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双能谱计算机断层扫描鉴别肺栓塞与类似疾病:一种算法方法

Pulmonary Embolism Versus Mimics on Dual-energy Spectral Computed Tomography: An Algorithmic Approach.

作者信息

Kikano Elias George, Laukamp Kai Roman, Azeze Samuel, Smith Daniel, Rahnemai-Azar Amir-Ata, Gupta Aekta, Gupta Amit

机构信息

From the Department of Radiology, University Hospitals Cleveland Medical Center/Case Western Reserve University, Cleveland, OH.

出版信息

J Comput Assist Tomogr. 2020 Nov/Dec;44(6):833-840. doi: 10.1097/RCT.0000000000001093.

DOI:10.1097/RCT.0000000000001093
PMID:33196595
Abstract

Pulmonary embolism is a commonly encountered diagnosis that is traditionally identified on conventional computed tomography angiography. Dual-energy computed tomography (DECT) is a new technology that may aid the initial identification and differential diagnosis of pulmonary embolism. In this review, we present an algorithmic approach for assessing pulmonary embolism on DECT, including acute versus chronic pulmonary embolism, relationship to conventional computed tomography angiography, surrogate for likelihood of hemodynamic significance, and alternative diagnoses for DECT perfusion defects.

摘要

肺栓塞是一种常见的诊断,传统上通过传统计算机断层扫描血管造影来识别。双能量计算机断层扫描(DECT)是一项新技术,可能有助于肺栓塞的初步识别和鉴别诊断。在本综述中,我们提出了一种基于DECT评估肺栓塞的算法方法,包括急性与慢性肺栓塞、与传统计算机断层扫描血管造影的关系、血流动力学意义可能性的替代指标以及DECT灌注缺损的其他诊断。

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