Validation of an Automated Method to Quantify Stress-induced Ischemia and Infarction in Rest-stress Myocardial Perfusion SPECT

Overview

Journal J Nucl Cardiol

Specialty Cardiology & Vascular Diseases

Date 2014 Feb 18

PMID 24532031

Citations 2

Authors

Helen Fransson

Michael Ljungberg

Marcus Carlsson

Henrik Engblom

Hakan Arheden

Einar Heiberg

Affiliations

Soon will be listed here.

Abstract

Background: Myocardial perfusion SPECT (MPS) is one of the frequently used methods for quantification of perfusion defects in patients with known or suspected coronary artery disease. This article describes open access software for automated quantification in MPS of stress-induced ischemia and infarction and provides phantom and in vivo validation.

Methods And Results: A total of 492 patients with known or suspected coronary artery disease underwent both stress and rest MPS. The proposed perfusion analysis algorithm (Segment) was trained in 140 patients and validated in the remaining 352 patients using visual scoring in MPS by an expert reader as reference standard. Furthermore, validation was performed with simulated perfusion defects in an anthropomorphic computer model. Total perfusion deficit (TPD, range 0-100), including both extent and severity of the perfusion defect, was used as the global measurement of the perfusion defects. Mean bias ± SD between TPD by Segment and the simulated TPD was 3.6 ± 3.8 (R(2) = 0.92). Mean bias ± SD between TPD by Segment and the visual scoring in the patients was 1.2 ± 2.9 (R (2)= 0.64) for stress-induced ischemia and -0.3 ± 3.1 (R(2) = 0.86) for infarction.

Conclusion: The proposed algorithm can detect and quantify perfusion defects in MPS with good agreement to expert readers and to simulated values in a computer phantom.

Citing Articles

The radiation dose to overweighted patients undergoing myocardial perfusion SPECT can be significantly reduced: validation of a linear weight-adjusted activity administration protocol.

Oddstig J, Hindorf C, Hedeer F, Jogi J, Arheden H, Hansson M J Nucl Cardiol. 2016; 24(6):1912-1921.

PMID: 27506700 DOI: 10.1007/s12350-016-0628-7.

Review of cardiovascular imaging in The Journal of Nuclear Cardiology in 2014: Part 2 of 2: Myocardial perfusion imaging.

Hage F, AlJaroudi W J Nucl Cardiol. 2015; 22(4):714-9.

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