Using arterial spin labeling to measure cerebrovascular reactivity in Moyamoya disease: Insights from simultaneous PET/MRI.
Moss Y ZhaoAudrey P FanDavid Yen-Ting ChenYosuke IshiiMohammad Mehdi KhalighiMichael MoseleyGary K SteinbergGreg ZaharchukPublished in: Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism (2022)
Cerebrovascular reactivity (CVR) reflects the CBF change to meet different physiological demands. The reference CVR technique is PET imaging with vasodilators but is inaccessible to most patients. DSC can measure transit time to evaluate patients suspected of stroke, but the use of gadolinium may cause side-effects. Arterial spin labeling (ASL) is a non-invasive MRI technique for CBF measurements. Here, we investigate the effectiveness of ASL with single and multiple post labeling delays (PLD) to replace PET and DSC for CVR and transit time mapping in 26 Moyamoya patients. Images were collected using simultaneous PET/MRI with acetazolamide. CVR, CBF, arterial transit time (ATT), and time-to-maximum (Tmax) were measured in different flow territories. Results showed that CVR was lower in occluded regions than normal regions (by 68 ± 12%, 52 ± 5%, and 56 ± 9%, for PET, single- and multi-PLD PCASL, respectively, all p < 0.05). Multi-PLD PCASL correlated slightly higher with PET (CCC = 0.36 and 0.32 in affected and unaffected territories respectively). Vasodilation caused ATT to reduce by 4.5 ± 3.1% (p < 0.01) in occluded regions. ATT correlated significantly with Tmax (R 2 > 0.35, p < 0.01). Therefore, multi-PLD ASL is recommended for CVR studies due to its high agreement with the reference PET technique and the capability of measuring transit time.
Keyphrases
- pet imaging
- end stage renal disease
- computed tomography
- newly diagnosed
- pet ct
- chronic kidney disease
- magnetic resonance imaging
- ejection fraction
- peritoneal dialysis
- prognostic factors
- contrast enhanced
- randomized controlled trial
- systematic review
- machine learning
- atrial fibrillation
- pulmonary embolism
- magnetic resonance
- mass spectrometry
- high resolution
- density functional theory
- blood brain barrier
- convolutional neural network
- cerebral ischemia