13N-ammonia positron emission tomography-derived left-ventricular strain in patients after heart transplantation validated using cardiovascular magnetic resonance feature tracking as reference
13N-ammonia positron emission tomography-derived left-ventricular strain in patients after heart transplantation validated using cardiovascular magnetic resonance feature tracking as reference
复制标题
使用心血管磁共振特征跟踪作为参考验证心脏移植后患者的 13N-氨正电子发射断层扫描衍生的左心室应变
DOI:
10.1007/s12149-021-01686-5
复制
发表时间:
2021
影响因子:
2.6
通讯作者:
Sakai Shuji
中科院分区:
文献类型:
--
作者:
Kawakubo Masateru;Nagao Michinobu;Kikuchi Noriko;Yamamoto Atsushi;Nakao Risako;Matsuo Yuka;Kaneko Koichiro;Watanabe Eri;Sasaki Masayuki;Nunoda Shinichi;Sakai Shuji
ObjectiveHeart transplant rejection leads to cardiac allograft vasculopathy (CAV).13N-ammonia positron emission tomography (PET) can be useful in detecting CAV, as it can evaluate both epicardial vessels and microvasculature. In this study, we evaluated the regional wall motion in heart transplant patients using our PET-specific feature-tracking (FT) algorithm for myocardial strain calculation and validated it using a cardiovascular magnetic resonance (CMR) FT strain as a reference.MethodsA total of 15 heart transplant patients who underwent both13N-ammonia PET and CMR within 3 months were retrospectively enrolled. The same slice position of short-axis cine images of the middle slice of left ventricle (LV) and the same slice position of horizontal long-axis cine images were selected for the two modalities to measure the circumferential strain (CS) and longitudinal strain (LS), respectively. Based on the FT technique, time–strain curves were calculated by semi-automatic tracking of the endocardial contour on cine images throughout a cardiac cycle. The peak value in the time-strain curve was defined as the representative value. Correlations of CS and LS between PET and CMR were analyzed using Pearson correlation coefficients. The inter-modality error of strain measurements was evaluated using intraclass correlation coefficients (ICCs) with two-way random single measures.ResultsExcellent correlations of CS and LS between PET and CMR were observed (CS:r= 0.80;p< 0.01; LS:r= 0.87;p< 0.01). Excellent ICCs were observed (0.89 and 0.85) in CS and LS derived from PET.ConclusionsWe propose the first PET strain showing an excellent agreement with the CMR strain and high reproducibility in measurement.