Noninvasive measurement of pressure gradient across a coronary stenosis using phase contrast (PC)-MRI: A feasibility study

PURPOSE

To investigate the feasibility of blood pressure difference measurement, ΔP, across the coronary artery using phase contrast (PC)-MRI for potential noninvasive assessment of the functional significance of coronary artery stenosis.

METHODS

Three-directional velocities in the coronary arteries acquired using 2D-PC-MRI were used with the Navier-Stokes equations to derive ΔP. Repeat phantom studies were performed to assess the reproducibility of flow velocity and ΔP. ΔP derived using PC-MRI (ΔP_MR ) and that obtained using pressure transducer (ΔP_PT ) were compared. Reproducibility of coronary flow velocity was assessed in healthy controls (n = 11). Patients with suspected coronary artery disease (n = 6) were studied to evaluate the feasibility of ΔP_MR measurement across a coronary stenosis.

RESULTS

Phantom: Good overall reproducibility of flow velocity and ΔP measurements and excellent correlation (ΔP_MR vs ΔP_PT ) was observed: intraclass correlation (ICC) of 0.95(V_z ), 0.72(V_x ), 0.73(V_y ), and 0.87(ΔP_MR ) and R²  = 0.94, respectively. Human: Good reproducibility of coronary flow velocity was observed: ICC of 0.94/0.95(V_z ), 0.76/0.74(V_x ), and 0.80/0.77(V_y ) at cardiac phase 1/2. Significant (p = 0.025) increase in ΔP_MR was observed in patients (6.40 ± 4.43 mmHg) versus controls (0.70 ± 0.57 mmHg).

CONCLUSION

ΔP_MR in the coronary arteries is feasible. Upon further validation using the invasive measure, ΔP_MR has the potential for noninvasive assessment of coronary artery stenosis. Magn Reson Med 77:529-537, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

In vivo noninvasive 4D pressure difference mapping in the human aorta: phantom comparison and application in healthy volunteers and patients

In this work, we present a systematic phantom comparison and clinical application of noninvasive pressure difference mapping in the human aorta based on time-resolved 3D phase contrast data. Relative pressure differences were calculated based on integration and iterative refinement of pressure gradients derived from MR-based three-directional velocity vector fields (flow-sensitive 4D MRI with spatial/temporal resolution ∼ 2.1 mm(3)/40 ms) using the Navier-Stokes equation. After in vitro study using a stenosis phantom, time-resolved 3D pressure gradients were systematically evaluated in the thoracic aorta in a group of 12 healthy subjects and 6 patients after repair for aortic coarctation. Results from the phantom study showed good agreement with expected values and standard methods (Bernoulli). Data of healthy subjects showed good intersubject consistency and good agreement with the literature. In patients, pressure waveforms showed elevated peak values. Pressure gradients across the stenosis were compared with reference measurements from Doppler ultrasound. The MRI findings demonstrated a significant correlation (r = 0.96, P < 0.05) but moderate underestimation (14.7% ± 15.5%) compared with ultrasound when the maximum pressure difference for all possible paths connecting proximal and distal locations of the stenosis were used. This study demonstrates the potential of the applied approach to derive additional quantitative information such as pressure gradients from time-resolved 3D phase contrast MRI.

Phase-contrast MR studies of CSF flow rate in the cerebral aqueduct and cervical subarachnoid space with correlation-based segmentation

PURPOSE

Accurate measurement of cerebrospinal fluid (CSF) flow rate elucidates pathophysiological changes in the intracranial environment and is thus clinically useful. We investigated the feasibility of correlation coefficient (CC) analysis for extracting CSF lumens in the cerebral aqueduct and cervical subarachnoid space (SAS) to quantify CSF flow rate and net flow from data acquired by phase-contrast magnetic resonance imaging (PC-MRI).

METHODS

First, in phantom studies on pulsatile flow using a 1.5-tesla MR imaging system, we investigated the accuracy of CC analysis and used a statistical approach to determine an optimal threshold value for extracting the CSF lumens (CC(min)). Second, we performed phantom studies on constant flow with various flow rates to estimate the accuracy of low flow measurement by PC-MRI. Finally, in 6 healthy male volunteers aged 24 +/- 2 years, we estimated the CSF lumen areas, net flows, and peak flow rates in the cerebral aqueduct and cervical SAS using CC analysis with the optimal CC(min) value determined in phantom studies. Three observers analyzed results to compare reproducibility of CC analysis with that of manual segmentation.

RESULTS

The optimal CC(min) value for CC analysis was 0.41 for a matrix measuring 256 x 256. The CSF lumen area extracted by CC analysis was 6.15 +/- 2.52 mm(2), and the net flow in the cerebral aqueduct was 0.74 +/- 0.38 mL/min; in the cervical SAS, lumen area was 135.60 +/- 17.94 mm(2) and net flow, 12.55 +/- 12.67 mL/min. The reproducibility of CSF lumen extraction was better by CC analysis than manual segmentation.

CONCLUSION

CC analysis offers a quick and reproducible method for segmenting CSF lumens and calculating CSF flow rate.