摘要
目的与传统心脏MR电影成像(Cine)及联合压缩感知(uCS)-Cine对比,观察人工智能辅助压缩感知(ACS)-Cine序列用于评估双心室功能及左心室心肌应变的价值。方法前瞻性对30名受检者行传统Cine、uCSCine及ACS-Cine检查。以5分法对3种图像质量进行主观评分并加以比较。基于3种序列图像测量并比较双心室功能及左心室心肌应变参数,包括左心室舒张末期容积(LVEDV)、左心室收缩末期容积(LVESV)、左心室射血分数(LVEF)、左心室舒张末期心肌质量(LVEDM)、右心室舒张末期容积(RVEDV)、右心室收缩末期容积(RVESV)、右心室射血分数(RVEF)、左心室整体径向应变(LVGRS)、左心室整体周向应变(LVGCS)及左心室整体纵向应变(LVGLS)。结果ACS-Cine、uCS-Cine及传统Cine序列图像评分均≥3,ACS-Cine与传统Cine图像主观评分差异无统计学意义(校正P=0.306)而均略高于uCS-Cine(校正P均<0.05)。基于ACS-Cine及uCS-Cine所测LVEDV、LVEF及LVEDM差异无统计学意义(校正P均>0.05)而均低于传统Cine(校正P均<0.05);基于3种序列所测LVESV两两比较差异均无统计学意义(校正P均>0.05);基于ACS-Cine所测RVEDV低于传统Cine、RVESV高于uCS-Cine、RVEF低于uCS-Cine及传统Cine(校正P均<0.05),而基于uCS-Cine与传统Cine所测右心室功能差异均无统计学意义(校正P均>0.05)。基于ACS-Cine及uCS-Cine所测LVGRS及LVGCS大致相当(校正P均>0.05)而均低于传统Cine(校正P均<0.05),基于3种序列所测LVGLS差异无统计学意义(P>0.05)。结论ACS-Cine可作为传统Cine的有效补充用于临床评估双心室功能及左心室心肌应变。
Objective To explore the value of artificial intelligence-assisted compressed sensing(ACS)-MR cine imaging(Cine)for assessing biventricular function and left ventricular myocardial strain compared with conventional cardiac Cine and united compressed sensing(uCS)-Cine.Methods A total of 30 subjects who underwent conventional Cine,uCS-Cine and ACS-Cine were prospectively enrolled.Based on a 5-point scale,subjective scoring of image quality was performed and compared among 3 sequences.Biventricular function parameters and myocardial strain parameters of the left ventricle,including left ventricular end-diastolic volume(LVEDV),left ventricular end-systolic volume(LVESV),left ventricular ejection fraction(LVEF),left ventricular end-diastolic mass(LVEDM),right ventricular end-diastolic volume(RVEDV),right ventricular end-systolic volume(RVESV),right ventricular ejection fraction(RVEF),left ventricular global radial strain(LVGRS),left ventricular global circumferential strain(LVGCS)and left ventricular global longitudinal strain(LVGLS)were measured and compared among sequences.Results The subjective image quality scores of all 3 sequences were≥3,of ACS-Cine and conventional Cine were not significantly different(adjusted P=0.306)but both slightly higher than that of uCS-Cine(both adjusted P<0.05).LVEDV,LVEF and LVEDM based on ACS-Cine and uCS-Cine were not significantly different(all adjusted P>0.05),but all lower than those of conventional Cine(all adjusted P<0.05).No significant difference of LVESV was found between each two sequences(all adjusted P>0.05).RVEDV based on ACS-Cine was lower than that based on conventional Cine,RVESV based on ACS-Cine was higher than that based on uCS-Cine,and RVEF based on ACS-Cine was lower than that based on uCS-Cine and conventional Cine(all adjusted P<0.05),while no significant difference of right ventricular functional parameters was observed between uCS-Cine and conventional Cine(all adjusted P>0.05).Both ACS-Cine and uCS-Cine had lower LVGRS and LVGCS than conventional Cine(all adjusted P<0.05),with no significant difference was found between uCS-Cine and ACS-Cine(both adjusted P>0.05).No significant difference of LVGLS was observed among 3 sequences(P>0.05).Conclusion ACS-Cine could be used as appropriate supplement to conventional Cine for clinical assessment of biventricular function and left ventricular myocardial strain.
作者
李明志
武希庆
李芹
曹伟
于艳妮
LI Mingzhi;WU Xiqing;LI Qin;CAO Wei;YU Yanni(Imaging Center,Weifang Hospital of Traditional Chinese Medicine,Weifang 261041,China;Department of Ultrasound,Weifang People's Hospital,Weifang 261041,China)
出处
《中国介入影像与治疗学》
北大核心
2025年第7期481-485,共5页
Chinese Journal of Interventional Imaging and Therapy
关键词
心室功能
心肌收缩
磁共振成像
电影
人工智能
ventricular function
myocardial contraction
magnetic resonance imaging,cine
artificial intelligence
