CACCT: An Automated Tool of Detecting Complicated Cardiac Malformations in Mouse Models
CACCT: An Automated Tool of Detecting Complicated Cardiac Malformations in Mouse Models
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CACCT：检测小鼠模型中复杂心脏畸形的自动化工具
DOI：
10.1002/advs.201903592
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发表时间：
2020-02-20
期刊：
影响因子：
15.1
通讯作者：
Hu, Shengshou
中科院分区：
文献类型：
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作者：
Chu, Qing;Jiang, Haobin;Hu, Shengshou
先天性心脏病（CHD）是婴幼儿发病/死亡的主要原因。利用小鼠模型来揭示冠心病的发病机制是了解其发病机制的必要条件。然而，由于心腔结构复杂，传统的二维表型分析方法不能全面显示和准确区分各种三维心脏畸形。在这里，提出了一种新的基于微计算机断层扫描（micro-CT）图像数据集的自动化工具，称为计算机辅助心腔跟踪（CACCT），它可以检测心腔之间的连接，并自动识别小鼠心脏中的复杂心脏畸形。有了CACCT，研究人员，即使是没有受过专业培训或没有CHD诊断经验的人，也可以方便准确地识别小鼠复杂的心脏畸形，包括大动脉转位，右心室双出口和非典型室间隔缺损，其准确性相当于高级胎儿心脏病专家。CACCT为准确识别异质性心脏畸形提供了一种有效的方法，将有助于CHD和心脏发育机制的研究。
Congenital heart disease (CHD) is the major cause of morbidity/mortality in infancy and childhood. Using a mouse model to uncover the mechanism of CHD is essential to understand its pathogenesis. However, conventional 2D phenotyping methods cannot comprehensively exhibit and accurately distinguish various 3D cardiac malformations for the complicated structure of heart cavity. Here, a new automated tool based on microcomputed tomography (micro‐CT) image data sets known as computer‐assisted cardiac cavity tracking (CACCT) is presented, which can detect the connections between cardiac cavities and identify complicated cardiac malformations in mouse hearts automatically. With CACCT, researchers, even those without expert training or diagnostic experience of CHD, can identify complicated cardiac malformations in mice conveniently and precisely, including transposition of the great arteries, double‐outlet right ventricle and atypical ventricular septal defect, whose accuracy is equivalent to senior fetal cardiologists. CACCT provides an effective approach to accurately identify heterogeneous cardiac malformations, which will facilitate the mechanistic studies into CHD and heart development.