A toolkit for stroke infarct volume estimation in rodents

• Published in: NeuroImage (Orlando, Fla.) Vol. 287; p. 120518
• Main Authors: Weber, Rebecca Z., Bernardoni, Davide, Rentsch, Nora H., Buil, Beatriz Achón, Halliday, Stefanie, Augath, Mark-Aurel, Razansky, Daniel, Tackenberg, Christian, Rust, Ruslan
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.02.2024; Elsevier Limited; Elsevier
• Subjects: Angiogenesis; Brain injury; Brain research; Glial fibrillary acidic protein; Histology; Immunofluorescence; Immunofluorescence imaging; Ischemia; Laboratory animals; Magnetic resonance imaging; MRI; Neuroimaging; Photothrombotic stroke; Software; Stroke; Stroke size; Stroke volume; Switzerland; Germany; Photothrombotic stroke; Histology; Immunofluorescence imaging; MRI; Stroke volume; Stroke size; immunofluorescence imaging; histology; stroke size; stroke volume
• ISSN: 1053-8119; 1095-9572
• DOI: 10.1016/j.neuroimage.2024.120518

•A toolkit for stroke volume estimation in mice.•Method tested on whole brain MRI and histological brain section.•Results show high overlap between stroke volumes derived from MRI and histology tissue at acute and chronic phases after stroke. Stroke volume is a key determinant of infarct severity and an important metric for evaluating treatments. However, accurate estimation of stroke volume can be challenging, due to the often confined 2-dimensional nature of available data. Here, we introduce a comprehensive semi-automated toolkit to reliably estimate stroke volumes based on (1) whole brains ex-vivo magnetic resonance imaging (MRI) and (2) brain sections that underwent immunofluorescence staining. We located and quantified infarct areas from MRI three days (acute) and 28 days (chronic) after photothrombotic stroke induction in whole mouse brains. MRI results were compared with measures obtained from immunofluorescent histologic sections of the same brains. We found that infarct volume determined by post-mortem MRI was highly correlated with a deviation of only 6.6 % (acute) and 4.9 % (chronic) to the measurements as determined in the histological brain sections indicating that both methods are capable of accurately assessing brain tissue damage (Pearson r > 0.9, p < 0.001). The Dice similarity coefficient (DC) showed a high degree of coherence (DC > 0.8) between MRI-delineated regions of interest (ROIs) and ROIs obtained from histologic sections at four to six pre-defined landmarks, with histology-based delineation demonstrating higher inter-operator similarity compared to MR images. We further investigated stroke-related scarring and post-ischemic angiogenesis in cortical peri‑infarct regions and described a negative correlation between GFAP+fluorescence intensity and MRI-obtained lesion size.