Assessment of Cerebral Blood Flow Pulsatility and Cerebral Arterial Compliance With 4D Flow MRI
| Autor: | Anders Wahlin, Madelene Holmgren, Jan Malm, Anders Eklund, Tora Dunås |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Cerebral arteries Medical Engineering Pulsatility index 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Imaging Three-Dimensional Internal medicine medicine.artery medicine Humans Radiology Nuclear Medicine and imaging pulsatility index Prospective Studies circle of Willis Medicinteknik Original Research 4D flow MRI medicine.diagnostic_test business.industry Magnetic resonance imaging Cerebral Arteries Magnetic Resonance Imaging Compliance (physiology) Cerebral blood flow Flow (mathematics) Cerebrovascular Circulation Pulsatile Flow cerebral arterial compliance Cardiology Female business 2D PC‐MRI cerebrovascular resistance Blood Flow Velocity 2D PC-MRI Circle of Willis Head and Neck |
| Zdroj: | Journal of Magnetic Resonance Imaging |
| Popis: | Background Four‐dimensional flow magnetic resonance imaging (4D flow MRI) enables efficient investigation of cerebral blood flow pulsatility in the cerebral arteries. This is important for exploring hemodynamic mechanisms behind vascular diseases associated with arterial pulsations. Purpose To investigate the feasibility of pulsatility assessments with 4D flow MRI, its agreement with reference two‐dimensional phase‐contrast MRI (2D PC‐MRI) measurements, and to demonstrate how 4D flow MRI can be used to assess cerebral arterial compliance and cerebrovascular resistance in major cerebral arteries. Study Type Prospective. Subjects Thirty‐five subjects (20 women, 79 ± 5 years, range 70–91 years). Field Strength/Sequence 4D flow MRI (PC‐VIPR) and 2D PC‐MRI acquired with a 3T scanner. Assessment Time‐resolved flow was assessed in nine cerebral arteries. From the pulsatile flow waveform in each artery, amplitude (ΔQ), volume load (ΔV), and pulsatility index (PI) were calculated. To reduce high‐frequency noise in the 4D flow MRI data, the flow waveforms were low‐pass filtered. From the total cerebral blood flow, total PI (PItot), total volume load (ΔVtot), cerebral arterial compliance (C), and cerebrovascular resistance (R) were calculated. Statistical Tests Two‐tailed paired t‐test, intraclass correlation (ICC). Results There was no difference in ΔQ between 4D flow MRI and the reference (0.00 ± 0.022 ml/s, mean ± SEM, P = 0.97, ICC = 0.95, n = 310) with a cutoff frequency of 1.9 Hz and 15 cut plane long arterial segments. For ΔV, the difference was –0.006 ± 0.003 ml (mean ± SEM, P = 0.07, ICC = 0.93, n = 310) without filtering. Total R was 11.4 ± 2.41 mmHg/(ml/s) (mean ± SD) and C was 0.021 ± 0.009 ml/mmHg (mean ± SD). ΔVtot was 1.21 ± 0.29 ml (mean ± SD) with an ICC of 0.82 compared with the reference. PItot was 1.08 ± 0.21 (mean ± SD). Data Conclusion We successfully assessed 4D flow MRI cerebral arterial pulsatility, cerebral arterial compliance, and cerebrovascular resistance. Averaging of multiple cut planes and low‐pass filtering was necessary to assess accurate peak‐to‐peak features in the flow rate waveforms. Level of Evidence: 2 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2020;51:1516–1525. |
| Databáze: | OpenAIRE |
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