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Updated: May 24, 2026

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Published on: January 18, 2018

[Quantitative evaluations of ischemic stroke based on meta-analysis].

Xue-wen Yu¹, Zhe Zhang, Jian Yang

¹Department of Radiology, Xi'an Jiaotong University, Xi'an, China.

Zhonghua Yi Xue Za Zhi

|February 16, 2012

Summary

This meta-analysis shows apparent diffusion coefficient (ADC) values change across ischemic stroke stages. Lower ADC values in early stages indicate stroke progression and can guide treatment decisions.

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Last Updated: May 24, 2026

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Published on: January 18, 2018

Area of Science:

Neuroimaging
Neurology
Radiology

Context:

Ischemic stroke diagnosis and staging are critical for effective treatment.
Diffusion-weighted imaging-magnetic resonance imaging (DWI-MRI) provides quantitative metrics like apparent diffusion coefficient (ADC).
Understanding ADC evolution across stroke phases is essential for clinical management.

Purpose:

To conduct a meta-analysis exploring the changes in apparent diffusion coefficient (ADC) during various stages of ischemic stroke.
To synthesize findings from existing literature to establish quantitative ADC values for hyper-acute, acute, sub-acute, and chronic stroke phases.

Summary:

A meta-analysis of 34 studies (20 English, 14 Chinese) revealed distinct pooled ADC values for different stroke stages.
Hyper-acute and acute stroke stages exhibited significantly lower ADC values (0.53 and 0.50 × 10(-3) s/mm, respectively) compared to penumbra and control groups.
ADC values demonstrated statistically significant differences across all stroke stages (hyper-acute, acute, sub-acute, chronic) when compared to control groups, with chronic stroke showing the highest ADC value (1.20 × 10(-3) s/mm).

Impact:

The findings suggest that ADC values can serve as a quantitative biomarker for assessing stroke severity and progression.
Quantitative ADC measurements can aid clinicians in guiding treatment strategies for ischemic stroke patients.
This meta-analysis provides a consolidated reference for ADC values in different stroke phases, supporting diagnostic accuracy and therapeutic planning.