Yue Ma1,2, Maria Aristova1, Sameer Ansari1,3,4, Ann Ragin1, Michael Markl1, and Susanne Schnell1
1Radiology, Northwestern University, Chicago, IL, United States, 2Radiology, Shengjing Hospital of China Medical University, Shenyang, China, 3Neurology, Northwestern University, Chicago, IL, United States, 4Neurosurgery, Northwestern University, Chicago, IL, United States
Synopsis
Symptomatic
intracranial atherosclerotic disease (ICAD) patients who present with stenosis
and hemodynamic abnormalities are at higher risk of recurrent stroke. We
propose a methodology that creates patient-specific ‘heat maps’ of abnormal
hemodynamic parameters, based on intracranial dual-venc 4D flow MRI. The heat
maps were created by detecting and highlighting outlier measurements from 95% confidence
interval of normative parameter estimates in healthy controls. Elevated peak
velocity (PV) was found in 75% of patients and 58.3% of them with abnormal PV
in the uninvolved hemisphere. This novel approach to characterize intracranial
hemodynamic impact may allow making patient-specific risk stratification and treatment
strategies.
INTRODUCTION
Intracranial
atherosclerotic disease (ICAD) is a well-established etiology of ischemic
stroke.1 While stenosis severity has long been considered the primary
basis for treatment decisions,2 there is increasing recognition for
a potentially critical role of abnormal intracranial hemodynamics in ischemic
stroke recurrence.3 Hemodynamic abnormalities in ICAD patients have
been associated with increased risk of recurrent ischemic stroke within one
year despite optimal medical treatment .4 We have proposed an
approach using dual-venc 4D flow MRI for generating patient-specific ‘heat maps’
that facilitate individualized assessment of intracranial hemodynamic abnormalities.METHODS
Intracranial dual-venc 4D flow MRI5 was
acquired in 16 ICAD patients (12M, 62±14Y) with mild (<50%), moderate
(50%-69%), or severe (>70%) intracranial stenosis and 59 age-matched healthy
subjects (32M, 48±14Y) on a 3T scanner (Skyra or Prisma, Siemens, Germany). Sequence
parameters are presented in Figure 1. 4D flow MRI data were corrected for
noise, velocity aliasing, and phase offset errors, and a 3D phase-contrast MR
angiogram (PC-MRA) of cerebral vessels was calculated using home-built Matlab
software (MathWorks, MA, USA).6 An in-house Matlab tool (MathWorks,
MA, USA) was used to segment cerebral vessels in the PC-MRA and quantify hemodynamic
parameters (including peak velocity (PV), net flow and flow rate(FR)) in each artery
of circle of Willis (COW).7 Flow values in major intracranial
arteries were normalized using total cerebral blood flow (sum of left and right
intracranial carotid and vertebral arteries). Hemodynamic measures from the
healthy controls were used to derive normative parameter estimates using
polynomial fit as a function of age for males and females separately. An
individualized hemodynamic heat map was created on the basis of an intracranial
vascular diagram by detecting outlier measurements from the 95% confidence
interval (CI) of the normative values in healthy controls (Figure 2). Vessels
were PV or FR for the individual ICAD patient was higher than the 95% CI of normative
values were highlighted in red. Vessels were PV or FR for the individual ICAD
patient was lower than the 95% CI of normative values were highlighted in blue.
The cut-off value for the individualized analysis of 95% CI was chosen to
represent hemodynamic parameter values outside of the normative parameter
estimates using a polynomial fit of age. Vessels that were within the normal range
were delineated in gray. Furthermore, the percent difference of net flow, FR
and PV in each COW artery compared to reference values were also displayed in the
heat map.RESULTS
Figure
3 shows results for ICAD patients. 6.2% of stenotic arteries and 31.25% of
patients showed abnormal FR. 62.5% of stenotic arteries (median increase 7.82%,
IQR: 21.91%) and 75% of patients showed abnormal PV. This data was visualized
by the heat maps in Figure 4. Patients generally showed elevated PV in at least
one artery. Whereas all patients expressed elevated PV in the stenotic hemisphere,
in 58.3% this was also evident in uninvolved hemispheric arteries. Among three
patients with compensatory collateral circulation, two patients had more than three
intracranial arteries with elevated PV in non-stenotic vessels. DISCUSSION
This study presents proof of concept for
standardized heat map visualization of abnormal intracranial hemodynamics in ICAD
patients. Heat maps were obtained by comparing hemodynamic parameters of intracranial
arteries with normative parameter estimates using the polynomial fit of each
parameter relative to age in healthy controls. Results for 16 ICAD patients showed
that less than 10% of stenotic arteries had abnormal FR, which was due to compensation
for reduced flow by COW anastomosis. PV was a more effective and sensitive
marker than FR, consistent with previous results7. 75%
of ICAD patients had elevated PV in intracranial vessels, and 90% had elevated
PV in more than one artery, including non-stenotic vessels. When severe
stenosis was accompanied by collateral circulation, up to 6 vessels showed elevated
PV. This suggests that stenosis in ICAD patients not only causes hemodynamic
changes in the stenotic vessels, but also in intracranial
non-stenotic vessels. These findings underscore the clinical imperative of
conducting a comprehensive assessment of intracranial hemodynamics in ICAD patients.8 These findings support the potential diagnostic utility of presenting 4D flow
MRI results in individual patients using heat maps. These maps, which reflect
hemodynamic parameters and patterns of abnormality in specific vessels,
facilitate clinical interpretation. Further work will include
detailed analysis of sensitivity and specificity for varying thresholds in
larger ICAD studies. CONCLUSION
This
pilot study presents a methodology to create heat maps for visualization and
quantification of abnormal intracranial hemodynamic parameters in individual
ICAD patients. This novel approach to characterize intracranial hemodynamics
allows clinicians to immediately understand the hemodynamic impact of the
stenosis and to gain unique insights regarding the heterogeneous expression of
ICAD. Heat maps could be leveraged in the future to guide patient-specific risk
stratification and treatment strategies for recurrent stroke.Acknowledgements
We
gratefully acknowledge the support of the American Heart Association (AHA 16SDG30420005),
and the NIH (NIH F30 HL140910, NIH 1R21NS106696-01).References
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