Instrumentation for Diagnosis of Keratoconus

Versaci, Francesco; Vestri, Gabriele

doi:10.1007/978-3-319-43881-8_6

Cited by 2 publications

(2 citation statements)

References 27 publications

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“…Therefore, the corneal topography revolutionized the diagnosis and management of the corneal differences and played an important role in the improvement of the results on corneal screening for the refractive surgery [ 13 ]; however, this method only provides a map on the anterior corneal surface curvature regardless of the posterior corneal surface [ 14 ]. According to recent studies, the early changes in the KCN occur in the posterior corneal surface as well; therefore, the anterior corneal curvature alone is not enough in the early diagnosis [ 15 ]. In the Pentacam imaging method, which is a kind of anterior segment tomography obtained using rotating camera Sheimpflug, and considering that it also analyses the posterior corneal curvature topography; therefore, this technology provides more information on the topography of the anterior corneal surface [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Sensitivity and Specificity of Belin Ambrosio Enhanced Ectasia Display in Early Diagnosis of Keratoconus

Bamdad

Sedaghat

Yasemi

et al. 2020

Journal of Ophthalmology

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Purpose. Early diagnosis of keratoconus disease (KCN) is the first priority in the preoperative evaluations of refractive surgery (RS).The aim of this study was to investigate the correlation between findings of Belin Ambrosio enhanced ectasia display (BAD) software and conventional corneal imaging (Orbscan and topography) in the early diagnosis of KCN. Methods. For conducting this cross-sectional study, a total of 1000 eyes were selected from 500 patients that underwent the myopic photorefractive keratectomy surgery and were compared in four study groups during the years 2017–2018. In group 1, all topography, Orbscan, and BAD criteria were normal (65.8%).In contrast, in Group 2, at least one of the topography or Orbscan criteria as well as at least one BAD criterion (12.6%) were abnormal. In Group 3, the eyes had normal Orbscan and topography criteria with at least one abnormal BAD criterion (18.5%). Also, in Group 4, the patients had at least one abnormal Orbscan or topography criterion, but all BAD criteria (3.1%) were normal. Thickness of the thinnest point (TP) of cornea was compared in Pentacam and topography. Data analysis was done by SPSS software (version 21). Results. BAD criteria were normal in 78.5% of all eyes with normal topography and Orbscan criteria (specificity). BAD criteria were also abnormal in 80.2% of eyes (sensitivity). There was also no significant difference between TP in Orbscan and Pentacam. Conclusions. BAD criteria had a relatively acceptable sensitivity and specificity, compared with conventional Orbscan and topography criteria. Thus, BAD criteria can be more effective in the early diagnosis of KCN.

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Section: Introductionmentioning

confidence: 99%

Sensitivity and Specificity of Belin Ambrosio Enhanced Ectasia Display in Early Diagnosis of Keratoconus

Bamdad

Sedaghat

Yasemi

et al. 2020

Journal of Ophthalmology

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“…The most widely used current clinical exams for diagnosing keratoconus and monitor its progression is videokeratoscopy ( also known as corneal topography) [8]. Corneal topography is an imaging method which measures the elevation and curvature of cornea building 3D elevation and sagittal curvature map.…”

Section: Introductionmentioning

confidence: 99%

<strong>Detecting Keratoconus Using Convolutional Neural Network on Smartphone</strong>

Rostami¹

2020

Preprint

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Nowadays smartphone utilization for disease diagnosis and remote health care applications has become promising due to their ubiquity. Here, a novel convolutional neural network method for detecting keratoconus that is wholly implemented on a smartphone is proposed. The proposed method provides accurate detection of over 72.9% for all stages of keratoconus. Preliminary results indicate 90%, 83%, 64% and 52% detection rate for severe, advanced, moderate and mild stages of disease, respectively.

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Instrumentation for Diagnosis of Keratoconus

Cited by 2 publications

References 27 publications

Sensitivity and Specificity of Belin Ambrosio Enhanced Ectasia Display in Early Diagnosis of Keratoconus

Sensitivity and Specificity of Belin Ambrosio Enhanced Ectasia Display in Early Diagnosis of Keratoconus

<strong>Detecting Keratoconus Using Convolutional Neural Network on Smartphone</strong>

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