扩张
Scheimpflug原理
接收机工作特性
计算机科学
逻辑回归
医学
眼科
角膜
人工智能
机器学习
外科
作者
Riccardo Vinciguerra,Renato Ambrósio,Ahmed Elsheikh,Farhad Hafezi,Dukjin Kang,Omid Kermani,Shizuka Koh,Nan‐Ji Lu,Prema Padmanabhan,Cynthia J. Roberts,Suphi Taneri,William Trattler,Ashkan Eliasy,Ikhyun Jum,Bernardo Lopes,Vasanthi Padmanaban,Pietro Rosetta,Anika Rost,Emílio A. Torres-Netto,Paolo Vinciguerra
出处
期刊:Journal of Cataract and Refractive Surgery
[Ovid Technologies (Wolters Kluwer)]
日期:2021-10-01
卷期号:47 (10): 1314-1318
被引量:22
标识
DOI:10.1097/j.jcrs.0000000000000629
摘要
To validate and evaluate the use of a new biomechanical index known as the Corvis biomechanical index-laser vision correction (CBI-LVC) as a method for separating stable post-LVC eyes from post-LVC eyes with ectasia.10 clinics from 9 countries.Retrospective, multicenter, clinical study.The study was designed with 2 purposes: to develop the CBI-LVC, which combines dynamic corneal response (DCR) parameters provided by a high-speed dynamic Scheimpflug camera (CorVis ST; OCULUS Optikgeräte GmbH) and then to evaluate its ability to detect post-LVC ectasia. The CBI-LVC includes integrated inverse radius, applanation 1 (A1) velocity, A1 deflection amplitude, highest concavity and arclength, deformation amplitude ratio of 2 mm, and A1 arclength in millimeters. Logistic regression with Wald forward stepwise approach was used to identify the optimal combination of DCRs to create the CBI-LVC and then separate stable from LVC-induced ectasia. Eighty percentage of the database was used for training the software and 20% for validation.736 eyes of 736 patients were included (685 stable LVC and 51 post-LVC ectasia). The receiver operating characteristic curve analysis showed an area under the curve of 0.991 when applying CBI-LVC in the validation dataset and 0.998 in the training dataset. A cutoff of 0.2 was able to separate stable LVC from ectasia with a sensitivity of 93.3% and a specificity of 97.8%.The CBI-LVC was highly sensitive and specific in distinguishing stable from ectatic post-LVC eyes. Using CBI-LVC in routine practice, along with topography and tomography, can aid the early diagnosis of post-LVC ectasia and allow intervention prior to visually compromising progression.
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