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Updated: Aug 23, 2025

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Quantification of Mouse Heart Left Ventricular Function, Myocardial Strain, and Hemodynamic Forces by Cardiovascular Magnetic Resonance Imaging
Published on: May 24, 2021
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Infarct quantification with cardiovascular magnetic resonance using "standard deviation from remote" is unreliable:
Einar Heiberg1,2, Henrik Engblom3, Marcus Carlsson3,4
1Department of Clinical Sciences Lund, Clinical Physiology, Skåne University Hospital, Lund University, 222 42, Lund, SE, Sweden. einar.heiberg@med.lu.se.
Summary
The "n-SD from remote" method for quantifying myocardial infarction using late gadolinium enhancement cardiovascular magnetic resonance is unreliable due to significant variability. Alternative validated methods are recommended for accurate infarct size assessment.
Area of Science:
- Cardiovascular Imaging
- Medical Image Analysis
- Cardiac MRI
Background:
- Late gadolinium enhancement cardiovascular magnetic resonance (LGE-CMR) with the "n-SD from remote" method is a standard for infarct quantification.
- This method defines infarct based on signal intensity thresholds relative to remote myocardium.
- Lack of consensus on thresholding parameters and potential impact of region of interest (ROI) placement necessitates validation.
Purpose of the Study:
- To investigate the variability and agreement of the "n-SD from remote" method for myocardial infarction quantification.
- To assess the impact of ROI size, position, and the "n-SD" threshold on infarct size measurements.
- To evaluate the reliability of this commonly used LGE-CMR analysis technique.
Main Methods:
- Analysis of data from 214 patients across two multi-center trials.
- Comparison of infarct sizes derived from "n-SD from remote" with core lab reference delineations.
- Systematic variation of remote ROI position, ROI size, and "n-SD" thresholds.
Main Results:
- Variability in infarct size measurements reached up to 47% (ROI position), 48% (ROI size), and 40% ("n-SD").
- Low agreement was observed between the "n-SD from remote" method and core lab reference standards.
- Optimal "n-SD" thresholds exhibited high slice-by-slice variability (mean 5.3 ± 2.2).
Conclusions:
- The "n-SD from remote" method demonstrates significant unreliability for infarct quantification in LGE-CMR.
- Variability is influenced by ROI placement, size, "n-SD" threshold, and image acquisition parameters.
- The study recommends against using the "n-SD from remote" method and advocates for validated alternative approaches.

