Beyond the Valve: CMR-Based Cardiac Damage Staging in Aortic Regurgitation [0.03%]
主动脉瓣关闭不全患者心脏损害分期的CMR评估
Philippe Généreux,Mostafa Naguib
Philippe Généreux
Diagnosis of Mitral Valve Prolapse Using Artificial Intelligence: Is it Ready for Primetime? [0.03%]
人工智能诊断二尖瓣脱垂：准备好了吗？
David Messika-Zeitoun,Pascal Theriault-Lauzier,Ian G Burwash
David Messika-Zeitoun
Variations of Severely Reduced Myocardial Flow Reserve in PET Myocardial Perfusion Imaging [0.03%]
心肌灌注显像中严重降低的心肌流量储备的变异形式
Christoph Ryffel,Andreas A Giannopoulos,Aju P Pazhenkottil et al.
Christoph Ryffel et al.
A Deep Learning Model to Identify Mitral Valve Prolapse From the Echocardiogram [0.03%]
基于超声心动图的二尖瓣反流的深度学习模型
Mostafa A Al-Alusi,Emily S Lau,Aeron M Small et al.
Mostafa A Al-Alusi et al.
Background: Mitral valve prolapse (MVP) has a prevalence of 2% to 3% and increases risk of heart failure and sudden death, but diagnosis by transthoracic echocardiography requires time and expertise. ...
Cardiac Fibroblast Activation May Precede Myocardial Tissue Remodeling in Hypertrophic Cardiomyopathy [0.03%]
肥厚性心肌病中心脏成纤维细胞活化可能先于心肌组织重塑发生
Li Wang,Yilu Wang,Yu Zhang et al.
Li Wang et al.
Patterns of Nonspecific Myocardial FDG Uptake in Patients Without Sarcoidosis With Normal CMR [0.03%]
没有肉芽肿的心肌炎患者氟脱氧葡萄糖正电子发射体层摄影的异位心肌摄取模式——心脏磁共振正常者
Stephen J Hankinson,Akshay S Desai,Garrick C Stewart et al.
Stephen J Hankinson et al.
Robert A Levine,Jacob P Dal-Bianco,Yutaka Otsuji
Robert A Levine
The Plot Thickens (or Thins): Cardiac Remodeling With Myosin Inhibitor Therapy in Obstructive Hypertrophic Cardiomyopathy [0.03%]
梗阻性肥厚型心肌病患者使用肌球蛋白抑制剂治疗的心脏重塑（变浓或变淡）
Martin S Maron
Martin S Maron
Evaluating Acute Ischemic Myocardial Injury With Photon-Counting Computed Tomography [0.03%]
基于光子计数的CT评价急性心肌缺血损伤
Rafail A Kotronias,Leonardo Portolan,Cheng Xie et al.
Rafail A Kotronias et al.
The Predictive Accuracy of Aortic Valve Calcium Score in Mediastinal Radiation Therapy Survivors [0.03%]
放射治疗幸存者主动脉瓣钙化评分的预测准确性
Osnat Itzhaki Ben Zadok,Stephen J Hankinson,Ashraf Hamdan et al.
Osnat Itzhaki Ben Zadok et al.