Purpose: To compare three methods to measure central corneal clearance (CCC) during scleral lens wear: subjective (slit lamp), image processed (ImageJ) and with an optic biometer. The optic biometer technique was validated in comparison to an OCT in the first part of the study.
Methods: Twenty-two eyes (11 subjects) with healthy corneas were recruited. Three measures of OCT with scleral lens and ten measurements of axial length (AL) with IOLMaster with and without lens were performed. For the second part, 61 eyes (35 subjects) enrolled in a clinical study were selected. Measurements of CCC were done with IOLMaster, SlitLamp and ImageJ.
Results: The measurements of CCC indirectly obtained with IOLMaster had a strong correlation with AS-OCT measurements (r = 0.981), showing a mean difference of 122.18 ± 46.05 μm (higher with IOLMaster). Regarding the second part, measurements of CCC were 238.66 ± 95.94 μm, 250.16 ± 124.31 μm and 263.15 ± 90.60 μm, for the IOLMaster, SlitLamp and ImageJ, respectively. The correlations were higher for ImageJ vs Subjective measure (r = 0.891) than for IOL vs Subjective (r = 0.748) and IOL vs ImageJ (r = 0.745). Analysis of differences and correlations between SlitLamp and ImageJ through time showed a mean difference of -32.28 ± 89.95 μm (r = 0.683) at V1month, 12.53 ± 59.46 μm (r = 0.850) at V6months and 11.57 ± 32.95 μm (r = 0.940) at V12months.
Conclusions: It is possible to measure CCC with IOLMaster, considering AL measured with and without lens and lens thickness. The three methods tested have good correspondence, showing that IOLMaster and ImageJ could be objective techniques to measure CCC. Also, it is possible to improve the agreement of subjective measures when compared to objective measures trough time.
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http://dx.doi.org/10.1016/j.clae.2018.11.013 | DOI Listing |
Behav Brain Res
December 2024
Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam University Medical Center, location VU Medical Center, Amsterdam, The Netherlands. Electronic address:
Modelling delay discounting behavior in rodents is important for understanding the neurobiological mechanisms underlying cognitive control and associated impulsivity disorders. Conventional rodent delay discounting procedures require extensive training and frequent experimenter interaction, as rodents are tested in separate operant chambers away from their home cage. To address these limitations, we adapted and characterize here a self-adjusting delay discounting procedure to an automated CombiCage setup.
View Article and Find Full Text PDFMed Phys
December 2024
Department of Radiology, Carver College of Medicine, University of Iowa, Iowa City, Iowa, USA.
Background: Respiratory function is impaired in chronic obstructive pulmonary disease (COPD). Automation of multi-volume CT-based measurements of different components of breathing-related airway deformations will help understand multi-pathway impairments in respiratory mechanics in COPD.
Purpose: To develop and evaluate multi-volume chest CT-based automated measurements of breathing-related radial and longitudinal expansion of individual airways between inspiratory and expiratory lung volumes.
Cancer Causes Control
December 2024
Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
The Surveillance Epidemiology and End Results (SEER) registry incorporates laterality, histology, latency, and topography to identify second primary breast cancers. Contralateral tumors are classified as second primaries, but ipsilaterals are subject to additional inclusion criteria that increase specificity but may induce biases. It is important to understand how classification methods affect accuracy of second tumor classification.
View Article and Find Full Text PDFPediatr Crit Care Med
December 2024
Department of Pediatrics, Section of Critical Care Medicine, University of Colorado School of Medicine, Aurora, CO.
Objectives: To describe frequency of, and risk factors, for change in caregiver employment among critically ill children with acute respiratory failure.
Design: Preplanned secondary analysis of prospective cohort dataset, 2018-2021.
Setting: Quaternary Children's Hospital PICU.
Sensors (Basel)
December 2024
Center for Veterinary Systems Transformation and Sustainability, Clinical Department for Farm Animals and Food System Science, University of Veterinary Medicine, 1210 Vienna, Austria.
Monitoring animal behavior using sensor technologies requires prior testing under varying conditions because behaviors can differ significantly, such as between grazing and confined cows. This study aimed to validate several sensor systems for classifying rumination and lying behaviors in cows on pasture under different environmental conditions, compare the sensors' performance at different time resolutions, and evaluate a correction algorithm for rumination data. Ten Simmental dairy cows were monitored on pasture, each simultaneously equipped with an ear-tag accelerometer (ET), two different leg-mounted accelerometers (LMs), and a noseband sensor (NB).
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