Retinal vessel multifractals predict pial collateral status in patients with acute ischemic stroke.

Autor: Khan A; Weill Cornell Medicine-Qatar, Doha, Qatar., De Boever P; Department of Biology, University of Antwerp, Antwerp, Wilrijk, Belgium.; Center of Environmental Sciences, Hasselt University, Diepenbeek, Belgium.; VITO (Flemish Institute for Technological Research), Health Unit, Mol, Belgium., Gerrits N; VITO (Flemish Institute for Technological Research), Health Unit, Mol, Belgium., Akhtar N; Institute of Neuroscience, Hamad Medical Corporation, Doha, Qatar., Saqqur M; Trillium Hospital, University of Toronto at Mississauga, Mississauga, ON, Canada.; Department of Medicine, University of Alberta, Edmonton, Canada., Ponirakis G; Weill Cornell Medicine-Qatar, Doha, Qatar., Gad H; Weill Cornell Medicine-Qatar, Doha, Qatar., Petropoulos IN; Weill Cornell Medicine-Qatar, Doha, Qatar., Shuaib A; Institute of Neuroscience, Hamad Medical Corporation, Doha, Qatar.; Department of Medicine, University of Alberta, Edmonton, Canada., Faber JE; Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America., Kamran S; Institute of Neuroscience, Hamad Medical Corporation, Doha, Qatar., Malik RA; Weill Cornell Medicine-Qatar, Doha, Qatar.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2022 May 05; Vol. 17 (5), pp. e0267837. Date of Electronic Publication: 2022 May 05 (Print Publication: 2022).
DOI: 10.1371/journal.pone.0267837
Abstrakt: 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: D0 (1.673±0.028vs1.652±0.025, p = 0.028), D1 (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), HbA1c (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 Df (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.
Competing Interests: The authors have declared that no competing interests exist.
Databáze: MEDLINE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje