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

被引：1
作者：
Kikano, Elias George [1 ]
Laukamp, Kai Roman [1 ,2 ]
Azeze, Samuel [1 ]
Smith, Daniel [1 ]
Rahnemai-Azar, Amir-Ata [1 ]
Gupta, Aekta [1 ]
Gupta, Amit [1 ]
机构：
[1] Case Western Reserve Univ, Univ Hosp Cleveland, Med Ctr, Dept Radiol, 11100 Euclid Ave, Cleveland, OH 44106 USA
[2] Univ Hosp Cologne, Inst Diagnost & Intervent Radiol, Cologne, Germany
来源：
JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY | 2020年 / 44卷 / 06期
关键词：
duel-energy CT; pulmonary embolism; CT angiography;
D O I：
10.1097/RCT.0000000000001093
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
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.
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收藏
页码：833 / 840
页数：8
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