Reproducibility of clinical late gadolinium enhancement magnetic resonance imaging in detecting left atrial scar after atrial fibrillation ablation.
Reproducibility of clinical late gadolinium enhancement magnetic resonance imaging in detecting left atrial scar after atrial fibrillation ablation.
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DOI：
10.1111/jce.14743
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发表时间：
2020-11
影响因子：
2.7
通讯作者：
Ranjan, Ravi
中科院分区：
文献类型：
--
作者：
Kamali, Roya;Schroeder, Joyce;DiBella, Edward;Steinberg, Benjamin;Han, Frederick;Dosdall, Derek J.;Macleod, Rob S.;Ranjan, Ravi
关键词：
晚期钆增强（LGE）心脏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重现性和可靠性尚不清楚。研究了在3 T和1.5T扫描仪上连续进行两次MRI（间隔三个月）的患者（n=45）。我们使用四种阈值化方法：简单阈值化、大津阈值化、高于血池（BP）平均强度的3.3标准差（SD）和图像强度比（IIR）比较了PAAS检测的再现性。我们通过将左心房壁强度直方图分为十分位数进行纹理研究，并评估两次扫描的相同十分位数的相关性以及与随机强度分布的相关性，使用Dice相似系数（DSC）进行量化。扫描仪的选择对重复性没有显著影响。通过大津阈值化（DSC为71.26±8.34）进行的瘢痕检测与BP平均强度以上3.3 SD（DSC为57.78±21.2，p<0.001）和IIR高于1.61（DSC为45.76±29.55，p<0.001）的方法相比，两种扫描的相关性更好。纹理分析显示，仅对于强度在壁强度直方图的第70百分位数以上的十分位数中的体素的相关性优于随机分布（p<0.001）。我们的研究结果表明，临床LGE-MRI可以可靠地用于可视化跨不同的磁通量密度的PAAS，如果阈值大于壁强度分布的第70百分位数。此外，对于可再现的PAAS检测，基于心房壁的阈值处理优于基于BP的阈值处理。
Late gadolinium enhancement (LGE) cardiac MRI can be used to detect post-ablation atrial scar (PAAS) but its reproducibility and reliability in clinical scans across different magnetic flux densities and scar detection methods is unknown. Patients (n=45) having undergone two consecutive MRIs (three 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 better correlation of the two scans compared to the methods of 3.3 SD above BP mean intensity (DSC of 57.78±21.2, p<0.001) 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<0.001). 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.
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DOI：
10.1007/s10840-015-0060-y
发表时间：
2015-12-01
影响因子：
1.8
作者：
Parmar, Bhrigu R.;Jarrett, Tyler R.;Ranjan, Ravi
通讯作者：
Ranjan, Ravi
影响因子：
5.5
作者：
Taclas, Jason E.;Nezafat, Reza;Peters, Dana C.
通讯作者：
Peters, Dana C.
影响因子：
3.3
作者：
Tao, Qian;Milles, Julien;van der Geest, Rob J.
通讯作者：
van der Geest, Rob J.
影响因子：
5.5
作者：
Badger, Troy J.;Oakes, Robert S.;Marrouche, Nassir F.
通讯作者：
Marrouche, Nassir F.
影响因子：
6.4
作者：
Chubb, Henry;Karim, Rashed;Razavi, Reza
通讯作者：
Razavi, Reza