Keywords:
Ischaemia / Infarction, Acute, Computer Applications-Detection, diagnosis, CT-Quantitative, CNS
Authors:
K. Endo, K. Suzuki, E. Okaniwa, H. Hashimoto, K. Abe, S. Sakai; Tokyo/JP
DOI:
10.26044/ecr2019/C-1722
Methods and materials
We retrospectively investigated 6 consecutive cases of suspected AIS,
including 4 with penumbra;16 auto-segmented areas of each middle cerebral artery territory were categorized into normal tissue,
acute ischemic lesion,
chronic ischemic lesion,
and old infarction at the final diagnosis.
We calculated the CBF,
cerebral blood volume (CBV),
mean transit time (MTT),
and time to peak (TTP),
excluding the infarcted lesions.
Perfusion scan was performed on a 320-rows area detector CT (Aquilion ONE,
Canon Medical Systems,
Otawara,
Japan) with rotation speed 0.5 s/rotation and scan intervals of 3 s for the arterial phase and 5 s for the venous phase.
We used 40 mL of contrast media at 4 mL/s.
Tube voltage was 80 kVp,
and tube current was 120 mA.
The scan dose in volume CT dose index was 80 mGy,
and the dose-length product was 1110 mGy•cm. Perfusion analysis was performed on an image workstation (Vitrea,
Canon Medical Systems,
Otawara,
Japan).
Data segmentation in either the anterior cerebral artery or the posterior cerebral artery territories was not used.
A perfusion map of right middle cerebral artery occlusion in a representative patient is shown in Figure 1 and 2.
The assessment was performed by comparing quantitative values between the rSVD and Bayesian algorithms with the t-test using JMP Pro 11 (SAS Institute,
Cary,
NC,
USA).
Informed consent was obtained from all patients prior to study enrollment,
and permission was granted by the institutional ethics committee.