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01-01-2015 | Cardiac

Quantification of the myocardial area at risk using coronary CT angiography and Voronoi algorithm-based myocardial segmentation

Authors: Akira Kurata, Atsushi Kono, Tsuyoshi Sakamoto, Teruhito Kido, Teruhito Mochizuki, Hiroshi Higashino, Mitsunori Abe, Adriaan Coenen, Raluca G. Saru-Chelu, Pim J. de Feyter, Gabriel P. Krestin, Koen Nieman

Published in: European Radiology | Issue 1/2015

Abstract

Objectives

The purpose of this study was to estimate the myocardial area at risk (MAAR) using coronary computed tomography angiography (CTA) and Voronoi algorithm-based myocardial segmentation in comparison with single-photon emission computed tomography (SPECT).

Methods

Thirty-four patients with coronary artery disease underwent 128-slice coronary CTA, stress/rest thallium-201 SPECT, and coronary angiography (CAG). CTA-based MAAR was defined as the sum of all CAG stenosis (>50 %) related territories (the ratio of the left ventricular volume). Using automated quantification software (17-segment model, 5-point scale), SPECT-based MAAR was defined as the number of segments with a score above zero as compared to the total 17 segments by summed stress score (SSS), difference (SDS) score map, and comprehensive SPECT interpretation with either SSS or SDS best correlating CAG findings (SSS/SDS). Results were compared using Pearson's correlation coefficient.

Results

Forty-nine stenoses were observed in 102 major coronary territories. Mean value of CTA-based MAAR was 28.3 ± 14.0 %. SSS-based, SDS-based, and SSS/SDS-based MAAR was 30.1 ± 6.1 %, 20.1 ± 15.8 %, and 26.8 ± 15.7 %, respectively. CTA-based MAAR was significantly related to SPECT-based MAAR (r = 0.531 for SSS; r = 0.494 for SDS; r = 0.814 for SSS/SDS; P < 0.05 in each).

Conclusions

CTA-based Voronoi algorithm myocardial segmentation reliably quantifies SPECT-based MAAR.

Key points

• Voronoi algorithm allows for three-dimensional myocardial segmentation of coronary CT angiography

• Stenosis-related CT myocardial territories correlate to SPECT based area at risk

• CT angiography myocardial segmentation may assist in clinical decision-making

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Title: Quantification of the myocardial area at risk using coronary CT angiography and Voronoi algorithm-based myocardial segmentation
Authors: Akira Kurata
Atsushi Kono
Tsuyoshi Sakamoto
Teruhito Kido
Teruhito Mochizuki
Hiroshi Higashino
Mitsunori Abe
Adriaan Coenen
Raluca G. Saru-Chelu
Pim J. de Feyter
Gabriel P. Krestin
Koen Nieman
Publication date: 01-01-2015
Publisher: Springer Berlin Heidelberg
Published in: European Radiology / Issue 1/2015
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-014-3388-2

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Quantification of the myocardial area at risk using coronary CT angiography and Voronoi algorithm-based myocardial segmentation

Abstract

Objectives

Methods

Results

Conclusions

Key points

Keynote webinar | Spotlight on sleep in brain health

Springer Medicine

Abstract

Objectives

Methods

Results

Conclusions

Key points

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