Kamali Roya, Schroeder Joyce, DiBella Edward, Steinberg Benjamin, Han Frederick, Dosdall Derek J, Macleod Rob S, Ranjan Ravi
Department of Biomedical Engineering, University of Utah, Salt Lake City, Utah, USA.
Division of Cardiovascular Medicine, University of Utah, Salt Lake City, Utah, USA.
J Cardiovasc Electrophysiol. 2020 Nov;31(11):2824-2832. doi: 10.1111/jce.14743. Epub 2020 Sep 28.
Late gadolinium enhancement (LGE) cardiac magnetic resonance imaging (MRI) can be used to detect postablation atrial scar (PAAS) but its reproducibility and reliability in clinical scans across different magnetic flux densities and scar detection methods are unknown.
Patients (n = 45) having undergone two consecutive MRIs (3 months apart) on 3T and 1.5T scanners were studied. We compared PAAS detection reproducibility using four methods of thresholding: simple thresholding, Otsu thresholding, 3.3 standard deviations (SD) above blood pool (BP) mean intensity, and image intensity ratio (IIR). We performed a texture study by dividing the left atrial wall intensity histogram into deciles and evaluated the correlation of the same decile of the two scans as well as to a randomized distribution of intensities, quantified using Dice Similarity Coefficient (DSC).
The choice of scanner did not significantly affect the reproducibility. The scar detection performed by Otsu thresholding (DSC of 71.26 ± 8.34) resulted in a better correlation of the two scans compared with the methods of 3.3 SD above BP mean intensity (DSC of 57.78 ± 21.2, p < .001) and IIR above 1.61 (DSC of 45.76 ± 29.55, p <.001). Texture analysis showed that correlation only for voxels with intensities in deciles above the 70th percentile of wall intensity histogram was better than random distribution (p < .001).
Our results demonstrate that clinical LGE-MRI can be reliably used for visualizing PAAS across different magnetic flux densities if the threshold is greater than 70th percentile of the wall intensity distribution. Also, atrial wall-based thresholding is better than BP-based thresholding for reproducible PAAS detection.
延迟钆增强(LGE)心脏磁共振成像(MRI)可用于检测消融后心房瘢痕(PAAS),但其在不同磁通量密度和瘢痕检测方法的临床扫描中的可重复性和可靠性尚不清楚。
对45例患者进行研究,这些患者在3T和1.5T扫描仪上连续进行了两次MRI检查(间隔3个月)。我们使用四种阈值化方法比较PAAS检测的可重复性:简单阈值化、大津阈值化、高于血池(BP)平均强度3.3个标准差(SD)以及图像强度比(IIR)。我们通过将左心房壁强度直方图划分为十分位数进行纹理研究,并评估两次扫描相同十分位数之间以及与强度随机分布的相关性,使用骰子相似系数(DSC)进行量化。
扫描仪的选择对可重复性没有显著影响。与高于BP平均强度3.3 SD的方法(DSC为57.78±21.2,p<.001)和高于1.61的IIR方法(DSC为45.76±29.55,p<.001)相比,大津阈值化进行的瘢痕检测(DSC为71.26±8.34)使两次扫描的相关性更好。纹理分析表明,仅壁强度直方图第70百分位数以上十分位数强度的体素相关性优于随机分布(p<.001)。
我们的结果表明,如果阈值大于壁强度分布的第70百分位数,临床LGE-MRI可可靠地用于在不同磁通量密度下可视化PAAS。此外,基于心房壁的阈值化在可重复的PAAS检测方面优于基于BP的阈值化。