Advances in Cerebrovascular Imaging (2021)-S1-CNR01-2021

Video Transcription

Video Summary

The presentation delves into the evolution of atherosclerosis imaging and the significance of understanding both the pathology and technological advances in its management. Historically, the comprehension of atherosclerosis has evolved from associating it with only specific organ pathologies to recognizing it as a systemic bodily issue. Pioneers like Fisher Miller highlighted the importance of stratifying disease severity, leading to methods such as those developed by the Nashet group in the 1980s, using angiography to assess stenosis degree and risk. Contemporary imaging has progressed to include advanced techniques like photon counting CT, 3D ultrasound, and more, offering richer data and finer tissue composition details, crucial for better disease characterization.<br /><br />Artificial intelligence (AI) further revolutionizes this field, enabling automatic segmentation and volumetric analysis, thereby promoting a shift from qualitative to bio-quantitative plaque assessments. This advancement facilitates detailed radiomics analysis, promising improved patient stratification and outcome predictions. Additionally, newer drugs, including anti-inflammatory therapies, show promising impacts on disease progression, capturing atherosclerosis as a multivessel pathology necessitating holistic monitoring strategies.<br /><br />The talk stresses the importance of integrating evolving biological knowledge with advanced imaging to enhance risk stratification, therapeutic decisions, and tracking disease progression or regression. The overarching goal is to establish a thorough risk model using sophisticated imaging that is universally applicable for assessing and managing atherosclerosis. These innovations aim to refine both diagnostic and therapeutic approaches, emphasizing a future where imaging biomarkers guide precise atherosclerosis management.

Keywords

atherosclerosis imaging

pathology

technological advances

systemic issue

angiography

photon counting CT

AI in imaging

radiomics analysis

risk stratification

imaging biomarkers