QMCVMar 11, 2022

Computational Image-based Stroke Assessment for Evaluation of Cerebroprotectants with Longitudinal and Multi-site Preclinical MRI

arXiv:2203.05714v24 citationsh-index: 173
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of translating cerebroprotectants from rodents to humans by enhancing the quality and scalability of preclinical screening, though it is incremental as it builds on existing imaging and data analysis methods.

The researchers tackled the challenge of improving preclinical stroke trials by developing an automated pipeline for quantifying stroke outcomes from MRI data in rodent models, applying it to 1,368 scans and validating it with expert annotations.

While ischemic stroke is a leading cause of death worldwide, there has been little success translating putative cerebroprotectants from rodent preclinical trials to human patients. We investigated computational image-based assessment tools for practical improvement of the quality, scalability, and outlook for large scale preclinical screening for potential therapeutic interventions in rodent models. We developed, evaluated, and deployed a pipeline for image-based stroke outcome quantification for the Stroke Preclinical Assessment Network (SPAN), a multi-site, multi-arm, multi-stage study evaluating a suite of cerebroprotectant interventions. Our fully automated pipeline combines state-of-the-art algorithmic and data analytic approaches to assess stroke outcomes from multi-parameter MRI data collected longitudinally from a rodent model of middle cerebral artery occlusion (MCAO), including measures of infarct volume, brain atrophy, midline shift, and data quality. We applied our approach to 1,368 scans and report population level results of lesion extent and longitudinal changes from injury. We validated our system by comparison with both manual annotations of coronal MRI slices and tissue sections from the same brain, using crowdsourcing from blinded stroke experts from the network. Our results demonstrate the efficacy and robustness of our image-based stroke assessments. The pipeline may provide a promising resource for ongoing rodent preclinical studies conducted by SPAN and other networks in the future.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes