Feng Yanqiu, Feng Meiyan, Gao Huashuai, Zhang Xinyuan, Xin Xuegang, Feng Qianjin, Chen Wufan, He Taigang
School of Biomedical Engineering, Southern Medical University, Guangzhou, China.
J Magn Reson Imaging. 2014 Jul;40(1):67-78. doi: 10.1002/jmri.24331. Epub 2013 Oct 29.
To propose and evaluate an automatic method of extracting parenchyma from a manually delineated whole liver for the R2* measurement of iron load.
In all, 108 transfusion-dependent patients with a wide range of hepatic iron content were scanned with a multiecho gradient-echo sequence. The R2* was measured by fitting the average signal of liver parenchyma, extracted by the proposed semiautomatic parenchyma extraction (SAPE), traditional manually delineated multiple regions-of-interest (mROIs), and T2* thresholding methods to the noise-corrected monoexponential model. The R2* measurement accuracy of the SAPE method was evaluated through simulation; the intra- and interobserver reproducibility of SAPE, mROI, and T2* thresholding were assessed from the in vivo data using coefficient of variation (CoV).
In the simulation, the mean absolute percentage error of R2* measurement using SAPE was 0.23% (range 0.01%-1.09%). In vivo study, the CoVs of intra- and interobserver reproducibility were 0.83%, 1.39% for SAPE, 3.63%, 6.28% for mROI, and 1.62%, 2.66% for T2* thresholding, respectively.
The SAPE method provides an accurate and reliable approach to assessing the overall hepatic iron content. The improved magnetic resonance imaging (MRI) R2* reproducibility using the SAPE method may lead to more accurate tissue characterization and increased diagnostic confidence.
提出并评估一种从手动勾勒的全肝中提取实质组织的自动方法,用于铁负荷的R2*测量。
总共对108例具有广泛肝铁含量的输血依赖患者进行了多回波梯度回波序列扫描。通过将所提出的半自动实质组织提取(SAPE)、传统手动勾勒的多个感兴趣区域(mROI)和T2阈值法提取的肝实质平均信号拟合到噪声校正的单指数模型来测量R2。通过模拟评估SAPE方法的R2测量准确性;使用变异系数(CoV)从体内数据评估SAPE、mROI和T2阈值法的观察者内和观察者间再现性。
在模拟中,使用SAPE进行R2测量的平均绝对百分比误差为0.23%(范围为0.01%-1.09%)。在体内研究中,SAPE的观察者内和观察者间再现性的CoV分别为0.83%、1.39%,mROI为3.63%、6.28%,T2阈值法为1.62%、2.66%。
SAPE方法为评估肝脏整体铁含量提供了一种准确可靠的方法。使用SAPE方法提高的磁共振成像(MRI)R2*再现性可能会带来更准确的组织特征描述并提高诊断置信度。