Hemodynamic imaging parameters in brain metastases patients - Agreement between multi-delay ASL and hypercapnic BOLD.

Autor: van Grinsven EE; Department of Neurology & Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands., Guichelaar J; Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands., Philippens ME; Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands., Siero JC; Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.; Spinoza Center for Neuroimaging, Amsterdam, Netherlands., Bhogal AA; Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Jazyk: angličtina
Zdroj: Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism [J Cereb Blood Flow Metab] 2023 Dec; Vol. 43 (12), pp. 2072-2084. Date of Electronic Publication: 2023 Aug 26.
DOI: 10.1177/0271678X231196989
Abstrakt: Arterial spin labeling (ASL) MRI is a routine clinical imaging technique that provides quantitative cerebral blood flow (CBF) information. A related technique is blood oxygenation level-dependent (BOLD) MRI during hypercapnia, which can assess cerebrovascular reactivity (CVR). ASL is weighted towards arteries, whereas BOLD is weighted towards veins. Their associated parameters in heterogeneous tissue types or under different hemodynamic conditions remains unclear. Baseline multi-delay ASL MRI and BOLD MRI during hypercapnia were performed in fourteen patients with brain metastases. In the ROI analysis, the CBF and CVR values were positively correlated in regions showing sufficient reserve capacity (i.e. non-steal regions, r rm  = 0.792). Additionally, longer hemodynamic lag times were related to lower baseline CBF ( r rm  = -0.822) and longer arterial arrival time (AAT; r rm  = 0.712). In contrast, in regions exhibiting vascular steal an inverse relationship was found with higher baseline CBF related to more negative CVR ( r rm  = -0.273). These associations were confirmed in voxelwise analyses. The relationship between CBF, AAT and CVR measures seems to be dependent on the vascular status of the underlying tissue. Healthy tissue relationships do not hold in tissues experiencing impaired or exhausted autoregulation. CVR metrics can possibly identify at-risk areas before perfusion deficiencies become visible on ASL MRI, specifically within vascular steal regions.
Competing Interests: Declaration of conflicting interestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: The APRICOT study described in the current manuscript, as well as the first author (Eva van Grinsven), were supported by research funding from the Dutch Cancer Society “Koningin Wilhelmina Fonds (KWF)” (#11110). Alex Bhogal is supported by a Dutch research council talent grant (NWO VENI: The ischemic fingerprint, [VI.VENI.194.056]. The funding sources had no role in conducting this research or preparation of this manuscript. No other declarations of interests apply.
Databáze: MEDLINE
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