Influence of Author's Gender on the Peer-Review Process in Vision Science.

Purpose: To investigate the gender gap in first/last authors in vision science and whether gender affects manuscript review times.

Design: Observational retrospective database study.

Methods: First/last author's gender and country were assigned to 30 438 PubMed records (data derived from Q1-Q2 Ophthalmology journals for 2016-2020).

Detection of Subclinical Keratoconus With a Validated Alternative Method to Corneal Densitometry.

Purpose: To enhance the current standards of subclinical keratoconus screening based on the statistical modeling of the pixel intensity distribution of Scheimpflug images.

Methods: Scheimpflug corneal tomographies corresponding to 25 corneal meridians of 60 participants were retrospectively collected and divided into three groups: controls (20 eyes), subclinical keratoconus (20 eyes), and clinical keratoconus (20 eyes). Only right eyes were selected.

Forecasting Progressive Trends in Keratoconus by Means of a Time Delay Neural Network.

Early and accurate detection of keratoconus progression is particularly important for the prudent, cost-effective use of corneal cross-linking and judicious timing of clinical follow-up visits. The aim of this study was to verify whether a progression could be predicted based on two prior tomography measurements and to verify the accuracy of the system when labelling the eye as stable or suspect progressive. Data from 743 patients measured by Pentacam (Oculus, Wetzlar, Germany) were available, and they were filtered and preprocessed to data quality needs.

Influence of the eye globe design on biomechanical analysis.

Purpose: To assess the mechanical contribution of inner eye components on corneal deformation during a finite element analysis.

Methods: A finite element model of an eye globe was implemented to examine the corneal response under various mechanical conditions. The model incorporates the cornea, limbus, sclera, iris, lens, muscles, anterior chamber and vitreous.

Logistic index for keratoconus detection and severity scoring (Logik).

Purpose: To develop an objective severity scoring system for keratoconus for the use in clinical practice.

Methods: Corneal elevation and minimum thickness data of 812 subjects were retrospectively collected and divided into two groups: one control group with normal topography in both eyes (304 eyes), and one keratoconus group (508 eyes). Keratoconus cases ranged from suspect to moderate and had at least 1 examination in 1 of 2 recruiting centres.

Repeatability of the Pentacam HR in Various Grades of Keratoconus.

Purpose: To evaluate the repeatability of an extensive number of relevant indices with the Pentacam HR in keratoconus of varying severity and normal eyes.

Design: Reliability analysis.

Methods: This study was performed at Antwerp University Hospital, Belgium, and enrolled 20 healthy volunteers (20 eyes) and 69 patients (69 eyes) with keratoconus.

Computer aided diagnosis for suspect keratoconus detection.

Purpose: To develop a stable and low-cost computer aided diagnosis (CAD) system for early keratoconus detection for clinical use.

Methods: The CAD combines a custom-made mathematical model, a feedforward neural network (FFN) and a Grossberg-Runge Kutta architecture to detect clinical and suspect keratoconus. It was applied to retrospective data of 851 subjects for whom corneal elevation and thickness data was available.