"An Analysis of Intracranial Aneurysm Detection and its Developments"
Detection of intracranial aneurysms presents a significant challenge in modern medicine, largely owed to the asymptomatic progression of these aneurysms during their development.Aneurysms historically grow at bifurcations of main arteries and the more significant their growth, the higher the likelihood for rupture.The contributor to the largest risk associated with Cerebral Aneurysms is the potential for consequences such as hemorrhagic stroke.In order to decrease the associated morbidity and mortality associated with these aneurysms, detection must occur early in the disease.Detection modalities for cerebral aneurysms fall into two sections: invasive and non-invasive imaging techniques.Invasive techniques include diagnostics such as Digital Subtraction Angiography (DSA), which is a method where a medical device is inserted in order to access body function.Imaging such as Magnetic Resonance Angiography (MRA) and Computed Tomography Angiography (CTA) are non-invasive, not requiring internal insertion but relying entirely on electromagnetic waves to scan the inner body.DSA is currently the most efficient aneurysm detection method, allowing vessels and aneurysms to be seen at the highest definition.However, CTAs are actually the most commonly used imaging technique due to reduced risk and cost.Researchers and healthcare providers continue to improve these diagnostic and screening methods to offer safer and more effective detection mechanisms.There are a multitude of detection methods in place, but the issue stems from the general population not taking advantage of these modalities.Advancements surrounding these methods offer the potential to enhance screening rates for aneurysms and improve overall detection.
Authors
- Yashwant Pathak
Institutions
- University of South Florida (US)
Publication Details
- Journal
- Journal of pharmacology & clinical research
- Published
- 2024-11-13
- DOI
- https://doi.org/10.19080/jpcr.2024.10.555796
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00