Department of Clinical Physiology, Skåne University Hospital, Lund University, SE-22185, Lund, Sweden.
J Nucl Cardiol. 2011 Oct;18(5):874-85. doi: 10.1007/s12350-011-9427-3. Epub 2011 Jul 15.
By gating image acquisition in myocardial perfusion SPECT (MPS) to ECG, left ventricular (LV) volumes and function can be determined. Several previous studies have shown that existing MPS software packages underestimate LV volumes compared to cardiac magnetic resonance (CMR). The aim of this study was therefore to develop a new LV segmentation algorithm for gated MPS using CMR as reference standard.
A total of 126 patients with suspected coronary artery disease, who underwent both gated MPS and CMR were retrospectively included. The proposed LV segmentation algorithm (Segment) was trained in 26 patients, and tested in 100 patients in comparison to four commercially available MPS software packages (QGS, MyoMetrix, ECTb, and Exini) using CMR as reference standard. Mean bias ± SD between MPS and CMR was for EDV -5% ± 12%, -43% ± 8%, -40% ± 8%, -42% ± 9%, -32% ± 7%, for ESV 0% ± 17%, -41% ± 16%, -34% ± 15%, -54% ± 13%, -41% ± 10%, for EF -2% ± 13%, -1% ± 14%, -7% ± 15%, 17% ± 16%, 10% ± 17% for Segment, QGS, MyoMetrix, ECTb, and Exini, respectively, and for LVM 3% ± 18%, 33% ± 25%, 37% ± 24% for Segment, QGS, and ECTb, respectively. Correlation between MPS by Segment and CMR were for EDV R (2) = 0.89, for ESV R (2) = 0.92, for EF R (2) = 0.69, and for LVM R (2) = 0.72, with no difference compared to the correlation between the other MPS software packages and CMR (EDV R (2) = 0.86-0.92, ESV R (2) = 0.91-0.93, EF R (2) = 0.64-0.65, and LVM R (2) = 0.68-0.70).
The Segment software quantifies LV volumes and EF by MPS with similar correlation and a low bias compared to other MPS software packages, using CMR as reference standard. Hence, the Segment software shows potential to provide clinically relevant volumes and functional values from MPS.
通过门控心肌灌注 SPECT(MPS)的图像采集对心电图进行门控,可以确定左心室(LV)容积和功能。几项先前的研究表明,与心脏磁共振(CMR)相比,现有的 MPS 软件包低估了 LV 容积。因此,本研究的目的是开发一种新的门控 MPS LV 分段算法,以 CMR 为参考标准。
回顾性纳入了 126 例疑似冠心病患者,这些患者均接受了门控 MPS 和 CMR 检查。在 26 例患者中对提出的 LV 分段算法(Segment)进行了训练,并在 100 例患者中进行了测试,将其与四种商业 MPS 软件包(QGS、MyoMetrix、ECTb 和 Exini)进行了比较,以 CMR 为参考标准。MPS 与 CMR 之间的平均偏差(均数±标准差)分别为 EDV -5%±12%、-43%±8%、-40%±8%、-42%±9%、-32%±7%,ESV 0%±17%、-41%±16%、-34%±15%、-54%±13%、-41%±10%,EF -2%±13%、-1%±14%、-7%±15%、17%±16%、10%±17%,Segment、QGS、MyoMetrix、ECTb 和 Exini 的分别为 LVM 3%±18%、33%±25%、37%±24%,分别为 Segment、QGS 和 ECTb。Segment 与 CMR 之间的 MPS 相关性分别为 EDV R(2)=0.89、ESV R(2)=0.92、EF R(2)=0.69 和 LVM R(2)=0.72,与其他 MPS 软件包与 CMR 之间的相关性(EDV R(2)=0.86-0.92、ESV R(2)=0.91-0.93、EF R(2)=0.64-0.65、和 LVM R(2)=0.68-0.70)无差异。
以 CMR 为参考标准,Segment 软件通过 MPS 定量测量 LV 容积和 EF,与其他 MPS 软件包相比,相关性相似,偏差较小。因此,Segment 软件有可能从 MPS 提供临床相关的容积和功能值。