Sickle cell disease (SCD) is associated with chronic anaemia and oxygen desaturation, which elevates cerebral blood flow (CBF) and increases risk of stroke. Cerebral haemodynamics are abnormal and techniques for assessing CBF using a single inflow-time may not be sufficient. This study investigated haemodynamic parameters from a multi-inflow-time acquisition in younger and older children with SCD and healthy controls. CBF was elevated globally in both groups of patients, but in older children, patients had significantly shorter bolus arrival time. This may indicate increasing disparity between patients and controls with age and may be related to longer standing burden of disease.
Thirty-nine patients and 16 sibling controls (split into younger children [8-12 years] and older children [13-18 years]) were recruited from three London sites and underwent MRI and cognitive testing at UCL Institute of Child Health between 2012-2013 (Figure 1). In patients, haematocrit (Hct) was collected from nearest full blood count and SpO2 was acquired on day of MRI from a finger probe. Oxygen content12 was estimated using13:
$$$ Oxygen content = (1.34 x Haemoglobin x SpO2) + (0.003 x pO2) $$$
where pO2 = partial pressure of oxygen, which is assumed to be 100 torr on room air. MRI data were acquired on a 1.5T Siemens Avanto with 40mT/m gradients and 32-channel receive headcoil. A flow-sensitive alternating inversion recovery (FAIR) pulsed-ASL sequence was acquired, with background suppression and 3D single shot GRASE readout, using 6 inflow times ranging 0.2-2.2 seconds in 0.4 second intervals. An inversion-recovery sequence was used to calculate voxel-wise values of T1 relaxation time and M0. A value of T1blood is required during the ASL model fitting and estimated values of T1blood were calculated for each subject based on measured Hct and SpO214. Using the Buxton kinetic model15, mean ASL difference signal (control-label) in the anterior, middle and posterior arterial territories (Figure 2) was used to calculate CBF, BAT and τ in each subject. An analysis of covariance model was performed to control for age, gender and the interaction between age and gender in patients vs. controls separately in younger children and older children. Partial correlations were carried out between oxygen content and ASL fitted parameters, correcting for age and gender.
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