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Updated: Jun 4, 2026

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
Published on: September 25, 2019
The hidden mismatch: an explanation for infarct growth without perfusion-weighted imaging/diffusion-weighted imaging
Henry K Ma1, Jorge A Zavala, Leonid Churilov
1National Stroke Research Institute, Austin Health, University of Melbourne, 300 Waterdale Road, Heidelberg West, Victoria 3081, Australia.
Background And Purpose:
In ischemic stroke, MR perfusion-weighted imaging (PWI) and diffusion-weighted imaging (DWI) mismatch represents tissue at risk for infarction. Infarct growth should only take place in the presence of mismatch, although there have been reports of this occurring. We hypothesized that this observation may be attributable to the presence of undetected "hidden mismatch," which may become obvious when coregistration techniques are used.
Methods:
MR PWI/DWI was performed within 48 hours of stroke onset and a final T2-weighted image at ≈3 months. Volumetric-subtraction mismatch volume was defined as PWI minus DWI volume and infarct growth was defined as T2 minus DWI volume. Coregistration mismatch volume was PWI not overlapped by DWI. Mismatch salvage was the proportion of coregistered mismatch tissue that had not progressed to infarction.
Results:
Thirty-four patients were studied with MR at a median of 4.9 hours (interquartile range, 2.9-21.1 hours). With the volumetric-subtraction technique, 5 patients (14.7%; 95% CI, 0.05%-0.31%) had infarct growth exceeding mismatch volume, 11 patients (32.0%) had no mismatch and, among these, 3 (27.3%) had infarct growth (median volume, 2.2 mL; interquartile range, 1.0-6.5 mL). All patients had mismatch volume identified by coregistration method that was greater than infarct growth volume. The proportion of this volume salvaged was 77.7% (interquartile range, 63.0%-98.9%).
Conclusions:
The illogical finding of infarct growth volume being greater than the presence of mismatch volume can be explained by the presence of "hidden mismatch," which may be detected by coregistration methods.
Insights
Hidden mismatch in ischemic stroke, detected by coregistration, explains infarct growth beyond initial imaging. This finding improves understanding of tissue at risk and salvageable tissue in stroke patients.
Area of Science:
- Neurology
- Radiology
- Medical Imaging
Background:
- Ischemic stroke involves tissue at risk, identified by MR perfusion-weighted imaging (PWI) and diffusion-weighted imaging (DWI) mismatch.
- Infarct growth typically occurs within the mismatch area, but discrepancies have been reported.
- Undetected "hidden mismatch" may explain observed infarct growth exceeding apparent PWI/DWI mismatch.
Purpose of the Study:
- To investigate the hypothesis that "hidden mismatch" is detectable using coregistration techniques.
- To explain instances where infarct growth appears to exceed the initially identified PWI/DWI mismatch.
- To quantify salvageable tissue using coregistration methods in ischemic stroke.
Main Methods:
- Performed MR PWI/DWI within 48 hours of stroke onset and T2-weighted imaging at 3 months.
- Defined volumetric-subtraction mismatch as PWI minus DWI volume; infarct growth as T2 minus DWI volume.
- Quantified coregistration mismatch as PWI not overlapped by DWI and calculated mismatch salvage.
Main Results:
- Thirty-four patients were analyzed, with MR scans at a median of 4.9 hours post-stroke.
- Volumetric-subtraction showed infarct growth exceeding mismatch in 14.7% of patients; 32.0% had no initial mismatch, with 27.3% of those showing infarct growth.
- Coregistration identified mismatch volume greater than infarct growth in all patients, with a median salvage proportion of 77.7%.
Conclusions:
- The "hidden mismatch" concept, detectable by coregistration, resolves the paradox of infarct growth exceeding apparent PWI/DWI mismatch.
- Coregistration techniques enhance the identification of tissue at risk and improve the assessment of salvageable brain tissue in ischemic stroke.
- This refined understanding of mismatch is crucial for accurate prognostication and treatment decisions in stroke management.
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