Litcius/Paper detail

Application of radiomics in ischemic stroke

Jie Yang, Huabo Cai, Ning Liu, Jiajie Huang, Yunfeng Pan, Bo Zhang, Minfeng Tong, Zhongheng Zhang

2024Journal of International Medical Research11 citationsDOIOpen Access PDF

Abstract

In recent years, radiomics has emerged as a novel research methodology that plays a crucial role in the diagnosis and treatment of ischemic stroke. By integrating multimodal medical imaging techniques such as computed tomography and magnetic resonance imaging, radiomics offers in-depth insights into aspects such as the extent of brain tissue damage and hemodynamics. These data help physicians to accurately assess patient condition, select optimal treatment strategies, and predict recovery trajectories and long-term prognoses, thereby enhancing treatment efficacy and reducing the risk of complications. With the anticipated further advancements in radiomic technology, this methodology has great potential for expanded applications in the early detection, treatment, and prognosis of ischemic stroke. The present narrative review explores the burgeoning field of radiomics and its transformative impact on ischemic stroke.

Topics & Concepts

MedicineRadiomicsStroke (engine)Transformative learningMagnetic resonance imagingIschemic strokeNarrative reviewNeuroimagingIntensive care medicineMedical imagingRadiologyMedical physicsIschemiaCardiologyEngineeringPsychiatryMechanical engineeringPsychologyPedagogyRadiomics and Machine Learning in Medical ImagingAcute Ischemic Stroke ManagementAdvanced X-ray and CT Imaging
Application of radiomics in ischemic stroke | Litcius