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首页> 外文期刊>American Journal of Physiology >Improving the quality of preclinical research echocardiography: observations, training, and guidelines for measurement
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Improving the quality of preclinical research echocardiography: observations, training, and guidelines for measurement

机译：提高临床前研究超声心动图的质量：测量的观察，培训和指南

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Informal training in preclinical research may be a contributor to the poor reproducibility of preclinical cardiology research and low rates of translation into clinical research and practice. Mouse echocardiography is a widely used technique to assess cardiac structure and function in drug intervention studies using disease models. The interobserver variability of clinical echocardiographic measurements has been shown to improve with formalized training, but preclinical echocardiography lacks similarly critical standardization of training. The aims of this investigation were to assess the interobserver variability of echocardiographic measurements from studies in mice and address any technical impediments to reproducibility by implementing standardized guidelines through formalized training. In this prospective, single-site, observational cohort study, 13 scientists performing preclinical echocardiographic image analysis were assessed for measurement of short-axis M-mode-derived dimensions and calculated left ventricular (LV) mass. Ten M-mode images of mouse hearts acquired and analyzed by an expert researcher with a spectrum of LV mass were selected for assessment and validated by autopsy weight. After the initial observation, a structured formal training program was introduced, and accuracy and reproducibility were reevaluated. Mean absolute percentage error for expert-calculated LV mass was 6?±?4% compared with autopsy LV mass and 25?±?21% for participants before training. Standardized formal training improved participant mean absolute percentage error by ~30% relative to expert-calculated LV mass (P < 0.001). Participants initially categorized with high-range error (25–45%) improved to low-moderate error ranges (<15–25%). This report reveals an example of technical skill training insufficiency likely endemic to preclinical research and provides validated guidelines for echocardiographic measurement for adaptation to formalized in-training programs.NEW & NOTEWORTHY The informal training common to academic/research institutions may be a contributor to the relatively poor reproducibility observed for preclinical cardiac research. In our observation of echocardiography analysis in murine models, we present evidence of moderate interobserver variability in standard preclinical research practice at an Australian heart research institute. These observations give rise to our recommendations for practical guidelines for echocardiography analysis in an adaptable approach to general preclinical research skill training.Listen to this article’s corresponding podcast at https://ajpheart.podbean.com/e/preclinical-echocardiography-training-and-guidelines/.
机译：临床前研究中的非正式培训可能是临床心脏病学研究的可再现性和临床研究和实践的低速率差的贡献者。小鼠超声心动图是一种广泛使用的技术，用于评估使用疾病模型的药物干预研究中的心脏结构和功能。临床超声心动图测量的Interobserver变异性已经显示出具有形式化的训练，但临床前超声心动图缺乏同样关键的训练标准化。该调查的目的是评估小鼠研究中超声心动图测量的Interobserver变异，并通过通过正式培训实施标准化指南来解决任何技术障碍。在这一前瞻性，单现场，观测队列研究中，评估了第13名进行临床前超声心动图图像分析的科学家，用于测量短轴M模式导出的尺寸，并计算左心室（LV）质量。选择具有谱系的专家研究员获得和分析的鼠标心脏的10个M模式图像进行评估并通过尸检重量验证。初步观察后，介绍了结构化的正式培训计划，重新评估了准确性和再现性。与尸检LV质量相比，专家计算的LV质量的平均绝对百分比误差为6？±4％，参与者在训练前进行参与者的25±21％。标准化的正式培训改善了参与者的意味着绝对百分比误差〜30％相对于专家计算的LV质量（P <0.001）。最初分类为高范围误差（25-45％）的参与者改进到低中频误差范围（<15-25％）。本报告揭示了技术技能培训不足，可能特有的临床前研究的培训不足，并为适应正式的培训计划进行适应的超声心动图测量的验证指南。新闻和值得注意的学术/研究机构共同培训可能是相对的贡献者临床前心脏研究观察到的可再现性差。在我们观察鼠模型中的超声心动图分析中，我们在澳大利亚心脏研究所的标准临床前研究实践中提出了适度的Interobserver变异性的证据。这些观察结果引发了对超声心动图分析的实际指南的建议，以适应的方法是一般的临床前研究技能培训。本文在HTTPS://ajpheart.podbean.com/e/preclinal -echeConography-trainta的相应播客， -guidelines /。

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