New Stent Retriever Technology Versus Standard Devices for Anterior Large Vessel Thrombectomy: A Multicenter Study [0.03%]
新型血栓抽吸装置与传统支架取栓器用于大血管闭塞再通的疗效比较：一项多中心研究
Josep Puig,Guillem Dolz,Mariano Werner et al.
Josep Puig et al.
Background and purpose: Guidelines recommend stent retrievers (SRs) for treating large vessel occlusion (LVO) stroke. We assessed noninferiority of the iNtercept (iVascular) SR with a self-expanding basket on a pusher wir...
The Effect of Gadolinium on Synthetic Magnetic Resonance Quantitative Imaging [0.03%]
钆对合成磁共振定量影像的影响
Lenka Novakova,Igal Rosenstein,Markus Axelsson et al.
Lenka Novakova et al.
Background and purpose: Synthetic (Sy) MRI is a clinically approved technique providing quantitative MRI measures based on T1-weighted, T2-weighted, and proton density relaxometry. MRI sequences are often acquired after c...
Cerebral Perfusion and Blood-Brain Barrier Changes After Cranioplasty: A Diffusion-Prepared Arterial Spin Labeling Study [0.03%]
术后脑灌注及血脑屏障变化的扩散准备动脉自旋标记研究
Brandon Ojogho,Aidin Abedi,Darrin J Lee et al.
Brandon Ojogho et al.
Background and purpose: Cranioplasty reconstruction after hemicraniectomy restores skull integrity and has been associated with neurological improvement, but the physiological mechanisms underlying recovery remain incompl...
Perfusion Territory Shifts in Cerebrovascular Diseases Measured by Super-Selective Arterial Spin Labeling [0.03%]
超选择性动脉自旋标记技术测量脑血管疾病灌注区变化
Gabriel Hoffmann,Miriam Reichert,Jens Göttler et al.
Gabriel Hoffmann et al.
Background and purpose: Individualized diagnostic approaches are crucial in cerebrovascular diseases, such as internal carotid artery stenosis (ICAS). To evaluate individual collateral blood supply, vessel-selective imagi...
Differentiating Brain Metastasis and High-Grade Glioma Using Multi-b Value Diffusion MRI and Tumor Volumetry [0.03%]
基于多b值扩散MRI和肿瘤体积定量区分脑转移瘤与高级别胶质瘤
Tereza Kopřivová,Marek Dostál,Tomáš Jůza et al.
Tereza Kopřivová et al.
Background and purpose: To evaluate feasibility of multi-b value diffusion magnetic resonance imaging (MRI) and volumetry in differentiating between brain metastases and high-grade gliomas (HGGs) while producing a differe...
Diffusion Tensor Imaging Reveals Altered Centrality of Pain-Related Regions in SCN9A-Associated Small Fiber Neuropathy [0.03%]
扩散张量成像揭示了SCN9A相关性小纤维神经病疼痛相关区域中心性的改变
Gerhard S Drenthen,Dennis Kool,Amir Far et al.
Gerhard S Drenthen et al.
Background and purpose: Small fiber neuropathy (SFN) is a neuropathic disorder that is associated with chronic pain. While most SFN cases are idiopathic, SFN can also have hereditary causes. For example, rare SCN9A gene m...
Distinguishing Myo-Inositol From Glycine in Brain MRS at 3T: A Pitfall Using Intermediate Echo Times [0.03%]
使用中等回波时间在3T脑MRS区分肌醇和甘氨酸的一个陷阱
Seyma Alcicek,Georg Oeltzschner,Doris D M Lin et al.
Seyma Alcicek et al.
Background and purpose: In in vivo magnetic resonance spectroscopy (MRS) of the brain, glycine (Gly) is traditionally separated from the overlapping signal of myo-inositol (mI) through the use of intermediate (e.g., 130-1...
Assessing a Stimulator Modification for Simultaneous Noninvasive Auricular Vagus Nerve Stimulation and MRI [0.03%]
评估同时进行非侵入性耳部迷走神经刺激和磁共振成像的刺激器修改方法
Vanessa Teckentrup,Mareike Ludwig,Janis Seibt et al.
Vanessa Teckentrup et al.
Background and purpose: The vagus nerve can be stimulated noninvasively at the ear using transcutaneous auricular vagus nerve stimulation (taVNS). Concurrent functional MRI (fMRI) permits study of taVNS-induced changes in...
Diagnostic Accuracy of Neuromuscular Ultrasound for Carpal Tunnel Syndrome: A Real-World Study [0.03%]
神经肌肉超声诊断腕管综合征的准确性：一项真实世界研究
Ujjawal Roy,Michael S Cartwright,Achal Kumar Srivastava et al.
Ujjawal Roy et al.
Background and purpose: To determine the diagnostic accuracy of median nerve ultrasound in suspected cases of carpal tunnel syndrome (CTS) in a prospective, real-world study. ...
Edge-Guided Deep Learning Model to Predict Fetal Brain Age Using MRI [0.03%]
基于边界的深度学习模型利用MRI预测胎儿脑年龄
Haitao Gan,Qingsong Gao,Zhi Yang et al.
Haitao Gan et al.
Background and purpose: Deep learning enables fast fetal brain age prediction from MRI. However, most models emphasize global features while ignoring local edge details. To improve accuracy, we propose a novel model incor...