Literature DB >> 33047177

Quantitative perfusion-CMR is significantly influenced by the placement of the arterial input function.

Ibnul Mia1,2, Melanie Le3, Christophe Arendt3, Diana Brand3, Sina Bremekamp3, Tommaso D'Angelo4, Valentina O Puntmann3, Eike Nagel3,5.   

Abstract

The aim of this study is to provide a systematic assessment of the influence of the position on the arterial input function (AIF) for perfusion quantification. In 39 patients with a wide range of left ventricular function the AIF was determined using a diluted contrast bolus of a cardiac magnetic resonance imaging in three left ventricular levels (basal, mid, apex) as well as aortic sinus (AoS). Time to peak signal intensities, baseline corrected peak signal intensity and upslopes were determined and compared to those obtained in the AoS. The error induced by sampling the AIF in a position different to the AoS was determined by Fermi deconvolution. The time to peak signal intensity was strongly correlated (r2 > 0.9) for all positions with a systematic earlier arrival in the basal (- 2153 ± 818 ms), the mid (- 1429 ± 928 ms) and the apical slice (- 450 ± 739 ms) relative to the AoS (all p < 0.001). Peak signal intensity as well as upslopes were strongly correlated (r2 > 0.9 for both) for all positions with a systematic overestimation in all positions relative to the AoS (all p < 0.001 and all p < 0.05). Differences between the positions were more pronounced for patients with reduced ejection fraction. The error of averaged MBF quantification was 8%, 13% and 27% for the base, mid and apex. The location of the AIF significantly influences core parameters for perfusion quantification with a systematic and ejection fraction dependent error. Full quantification should be based on obtaining the AIF as close as possible to the myocardium to minimize these errors.

Entities:  

Keywords:  Aortic input function; Cardiovascular magnetic resonance; Coronary artery disease; Ejection fraction; Heart failure; Myocardial perfusion; Signal intensity

Mesh:

Substances:

Year:  2020        PMID: 33047177      PMCID: PMC7969553          DOI: 10.1007/s10554-020-02049-3

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  14 in total

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Authors:  Breyoni S N Selvadurai; Valentina O Puntmann; David A Bluemke; Victor A Ferrari; Matthias G Friedrich; Christopher M Kramer; Raymond Y Kwong; Massimo Lombardi; Sanjay K Prasad; Frank E Rademakers; Alistair A Young; Raymond J Kim; Eike Nagel
Journal:  JACC Cardiovasc Imaging       Date:  2017-12-13

2.  Development of a universal dual-bolus injection scheme for the quantitative assessment of myocardial perfusion cardiovascular magnetic resonance.

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Review 3.  Quantification of myocardial perfusion by cardiovascular magnetic resonance.

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4.  Validation of magnetic resonance myocardial perfusion imaging with fractional flow reserve for the detection of significant coronary heart disease.

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Journal:  Circulation       Date:  2009-11-16       Impact factor: 29.690

5.  Magnetic Resonance Perfusion or Fractional Flow Reserve in Coronary Disease.

Authors:  Eike Nagel; John P Greenwood; Gerry P McCann; Nuno Bettencourt; Ajay M Shah; Shazia T Hussain; Divaka Perera; Sven Plein; Chiara Bucciarelli-Ducci; Matthias Paul; Mark A Westwood; Michael Marber; Wolf-Stefan Richter; Valentina O Puntmann; Carsten Schwenke; Jeanette Schulz-Menger; Rajiv Das; Joyce Wong; Derek J Hausenloy; Henning Steen; Colin Berry
Journal:  N Engl J Med       Date:  2019-06-20       Impact factor: 91.245

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Authors:  Yuka Otaki; Martin Lyngby Lassen; Osamu Manabe; Evann Eisenberg; Heidi Gransar; Frances Wang; Yoon Jae Lee; Evangelos Tzolos; Daniel S Berman; Piotr J Slomka
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Authors:  Christopher A Miller; Li-Yueh Hsu; Allison Ta; Hannah Conn; Susanne Winkler; Andrew E Arai
Journal:  J Cardiovasc Magn Reson       Date:  2015-02-11       Impact factor: 5.364

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Authors:  Henrik Engblom; Hui Xue; Shahnaz Akil; Marcus Carlsson; Cecilia Hindorf; Jenny Oddstig; Fredrik Hedeer; Michael S Hansen; Anthony H Aletras; Peter Kellman; Håkan Arheden
Journal:  J Cardiovasc Magn Reson       Date:  2017-10-19       Impact factor: 5.364

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Authors:  Hui Xue; Louise A E Brown; Sonia Nielles-Vallespin; Sven Plein; Peter Kellman
Journal:  Magn Reson Med       Date:  2019-08-23       Impact factor: 4.668

10.  Standardized image interpretation and post processing in cardiovascular magnetic resonance: Society for Cardiovascular Magnetic Resonance (SCMR) board of trustees task force on standardized post processing.

Authors:  Jeanette Schulz-Menger; David A Bluemke; Jens Bremerich; Scott D Flamm; Mark A Fogel; Matthias G Friedrich; Raymond J Kim; Florian von Knobelsdorff-Brenkenhoff; Christopher M Kramer; Dudley J Pennell; Sven Plein; Eike Nagel
Journal:  J Cardiovasc Magn Reson       Date:  2013-05-01       Impact factor: 5.364

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Journal:  Magn Reson Med       Date:  2022-01-09       Impact factor: 4.668

2.  Influence of the arterial input sampling location on the diagnostic accuracy of cardiovascular magnetic resonance stress myocardial perfusion quantification.

Authors:  Xenios Milidonis; Russell Franks; Torben Schneider; Javier Sánchez-González; Eva C Sammut; Sven Plein; Amedeo Chiribiri
Journal:  J Cardiovasc Magn Reson       Date:  2021-03-29       Impact factor: 5.364

  2 in total

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