Purpose: To compare the ability of imo binocular random single-eye test (BRSET) to detect visual field (VF) defects due to chiasmal and postchiasmal lesions (C/PCLs) with a Humphrey Field Analyzer (HFA) monocular test.
Study Design: Prospective multicenter study METHODS: This study enrolled 40 patients with C/PCLs and measured their VFs using both imo BRSET and HFA monocular test. The VFs were classified into three groups using the cluster criterion: 1) bitemporal group, 2) homonymous group, and 3) others. The agreement and correlation of VF results between imo and HFA were analyzed using the Bland-Altman plot and Spearman correlation coefficient.
Results: The VFs of 34 patients were analyzed and classified. There were 13 patients in the bitemporal, 6 in the homonymous, and 15 in the others group. BRSET showed a significantly shorter test duration than HFA. The imo systematically yielded a lower sensitivity than HFA. The average sensitivity at each test location correlated well between the perimeters in all groups, with the correlation coefficients ranging from 0.89 to 0.98. Bland-Altman plots showed wider limits of agreement in the affected quadrants compared to the unaffected quadrants in the bitemporal and homonymous groups. The fixation loss rate did not differ between the perimeters, but there were significant differences in the false positive and false negative rates between perimeters.
Conclusion: BRSET detected VF defects due to C/PCLs as accurately as the HFA monocular test with a shorter test duration.
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http://dx.doi.org/10.1007/s10384-022-00935-y | DOI Listing |
Int J Ophthalmol
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Department of Ophthalmology and Optometry, Eye & ENT Hospital of Fudan University, Shanghai 200031, China.
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Division of Experimental and Molecular Psychiatry, Department of Psychiatry, Psychotherapy and Preventive Medicine, LWL University Hospital, Ruhr- University, Bochum, Germany.
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CIMeC, Center for Mind/Brain Sciences, The University of Trento, Trento, Italy.
Sighting dominance is an important behavioral property which has been difficult to measure quantitatively with high precision. We developed a measurement method that is grounded in a two-camera model that satisfies these aims. Using a simple alignment task, this method quantifies sighting ocular dominance during binocular viewing, identifying each eye's relative contribution to binocular vision.
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Postgraduate Program in Biotechnology, Parnaíba Delta Federal University, Parnaíba 64202-020, Brazil.
Human Pose Estimation (HPE) is a computer vision application that utilizes deep learning techniques to precisely locate Key Joint Points (KJPs), enabling the accurate description of a person's pose. HPE models can be extended to facilitate Range of Motion (ROM) assessment by leveraging patient photographs. This study aims to evaluate and compare the performance of HPE models for assessing upper limbs ROM.
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