Hsu Li-Yueh, Natanzon Alex, Kellman Peter, Hirsch Glenn A, Aletras Anthony H, Arai Andrew E
Laboratory of Cardiac Energetics, National Heart Lung and Blood Institute, National Institutes of Health/DHHS, 10 Center Drive, Bethesda, MD 20892, USA.
J Magn Reson Imaging. 2006 Mar;23(3):298-308. doi: 10.1002/jmri.20496.
To develop a computer algorithm to measure myocardial infarct size in gadolinium-enhanced magnetic resonance (MR) imaging and to validate this method using a canine histopathological reference.
Delayed enhancement MR was performed in 11 dogs with myocardial infarction (MI) determined by triphenyltetrazolium chloride (TTC). Infarct size on in vivo and ex vivo images was measured by a computer algorithm based on automated feature analysis and combined thresholding (FACT). For comparison, infarct size by human manual contouring and simple intensity thresholding (based on two standard deviation [2SD] and full width at half maximum [FWHM]) were studied.
Both in vivo and ex vivo MR infarct size measured by the FACT algorithm correlated well with TTC (R = 0.95-0.97) and showed no significant bias on Bland Altman analysis (P = not significant). Despite similar correlations (R = 0.91-0.97), human manual contouring overestimated in vivo MR infarct size by 5.4% of the left ventricular (LV) area (equivalent to 55.1% of the MI area) vs. TTC (P < 0.001). Infarct size measured by simple intensity thresholdings was less accurate than the proposed algorithm (P < 0.001 and P = 0.007).
The FACT algorithm accurately measured MI size on delayed enhancement MR imaging in vivo and ex vivo. The FACT algorithm was also more accurate than human manual contouring and simple intensity thresholding approaches.
开发一种计算机算法，用于在钆增强磁共振（MR）成像中测量心肌梗死面积，并使用犬类组织病理学参考来验证该方法。
对11只经氯化三苯基四氮唑（TTC）确定患有心肌梗死（MI）的犬进行延迟增强磁共振成像。通过基于自动特征分析和组合阈值处理（FACT）的计算机算法测量体内和体外图像上的梗死面积。为作比较，研究了通过人工手动勾勒轮廓和简单强度阈值处理（基于两个标准差[2SD]和半高宽[FWHM]）得出的梗死面积。
通过FACT算法测量的体内和体外MR梗死面积与TTC相关性良好（R = 0.95 - 0.97），并且在布兰德 - 奥特曼分析中无显著偏差（P = 无显著意义）。尽管相关性相似（R = 0.91 - 0.97），但人工手动勾勒轮廓得出的体内MR梗死面积比TTC高估了左心室（LV）面积的5.4%（相当于MI面积的55.1%）（P < 0.001）。通过简单强度阈值处理测量的梗死面积不如所提出的算法准确（P < 0.001和P = 0.007）。
FACT算法在体内和体外延迟增强MR成像中准确测量了MI面积。FACT算法也比人工手动勾勒轮廓和简单强度阈值处理方法更准确。
