Cardiovascular Medicine Research Unit, University of Aberdeen, Aberdeen, United Kingdom.
Cardiovascular Medicine Research Unit, University of Aberdeen, Aberdeen, United Kingdom.
Am J Cardiol. 2014 Aug 1;114(3):456-62. doi: 10.1016/j.amjcard.2014.05.017. Epub 2014 May 17.
Insufficient precision remains in accurately identifying left ventricular noncompaction (LVNC) from the healthy normal morphologic spectrum. We aim to provide a better distinction between normal left ventricular trabeculations and LVNC. We used a previously well-defined cohort of 120 healthy volunteers for normal reference values of the trabecular/compacted ratio derived from a consistent selection of short-axis cardiovascular magnetic resonance images. We performed forward selection of logistic regression models, selecting the best model that was subsequently assessed for discrimination and calibration, validated, and converted into a clinical diagnostic chart to benchmark the boundaries of detection from a cohort of 30 patients considered to have LVNC. We showed that 3 combinations of a maximal end-diastolic trabecular/compacted ratio (≥1 [apex], >1.8 [midcavity]), (>2 [apex], ≥0.6 [midcavity]), or (>0.5 [base], >1.8 [midcavity]) separate the cohorts with the highest accuracy (C statistic [95% confidence interval] of 0.9749 (0.9748 to 0.9751) for the diagnostic chart). Quantitative cardiovascular magnetic resonance also shows that patients considered to have LVNC have a significantly reduced ejection fraction compared with normal volunteers. At midcavity and apical level, it is difficult to identify papillary muscles that are replaced by a dense trabecular meshwork. In conclusion, we developed a new, refined, diagnostic tool for identifying LVNC, based on an a priori assessment of the trabecular architecture in healthy volunteers.
从健康正常形态学谱中准确识别左心室心肌致密化不全(LVNC)仍然存在精度不足的问题。我们旨在更好地区分正常左心室小梁和 LVNC。我们使用了先前定义良好的 120 名健康志愿者队列,以获得从一致选择的短轴心血管磁共振图像中得出的小梁/致密化比值的正常参考值。我们进行了逻辑回归模型的前向选择,选择了最佳模型,然后对其进行区分和校准评估、验证,并转换为临床诊断图表,以从 30 名被认为患有 LVNC 的患者队列中确定检测的边界。我们表明,3 种最大舒张末期小梁/致密化比值(≥1[顶点]、>1.8[中腔])、(>2[顶点]、≥0.6[中腔])或(>0.5[基底]、>1.8[中腔])的组合以最高的准确性(诊断图表的 C 统计量[95%置信区间]为 0.9749(0.9748 至 0.9751))分离了队列。定量心血管磁共振还表明,与健康志愿者相比,被认为患有 LVNC 的患者的射血分数明显降低。在心腔中部和心尖水平,很难识别被密集小梁网格替代的乳头肌。总之,我们基于对健康志愿者小梁结构的预先评估,开发了一种新的、经过改进的 LVNC 识别诊断工具。