Objective Grading of Tonography Tracings for the Measurement of Outflow Facility.

IF 2.6 3区 医学 Q2 OPHTHALMOLOGY Translational Vision Science & Technology Pub Date : 2025-02-03 DOI:10.1167/tvst.14.2.10
Arthur J Sit, Carol B Toris, Vikas Gulati, Arash Kazemi, Jesse Gilbert, Shan Fan, David M Reed, David O Hodge, Sayoko E Moroi
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Abstract

Purpose: Tonography is the standard method for non-invasive measurement of aqueous humor outflow facility. However, assessment of tonography tracing quality is currently subjective, and acceptance of poor-quality data or inappropriately discarding valid data can bias results. The purpose of this study was to develop an objective method for assessing the quality of tonography tracings.

Methods: Pneumatonography tracings were obtained from glaucoma and ocular hypertension patients as part of an ongoing multicenter study of aqueous humor dynamics. Intraocular pressure (IOP) was captured digitally at 40 Hz over 2 minutes. Root mean square error (RMSE) of a linear best-fit line was obtained for each tracing. Each tracing was also graded by seven experienced tonographers using a scale of 1 (worst) to 10 (best) for quality (Expert score). A Reference set of 35 tracings was used to determine the relationship between RMSE values and Expert scores using a logarithmic curve. This relationship was used to calculate a predicted score in a second Test set of 20 tracings. A logarithmic curve was used to account for the fixed range of Expert scores and unbounded upper range for RMSE values. The differences between the predicted scores and the Expert scores were evaluated using Bland-Altman analysis.

Results: There was a very strong correlation between predicted and Expert scores (R = 0.94). The mean difference between Expert and predicted scores was -1.01 ± 0.84, and the limits of agreement were between -2.65 and +0.63.

Conclusions: Objective assessment of pneumatonography tracings can be performed using RMSE of a fitted line and calculation of a predicted quality score that closely matches scores given by expert graders.

Translational relevance: Tonography tracing quality can now be objectively assessed.

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来源期刊
Translational Vision Science & Technology
Translational Vision Science & Technology Engineering-Biomedical Engineering
CiteScore
5.70
自引率
3.30%
发文量
346
审稿时长
25 weeks
期刊介绍: Translational Vision Science & Technology (TVST), an official journal of the Association for Research in Vision and Ophthalmology (ARVO), an international organization whose purpose is to advance research worldwide into understanding the visual system and preventing, treating and curing its disorders, is an online, open access, peer-reviewed journal emphasizing multidisciplinary research that bridges the gap between basic research and clinical care. A highly qualified and diverse group of Associate Editors and Editorial Board Members is led by Editor-in-Chief Marco Zarbin, MD, PhD, FARVO. The journal covers a broad spectrum of work, including but not limited to: Applications of stem cell technology for regenerative medicine, Development of new animal models of human diseases, Tissue bioengineering, Chemical engineering to improve virus-based gene delivery, Nanotechnology for drug delivery, Design and synthesis of artificial extracellular matrices, Development of a true microsurgical operating environment, Refining data analysis algorithms to improve in vivo imaging technology, Results of Phase 1 clinical trials, Reverse translational ("bedside to bench") research. TVST seeks manuscripts from scientists and clinicians with diverse backgrounds ranging from basic chemistry to ophthalmic surgery that will advance or change the way we understand and/or treat vision-threatening diseases. TVST encourages the use of color, multimedia, hyperlinks, program code and other digital enhancements.
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