» Articles » PMID: 22187626

Acute Ischemic Stroke: Infarct Core Estimation on CT Angiography Source Images Depends on CT Angiography Protocol

Overview
Journal Radiology
Specialty Radiology
Date 2011 Dec 22
PMID 22187626
Citations 34
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: To test whether the relationship between acute ischemic infarct size on concurrent computed tomographic (CT) angiography source images and diffusion-weighted (DW) magnetic resonance images is dependent on the parameters of CT angiography acquisition protocols.

Materials And Methods: This retrospective study had institutional review board approval, and all records were HIPAA compliant. Data in 100 patients with anterior-circulation acute ischemic stroke and large vessel occlusion who underwent concurrent CT angiography and DW imaging within 9 hours of symptom onset were analyzed. Measured areas of hyperintensity at acute DW imaging were used as the standard of reference for infarct size. Information regarding lesion volumes and CT angiography protocol parameters was collected for each patient. For analysis, patients were divided into two groups on the basis of CT angiography protocol differences (patients in group 1 were imaged with the older, slower protocol). Intermethod agreement for infarct size was evaluated by using the Wilcoxon signed rank test, as well as by using Spearman correlation and Bland-Altman analysis. Multivariate analysis was performed to identify predictors of marked (≥20%) overestimation of infarct size on CT angiography source images.

Results: In group 1 (n=35), median hypoattenuation volumes on CT angiography source images were slightly underestimated compared with DW imaging hyperintensity volumes (33.0 vs 41.6 mL, P=.01; ratio=0.83), with high correlation (ρ=0.91). In group 2 (n=65), median volume on CT angiography source images was much larger than that on DW images (94.8 vs 17.8 mL, P<.0001; ratio=3.5), with poor correlation (ρ=0.49). This overestimation on CT angiography source images would have inappropriately excluded from reperfusion therapy 44.4% or 90.3% of patients eligible according to DW imaging criteria on the basis of a 100-mL absolute threshold or a 20% or greater mismatch threshold, respectively. Atrial fibrillation and shorter time from contrast material injection to image acquisition were independent predictors of marked (≥20%) infarct size overestimation on CT angiography source images.

Conclusion: CT angiography protocol changes designed to speed imaging and optimize arterial opacification are associated with significant overestimation of infarct size on CT angiography source images.

Citing Articles

Is there a simple and accessible solution to improve acute infarct core imaging? The utility of steady-state CT angiographic source images obtained from a delayed phase acquisition.

Mortimer A, Flood R, Dunkerton S, McClelland S, Minks D, Crossley R Interv Neuroradiol. 2025; :15910199251315790.

PMID: 39871790 PMC: 11775942. DOI: 10.1177/15910199251315790.


The CT collateral map: collateral perfusion estimation and baseline lesion assessment after acute anterior circulation ischemic stroke.

Ki H, Roh H, Kwak J, Kim I, Park J, Jeon Y Radiol Med. 2024; 130(2):235-247.

PMID: 39661247 PMC: 11870971. DOI: 10.1007/s11547-024-01941-5.


Automated detection of early signs of irreversible ischemic change on CTA source images in patients with large vessel occlusion.

Mak A, Matouk C, Avery E, Behland J, Haider S, Frey D PLoS One. 2024; 19(6):e0304962.

PMID: 38870240 PMC: 11175522. DOI: 10.1371/journal.pone.0304962.


Rapid identification and prognosis evaluation by dual-phase computed tomography angiography for stroke patients with a large ischemic region in the anterior circulation treated with endovascular thrombectomy.

E Y, Jiang H, Yu W, Chen W, He H Front Neurol. 2024; 15:1402003.

PMID: 38835999 PMC: 11148382. DOI: 10.3389/fneur.2024.1402003.


Simulating Cerebral Edema and Ischemia After Traumatic Acute Subdural Hematoma Using Triphasic Swelling Biomechanics.

Basilio A, Zeng D, Pichay L, Ateshian G, Xu P, Maas S Ann Biomed Eng. 2024; 52(10):2818-2830.

PMID: 38532172 DOI: 10.1007/s10439-024-03496-y.


References
1.
Lev M, Segal A, Farkas J, Hossain S, Putman C, Hunter G . Utility of perfusion-weighted CT imaging in acute middle cerebral artery stroke treated with intra-arterial thrombolysis: prediction of final infarct volume and clinical outcome. Stroke. 2001; 32(9):2021-8. DOI: 10.1161/hs0901.095680. View

2.
Hermier M, Nighoghossian N, Adeleine P, Berthezene Y, Derex L, Yilmaz H . Early magnetic resonance imaging prediction of arterial recanalization and late infarct volume in acute carotid artery stroke. J Cereb Blood Flow Metab. 2003; 23(2):240-8. DOI: 10.1097/01.WCB.0000043340.09081.7E. View

3.
Yoo A, Verduzco L, Schaefer P, Hirsch J, Rabinov J, Gonzalez R . MRI-based selection for intra-arterial stroke therapy: value of pretreatment diffusion-weighted imaging lesion volume in selecting patients with acute stroke who will benefit from early recanalization. Stroke. 2009; 40(6):2046-54. PMC: 2709767. DOI: 10.1161/STROKEAHA.108.541656. View

4.
Wang Y, Liao X, Zhao X, Wang C, Liu L, Zhou Y . Imaging-based thrombolysis trial in acute ischemic stroke-II (ITAIS-II). Int J Stroke. 2009; 4(1):49-53. DOI: 10.1111/j.1747-4949.2009.00245.x. View

5.
Schaefer P, Hassankhani A, Putman C, Sorensen A, Schwamm L, Koroshetz W . Characterization and evolution of diffusion MR imaging abnormalities in stroke patients undergoing intra-arterial thrombolysis. AJNR Am J Neuroradiol. 2004; 25(6):951-7. PMC: 7975652. View