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Comparing Accuracies of Length-Type Geographic Atrophy Growth Rate Metrics Using Atrophy-Front Growth Modeling
PURPOSE: To compare the accuracies of the previously proposed square-root-transformed and perimeter-adjusted metrics for estimating length-type geographic atrophy (GA) growth rates. DESIGN: Cross-sectional and simulation-based study. PARTICIPANTS: Thirty-eight eyes with GA from 27 patients. METHODS:...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560575/ https://www.ncbi.nlm.nih.gov/pubmed/36245762 http://dx.doi.org/10.1016/j.xops.2022.100156 |
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author | Moult, Eric M. Shi, Yingying Wang, Liang Chen, Siyu Waheed, Nadia K. Gregori, Giovanni Rosenfeld, Philip J. Fujimoto, James G. |
author_facet | Moult, Eric M. Shi, Yingying Wang, Liang Chen, Siyu Waheed, Nadia K. Gregori, Giovanni Rosenfeld, Philip J. Fujimoto, James G. |
author_sort | Moult, Eric M. |
collection | PubMed |
description | PURPOSE: To compare the accuracies of the previously proposed square-root-transformed and perimeter-adjusted metrics for estimating length-type geographic atrophy (GA) growth rates. DESIGN: Cross-sectional and simulation-based study. PARTICIPANTS: Thirty-eight eyes with GA from 27 patients. METHODS: We used a previously developed atrophy-front growth model to provide analytical and numerical evaluations of the square-root-transformed and perimeter-adjusted growth rate metrics on simulated and semisimulated GA growth data. MAIN OUTCOME MEASURES: Comparison of the accuracies of the square-root-transformed and perimeter-adjusted metrics on simulated and semisimulated GA growth data. RESULTS: Analytical and numerical evaluations showed that the accuracy of the perimeter-adjusted metric is affected minimally by baseline lesion area, focality, and circularity over a wide range of GA growth rates. Average absolute errors of the perimeter-adjusted metric were approximately 20 times lower than those of the square-root-transformed metrics, per evaluation on a semisimulated dataset with growth rate characteristics matching clinically observed data. CONCLUSIONS: Length-type growth rates have an intuitive, biophysical interpretation that is independent of lesion geometry, which supports their use in clinical trials of GA therapeutics. Taken in the context of prior studies, our analyses suggest that length-type GA growth rates should be measured using the perimeter-adjusted metric, rather than square-root-transformed metrics. |
format | Online Article Text |
id | pubmed-9560575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-95605752022-10-14 Comparing Accuracies of Length-Type Geographic Atrophy Growth Rate Metrics Using Atrophy-Front Growth Modeling Moult, Eric M. Shi, Yingying Wang, Liang Chen, Siyu Waheed, Nadia K. Gregori, Giovanni Rosenfeld, Philip J. Fujimoto, James G. Ophthalmol Sci Original Article PURPOSE: To compare the accuracies of the previously proposed square-root-transformed and perimeter-adjusted metrics for estimating length-type geographic atrophy (GA) growth rates. DESIGN: Cross-sectional and simulation-based study. PARTICIPANTS: Thirty-eight eyes with GA from 27 patients. METHODS: We used a previously developed atrophy-front growth model to provide analytical and numerical evaluations of the square-root-transformed and perimeter-adjusted growth rate metrics on simulated and semisimulated GA growth data. MAIN OUTCOME MEASURES: Comparison of the accuracies of the square-root-transformed and perimeter-adjusted metrics on simulated and semisimulated GA growth data. RESULTS: Analytical and numerical evaluations showed that the accuracy of the perimeter-adjusted metric is affected minimally by baseline lesion area, focality, and circularity over a wide range of GA growth rates. Average absolute errors of the perimeter-adjusted metric were approximately 20 times lower than those of the square-root-transformed metrics, per evaluation on a semisimulated dataset with growth rate characteristics matching clinically observed data. CONCLUSIONS: Length-type growth rates have an intuitive, biophysical interpretation that is independent of lesion geometry, which supports their use in clinical trials of GA therapeutics. Taken in the context of prior studies, our analyses suggest that length-type GA growth rates should be measured using the perimeter-adjusted metric, rather than square-root-transformed metrics. Elsevier 2022-04-14 /pmc/articles/PMC9560575/ /pubmed/36245762 http://dx.doi.org/10.1016/j.xops.2022.100156 Text en © 2022 by the American Academy of Ophthalmology. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Original Article Moult, Eric M. Shi, Yingying Wang, Liang Chen, Siyu Waheed, Nadia K. Gregori, Giovanni Rosenfeld, Philip J. Fujimoto, James G. Comparing Accuracies of Length-Type Geographic Atrophy Growth Rate Metrics Using Atrophy-Front Growth Modeling |
title | Comparing Accuracies of Length-Type Geographic Atrophy Growth Rate Metrics Using Atrophy-Front Growth Modeling |
title_full | Comparing Accuracies of Length-Type Geographic Atrophy Growth Rate Metrics Using Atrophy-Front Growth Modeling |
title_fullStr | Comparing Accuracies of Length-Type Geographic Atrophy Growth Rate Metrics Using Atrophy-Front Growth Modeling |
title_full_unstemmed | Comparing Accuracies of Length-Type Geographic Atrophy Growth Rate Metrics Using Atrophy-Front Growth Modeling |
title_short | Comparing Accuracies of Length-Type Geographic Atrophy Growth Rate Metrics Using Atrophy-Front Growth Modeling |
title_sort | comparing accuracies of length-type geographic atrophy growth rate metrics using atrophy-front growth modeling |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560575/ https://www.ncbi.nlm.nih.gov/pubmed/36245762 http://dx.doi.org/10.1016/j.xops.2022.100156 |
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