Screening Subclinical Keratoconus With Placido-Based Corneal Indices

Ramos-López, Darío; Martínez–Finkelshtein, Andrei; Castro-Luna, Gracia; Burguera-Giménez, Neus; Vega-Estrada, Alfredo; Piñero, David P.; Alió, Jorge L.

doi:10.1097/opx.0b013e3182843f2a

Cited by 24 publications

(14 citation statements)

References 41 publications

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“…Present-day computerized Placido topography systems offer direct digital analysis of the image scene of the Placido mires projected onto the cornea and thus provide a valid and effective tool for detection of corneal irregularities. 1 In addition to axial and tangential curvature maps, 2 several other parameters (eg, corneal surface irregularity indices and Fourier and Zernike aberrations) 3 are available and might increase the sensitivity and specificity when evaluating refractive surgery patients. 4 Detailed topography data are customarily used in surgical planning, 5 especially in topography-guided treatments.…”

Section: Discussionmentioning

confidence: 99%

Digital pupillometry and centroid shift changes after cataract surgery

Kanellopoulos¹,

Asimellis²,

Georgiadou³

2015

Journal of Cataract and Refractive Surgery

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Section: Discussionmentioning

confidence: 99%

Digital pupillometry and centroid shift changes after cataract surgery

Kanellopoulos¹,

Asimellis²,

Georgiadou³

2015

Journal of Cataract and Refractive Surgery

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“…In this line, we have tried to define a new predictive model for the detection of incipient keratoconus but based on a previously developed morphogeometric modeling of the cornea [ 16 ]. There is already a great variety of indices and diagnostic systems defined for the detection of keratoconus [ 2 ], but most of them are based on the analysis of curvature changes or asymmetries of both posterior corneal surfaces [ 4 , 5 , 8 , 14 , 15 ]. Likewise, corneal elevation [ 6 , 7 ], corneal aberrometric [ 11 ], and pachymetric algorithms [ 10 ] have been also defined for the detection of keratoconus as well as the indirect measurement of some biomechanical parameters [ 9 , 12 ].…”

Section: Discussionmentioning

confidence: 99%

A new approach to keratoconus detection based on corneal morphogeometric analysis

et al. 2017

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PurposeTo characterize corneal structural changes in keratoconus using a new morphogeometric approach and to evaluate its potential diagnostic ability.MethodsComparative study including 464 eyes of 464 patients (age, 16 and 72 years) divided into two groups: control group (143 healthy eyes) and keratoconus group (321 keratoconus eyes). Topographic information (Sirius, CSO, Italy) was processed with SolidWorks v2012 and a solid model representing the geometry of each cornea was generated. The following parameters were defined: anterior (Aant) and posterior (Apost) corneal surface areas, area of the cornea within the sagittal plane passing through the Z axis and the apex (Aapexant, Aapexpost) and minimum thickness points (Amctant, Amctpost) of the anterior and posterior corneal surfaces, and average distance from the Z axis to the apex (Dapexant, Dapexpost) and minimum thickness points (Dmctant, Dmctpost) of both corneal surfaces.ResultsSignificant differences among control and keratoconus group were found in Aapexant, Aapexpost, Amctant, Amctpost, Dapexant, Dapexpost (all p<0.001), Apost (p = 0.014), and Dmctpost (p = 0.035). Significant correlations in keratoconus group were found between Aant and Apost (r = 0.836), Amctant and Amctpost (r = 0.983), and Dmctant and Dmctpost (r = 0.954, all p<0.001). A logistic regression analysis revealed that the detection of keratoconus grade I (Amsler Krumeich) was related to Apost, Atot, Aapexant, Amctant, Amctpost, Dapexpost, Dmctant and Dmctpost (Hosmer-Lemeshow: p>0.05, R2 Nagelkerke: 0.926). The overall percentage of cases correctly classified by the model was 97.30%.ConclusionsOur morphogeometric approach based on the analysis of the cornea as a solid is useful for the characterization and detection of keratoconus.

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“…Keratoconus (KC) is the most common ectatic disorder of the cornea [ 1 ], and a major cause of ocular morbidity with significant social and economic impact as the disease affects younger generations [ 1 ]. It is an ectatic debilitating corneal disorder characterized by a progressive corneal thinning that results in corneal protrusion, irregular astigmatism, and decreased visual performance [ 2 , 3 ].…”

Section: Introductionmentioning

confidence: 99%

Prevalence of Keratoconus Among a Palestinian Tertiary Student Population

Shehadeh¹,

Diakonis²,

Jalil³

et al. 2015

TOOPHTJ

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Purpose:To screen for keratoconus and potential associated risk factors in a tertiary student population sample.Population and Methods:This cross sectional study included 1234 students attending An-Najah National University (Nablus, West Bank, Palestine), that were randomly selected from a total of 20,000 university students. 634 (51.3%) student participants responded by completing a self-administered questionnaire and were assessed by means of corneal topography. Following initial evaluation, participants were referred for Pentacam evaluation if they demonstrated either a mean keratometry of more than 45 diopters, corneal astigmatism of more than 2 diopters and/or if asymmetric topographic patterns were present. Pentacam images were analyzed by an experienced ophthalmologist based on a number of indices and the participants were classified as normal, keratoconus suspects, and keratoconus patients.Results:A total of 620 participants (mean age, 20.1±1.6 years) were included in this study, 379 (61.1%) were females and 241 (38.9%) were males. Nine subjects were diagnosed with keratoconus, demonstrating a prevalence of 1.5%. 52 (8.4%) participants showed at least one abnormal pentacam index, and were considered as KC suspects.Conclusion:Keratoconus is a prevalent disease among the tertiary Palestinian student population. This may be related to a combination of genetic and environmental factors. The results of this study signal the need for public health outreach and intervention for keratoconus.

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Screening Subclinical Keratoconus With Placido-Based Corneal Indices

Cited by 24 publications

References 41 publications

Digital pupillometry and centroid shift changes after cataract surgery

Digital pupillometry and centroid shift changes after cataract surgery

A new approach to keratoconus detection based on corneal morphogeometric analysis

Prevalence of Keratoconus Among a Palestinian Tertiary Student Population

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