Regarding "Comparative Evaluation of Lower Gadolinium Doses for MR Imaging of Meningiomas: How Low Can We Go?" [0.03%]
关于“低剂量钆剂用于脑膜瘤MR影像检查的比较评估：我们能用多低的剂量？”
Antonio Navarro-Ballester
Antonio Navarro-Ballester
Role of Hypoperfusion Intensity Ratio in Vessel Occlusions: A Review on Safety and Clinical Outcomes [0.03%]
低灌注强度比在血管闭塞中的作用：安全性及临床预后的综述性文章
Sana Rehman,Arsalan Nadeem,Arbab Burhan Uddin Kasi et al.
Sana Rehman et al.
The hypoperfusion intensity ratio (HIR) is a quantitative metric used in vascular occlusion imaging to evaluate the extent of brain tissue at risk due to hypoperfusion. Defined as the ratio of tissue volume with a time-to-maximum (Tmax) of ...
Diagnostic performance of fast brain MRI compared to routine clinical MRI in patients with glioma grade 3 and 4 -a pilot study [0.03%]
快速脑MRI与常规临床MRI在诊断三级和四级胶质瘤中的诊断性能比较-一项初步研究
Francesca De Luca,Annika Suneson,Annika Kits et al.
Francesca De Luca et al.
Background and purpose: EPIMix is a fast brain MRI technique not previously investigated in patients with glioma grades 3 and 4. This pilot study aimed to investigate the diagnostic performance of EPIMix in the radiologic...
Repeatability and Reproducibility of pseudo-Continuous Arterial Spin Labeling Measured Brain Perfusion in Healthy Volunteers and Glioblastoma Patients [0.03%]
健康志愿者和胶质母细胞瘤患者大脑灌注的伪连续动脉自旋标记测量的重复性和再现性
Limin Zhou,Durga Udayakumar,Yiming Wang et al.
Limin Zhou et al.
Background and purpose: Arterial spin labeled (ASL) MRI has gained recognition as a quantitative perfusion imaging method for managing patients with brain tumors. Limited studies have so far investigated the reproducibili...
Automated quantification of cerebral microbleeds in susceptibility-weighted MRI: association with vascular risk factors, white matter hyperintensity burden, and cognitive function [0.03%]
基于磁敏感加权MRI的脑内微出血的自动化定量分析及其与血管危险因素、脑白质高信号负荷和认知功能的关系
Ji Su Ko,Yangsean Choi,Eun Seon Jeong et al.
Ji Su Ko et al.
Background and purpose: To train and validate a deep learning (DL)-based segmentation model for cerebral microbleeds (CMB) on susceptibility-weighted MRI; and to find associations between CMB, cognitive impairment, and va...
Stroke thrombectomy for large infarcts with limited penumbra: Systematic review and meta-analysis of randomized trials [0.03%]
大面积梗死伴局限性半暗带的脑卒中取栓术：随机对照试验系统回顾和meta分析
Huanwen Chen,Seemant Chaturvedi,Dheeraj Gandhi et al.
Huanwen Chen et al.
Background and purpose: Recent randomized trials have suggested that endovascular thrombectomy (EVT) is superior to medical management (MM) for stroke patients with large infarcts. However, whether or how perfusion metric...
A review of intracranial aneurysm imaging modalities, from CT to state-of-the-art MR [0.03%]
颅内动脉瘤影像学检查方法的评述：从CT到最新的MR技术
Sammy Allaw,Kameel Khabaz,Tyler C Given et al.
Sammy Allaw et al.
Traditional guidance for intracranial aneurysm (IA) management is dichotomized by rupture status. Fundamental to ruptured aneurysm management is the detection and treatment of subarachnoid hemorrhage, along with securing the aneurysm by the...
Assessing the Diagnostic Value of Brain White Matter Hyperintensities and Clinical Symptoms in Predicting the Detection of CSF Venous Fistula in Patients with Suspected Spontaneous Intracranial Hypotension [0.03%]
评估脑白质高信号和临床症状在预测疑似自发性颅内低压患者CSF静脉瘘检测中的诊断价值
Samantha L Pisani Petrucci,Nadya Andonov,Peter Lennarson et al.
Samantha L Pisani Petrucci et al.
Background and purpose: Spontaneous intracranial hypotension (SIH) due to CSF venous fistula (CVF) is increasingly recognized as a secondary cause of headaches, with symptoms often overlapping with primary headache syndro...
Data-Driven Prognostication in Distal Medium Vessel Occlusions Using Explainable Machine Learning [0.03%]
基于可解释机器学习的远端中血管闭塞的數據驅动預后判斷
Mert Karabacak,Burak Berksu Ozkara,Tobias D Faizy et al.
Mert Karabacak et al.
Background and purpose: Distal medium vessel occlusions (DMVOs) are estimated to cause acute ischemic stroke (AIS) in 25-40% of cases. Prognostic models can inform patient counseling and research by enabling outcome predi...
Comprehensive segmentation of gray matter structures on T1-weighted brain MRI: A Comparative Study of CNN, CNN hybrid-transformer or -Mamba architectures [0.03%]
基于T1加权脑MRI的灰质结构全面分割：CNN、CNN混合-变压器或-Mamba架构的比较研究
Yujia Wei,Jaidip Manikrao Jagtap,Yashbir Singh et al.
Yujia Wei et al.
Background and purpose: Recent advances in deep learning have shown promising results in medical image analysis and segmentation. However, most brain MRI segmentation models are limited by the size of their datasets and/o...