Application of speCtraL computed tomogrAphy to impRove specIficity of cardiac compuTed tomographY (CLARITY study): rationale and design.

ABSTRACT:

Introduction

Anatomic stenosis evaluation on coronary CT angiography (CCTA) lacks specificity in indicating the functional significance of a stenosis. Recent developments in CT techniques (including dual-layer spectral detector CT [SDCT] and static stress CT perfusion [CTP]) and image analyses (including fractional flow reserve [FFR] derived from CCTA images [FFR_CT] and deep learning analysis [DL]) are potential strategies to increase the specificity of CCTA by combining both anatomical and functional information in one investigation. The aim of the current study is to assess the diagnostic performance of (combinations of) SDCT, CTP, FFR_CT and DL for the identification of functionally significant coronary artery stenosis.

Methods and analysis

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SUBMITTER: van Hamersvelt RW 

PROVIDER: S-EPMC6429912 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature