Gated SPECT evaluation of left ventricular function using a CZT camera and a fast low-dose clinical protocol: comparison to cardiac magnetic resonance imaging

Gated SPECT evaluation of left ventricular function using a CZT camera and a fast low-dose clinical protocol: comparison to cardiac magnetic resonance imaging
复制标题

DOI:
10.1007/s00259-013-2505-9
复制
发表时间:
2013-12-01
影响因子:
9.1
通讯作者:
Marzullo, Paolo
Marzullo, Paolo
中科院分区:
医学1区
文献类型:
--
作者:
Giorgetti, Assuero;Masci, Pier Giorgio;Marzullo, Paolo

文献摘要

被引文献

相似文献

目的CZT技术允许超快低剂量心肌灌注显像,但其评估左心室功能的准确性仍有待defined.Methods研究组包括55例患者(23名女性,平均年龄63 +/- 9岁)的心肌灌注显像。使用CZT相机(Discovery NM 530 c; GE Healthcare)和低剂量Tc-99 m-tetrofosmin临床方案(平均剂量264 +/-38MBq)在休息时研究患者。放射性示踪剂注射后15分钟,以6分钟列表模式采集进行门控SPECT成像。在Xeleris工作站(GE Healthcare)上使用Lister软件重新格式化图像(8帧至16帧),然后使用专用迭代算法重建。使用定量门控SPECT(QGS)软件进行分析。在2周内,患者接受了心脏磁共振成像(cMRI,1.5-T单位CVi; GE Healthcare),使用30帧采集协议和专用软件进行分析结果用8帧QGS获得的心室体积与cMRI体积显示出良好的相关性(舒张末期容积(EDV),r=0.90;收缩末期容积(ESV),r=0.94; p < 0.001)。然而,QGS显著低估了心室容积(平均差异:EDV,-39.5 +/- 29 mL; ESV,-15.4 +/- 22 mL; p < 0.001)。类似地,使用16帧QGS获得的心室容积显示出与cMRI容积的良好相关性(EDV,r=0.92; ESV,r=0.95; p < 0.001),但存在显著低估(平均差异:EDV,-33.2 +/- 26 mL; ESV,-17.9 +/- 20 mL; p < 0.001)。尽管数值显著较低(47.9 +/-16% vs. 51.2 +/-15%,p < 0.008),但8帧QGS平均射血分数(EF)与cMRI值密切相关(r = 0.84,p < 0.001)。16帧QGS的平均EF显示与cMRI值的最佳相关性(r = 0.91,p < 0.001),与平均cMRI值相似(49.6 +/-16%,p不显著)。区域分析显示8帧和16帧QGS与cMRI室壁运动评分指标具有良好的相关性(8帧WMSI,r = 0.85; 16帧WMSI,r = 0.89; p < 0.01)。与8帧图像相比,16帧重新格式化图像的EF估计似乎更准确。
Purpose CZT technology allows ultrafast low-dose myocardial scintigraphy but its accuracy in assessing left ventricular function is still to be defined.Methods The study group comprised 55 patients (23 women, mean age 63 +/- 9 years) referred for myocardial perfusion scintigraphy. The patients were studied at rest using a CZT camera (Discovery NM530c; GE Healthcare) and a low-dose Tc-99m-tetrofosmin clinical protocol (mean dose 264 +/- 38 MBq). Gated SPECT imaging was performed as a 6-min list-mode acquisition, 15 min after radiotracer injection. Images were reformatted (8-frame to 16-frame) using Lister software on a Xeleris workstation (GE Healthcare) and then reconstructed with a dedicated iterative algorithm. Analysis was performed using Quantitative Gated SPECT (QGS) software. Within 2 weeks patients underwent cardiac magnetic resonance imaging (cMRI, 1.5-T unit CVi; GE Healthcare) using a 30-frame acquisition protocol and dedicated software for analysis (MASS 6.1; Medis).Results The ventricular volumes obtained with 8-frame QGS showed excellent correlations with the cMRI volumes (end-diastolic volume (EDV), r=0.90; end-systolic volume (ESV), r=0.94; p < 0.001). However, QGS significantly underestimated the ventricular volumes (mean differences: EDV, -39.5 +/- 29 mL; ESV, -15.4 +/- 22 mL; p < 0.001). Similarly, the ventricular volumes obtained with 16-frame QGS showed an excellent correlations with the cMRI volumes (EDV, r=0.92; ESV, r=0.95; p < 0.001) but with significant underestimations (mean differences: EDV, -33.2 +/- 26 mL; ESV, -17.9 +/- 20 mL; p < 0.001). Despite significantly lower values (47.9 +/- 16 % vs. 51.2 +/- 15 %, p < 0.008), 8-frame QGS mean ejection fraction (EF) was closely correlated with the cMRI values (r = 0.84, p < 0.001). The mean EF with 16-frame QGS showed the best correlation with the cMRI values (r = 0.91, p < 0.001) and was similar to the mean cMRI value (49.6 +/- 16 %, p not significant). Regional analysis showed a good correlation between both 8-frame and 16-frame QGS and cMRI wall motion score indexes (8-frame WMSI, r = 0.85; 16-frame WMSI, r = 0.89; p < 0.01).Conclusion Low-dose gated SPECT with a CZT camera provides ventricular volumes that correlate well with cMRI results despite significant underestimation in the measure values. EF estimation appeared to be more accurate with 16-frame reformatted images than with 8-frame images.