophthalmology, the Federal University of the State of Rio de Janeiro Rio de Janeiro, Brazil. [2]Rio de Janeiro Corneal Tomography and Biomechanics Study Group Rio de Janeiro, Brazil. [3]Department of Ophthalmology, Federal University of São Paulo São Paulo, Brazil [4]Brazilian Artificial Intelligence Networking in Medicine (BrAIN) Maceio and Rio de Janeiro, Brazil [5]World College of Refractive Surgery & Visual Sciences Scottsdale, Arizona, USA. [6]Computing Institute, Federal University of Alagoas Maceio, AL, Brazil. [7]Universidade Estadual de Ciências da Saúde de Alagoas (UNCISAL) Maceio, AL, Brazil. [8]Department of Ophthalmology & Visual Sciences, Department of Biomedical Engineering, The Ohio State University Columbus, OH, USA. [9]The School of Engineering, University of Liverpool Liverpool, United Kingdom [10]Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University Beijing, China. [11]NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, UK. [12]Humanitas San Pio X Hospital, Milan, Italy. [13]Humanitas University, Department of Biomedical Sciences, Milan, Italy. [14]Humanitas Clinical and Research Center – IRCCS Rozzano (Mi), Italy. [15]Praxis für Augenheilkunde Prof. Bühren, Frankfurt am Main, Germany [16]Department of Ophthalmology, Goethe Unversity Frankfurt, Frankfurt am Main, Germany [17]SurgiVision® Consultants, Inc. Scottsdale, Arizona, USA [18]ELZA Institute Dietikon, Zurich, Switzerland. [19]Light for Sight Foundation Zurich, Switzerland [20]Center for Applied Biotechnology and Molecular Medicine, University of Zurich, Zurich, Switzerland [21]USC Roski Eye Institute, Miller School of Medicine Los Angeles, CA, EUA. [22]School of Ophthalmology and Optometry, Wenzhou Medical University Wenzhou, China. [23]Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium [24]Department of Ophthalmology, Antwerp University Hospital, Edegem, Belgium [25]Emmetropia Mediterranean Eye Institute Heraklion, Greece. [26]Eyereum Eye Clinic Seoul, South Korea. [27]Augenklinik am Neumarkt Cologne, Germany. [28]Department of Ophthalmology, Osaka University Graduate School of Medicine Osaka, Japan. [29]Department of Cornea and Refractive Surgery, Medical Research Foundation, Sankara Nethralaya Chennai, Tamil Nadu, India. [30]Center for Refractive Surgery Muenster Muenster, Germany. [31]University Eye-Clinic, Ruhr-University Bochum, Germany. [32]Center for Excellence in Eye Care, Miami, FL, USA. [33]Diagnostica Oftalmologica e Microchirurgia Oculare (DOMA), Rome, Italy. [34]Clinica J. Salgado-Borges Porto, Portugal [35]Department of Ophthalmology, Hospital de Braga Braga, Portugal. [36]Life and Health Sciences Research Institute (ICVS), Escola de Medicina, Universidade do Minho Braga, Portugal. [37]Department of Ophthalmology, Saarland University Medical Center Homburg, Germany. [38]Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong. [39]Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA [40]Department of Ophthalmology & Visual Sciences, The Chinese University of Hong Kong Hong Kong SAR, China. [41]Ophthalmology Department, Centro Hospitalar Universitário do Porto Porto, Portugal. [42]Reinstein Vision, London Vision Clinic London United Kingdom. [43]Columbia University Medical Center New York, New York. [44]Sorbonne Université Paris, France. [45]Biomedical Science Research Institute, Ulster University Coleraine, United Kingdom. [46]Storm Eye Institute, Medical University of South Carolina Charleston, South Carolina, USA. [47]Waring Vision Institute Mount Pleasant, South Carolina, USA. [48]Stanley M Truhlsen Eye Institute, Department of Ophthalmology and Visual Sciences, University of Nebraska Medical Center, Omaha, , Nebraska, USA. [49]Cole Eye Institute, Cleveland Clinic, Cleveland, Ohio, USA. [50]Department of Biomedical Engineering, Lerner Research Institute, Cleveland, Ohio, USA. [51]Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA. [52]The David J. Apple International Laboratory for Ocular Pathology, Department of Ophthalmology, University of Heidelberg Heidelberg, Germany. [53]Noor Ophthalmology Research Center, Noor Eye Hospital Tehran, Iran. [54]Health Promotion Research Center, Zahedan University of Medical Sciences, Zahedan, Iran. [55]Eye Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. [56]Department of Cornea and Refractive Surgery Narayana Nethralaya, Bangalore, India. [57]Department of Ophthalmology & Vision Science, University of Arizona Tucson, Arizona, USA
出处:
ISSN:

摘要:
To optimize artificial intelligence (AI) algorithms to integrate Scheimpflug-based corneal tomography and biomechanics to enhance ectasia detection.Multicenter cross-sectional case-control retrospective study.3,886 unoperated eyes from 3,412 patients had Pentacam and Corvis ST (Oculus Optikgeräte GmbH; Wetzlar, Germany) examinations. The database included one eye randomly selected from 1,680 normal patients (N), and from 1,181 "bilateral" keratoconus (KC) patients, along with 551 normal topography eyes from very asymmetric ectasia patients (VAE-NT), and their 474 unoperated ectatic (VAE-E) eyes. The current TBIv1 (tomographic-biomechanical index) was tested, and an optimized AI algorithm was developed for augmenting accuracy.The area under the receiver operating characteristic curve (AUC) of the TBIv1 for discriminating clinical ectasia (KC and VAE-E) was 0.999 (98.5% sensitivity; 98.6% specificity [cutoff 0.5]), and for VAE-NT, 0.899 (76% sensitivity; 89.1% specificity [cutoff 0.29]). A novel random forest algorithm (TBIv2), developed with 18 features in 156 trees using 10-fold cross-validation, had significantly higher AUC (0.945; DeLong, p<0.0001) for detecting VAE-NT (84.4% sensitivity and 90.1% specificity; cutoff 0.43; DeLong, p<0.0001), and similar AUC for clinical ectasia (0.999; DeLong, p=0.818; 98.7% sensitivity; 99.2% specificity [cutoff 0.8]). Considering all cases, the TBIv2 had higher AUC (0.985) than TBIv1 (0.974; DeLong, p<0.0001).AI optimization to integrate Scheimpflug-based corneal tomography and biomechanical assessments augments accuracy for ectasia detection, characterizing ectasia susceptibility in the diverse VAE-NT group. Some VAE patients may be true unilateral ectasia. Machine learning considering additional data, including epithelial thickness or other parameters from multimodal refractive imaging, will continuously enhance accuracy.Copyright © 2022. Published by Elsevier Inc.

语种:
PubmedID:
中科院(CAS)分区:
出版当年[2021]版:
大类 | 2 区 医学
小类 | 1 区 眼科学
最新[2025]版:
大类 | 1 区 医学
小类 | 1 区 眼科学
第一作者:
第一作者机构: [1]Department of Ophthalmology, the Federal University of the State of Rio de Janeiro Rio de Janeiro, Brazil. [2]Rio de Janeiro Corneal Tomography and Biomechanics Study Group Rio de Janeiro, Brazil. [3]Department of Ophthalmology, Federal University of São Paulo São Paulo, Brazil [4]Brazilian Artificial Intelligence Networking in Medicine (BrAIN) Maceio and Rio de Janeiro, Brazil [5]World College of Refractive Surgery & Visual Sciences Scottsdale, Arizona, USA. [*1]Rua Conde de Bonfim 211/712 – Rio de Janerio, RJ – 20.520-050, Brazil
通讯作者:
通讯机构: [1]Department of Ophthalmology, the Federal University of the State of Rio de Janeiro Rio de Janeiro, Brazil. [2]Rio de Janeiro Corneal Tomography and Biomechanics Study Group Rio de Janeiro, Brazil. [3]Department of Ophthalmology, Federal University of São Paulo São Paulo, Brazil [4]Brazilian Artificial Intelligence Networking in Medicine (BrAIN) Maceio and Rio de Janeiro, Brazil [5]World College of Refractive Surgery & Visual Sciences Scottsdale, Arizona, USA. [*1]Rua Conde de Bonfim 211/712 – Rio de Janerio, RJ – 20.520-050, Brazil
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:28518 今日访问量:0 总访问量:1589 更新日期:2025-09-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 首都医科大学附属北京同仁医院 技术支持:重庆聚合科技有限公司 地址:北京市东城区东交民巷1号(100730)