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Retinal vessel multifractals predict pial collateral status in patients with acute ischemic stroke
OBJECTIVES: Pial collateral blood flow is a major determinant of the outcomes of acute ischemic stroke. This study was undertaken to determine whether retinal vessel metrics can predict the pial collateral status and stroke outcomes in patients. METHODS: Thirty-five patients with acute stroke second...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9070887/ https://www.ncbi.nlm.nih.gov/pubmed/35511879 http://dx.doi.org/10.1371/journal.pone.0267837 |
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author | Khan, Adnan De Boever, Patrick Gerrits, Nele Akhtar, Naveed Saqqur, Maher Ponirakis, Georgios Gad, Hoda Petropoulos, Ioannis N. Shuaib, Ashfaq Faber, James E. Kamran, Saadat Malik, Rayaz A. |
author_facet | Khan, Adnan De Boever, Patrick Gerrits, Nele Akhtar, Naveed Saqqur, Maher Ponirakis, Georgios Gad, Hoda Petropoulos, Ioannis N. Shuaib, Ashfaq Faber, James E. Kamran, Saadat Malik, Rayaz A. |
author_sort | Khan, Adnan |
collection | PubMed |
description | OBJECTIVES: Pial collateral blood flow is a major determinant of the outcomes of acute ischemic stroke. This study was undertaken to determine whether retinal vessel metrics can predict the pial collateral status and stroke outcomes in patients. METHODS: Thirty-five patients with acute stroke secondary to middle cerebral artery (MCA) occlusion underwent grading of their pial collateral status from computed tomography angiography and retinal vessel analysis from retinal fundus images. RESULTS: The NIHSS (14.7 ± 5.5 vs 10.1 ± 5.8, p = 0.026) and mRS (2.9 ± 1.6 vs 1.9 ± 1.3, p = 0.048) scores were higher at admission in patients with poor compared to good pial collaterals. Retinal vessel multifractals: D(0) (1.673±0.028vs1.652±0.025, p = 0.028), D(1) (1.609±0.027vs1.590±0.025, p = 0.044) and f(α)max (1.674±0.027vs1.652±0.024, p = 0.019) were higher in patients with poor compared to good pial collaterals. Furthermore, support vector machine learning achieved a fair sensitivity (0.743) and specificity (0.707) for differentiating patients with poor from good pial collaterals. Age (p = 0.702), BMI (p = 0.422), total cholesterol (p = 0.842), triglycerides (p = 0.673), LDL (p = 0.952), HDL (p = 0.366), systolic blood pressure (p = 0.727), HbA(1c) (p = 0.261) and standard retinal metrics including CRAE (p = 0.084), CRVE (p = 0.946), AVR (p = 0.148), tortuosity index (p = 0.790), monofractal D(f) (p = 0.576), lacunarity (p = 0.531), curve asymmetry (p = 0.679) and singularity length (p = 0.937) did not differ between patients with poor compared to good pial collaterals. CONCLUSIONS: This is the first translational study to show increased retinal vessel multifractal dimensions in patients with acute ischemic stroke and poor pial collaterals. A retinal vessel classifier was developed to differentiate between patients with poor and good pial collaterals and may allow rapid non-invasive identification of patients with poor pial collaterals. |
format | Online Article Text |
id | pubmed-9070887 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-90708872022-05-06 Retinal vessel multifractals predict pial collateral status in patients with acute ischemic stroke Khan, Adnan De Boever, Patrick Gerrits, Nele Akhtar, Naveed Saqqur, Maher Ponirakis, Georgios Gad, Hoda Petropoulos, Ioannis N. Shuaib, Ashfaq Faber, James E. Kamran, Saadat Malik, Rayaz A. PLoS One Research Article OBJECTIVES: Pial collateral blood flow is a major determinant of the outcomes of acute ischemic stroke. This study was undertaken to determine whether retinal vessel metrics can predict the pial collateral status and stroke outcomes in patients. METHODS: Thirty-five patients with acute stroke secondary to middle cerebral artery (MCA) occlusion underwent grading of their pial collateral status from computed tomography angiography and retinal vessel analysis from retinal fundus images. RESULTS: The NIHSS (14.7 ± 5.5 vs 10.1 ± 5.8, p = 0.026) and mRS (2.9 ± 1.6 vs 1.9 ± 1.3, p = 0.048) scores were higher at admission in patients with poor compared to good pial collaterals. Retinal vessel multifractals: D(0) (1.673±0.028vs1.652±0.025, p = 0.028), D(1) (1.609±0.027vs1.590±0.025, p = 0.044) and f(α)max (1.674±0.027vs1.652±0.024, p = 0.019) were higher in patients with poor compared to good pial collaterals. Furthermore, support vector machine learning achieved a fair sensitivity (0.743) and specificity (0.707) for differentiating patients with poor from good pial collaterals. Age (p = 0.702), BMI (p = 0.422), total cholesterol (p = 0.842), triglycerides (p = 0.673), LDL (p = 0.952), HDL (p = 0.366), systolic blood pressure (p = 0.727), HbA(1c) (p = 0.261) and standard retinal metrics including CRAE (p = 0.084), CRVE (p = 0.946), AVR (p = 0.148), tortuosity index (p = 0.790), monofractal D(f) (p = 0.576), lacunarity (p = 0.531), curve asymmetry (p = 0.679) and singularity length (p = 0.937) did not differ between patients with poor compared to good pial collaterals. CONCLUSIONS: This is the first translational study to show increased retinal vessel multifractal dimensions in patients with acute ischemic stroke and poor pial collaterals. A retinal vessel classifier was developed to differentiate between patients with poor and good pial collaterals and may allow rapid non-invasive identification of patients with poor pial collaterals. Public Library of Science 2022-05-05 /pmc/articles/PMC9070887/ /pubmed/35511879 http://dx.doi.org/10.1371/journal.pone.0267837 Text en © 2022 Khan et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Khan, Adnan De Boever, Patrick Gerrits, Nele Akhtar, Naveed Saqqur, Maher Ponirakis, Georgios Gad, Hoda Petropoulos, Ioannis N. Shuaib, Ashfaq Faber, James E. Kamran, Saadat Malik, Rayaz A. Retinal vessel multifractals predict pial collateral status in patients with acute ischemic stroke |
title | Retinal vessel multifractals predict pial collateral status in patients with acute ischemic stroke |
title_full | Retinal vessel multifractals predict pial collateral status in patients with acute ischemic stroke |
title_fullStr | Retinal vessel multifractals predict pial collateral status in patients with acute ischemic stroke |
title_full_unstemmed | Retinal vessel multifractals predict pial collateral status in patients with acute ischemic stroke |
title_short | Retinal vessel multifractals predict pial collateral status in patients with acute ischemic stroke |
title_sort | retinal vessel multifractals predict pial collateral status in patients with acute ischemic stroke |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9070887/ https://www.ncbi.nlm.nih.gov/pubmed/35511879 http://dx.doi.org/10.1371/journal.pone.0267837 |
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