Vessel diameters of 14 basal cerebral arteries assessed in 1000 digital subtraction angiographies

Area of Science:

• Neurology
• Radiology
• Medical Imaging

Background:

• Normative values for intracranial vessel size are difficult to establish.
• Factors like gender, height, weight, and cerebrovascular diseases influence vessel diameters.
• Cerebral angiography is typically reserved for severe conditions, complicating the definition of physiological values.

Purpose of the Study:

• To approximate "normal" values for intracranial vessel size.
• To create a comprehensive dataset of cerebral angiographic measurements.
• To enable the computation of intraindividual indices and train machine learning models.

Main Methods:

• Analysis of over 1000 contemporary cerebral angiographies from a single neurovascular center.
• Recording of diameters for 14 basal cerebral arteries, patient age, gender, and underlying disease.
• Utilized SPSS 29 (IBM) for data management of 1010 digital subtraction angiographies.

Main Results:

• A significant difference (p < 0.001) was found in the size of the left carotid artery between male and female patients.
• Male patients had a larger average left carotid artery size (3.23 mm) compared to female patients (3.09 mm).
• The dataset provides detailed measurements for statistical analysis and potential correlations.

Conclusions:

• The developed dataset offers a valuable resource for approximating normative intracranial vessel sizes.
• It can be used to compute intraindividual indices for specific diseases, aiding in the assessment of conditions like cerebral aneurysms.
• The dataset is suitable for training machine learning algorithms to predict neurological events such as ischemic stroke or cerebral hemorrhage.