Hamid Ali, Ahmad Abu Qdais, Arindam Chatterjee, Mohamad Abdalkader, Eytan Raz, Thanh N Nguyen, Sami Al Kasab
{"title":"Updates in Cerebrovascular Imaging.","authors":"Hamid Ali, Ahmad Abu Qdais, Arindam Chatterjee, Mohamad Abdalkader, Eytan Raz, Thanh N Nguyen, Sami Al Kasab","doi":"10.1055/a-2681-6597","DOIUrl":null,"url":null,"abstract":"<p><p>Cerebrovascular imaging has undergone significant advances, enhancing the diagnosis and management of cerebrovascular diseases such as stroke, aneurysms, and arteriovenous malformations. This chapter explores key imaging modalities, including non-contrast computed tomography, computed tomography angiography, magnetic resonance imaging (MRI), and digital subtraction angiography. Innovations such as high-resolution vessel wall imaging, artificial intelligence (AI)-driven stroke detection, and advanced perfusion imaging have improved diagnostic accuracy and treatment selection. Additionally, novel techniques like 7-T MRI, molecular imaging, and functional ultrasound provide deeper insights into vascular pathology. AI and machine learning applications are revolutionizing automated detection and prognostication, expediting treatment decisions. Challenges remain in standardization, radiation exposure, and accessibility. However, continued technological advances, multimodal imaging integration, and AI-driven automation promise a future of precise, non-invasive cerebrovascular diagnostics, ultimately improving patient outcomes.</p>","PeriodicalId":49544,"journal":{"name":"Seminars in Neurology","volume":" ","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seminars in Neurology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1055/a-2681-6597","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Cerebrovascular imaging has undergone significant advances, enhancing the diagnosis and management of cerebrovascular diseases such as stroke, aneurysms, and arteriovenous malformations. This chapter explores key imaging modalities, including non-contrast computed tomography, computed tomography angiography, magnetic resonance imaging (MRI), and digital subtraction angiography. Innovations such as high-resolution vessel wall imaging, artificial intelligence (AI)-driven stroke detection, and advanced perfusion imaging have improved diagnostic accuracy and treatment selection. Additionally, novel techniques like 7-T MRI, molecular imaging, and functional ultrasound provide deeper insights into vascular pathology. AI and machine learning applications are revolutionizing automated detection and prognostication, expediting treatment decisions. Challenges remain in standardization, radiation exposure, and accessibility. However, continued technological advances, multimodal imaging integration, and AI-driven automation promise a future of precise, non-invasive cerebrovascular diagnostics, ultimately improving patient outcomes.
期刊介绍:
Seminars in Neurology is a review journal on current trends in the evaluation, diagnosis, and treatment of neurological diseases. Areas of coverage include multiple sclerosis, central nervous system infections, muscular dystrophy, neuro-immunology, spinal disorders, strokes, epilepsy, motor neuron diseases, movement disorders, higher cortical function, neuro-genetics and neuro-ophthamology. Each issue is presented under the direction of an expert guest editor, and invited contributors focus on a single, high-interest clinical topic.
Up-to-the-minute coverage of the latest information in the field makes this journal an invaluable resource for neurologists and residents.