Journal of clinical ultrasound : JCU · 2018
Pattern of cerebral blood flow and the interrelationship of vascular parameters of transcranial Doppler imaging in children with sickle cell disease.
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Asbeutah Akram M, AlMajran Abdullah A, Adekile Adekunle
Аннотация
PURPOSE: We assessed the pattern of cerebral blood flow and the relationship between the different transcranial Doppler imaging (TCDI) vascular parameters in children with sickle cell disease (SCD).
METHODS: Forty-three SCD pediatric patients with a stable condition (21 HbSS, 19 HbSβ0 Thal, and 3 HbSD), aged 10.1 ± 3.9 years were studied. A control group of 26 with age and sex-matched, were included for comparison. TCDI scanning was carried out using a phased array transducer of 1-3 MHz through the trans-temporal window. Peak systolic velocity (PSV), end diastolic velocity (EDV), time-averaged mean of the maximum velocity (TAMxV), pulsatility index (PI), and resistive index (RI) were in the anterior circle of Willis vessels and posterior cerebral artery.
RESULTS: The highest mean ± SD values for the middle cerebral artery PSV, EDV, TAMxV, PI, and RI were 130.30 + 26.5, 145.0 ± 21.9; 58.60 + 13.70, 67.90 ± 13.3; 84.90 + 14.50, 94.80 ± 17.9; 0.95 + 0.20, 0.80 ± 0.20; 0.58 + 0.09, 0.50 ± 0.10 in the control and SCD groups, respectively. Independent t-test showed significant difference (P < .05) for all vascular parameters in all vessels in each side between both groups. There was a positive significant correlation between TAMxV, PSV, and EDV (P = .001, r = .96), and a negative significant correlation between TAMxV and PI in the SCD group (P = .001, r = -.46) but not in the control group (P > .05, r = -.62).
CONCLUSIONS: There was a direct relationship between TAMxV and PSV and EDV, and an inverse relationship between TAMxV and PI in a group of SCD patients with normal TCDI values.
METHODS: Forty-three SCD pediatric patients with a stable condition (21 HbSS, 19 HbSβ0 Thal, and 3 HbSD), aged 10.1 ± 3.9 years were studied. A control group of 26 with age and sex-matched, were included for comparison. TCDI scanning was carried out using a phased array transducer of 1-3 MHz through the trans-temporal window. Peak systolic velocity (PSV), end diastolic velocity (EDV), time-averaged mean of the maximum velocity (TAMxV), pulsatility index (PI), and resistive index (RI) were in the anterior circle of Willis vessels and posterior cerebral artery.
RESULTS: The highest mean ± SD values for the middle cerebral artery PSV, EDV, TAMxV, PI, and RI were 130.30 + 26.5, 145.0 ± 21.9; 58.60 + 13.70, 67.90 ± 13.3; 84.90 + 14.50, 94.80 ± 17.9; 0.95 + 0.20, 0.80 ± 0.20; 0.58 + 0.09, 0.50 ± 0.10 in the control and SCD groups, respectively. Independent t-test showed significant difference (P < .05) for all vascular parameters in all vessels in each side between both groups. There was a positive significant correlation between TAMxV, PSV, and EDV (P = .001, r = .96), and a negative significant correlation between TAMxV and PI in the SCD group (P = .001, r = -.46) but not in the control group (P > .05, r = -.62).
CONCLUSIONS: There was a direct relationship between TAMxV and PSV and EDV, and an inverse relationship between TAMxV and PI in a group of SCD patients with normal TCDI values.