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Summary
This summary is machine-generated.

Clinically used cardiac MRI T1 mapping sequences accurately measure extracellular volume fraction (ECV) in pigs, though some sequences overestimate ECV in infarct and remote regions compared to a SPECT reference standard.

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Area of Science:

  • Cardiovascular Imaging
  • Radiology
  • Medical Physics

Background:

  • Cardiac MRI T1 mapping sequences are clinically used to measure extracellular volume fraction (ECV).
  • Accurate ECV measurement is crucial for diagnosing and managing various cardiac pathologies.
  • Independent validation of these sequences against a reference standard is necessary.

Purpose of the Study:

  • To verify the accuracy of clinically used cardiac MRI T1 mapping sequences for measuring ECV.
  • To assess ECV measurement accuracy across a spectrum of pathologic values using an independent reference standard.
  • To compare ECV measurements from different T1 mapping sequences (MOLLI and SASHA) against ex vivo SPECT.

Main Methods:

  • Acute myocardial ischemia was induced in six pigs, followed by 7 days of reperfusion.
  • In vivo ECV was measured using three modified Look-Locker inversion recovery (MOLLI) and one saturation recovery single-shot acquisition (SASHA) sequences.
  • Ex vivo SPECT imaging with technetium 99m diethylenetriamine pentaacetic acid served as the reference standard for ECV calculation.

Main Results:

  • All T1 mapping sequences demonstrated high correlation with the reference standard (r² range, 0.71-0.99).
  • MOLLI 5(3)3 and MOLLI 5s(3s)3s sequences overestimated ECV in the infarct region compared to SPECT.
  • All sequences, including SASHA, showed ECV overestimation in the remote myocardium compared to the reference standard.

Conclusions:

  • Clinically used cardiac MRI T1 mapping sequences show high correlation with a radioisotope-based reference standard for ECV measurement.
  • Certain MOLLI sequences may overestimate ECV in infarct and remote myocardial regions.
  • This study validates the use of T1 mapping sequences for ECV quantification, highlighting potential biases in specific sequences.