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利用 3D 虚拟模型对左心耳进行功能和形态的同步评估。

Simultaneous Functional and Morphological Assessment of Left Atrial Appendage by 3D Virtual Models.

机构信息

BioCardioLab, Fondazione CNR-Regione Toscana "G. Monasterio", Massa, Italy.

Department of Interventional Cardiology, Fondazione CNR-Regione Toscana "G. Monasterio", Massa, Italy.

出版信息

J Healthc Eng. 2019 May 21;2019:7095845. doi: 10.1155/2019/7095845. eCollection 2019.

Abstract

PURPOSE

The left atrial appendage (LAA) is responsible for thrombus formation in patients with atrial fibrillation. The evaluation of both LAA function and morphology is crucial for the patient characterization and the preprocedural planning of LAA closure intervention. Despite the availability of 3D imaging modalities, the current standard image analysis is based on manual delineation of the LAA contours on 2D views.

METHODS

In this study, a comprehensive approach based on a full 3D analysis of the tomographic dataset by surface extraction and processing (3D-S) is presented. The proposed method allows extracting functional and morphologic information in the entire cardiac cycle by minimalizing manual user interaction. The proposed methodology has been validated on ten computer tomography datasets.

RESULTS

The proposed 3D-S method was feasible in all cases. Reproducibility was improved with respect to the reference 2D manual procedure (2D-S) (coefficient of variation 2.9 vs. 4.1% for diastolic ostium area; 3.8 vs. 6.1% for systolic ostium area; 2.4 vs. 5.3% for diastolic LAA volume; 2.7 vs. 5.9% for systolic LAA volume; and 7.7 vs. 17.1% for LAA ejection fraction). No significant differences were found between 2D-S and 3D-S measurements.

CONCLUSIONS

In this study, we introduced a fully 3D approach for LAA characterization, allowing the simultaneous assessment of LAA function and geometry. The proposed approach could be used to improve the patient selection and the best sizing of the device for LAA closure and to allow a patient-specific 3D printing.

摘要

目的

左心耳(LAA)是导致房颤患者血栓形成的原因。LAA 功能和形态的评估对于患者特征分析和 LAA 封堵干预的术前规划至关重要。尽管有 3D 成像方式,但目前的标准图像分析基于在 2D 视图上手动描绘 LAA 轮廓。

方法

本研究提出了一种基于表面提取和处理(3D-S)的全 3D 分析对断层数据集进行全面分析的方法。该方法通过最小化手动用户交互来提取整个心动周期的功能和形态信息。该方法已在十套计算机断层扫描数据集上进行了验证。

结果

提出的 3D-S 方法在所有情况下均可行。与参考 2D 手动程序(2D-S)相比,可重复性得到了提高(舒张期口面积的变异系数为 2.9%对 4.1%;收缩期口面积为 3.8%对 6.1%;舒张期 LAA 容积为 2.4%对 5.3%;收缩期 LAA 容积为 2.7%对 5.9%;LAA 射血分数为 7.7%对 17.1%)。在 2D-S 和 3D-S 测量之间未发现显著差异。

结论

本研究提出了一种完全的 3D 方法用于 LAA 特征描述,允许同时评估 LAA 的功能和几何形状。该方法可用于改善患者选择和 LAA 封堵的最佳设备尺寸,并允许进行患者特异性 3D 打印。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2b1/6556349/a61ee0ca1ba1/JHE2019-7095845.001.jpg

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