A New Approach to Quantification of End-Diastolic Volume and Ejection Fraction from SPECT Equilibrium Radionuclide Angiocardiography: Methodology and Phantom Validation
A New Approach to Quantification of End-Diastolic Volume and Ejection Fraction from SPECT Equilibrium Radionuclide Angiocardiography: Methodology and Phantom Validation
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SPECT 平衡放射性核素血管造影术量化舒张末期容积和射血分数的新方法：方法论和体模验证
DOI：
10.1007/s40846-018-0413-y
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Yi
中科院分区：
文献类型：
--
作者：
Taraneh Hashemi;Jing Wu;Verónica Sandoval;S. Allahverdi;R. Fazzone;Yi
传统的二维(2-D)方法通过平面平衡放射性核素心血管造影(ERNA)计算左心室(LV)、舒张期末容量(EDV)和射血分数(EF)时，由于EDV和EF定量所用的LV模型不是最优的，导致估计误差。本研究旨在开发和验证单光子发射计算机断层扫描(SPECT)ERNA中EDV和EF定量的新方法。使用两种不同的伽马相机对六个心脏模型进行了成像。使用常规相机采集平面图像，使用心脏专用SPECT/CT系统采集SPECT图像并进行衰减校正(AC)和无衰减校正(NC)。生成SPECT重投影图像并将其整合到图像序列中以创建伪Erna图像，并使用两种传统的和一种新的Yale Erna量化方法进行量化。与真实的EDV和EF值相比，从二维平面ERNA量化的幻影EDV和EF被低估了。使用常规方法和耶鲁方法的SPECT量化的EDV有显著差异。无论是NC还是AC，用常规方法都明显低估了EDV。AC和NC之间SPECT量化的EF差异很小，AC和NC的EF估计误差相似。SPECT定量的EDV和EFS与AC和NC的变异系数相同。耶鲁方法显著提高了从本模型研究中模拟的SPECT Erna进行EDV量化的准确性。耶鲁法定量EF的精密度很高，但精确度一般。对于准确的EDV和精确的EF评估，耶鲁大学SPECT ERNA定量方法可能是首选的。
Conventional two-dimensional (2-D) methods for the assessments of left ventricular (LV) end-diastolic volume (EDV) and ejection fraction (EF) from planar equilibrium radionuclide angiocardiography (ERNA) cause estimation errors due to the suboptimal LV models used in the EDV and EF quantifications. This study was to develop and validate a new method for EDV and EF quantifications from single photon emission computerized tomographic (SPECT) ERNA. Six cardiac phantoms were imaged using two different gamma cameras. Planar images were acquired using a conventional camera and SPECT images were acquired and reconstructed with attenuation correction (AC) and without AC (NC) using a cardiac dedicated SPECT/CT system. SPECT-reprojected images were generated and integrated into an image sequence to create pseudo ERNA images and were quantified using two conventional and a new Yale ERNA quantification methods. Phantom EDV and EF quantified from 2-D planar ERNA were underestimated compared to the true EDV and EF values. SPECT-quantified EDVs using the conventional and Yale methods were significantly different. The EDV was markedly underestimated using the conventional methods, regardless of NC or AC. Difference in SPECT-quantified EFs between AC and NC was small and EF estimation errors for AC and NC were similar. The coefficients of variation for SPECT-quantified EDVs and EFs with AC and NC were identical. The Yale method significantly improved the accuracy of EDV quantification from the SPECT ERNA simulated in this phantom study. The precision of EF quantification using the Yale method was excellent, albeit the accuracy was fair. The Yale method for SPECT ERNA quantification may be preferred for accurate EDV and precise EF assessments.