Your browser doesn't support javascript.
loading
Impact of time interval on perfusion parameters in head and neck CTA combined with whole brain CT perfusion one-stop scanning / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 1095-1098, 2019.
Article in Chinese | WPRIM | ID: wpr-861317
ABSTRACT

Objective:

To explore the impact of time interval on perfusion parameters in head-neck CTA combined with one-stop scanning whole brain CT perfusion (CTP).

Methods:

Standard brain CTP data of 60 patients with acute cerebral ischemic stroke were analyzed retrospectively (standard group). On the brain CTP images of standard group, one group of scanning data were removed before and after the peak period of the artery, and the interval between the anterior and posterior intervals increased to 4.5 s. Head and neck CTA combined with whole brain CTP one-stop scanning was simulated (simulation group). The mean absolute percentage error of perfusion parameters (cerebral blood flow [CBF], cerebral blood volume [CBV] and mean transit time [MTT]) between the standard group and the simulated group was calculated, and the correlation of perfusion parameter ratio (rCBF, rCBV, rMTT) between right and left gray matter, right and left white matter were analyzed.

Results:

The absolute percentage errors of basal nucleus CBF, CBV and MTT were all less than 10%. There was positive correlation of gray matter left and right rCBF (r=0.988, P<0.001), rCBV (r=0.963, P<0.001) and rMTT (r=0.983, P<0.001), also of white matter left and right rCBF (r=0.980, P<0.001), rCBV (r=0.957, P<0.001) and rMTT (r=0.986, P<0.001).

Conclusion:

The time interval between head-neck CTA combined with one-stop scanning whole brain CTP has little impact on perfusion parameters.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2019 Type: Article

Similar

MEDLINE

...
LILACS

LIS

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2019 Type: Article