Blood Flow Volume Measurement in Cervical and Intracranial Arteries using Quantitative Magnetic Resonance Angiography and Duplex Sonography (Bocaccia) - A Prospective Observational Study

Association between Bilateral Vertebral Artery Blood Flow Changes and Posterior Circulation Infarction in Patients with Severe Intracranial Stenosis

INTRODUCTION

The objective of this study was to explore the association between net vertebral artery flow volume (NVAFV), calculated through color duplex ultrasonography, and posterior circulation infarction (PCI) in patients with severe intracranial vertebral artery (VA) stenosis.

METHODS

234 patients with severe intracranial VA stenosis (≥70%) were categorized into the PCI group (n = 139) and the non-PCI group (n = 95) based on cranial MRI diagnosis. The correlation between NVAFV and CT perfusion data was analyzed, and the occurrence of PCI under diverse PCI mechanisms was also investigated. Multifactorial logistic regression and stratified analysis was performed to analyze the association between NVAFV and PCI. Lastly, generalized additive models and smooth curve fitting was utilized to outline relationship between NVAFV and PCI.

RESULTS

NVAFV showed a significant correlation with cerebral blood flow, mean transmit time, and time to peak. In the large artery atherosclerosis mechanism, a reduction in NVAFV correlated with a gradual rise in PCI cases (p = 0.002), while this trend lacked significance in the branch artery occlusive disease mechanism (p = 0.993). In the fully adjusted model, each 10 mL/min increase in NVAFV reduced PCI incidence by 11% (OR 0.890, 95% CI 0.840-0.943, p < 0.001), Sensitivity analysis showed similar results; NVAFV presented different PCI risks among various glucose level subgroups, the OR (95% CI) for PCI was 0.788 (0.684, 0.906) in low-glucose group (T1), 0.968 (0.878, 1.066) in moderate-glucose group (T2), and 0.886 (0.801, 0.979) in high-glucose group (T3). Smooth curve fitting demonstrated a linear negative association between NVAFV and PCI.

CONCLUSION

NVAFV demonstrated an association with PCI in patients with severe intracranial VA stenosis, it can serve as a reference for identifying high-risk populations of PCI; however, it must be considered in combination with glucose.

Cerebral hemodynamic response to generalized anxiety disorder

BACKGROUND

Generalized anxiety disorder (GAD) is the least studied among anxiety disorders. Therefore, we aimed to compare the cervical blood flow velocities using doppler ultrasonography in untreated chronic GAD patients and healthy individuals.

MATERIAL AND METHODS

In this study, thirty-eight GAD patients were enrolled. And thirty-eight healthy volunteers were recruited as control participants. The common carotid artery (CCA), internal carotid artery (ICA), and vertebral artery (VA) of both sides were explored. Also, we trained machine learning models based on cervical arteries characteristics to diagnose GAD patients.

RESULTS

Patients with chronic untreated GAD showed a significant increase in peak systolic velocity (PSV) bilaterally in the CCA and the ICA (P value < 0.05). In GAD patients, the end-diastolic velocity (EDV) of bilateral CCA, VA, and left ICA was significantly decreased. The Resistive Index (RI) showed a significant increase in all patients with GAD. Moreover, the Support Vector Machine (SVM) model showed the best accuracy in identifying anxiety disorder.

CONCLUSION

GAD is associated with hemodynamic alterations of extracranial cervical arteries. With a larger sample size and more generalized data, it is possible to make a robust machine learning-based model for GAD diagnosis.