Cargando…

A Metascore of Multiple Imaging Methods to Measure Long-Term Glaucoma Structural Progression

PURPOSE: To develop a structural metascore (SMS) that combines measurements from different devices and expresses them on a single scale to facilitate their long-term analysis. METHODS: Three structural measurements (Heidelberg Retina Tomograph II [HRT] rim area, HD-Cirrus optical coherence tomograph...

Descripción completa

Detalles Bibliográficos
Autores principales: De Gainza, Agustina, Morales, Esteban, Rabiolo, Alessandro, Yu, Fei, Afifi, Abdelmonem A., Nouri-Mahdavi, Kouros, Caprioli, Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513740/
https://www.ncbi.nlm.nih.gov/pubmed/36129700
http://dx.doi.org/10.1167/tvst.11.9.15
_version_ 1784798133202452480
author De Gainza, Agustina
Morales, Esteban
Rabiolo, Alessandro
Yu, Fei
Afifi, Abdelmonem A.
Nouri-Mahdavi, Kouros
Caprioli, Joseph
author_facet De Gainza, Agustina
Morales, Esteban
Rabiolo, Alessandro
Yu, Fei
Afifi, Abdelmonem A.
Nouri-Mahdavi, Kouros
Caprioli, Joseph
author_sort De Gainza, Agustina
collection PubMed
description PURPOSE: To develop a structural metascore (SMS) that combines measurements from different devices and expresses them on a single scale to facilitate their long-term analysis. METHODS: Three structural measurements (Heidelberg Retina Tomograph II [HRT] rim area, HD-Cirrus optical coherence tomography [OCT] average retinal nerve fiber layer [RNFL] thickness, Spectralis OCT RNFL global thickness) were normalized on a scale of 0 to 100 and converted to a reference value. The resultant metascores were plotted against time. SMS performance was evaluated to predict future values (internal validation), and correlations between the average grades assigned by three clinicians were compared with the SMS slopes (external validation). RESULTS: The linear regression fit with the variance approach, and adjustment to a Spectralis equivalent was the best-performing approach; this was denominated metascore. Plots were created for 3416 eyes of 1824 patients. The average baseline age (± standard deviation) was 69.8 (±13.9), mean follow-up was 11.6 (±4.7) years, and mean number of structural scans per eye was 10.0 (±4.7). The mean numbers of scans per device were 3.8 (±2.5), 5.0 (±2.9), and 1.3 (±3.0) for HRT, Cirrus, and Spectralis, respectively. The metascore slopes’ median was −0.3 (interquartile range 1.1). Correlations between the average grades assigned by the three clinicians and the metascore slopes were −0.51, −0.49, and −0.69 for the first (structural measurement printouts alone), second (metascore plots alone), and third (printouts + metascore plots) series of gradings, respectively. The average absolute predictive ability was 7.63/100 (whereas 100 = entire normalized scale). CONCLUSIONS: We report a method that converts Cirrus global RNFL and HRT global rim area normalized measurements to Spectralis global RNFL equivalent values to facilitate long-term structural follow-up. TRANSLATIONAL RELEVANCE: Because glaucoma changes usually occur slowly, patients are often examined with different instruments during their follow-up, a method that “unifies” structural measurements provided by different devices, which could assist patients’ longitudinal structural follow-up.
format Online
Article
Text
id pubmed-9513740
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher The Association for Research in Vision and Ophthalmology
record_format MEDLINE/PubMed
spelling pubmed-95137402022-09-28 A Metascore of Multiple Imaging Methods to Measure Long-Term Glaucoma Structural Progression De Gainza, Agustina Morales, Esteban Rabiolo, Alessandro Yu, Fei Afifi, Abdelmonem A. Nouri-Mahdavi, Kouros Caprioli, Joseph Transl Vis Sci Technol Glaucoma PURPOSE: To develop a structural metascore (SMS) that combines measurements from different devices and expresses them on a single scale to facilitate their long-term analysis. METHODS: Three structural measurements (Heidelberg Retina Tomograph II [HRT] rim area, HD-Cirrus optical coherence tomography [OCT] average retinal nerve fiber layer [RNFL] thickness, Spectralis OCT RNFL global thickness) were normalized on a scale of 0 to 100 and converted to a reference value. The resultant metascores were plotted against time. SMS performance was evaluated to predict future values (internal validation), and correlations between the average grades assigned by three clinicians were compared with the SMS slopes (external validation). RESULTS: The linear regression fit with the variance approach, and adjustment to a Spectralis equivalent was the best-performing approach; this was denominated metascore. Plots were created for 3416 eyes of 1824 patients. The average baseline age (± standard deviation) was 69.8 (±13.9), mean follow-up was 11.6 (±4.7) years, and mean number of structural scans per eye was 10.0 (±4.7). The mean numbers of scans per device were 3.8 (±2.5), 5.0 (±2.9), and 1.3 (±3.0) for HRT, Cirrus, and Spectralis, respectively. The metascore slopes’ median was −0.3 (interquartile range 1.1). Correlations between the average grades assigned by the three clinicians and the metascore slopes were −0.51, −0.49, and −0.69 for the first (structural measurement printouts alone), second (metascore plots alone), and third (printouts + metascore plots) series of gradings, respectively. The average absolute predictive ability was 7.63/100 (whereas 100 = entire normalized scale). CONCLUSIONS: We report a method that converts Cirrus global RNFL and HRT global rim area normalized measurements to Spectralis global RNFL equivalent values to facilitate long-term structural follow-up. TRANSLATIONAL RELEVANCE: Because glaucoma changes usually occur slowly, patients are often examined with different instruments during their follow-up, a method that “unifies” structural measurements provided by different devices, which could assist patients’ longitudinal structural follow-up. The Association for Research in Vision and Ophthalmology 2022-09-21 /pmc/articles/PMC9513740/ /pubmed/36129700 http://dx.doi.org/10.1167/tvst.11.9.15 Text en Copyright 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Glaucoma
De Gainza, Agustina
Morales, Esteban
Rabiolo, Alessandro
Yu, Fei
Afifi, Abdelmonem A.
Nouri-Mahdavi, Kouros
Caprioli, Joseph
A Metascore of Multiple Imaging Methods to Measure Long-Term Glaucoma Structural Progression
title A Metascore of Multiple Imaging Methods to Measure Long-Term Glaucoma Structural Progression
title_full A Metascore of Multiple Imaging Methods to Measure Long-Term Glaucoma Structural Progression
title_fullStr A Metascore of Multiple Imaging Methods to Measure Long-Term Glaucoma Structural Progression
title_full_unstemmed A Metascore of Multiple Imaging Methods to Measure Long-Term Glaucoma Structural Progression
title_short A Metascore of Multiple Imaging Methods to Measure Long-Term Glaucoma Structural Progression
title_sort metascore of multiple imaging methods to measure long-term glaucoma structural progression
topic Glaucoma
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513740/
https://www.ncbi.nlm.nih.gov/pubmed/36129700
http://dx.doi.org/10.1167/tvst.11.9.15
work_keys_str_mv AT degainzaagustina ametascoreofmultipleimagingmethodstomeasurelongtermglaucomastructuralprogression
AT moralesesteban ametascoreofmultipleimagingmethodstomeasurelongtermglaucomastructuralprogression
AT rabioloalessandro ametascoreofmultipleimagingmethodstomeasurelongtermglaucomastructuralprogression
AT yufei ametascoreofmultipleimagingmethodstomeasurelongtermglaucomastructuralprogression
AT afifiabdelmonema ametascoreofmultipleimagingmethodstomeasurelongtermglaucomastructuralprogression
AT nourimahdavikouros ametascoreofmultipleimagingmethodstomeasurelongtermglaucomastructuralprogression
AT capriolijoseph ametascoreofmultipleimagingmethodstomeasurelongtermglaucomastructuralprogression
AT degainzaagustina metascoreofmultipleimagingmethodstomeasurelongtermglaucomastructuralprogression
AT moralesesteban metascoreofmultipleimagingmethodstomeasurelongtermglaucomastructuralprogression
AT rabioloalessandro metascoreofmultipleimagingmethodstomeasurelongtermglaucomastructuralprogression
AT yufei metascoreofmultipleimagingmethodstomeasurelongtermglaucomastructuralprogression
AT afifiabdelmonema metascoreofmultipleimagingmethodstomeasurelongtermglaucomastructuralprogression
AT nourimahdavikouros metascoreofmultipleimagingmethodstomeasurelongtermglaucomastructuralprogression
AT capriolijoseph metascoreofmultipleimagingmethodstomeasurelongtermglaucomastructuralprogression