左束支阻滞
特征跟踪
跟踪(教育)
磁共振成像
心脏磁共振
心脏病学
内科学
块(置换群论)
心脏磁共振成像
医学
人工智能
模式识别(心理学)
数学
计算机科学
放射科
几何学
心力衰竭
心理学
教育学
作者
Daniel Loewenstein,Björn Wieslander,Einar Heiberg,Jimmy Axelsson,Igor Klem,Robin Nijveldt,Erik B. Schelbert,Peder Sörensson,Andreas Sigfridsson,David G. Strauss,Raymond J. Kim,Brett D. Atwater,Martin Ugander
标识
DOI:10.6084/m9.figshare.15155596.v4
摘要
This dataset has been curated and made available as part of a study by Loewenstein, et al (https://doi.org/10.1101/2022.11.11.22282225). We compared the LV dyssynchrony classification accuracy of two commonly available CMR indices in a study population of patients with severely reduced LV ejection fraction and no scar, and either LBBB or normal conduction (normal QRS duration and axis, controls).We retrospectively identified 80 patients from three centers, with LV ejection fraction <=35%, no scar by CMR late gadolinium enhancement, and either normal electrocardiographic QRS duration (<120ms) and normal frontal plane electrical axis (-30 to +90 degrees) (control, n=36), or LBBB by Strauss’ criteria (LBBB, n=44).Provided is the image data and analysis code to reproduce all aspects of the current study.Datasets with original and delineated CMR exams can be found in the provided zip archive.Please see the README.docx document provided above for more details.
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