Predictive model for early diagnosis of keratoconus

Castro-Luna, Gracia; Pérez-Rueda, Antonio

doi:10.21203/rs.2.21162/v1

Cited by 3 publications

(5 citation statements)

References 21 publications

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“…Reddy et al [30] also observed statistically significant differences for the cylinder (p < 0.001) not for the sphere (p= 0.08)., a study by Castro-Luna et al [31] found statistically significant differences for the sphere, the cylinder and the spherical equivalent (p< 0.05) as also found in a study by Xu et al [37] Saad and Gatinel [38] obtained that the mean of the sphere was significantly higher in their normal group than in their early subclinical KC group (p< 0.001).…”

Section: Pentacam Hr Tomographer (Oculus Optikgeräte Gmbh Germany)supporting

confidence: 61%

“…Castro-Luna et al [31] included 205 patients; 82 normal,40 early subclinical KC and 83 KC. A total of 234 patients with KC were included in the study by Alqudah et al [20] This study was designed as a retrospective cohort clinical study on KC patients.…”

Section: Pentacam Hr Tomographer (Oculus Optikgeräte Gmbh Germany)mentioning

confidence: 99%

“…A total of 234 patients with KC were included in the study by Alqudah et al [20] This study was designed as a retrospective cohort clinical study on KC patients. Many studies used the same design as Elbedewy et al [23] , Rafati et al [26], Castro-Luna et al [31] ,…”

Section: Pentacam Hr Tomographer (Oculus Optikgeräte Gmbh Germany)mentioning

confidence: 99%

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Refractive ,Topographic and Tomographic analysis of Keratoconus in Egypt

AbdElkader

Tabl

Hamed

2021

Benha Medical Journal

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Objectives: The aim of this study was to evaluate the demographic profile, refractive ,topographic and tomograghic characters of keratoconus patients in Egypt. Patients and Methods: This study was designed as a retrospective cohort clinical study. The study met the ethical criteria of the Institutional Review Board (IRB) in Faculty of Medicine Benha University with approval No. of (MS 32-12-2019). Our study included 102 eyes of 51 patient in the keratoconus group and 100 eyes of 50 patients in the control group. The study was designed as a retrospective cohort clinical study on keratoconus patients who attended at Al Ferdaws eye hospital in the period from January 2016 to December 2020. Study groups: Group 1: normal eyes as a control group. Group 2: keratoconus group (KC). Data Synthesis: The results analyzed using SPSS25, T-test, Mann-Whitney U test and Chi-square test. Findings: There was clinically significant difference between normal and KC cases regarding the cylinder, BCVA, keratometric power of anterior and posterior surface on both flat and steep meridian.also K max and km.,Q value at 6 mm., thinnest location, relative thickness map average,thickness profile map average (PPI),highest elevation front and back,corneal irregularity indices, corneal aberrometric values, BAD_ D and ARTmax. Conclusion: We found no significant associationbetween the severity of KC with age and sex. many parameters in topography and tomography were efficient in differentiating normal cases from keratoconus cases even in early disease.

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Section: Pentacam Hr Tomographer (Oculus Optikgeräte Gmbh Germany)supporting

confidence: 61%

Section: Pentacam Hr Tomographer (Oculus Optikgeräte Gmbh Germany)mentioning

confidence: 99%

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Refractive ,Topographic and Tomographic analysis of Keratoconus in Egypt

AbdElkader

Tabl

Hamed

2021

Benha Medical Journal

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“…The patient exam was the same as in our previous, recently published article that analyzed a predictive model for diagnosis of SCK 23 .…”

Section: Methodsmentioning

confidence: 99%

A model of visual limitation in patients with keratoconus

Pérez-Rueda

Castro-Luna

2020

Sci Rep

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This paper aims to calculate a relevance model of visual limitation (V.L.) in keratoconus patients based on refractive and topographic parameters. A cross-sectional study was carried out in Torrecárdenas Hospital, Almería, Spain, between February 2018 and July 2019. It included 250 keratoconus patients. Two groups were created according to a grading system of V.L. based on RETICS (Red Temática de Investigación Cooperativa en Salud) classification: keratoconus patients with no V.L. (best spectacle-corrected visual acuity (BSCVA) ≤ 0.05 logMAR) and keratoconus patients with V.L. (BSCVA > 0.05 logMAR). Correlations and a binary logistic regression were established. V.L. was correlated with maximum curvature (r = 0.649, p < 0.001) and root mean square higher-order aberrations (HOARMS) (r = 0.625, p < 0.001). Binary logistic regression included V.L. as the dependent variable and spherical equivalent, HOARMS, spherical aberration and interaction between the anterior and posterior vertical coma as independent variables. The model was a good fit. Area under the curve (A.U.C.) of receiver operating characteristic (R.O.C.) curve was 0.924, sensitivity 91.90%, specificity 83.60%, accuracy 88.94%; and precision 91.17%. Binary logistic regression model of V.L. is a good fit model to predict the early loss of visual acuity in keratoconus patients.

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“…KC is best known for the progressive thinning in the cornea, causing reduced vision, irregular astigmatism, as well as corneal protrusion [1][2][3][4]. Although it is hard to be detected in preclinical or early stages, KC clinical screening is easy bec-ause of its findings associated with corneal topography and biomicroscopy, retinoscopy and pachymetry [5][6][7][8]. Detecting KC early relates to the care provided clinically to the cases that must not be transferred to the treatment by refractive laser but have to be screened more regarding the ectatic disorders to identify progressive ectasia.…”

Section: Introductionmentioning

confidence: 99%

Comparative Evaluation of Scheimpflug Tomography Parameters Between Thin Non-Keratoconic, Subclinical and Mild Keratoconic Corneas

Samaan

M.²,

Mostafa³

et al. 2022

Egyptian Journal of Clinical Ophthalmology

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The purpose: This paper aimed to analyze the keratometric, topometric and pachymetric features of keratoconic suspect and clinical keratoconic eyes from normal thin ones using a Scheimpflug imaging camera. Patient and methods: The study was retrospective and cross-sectional and examined the eyes of candidates seeking refractive surgery at Sohag ophthalmologic Centre. The study included 26 normal subjects with 31 eyes with thin corneas (<480 µm), 14 subjects with 18 eyes diagnosed as keratoconus suspects, and 18 patients with 39 eyes keratoconus (stage 1 and 2). The approval of the ethical committee of Sohag University Hospital was acquired. Results: showed that a possible indicator to distinguish between thin corneas and keratoconus grade 1 & 2 was provided by information on the corneal height, particularly in the case of applying the enhanced ectasia presentation. Parameters from BAD display (e.g., anterior, posterior elevation differences and final D), topographic parameters (such as Q value, KI, K2, Kmean, Kmax and cylinder), topometric parameters (such as KI, IHD, IVA, IHA, CKI, and ISV values), and pachymetric parameters (such as average PPI and ARTmax) helped discriminate the keratoconus cases with the highest prediction accuracy. Conclusions: This study shows that these eyes may be discriminated efficiently using different tomographic (BAD, pachymetry, and elevation) parameters and topometric indices from Pentacam Scheimpflug tomography. It addresses non-keratoconic thin corneas and keratoconus subclinical or mildly evolved. CT at apex, thinnest CT, IVA, IHD and PE differences tended to be the most appropriate for distinguishing subclinical keratoconic eyes and normal thin corneas.

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Predictive model for early diagnosis of keratoconus

Cited by 3 publications

References 21 publications

Refractive ,Topographic and Tomographic analysis of Keratoconus in Egypt

Refractive ,Topographic and Tomographic analysis of Keratoconus in Egypt

A model of visual limitation in patients with keratoconus

Comparative Evaluation of Scheimpflug Tomography Parameters Between Thin Non-Keratoconic, Subclinical and Mild Keratoconic Corneas

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