Accurate assessment of LV function using the first automated 2D-border detection algorithm for small animals - evaluation and application to models of LV dysfunction

Cardiovascular Ultrasound

Christiane Ott¹  Cathleen John¹  Ralf Dechend¹  Ulrich Kintscher¹  Kristin Kräker¹  Tilman Grune¹  Dominik N. Muller¹  Till Schütte¹  Daniel Ritter¹  Carsten Tschöpe¹  Nadine Haase¹  Niklas Beyhoff¹  Kathleen Pappritz¹  Sophie van Linthout¹  Wolfgang M. Kuebler²  Jana Grune² 

[1] German Centre for Cardiovascular Research (DZHK), partner site Berlin;Institute of Physiology, Charité-Universitätsmedizin Berlin;

关键词: Echocardiography;    Automated border detection;    LV systolic function;    Small animals;   

DOI  :  10.1186/s12947-019-0156-0

来源: DOAJ

【 摘 要 】

Abstract Echocardiography is the most commonly applied technique for non-invasive assessment of cardiac function in small animals. Manual tracing of endocardial borders is time consuming and varies with operator experience. Therefore, we aimed to evaluate a novel automated two-dimensional software algorithm (Auto2DE) for small animals and compare it to the standard use of manual 2D-echocardiographic assessment (2DE). We hypothesized that novel Auto2DE will provide rapid and robust data sets, which are in agreement with manually assessed data of animals. 2DE and Auto2DE were carried out using a high-resolution imaging-system for small animals. First, validation cohorts of mouse and rat cine loops were used to compare Auto2DE against 2DE. These data were stratified for image quality by a blinded expert in small animal imaging. Second, we evaluated 2DE and Auto2DE in four mouse models and four rat models with different cardiac pathologies. Automated assessment of LV function by 2DE was faster than conventional 2DE analysis and independent of operator experience levels. The accuracy of Auto2DE-assessed data in healthy mice was dependent on cine loop quality, with excellent agreement between Auto2DE and 2DE in cine loops with adequate quality. Auto2DE allowed for valid detection of impaired cardiac function in animal models with pronounced cardiac phenotypes, but yielded poor performance in diabetic animal models independent of image quality. Auto2DE represents a novel automated analysis tool for rapid assessment of LV function, which is suitable for data acquisition in studies with good and very good echocardiographic image quality, but presents systematic problems in specific pathologies.

【 授权许可】

Unknown