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一种用于量化左室心肌致密化不全的高度精确方法。

A highly accurate method for quantifying LVNC cardiomyophaty.

机构信息

Computer Engineering, University of Murcia, Spain.

Hospital Universitari Vall d'Hebron, Barcelona, Spain.

出版信息

AMIA Annu Symp Proc. 2021 Jan 25;2020:223-232. eCollection 2020.

PMID:33936394
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8075521/
Abstract

Left ventricular non-compaction (LVNC) is defined by an increase of trabeculations in left ventricular endo-myocardium. Although LVNC can be in isolation, an increase in hypertrabeculation often accompanies genetic cardiomyopthies. Several enhancements are proposed and implemented to improve a software tool for the automatic quantification of the exact hyper-trabeculation degree in the left ventricular myocardium for a population of patients with LVNC cardiomyopathy (QLVTHC-NC). The software tool is developed and evaluated for a population of patients ( cardiac images). An end-diastolic cardiac magnetic resonance images of the patients are the input of the software, whereas the left ventricular mass, volumes and proportion of trabeculation produced by the compacted zone and the trabeculated zone are the outputs. Significant improvements are obtained with respect to the manual process, so saving valuable diagnosis time. Comparing the method proposed with the fractal proposal to differentiate LVNC and non-LVNC patients in subjects with previously diagnosed LVNC cardiomyophaty, QLVTHC-NC presents higher diagnostic accuracy and lower complexity and cost than the fractal criterio.

摘要

左心室心肌致密化不全(LVNC)的定义为左心室心内膜下心肌的小梁增多。虽然 LVNC 可以孤立存在,但往往伴随着遗传型心肌病出现心肌肥厚的程度增加。为了提高软件工具的准确性,以对左心室心肌肥厚的程度进行自动量化,提出并实现了几种改进方法,该软件工具用于 LVNC 心肌病(QLVTHC-NC)患者的人群。该软件工具是针对一组患者(心脏图像)开发和评估的。患者的心脏磁共振舒张末期图像是软件的输入,而由致密区和小梁区产生的左心室质量、体积和小梁化比例是输出。与手动过程相比,该方法在节约宝贵的诊断时间方面取得了显著的改进。将提出的方法与用于区分 LVNC 和非 LVNC 患者的分形方案进行比较,在先前诊断为 LVNC 心肌病的患者中,QLVTHC-NC 比分形标准具有更高的诊断准确性、更低的复杂性和成本。

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Performance of a New Software Tool for Automatic Quantification of Left Ventricular Trabeculations.一种用于自动量化左心室小梁的新软件工具的性能
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