Grue Jahn Frederik, Storve Sigurd, Dalen Håvard, Salvesen Øyvind, Mjølstad Ole Christian, Samstad Stein O, Torp Hans, Haugen Bjørn Olav
Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway; Department of Cardiology, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway; Department of Internal Medicine, Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway.
Ultrasound Med Biol. 2018 Jan;44(1):168-176. doi: 10.1016/j.ultrasmedbio.2017.09.002. Epub 2017 Oct 13.
The purpose of the study described here was to evaluate an automatic algorithm for detection of left ventricular dysfunction, based on measurements of mitral annular motion indices from color tissue Doppler apical four-chamber recordings. Two hundred twenty-one patients, among whom 49 had systolic and 11 had diastolic dysfunction, were included. Echocardiographic evaluation by cardiologists was the reference. Twenty patients were also examined by medical students. The ability of the indices to detect systolic and diastolic dysfunction were compared in receiver operating characteristic analyses, and the agreement between automatic and reference measurements was evaluated. Mitral annular plane systolic excursion ≤10 mm detected left ventricular dysfunction with 82% specificity, 76% specificity, 56% positive predictive value and 92% negative predictive value. The automatic measurements acquired from expert recordings better agreed better with the reference than those acquired from student recordings. We conclude that automatic measurements of systolic mitral annular motion indices can be helpful in detection of left ventricular dysfunction.
本文所述研究的目的是评估一种基于彩色组织多普勒心尖四腔心记录测量二尖瓣环运动指标来检测左心室功能障碍的自动算法。纳入了221例患者,其中49例有收缩功能障碍,11例有舒张功能障碍。心脏病专家进行的超声心动图评估为参考标准。还有20例患者由医学生进行检查。在接受者操作特征分析中比较了这些指标检测收缩和舒张功能障碍的能力,并评估了自动测量与参考测量之间的一致性。二尖瓣环平面收缩期位移≤10 mm检测左心室功能障碍的特异性为82%、敏感性为76%、阳性预测值为56%、阴性预测值为92%。从专家记录中获取的自动测量值与参考值的一致性比从学生记录中获取的更好。我们得出结论,二尖瓣环收缩期运动指标的自动测量有助于检测左心室功能障碍。