Vo Anh T, Nguyen Nguyen T H, Le Khoi M, Vuong Nguyen L, Nguyen Trang T T, Vu Thanh T, Hoang Sy V, Nguyen Dinh H
Cardiovascular surgery department, University Medical Center, University of Medicine and Pharmacy at Ho Chi Minh city, 215 Hong Bang St - District 05, Ho Chi Minh City, Vietnam.
Department of thoracic and Cardiovascular Surgery, Faculty of Medicine, University of Medicine and Pharmacy at Ho Chi Minh city, Ho Chi Minh City, Vietnam.
J Cardiothorac Surg. 2020 Jun 18;15(1):147. doi: 10.1186/s13019-020-01197-w.
Minimally invasive mitral valve replacement has become popular across the world. However, annular rupture and patient - prosthetic mismatch (PPM) are still problematic, particularly in the Asian population. To avoid this, a predictor model could be beneficial. Our study aimed to assess the value of mitral valve diameters measured on TTE and CT scan on predicting the actual mitral prostheses.
From January 2018 to December 2019, a total number of 96 patients underwent minimally invasive mitral valve replacement. The association between imaging measurements and the outcome was checked by scatter plot and Pearson's correlation coefficient. Univariable linear regression was used to build the prediction model.
The three strongest correlations for the whole population are the following features: Mean TTE diameter (0.702), mean diameter on CT lowest plane through the mitral annulus (0.679), and area-derived diameter on CT highest plane through the mitral annulus (0.665). The prosthetic size of the tissue valve group was more correlated to the calculated annulus diameters than that of the mechanical valve group. Tissue valve size predictor models based on these calculated diameters were 16.19 + 0.27 × d (r = 0.744), 12.74 + 0.44 × d (r = 0.756) and 12.79 + 0.38 × d (r = 0.730), respectively.
Mitral prosthetic size could be predicted based on the mitral diameters measured on TTE and CT scan. The overall correlation coefficient varied from 0.665 (CT Scan) to 0.702 (TTE). These models performed better when applied to bioprosthesis.
微创二尖瓣置换术已在全球范围内广泛应用。然而，瓣环破裂和患者-人工瓣膜不匹配（PPM）仍然是问题，尤其是在亚洲人群中。为避免这种情况，预测模型可能会有所帮助。我们的研究旨在评估经胸超声心动图（TTE）和CT扫描测量的二尖瓣直径对预测实际二尖瓣人工瓣膜的价值。
2018年1月至2019年12月，共有96例患者接受了微创二尖瓣置换术。通过散点图和Pearson相关系数检查成像测量与结果之间的关联。采用单变量线性回归建立预测模型。
在整个人群中，相关性最强的三个特征如下：TTE平均直径（0.702）、通过二尖瓣环的CT最低平面的平均直径（0.679）以及通过二尖瓣环的CT最高平面的面积衍生直径（0.665）。与机械瓣膜组相比，组织瓣膜组的人工瓣膜尺寸与计算出的瓣环直径的相关性更强。基于这些计算直径的组织瓣膜尺寸预测模型分别为16.19 + 0.27×d（r = 0.744）、12.74 + 0.44×d（r = 0.756）和12.79 + 0.38×d（r = 0.730）。
可根据TTE和CT扫描测量的二尖瓣直径预测二尖瓣人工瓣膜尺寸。总体相关系数在0.665（CT扫描）至0.702（TTE）之间变化。这些模型应用于生物瓣膜时表现更佳。
