Purpose: To evaluate the diagnostic performance of optical coherence tomography (OCT) and visual field (VF) summary statistics (metrics) that are available in OCT and VF reports.
Methods: OCT disc and macular scans and 24-2 and 10-2 VFs were obtained from 56 healthy control (HC) eyes/participants and 61 eyes/patients with 24-2 mean deviation of better than -6 dB. All metrics were obtained from OCT radial, circle, and posterior pole cube scans and 24-2 and 10-2 VFs. Their diagnostic performances were evaluated, in isolation and in combinations. For specificity, the 56 HC eyes were used. For sensitivity, 40 of the 61 patient eyes were deemed likely glaucomatous based on an automated topographic method that evaluates structure-function (S-F) agreement. Any 1 of these 40 eyes not judged as abnormal by any given metric was considered a false negative.
Results: All single OCT and VF metrics misclassified HCs as glaucomatous and missed likely glaucomatous eyes. The best performing single metric was the temporal inferior thickness of the 3.5-mm circle scan, with 96% specificity and 83% sensitivity. Combinations of OCT-OCT and OCT-VF metrics markedly improved specificity. A newly proposed metric that evaluates structure-structure (S-S) agreement at a hemifield level had the highest accuracy. This S-S metric had 98% specificity and 80% sensitivity.
Conclusions: OCT and VF metrics, single or in combinations, have only moderate sensitivity for eyes with early glaucoma.
Translational Relevance: OCT and VF metrics combinations evaluating S-S or S-F agreement can be highly specific, which is an important implication for clinical and research purposes.
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http://dx.doi.org/10.1167/tvst.11.3.36 | DOI Listing |
BMJ Oncol
October 2024
Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.
Clinical endpoints, such as overall survival, directly measure relevant outcomes. Surrogate endpoints, in contrast, are intermediate, stand-in measures of various tumour-related metrics and include tumour growth, tumour shrinkage, blood results, etc. Surrogates may be a time point measurement, that is, tumour shrinkage at some point (eg, response rate) or biomarker-assessed disease status, measured at given time points (eg, circulating tumour DNA, ctDNA).
View Article and Find Full Text PDFJDS Commun
January 2025
Animal and Dairy Sciences Department, University of Wisconsin-Madison, Madison, WI 53706.
In the face of diminishing economic margins, dairy farmers globally are compelled to maintain economic competitiveness. Benchmarking emerges as a strategic tool to establish new, achievable improvement objectives that balance ambition with practicality. This typically requires integrating diverse data sources, such as feed, milk production, diet, and market prices.
View Article and Find Full Text PDFMar Pollut Bull
January 2025
Sustainable Environment Research Institute, Chulalongkorn University, Bangkok, Thailand. Electronic address:
Models estimate up to 3 million metric tons of river plastic waste flowing into the world's ocean every year. All ocean-bound rivers endure tidal impact to some degree, but there is a lack of data on the resulting marine emission effects. To address this gap we analyzed the trajectories of grapefruit-sized floating GPS drifters (n = 63) in the Chao Phraya estuary in Bangkok, Thailand, in the three seasons of 2022-2023.
View Article and Find Full Text PDFJ Neurol Sci
January 2025
Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
Background: Several studies show that optical coherence tomography (OCT) metrics e with cognition, disability, and brain structure in people with multiple sclerosis (PwMS). This review the correlation between OCT parameters and magnetic resonance imaging (MRI) measurements in PwMS.
Methods: A comprehensive search of PubMed/MEDLINE, Embase, Scopus, and Web of Science was performed, including studies published in English up to November 29, 2024 to identify studies reporting quantitative data on the correlation between baseline OCT parameters and MRI measurements in PwMS.
J Dent Sci
January 2025
School of Dentistry, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Background/purpose: Oral mucosal lesions are associated with a variety of pathological conditions. Most deep-learning-based convolutional neural network (CNN) systems for computer-aided diagnosis of oral lesions have typically concentrated on determining limited aspects of differential diagnosis. This study aimed to develop a CNN-based diagnostic model capable of classifying clinical photographs of oral ulcerative and associated lesions into five different diagnoses, thereby assisting clinicians in making accurate differential diagnoses.
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