Feasibility of Flat Panel Detector CT in Perfusion Assessment of Brain Arteriovenous Malformations: Initial Clinical Experience.
M GarciaThomas W OkellM GloorMichael A ChappellPeter JezzardOliver BieriJames V ByrnePublished in: AJNR. American journal of neuroradiology (2017)
The different results from flat panel detector CT in various pathologies have provoked some discussion. Our aim was to assess the role of flat panel detector CT in brain arteriovenous malformations, which has not yet been assessed. Five patients with brain arteriovenous malformations were studied with flat panel detector CT, DSC-MR imaging, and vessel-encoded pseudocontinuous arterial spin-labeling. In glomerular brain arteriovenous malformations, perfusion was highest next to the brain arteriovenous malformation with decreasing values with increasing distance from the lesion. An inverse tendency was observed in the proliferative brain arteriovenous malformation. Flat panel detector CT, originally thought to measure blood volume, correlated more closely with arterial spin-labeling-CBF and DSC-CBF than with DSC-CBV. We conclude that flat panel detector CT perfusion depends on the time point chosen for data collection, which is triggered too early in these patients (ie, when contrast agent appears in the superior sagittal sinus after rapid shunting through the brain arteriovenous malformation). This finding, in combination with high data variability, makes flat panel detector CT inappropriate for perfusion assessment in brain arteriovenous malformations.
Keyphrases
- image quality
- contrast enhanced
- resting state
- computed tomography
- white matter
- dual energy
- magnetic resonance imaging
- functional connectivity
- cerebral ischemia
- magnetic resonance
- multiple sclerosis
- electronic health record
- newly diagnosed
- deep learning
- room temperature
- density functional theory
- blood brain barrier
- big data
- artificial intelligence
- prognostic factors
- machine learning
- data analysis
- molecular dynamics