Changes to Dorsal Thalamic Metabolites and Thalamocortical Tract Fiber Injury in Patients with Cervical Spondylotic Myelopathy [0.03%]
颈椎脊髓型颈椎病患者背侧丘脑代谢物及投射纤维束变化的研究
Li Zhang,Yu-Jin Zhang,Ning Wang et al.
Li Zhang et al.
Purpose: This study aims to assess thalamocortical tract fiber injury using diffusion-tensor imaging (DTI) and to characterize metabolic alterations in the dorsal thalamus with proton magnetic resonance spectroscopy (MRS)...
Evaluation of Renal Perfusion: A Comparative Study between Intravoxel Incoherent Motion (IVIM) Imaging and Arterial Spin Labeling (ASL) to Assess Renal Blood Flow in Rodents [0.03%]
评价肾脏灌注：比较血管内不相干运动成像与动脉自旋标记技术在评估啮齿类动物肾血流中的应用价值
Keisuke Ishimatsu,Kazufumi Kikuchi,Orson W Moe et al.
Keisuke Ishimatsu et al.
Purpose: To compare diagnostic reliability between an intravoxel incoherent motion (IVIM) imaging and an arterial spin labeling (ASL) in assessment of renal blood flow in rodents. ...
Association between the Presence of the Parasagittal Cyst-like Structures and Cognitive Function [0.03%]
侧脑室 parasagittal 囊状结构与认知功能的关系研究
Toshio Ohashi,Rintaro Ito,Ryo Yamamoto et al.
Toshio Ohashi et al.
Purpose: A cyst-like structure near superior sagittal sinus (Arachnoid Cuff Exit Site cysts: ACES cysts) has been reported in MRI. The purpose of this study was to investigate the association between presence of ACES cyst...
Image-based Re-evaluation of the JCOG0911 Study Focusing on Tumor Volume and Survival, Disease Progression Diagnosis, and Radiomic Prognostication for Newly Diagnosed Glioblastoma [0.03%]
基于影像的重新评估JCOG0911研究，重点为新诊断胶质母细胞瘤的肿瘤体积与生存、疾病进展诊断和放射组学预后指标
Manabu Kinoshita,Yasutaka Fushimi,Tomohiko Masumoto et al.
Manabu Kinoshita et al.
Purpose: To re-evaluate images recovered from JCOG0911, a randomized phase 2 trial for newly diagnosed glioblastoma (nGBM) conducted by the Japan Clinical Oncology Group (JCOG) Brain Tumor Study Group. ...
Improving Vessel Visibility and Applying Artificial Intelligence to Autodetect Brain Metastasis for a 3D MR Imaging Sequence Capable of Simultaneous Images with and without Blood Vessel Suppression [0.03%]
改善血管可见度并利用人工智能自动检测脑转移瘤的三维MR成像序列能够同时获取有无血管抑止的图像
Kazufumi Kikuchi,Makoto Obara,Yoshitomo Kikuchi et al.
Kazufumi Kikuchi et al.
Purpose: The purposes of this study were 1) to improve vessel visibility of our MR sequence by modifying k-space filling and 2) to verify the usefulness of applying artificial intelligence (AI) for volume isotropic simult...
In-vitro Detection of Intramammary-like Macrocalcifications Using Susceptibility-weighted MR Imaging Techniques at 1.5T [0.03%]
采用1.5T磁敏感加权MRI技术体外检测乳腺类 intramammary 宏观钙化点
Annett Lebenatus,Josephine Kuster,Sina Straub et al.
Annett Lebenatus et al.
Purpose: The aim of our study was to investigate the technical accuracy of susceptibility-weighted imaging (SWI) and quantitative susceptibility mapping (QSM) created to detect intramammary-like calcifications depending o...
Identification of the Distal Dural Ring Using Three-dimensional Motion-sensitized Driven-equilibrium Prepared T1-weighted Fast Spin Echo Imaging: Application to Paraclinoid Aneurysms [0.03%]
应用三维运动敏化驱动平衡预处理T1加权快速自旋回波成像识别远端硬脑膜环：鞍旁动脉瘤中的应用
Maya Oki,Tatsuya Oki,Ryuta Ito et al.
Maya Oki et al.
Purpose: This study investigated the ability of three-dimentional motion-sensitized driven-equilibrium prepared T1-weighted fast spin echo (3D MSDE-FSE) imaging to identify distal dural rings (DDRs) and paraclinoid aneury...
The Evolution and Clinical Impact of Deep Learning Technologies in Breast MRI [0.03%]
深度学习技术在乳腺MRI中的发展及临床影响
Tomoyuki Fujioka,Shohei Fujita,Daiju Ueda et al.
Tomoyuki Fujioka et al.
The integration of deep learning (DL) in breast MRI has revolutionized the field of medical imaging, notably enhancing diagnostic accuracy and efficiency. This review discusses the substantial influence of DL technologies across various fac...
Tsukasa Saida,Wenchao Gu,Sodai Hoshiai et al.
Tsukasa Saida et al.
This review explores the significant progress and applications of artificial intelligence (AI) in obstetrics and gynecological MRI, charting its development from foundational algorithmic techniques to deep learning strategies and advanced r...
Evaluation of Early Renal Changes in Type 2 Diabetes Mellitus Using Multiparametric MR Imaging [0.03%]
2型糖尿病 mellitus患者早期肾损伤的多参数磁共振成像评估
Xinyi Chen,Chao Ge,Yuling Zhang et al.
Xinyi Chen et al.
Purpose: To evaluate the clinical value of early renal changes in type 2 diabetes mellitus (T2DM) using multiparameter MRI. Methods: Th...