Literature DB >> 27043156

Reproducibility of myocardial T1 and T2 relaxation time measurement using slice-interleaved T1 and T2 mapping sequences.

Steven Bellm1, Tamer A Basha1, Ravi V Shah1, Venkatesh L Murthy2, Charlene Liew1, Maxine Tang1, Long H Ngo1, Warren J Manning1,3, Reza Nezafat4.   

Abstract

PURPOSE: To assess measurement reproducibility and image quality of myocardial T1 and T2 maps using free-breathing slice-interleaved T1 and T2 mapping sequences at 1.5 Tesla (T).
MATERIALS AND METHODS: Eleven healthy subjects (33 ± 16 years; 6 males) underwent a slice-interleaved T1 and T2 mapping test/retest cardiac MR study at 1.5T on 2 days. For each day, subjects were imaged in two sessions with removal out of the magnet and repositioning before the subsequent session. We studied measurement reproducibility as well as the required sample size for sufficient statistical power to detect a predefined change in T1 and T2 . In a separate prospective study, we assessed T1 and T2 map image quality in 241 patients (54 ± 15 years; 73 women) with known/suspected cardiovascular disease referred for clinical cardiac MR. A subjective quality score was used to assess a segment-based image quality.
RESULTS: In the healthy cohort, the slice-interleaved T1 measurements were highly reproducible, with global coefficients of variation (CVs) of 2.4% between subjects, 2.1% between days, and 1.7% between sessions. Slice-interleaved T2 mapping sequences provided similar reproducibility with global CVs of 7.2% between subjects, 6.3% between days, and 5.0 between sessions. A lower variability resulted in a reduction of the required number of subjects to achieve a certain statistical power when compared with other T1 mapping sequences. In the subjective image quality assessment, >80% of myocardial segments had interpretable data.
CONCLUSION: Slice-interleaved T1 and T2 mapping sequences yield highly reproducible T1 and T2 measurements with >80% of interpretable myocardial segments. J. Magn. Reson. Imaging 2016;44:1159-1167.
© 2016 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  myocardial tissue characterization and relaxometry; sample size justification; slice-interleaved T1 and T2 mapping sequence

Mesh:

Year:  2016        PMID: 27043156     DOI: 10.1002/jmri.25255

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  7 in total

1.  Nonrigid active shape model-based registration framework for motion correction of cardiac T1 mapping.

Authors:  Hossam El-Rewaidy; Maryam Nezafat; Jihye Jang; Shiro Nakamori; Ahmed S Fahmy; Reza Nezafat
Journal:  Magn Reson Med       Date:  2018-01-03       Impact factor: 4.668

2.  Increased myocardial native T1 relaxation time in patients with nonischemic dilated cardiomyopathy with complex ventricular arrhythmia.

Authors:  Shiro Nakamori; An H Bui; Jihye Jang; Hossam A El-Rewaidy; Shingo Kato; Long H Ngo; Mark E Josephson; Warren J Manning; Reza Nezafat
Journal:  J Magn Reson Imaging       Date:  2017-07-24       Impact factor: 4.813

3.  Black blood myocardial T2 mapping.

Authors:  Chengyan Wang; Jihye Jang; Ulf Neisius; Maryam Nezafat; Ahmed Fahmy; Jinkyu Kang; Jennifer Rodriguez; Beth Goddu; Patrick Pierce; Sophie Berg; Jue Zhang; Xiaoying Wang; Reza Nezafat
Journal:  Magn Reson Med       Date:  2018-07-29       Impact factor: 4.668

4.  Automated Myocardial T2 and Extracellular Volume Quantification in Cardiac MRI Using Transfer Learning-based Myocardium Segmentation.

Authors:  Yanjie Zhu; Ahmed S Fahmy; Chong Duan; Shiro Nakamori; Reza Nezafat
Journal:  Radiol Artif Intell       Date:  2020-01-29

5.  Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: A consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI).

Authors:  Daniel R Messroghli; James C Moon; Vanessa M Ferreira; Lars Grosse-Wortmann; Taigang He; Peter Kellman; Julia Mascherbauer; Reza Nezafat; Michael Salerno; Erik B Schelbert; Andrew J Taylor; Richard Thompson; Martin Ugander; Ruud B van Heeswijk; Matthias G Friedrich
Journal:  J Cardiovasc Magn Reson       Date:  2017-10-09       Impact factor: 5.364

6.  Automated analysis of cardiovascular magnetic resonance myocardial native T1 mapping images using fully convolutional neural networks.

Authors:  Ahmed S Fahmy; Hossam El-Rewaidy; Maryam Nezafat; Shiro Nakamori; Reza Nezafat
Journal:  J Cardiovasc Magn Reson       Date:  2019-01-14       Impact factor: 5.364

7.  Measurement reproducibility of slice-interleaved T1 and T2 mapping sequences over 20 months: A single center study.

Authors:  Jihye Jang; Long H Ngo; Gabriella Captur; James C Moon; Reza Nezafat
Journal:  PLoS One       Date:  2019-07-25       Impact factor: 3.240

  7 in total

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