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Related Experiment Video

Updated: Jun 29, 2026

Optimized System for Cerebral Perfusion Monitoring in the Rat Stroke Model of Intraluminal Middle Cerebral Artery Occlusion

Optimized System for Cerebral Perfusion Monitoring in the Rat Stroke Model of Intraluminal Middle Cerebral Artery Occlusion

Published on: February 17, 2013

Dynamic CTA-Derived Perfusion Maps Predict Final Infarct Volume: The Simple Perfusion Reconstruction Algorithm.

C C McDougall^1,2,3,4,5, L Chan⁴, S Sachan⁴

¹From the Department of Clinical Neurosciences (C.C.M., R.G.S., B.K.M., A.M.D., M.D.H., C.D.d., P.A.B.), Calgary Stroke Program.

AJNR. American Journal of Neuroradiology

|October 2, 2020

Summary

This summary is machine-generated.

The Simple Reconstruction Algorithm (SPIRAL) from multiphase CTA accurately predicts infarct core volume, offering a viable alternative to CT Perfusion (CTP) for stroke treatment decisions.

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Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

Area of Science:

Neuroradiology
Medical Imaging
Stroke Imaging

Background:

CT Perfusion (CTP) is standard for stroke infarct core measurement.
Cine CTP has limitations that can be addressed by alternative methods.
Multiphase CT Angiography (CTA) offers potential for improved infarct core assessment.

Purpose of the Study:

To evaluate the Simple Reconstruction Algorithm (SPIRAL) derived from multiphase CTA.
To compare SPIRAL's accuracy against CTP parameters in predicting 24-hour infarct core volume.
To assess SPIRAL as a potential surrogate for CTP in stroke imaging.

Main Methods:

Seventy-two patients with successful reperfusion underwent NCCT, multiphase CTA, CTP, and 24-hour DWI.
Receiver operator characteristic (ROC) curves were generated for patient-level and cohort-level analysis.
Bland-Altman analysis compared infarct core volumes from SPIRAL, CTP-time-to-maximum, and final DWI.

Main Results:

SPIRAL maps showed comparable accuracy to CTP-time-to-maximum for infarct core prediction across different patient groups and analysis levels.
SPIRAL demonstrated slightly higher, though not statistically significant, area under the ROC curve compared to CTP parameters.
Bland-Altman analysis indicated similar limits of agreement between SPIRAL and CTP-time-to-maximum when compared to 24-hour DWI.

Conclusions:

Perfusion maps generated using SPIRAL from temporally sampled helical CTA are accurate surrogates for infarct core.
SPIRAL presents a promising alternative to traditional CTP for stroke imaging and treatment planning.
This technique may overcome limitations associated with cine CTP technology.