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

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

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

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.

Original languageEnglish
Pages (from-to)833-840
Number of pages8
JournalJournal of computer assisted tomography
Volume44
Issue number6
DOIs
StatePublished - 2020

Keywords

  • CT angiography
  • duel-energy CT
  • pulmonary embolism

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