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Updated: Aug 12, 2026

3D Whole-heart Myocardial Tissue Analysis
Published on: April 12, 2017
Blood correction reduces variability and gender differences in native myocardial T1 values at 1.5 T cardiovascular
Jannike Nickander1, Magnus Lundin1, Goran Abdula1
1Department of Clinical Physiology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden.
Insights
Correcting native myocardial T1 measurements for blood R1 and R1* improves precision by ~13%. This enhancement in myocardial T1 analysis can aid disease detection and reduce sample size requirements for clinical research.
Area of Science:
- Cardiovascular Imaging
- Magnetic Resonance Imaging
- Biomedical Engineering
Background:
- Myocardial native T1 measurements are susceptible to intramyocardial blood, leading to reduced precision.
- Blood T1 variability complicates accurate myocardial T1 assessment.
- A correction method is needed to improve the precision of myocardial T1 measurements.
Purpose of the Study:
- To investigate the impact of intramyocardial blood on myocardial T1 measurements.
- To develop and validate a correction model for native myocardial T1 using blood R1 and R1*.
- To assess the improvement in measurement precision and potential reduction in sample size.
Main Methods:
- A cohort of 400 patients undergoing cardiac MRI (CMR) was divided into derivation and validation groups.
- Native myocardial T1, blood T1, and T1* were measured using a Modified Look-Locker inversion recovery (MOLLI) sequence.
- A multivariate linear regression model was used to correct myocardial T1 based on blood R1, R1*, or hematocrit.
Main Results:
- Blood R1, R1*, and hematocrit showed significant correlations with myocardial T1, confirming blood influence.
- Correction using blood R1 and R1* reduced myocardial T1 standard deviation by ~13% in both cohorts.
- This reduction in variability suggests a potential 23% decrease in sample size for detecting T1 differences.
Conclusions:
- Correcting native myocardial T1 for blood R1 and R1* enhances measurement precision.
- Improved precision can lead to better disease detection in cardiovascular conditions.
- The developed correction method may reduce sample size needs for future clinical research.
Background:
Myocardial native T1 measurements are likely influenced by intramyocardial blood. Since blood T1 is both variable and longer compared to myocardial T1, this will degrade the precision of myocardial T1 measurements. Precision could be improved by correction, but the amount of correction and the optimal blood T1 variables to correct with are unknown. We hypothesized that an appropriate correction would reduce the standard deviation (SD) of native myocardial T1.
Methods:
Consecutive patients (n = 400) referred for CMR with known or suspected heart disease were split into a derivation cohort for model construction (n = 200, age 51 ± 18 years, 50% male) and a validation cohort for assessing model performance (n = 200, age 48 ± 17 years, 50% male). Exclusion criteria included focal septal abnormalities. A Modified Look-Locker inversion recovery sequence (MOLLI, 1.5 T Siemens Aera) was used to acquire T1 and T1* maps. T1 and T1* maps were used to measure native myocardial T1, and blood T1 and T1*. A multivariate linear regression correction model was implemented using blood measurement of R1 (1/T1), R1* (1/T1*) or hematocrit. The correction model from the derivation cohort was applied to the validation cohort, and assessed for reduction in variability with the F-test.
Results:
Blood [LV + RV] mean R1, mean R1* and hematocrit correlated with myocardial T1 (Pearson's r, range 0.37 to 0.45, p < 0.05 for all) in both the derivation and validation cohorts respectively, suggesting that myocardial T1 measurements are influenced by intramyocardial blood. Mean myocardial native T1 did not differ between the derivation and validation cohorts (1030 ± 42.6 ms and 1023 ± 45.2 ms respectively, p = 0.07). In the derivation cohort, correction using blood mean R1 and mean R1* yielded a decrease in myocardial T1 SD (45.2 ms to 36.6 ms, p = 0.03). When the model from the derivation cohort was applied to the validation cohort, the SD reduction was maintained (39.3 ms, p = 0.049). This 13% reduction in measurement variability leads to a 23% reduction in sample size to detect a 50 ms difference in native myocardial T1.
Conclusions:
Correcting native myocardial T1 for R1 and R1* of blood improves the precision of myocardial T1 measurement by ~13%, and could consequently improve disease detection and reduce sample size needs for clinical research.
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