电影- mri评价主动脉反流:自动轮廓识别及与其他探查的比较研究

J. Baruthio, A. Koenig, F. Wolff, J. P. Annspach, Jacques Chambron, Daniel Grucker
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引用次数: 0

摘要

湍流和高血流速度会导致信号丢失。一种自动计算反流信号损失面积的方法被开发出来,其结果与由超声和血管造影提供的严重程度的参考评分相关联。该算法给出了最大的信号损失面积。这个绝对面积比平均或相对(左心室)面积有更好的相关性。参考等级与肉眼观察所得的分级相关性极好(r=0.87, p<10/sup -5/),而参考等级与处理后的Cine-MRI区域相关性更佳(r=0.92, p<10/sup -5/)。方差分析证实了信号丢失区域和严重程度参考等级之间的双重关系:毫无疑问,Cine-MRI应避免侵入性方法诊断主动脉反流,并允许精确的量化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of aortic regurgitation with cine-MRI: automatic contour recognition and comparative study with other explorations
Turbulence and high blood velocity produce a signal loss in Cine-MRI. An automatic calculation of the regurgitant signal loss area is developed and results are correlated with the reference scores of severity, supplied by echography and angiography. This algorithm gives the maximal signal loss area. This absolute area leads to better correlations than the mean or the relative (to left ventricle) areas. Correlation between reference grades and grades obtained through visual observation of Cine-MRI is excellent (r=0.87, p<10/sup -5/), but correlation between reference grades and processed Cine-MRI areas is even better (r=0.92, p<10/sup -5/). An analysis of variance confirms a biunique relation between signal loss areas, and reference grades of severity: no doubt that Cine-MRI should avoid invasive methods to diagnose Aortic Regurgitation, and allow a precise quantification.
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