Literature DB >> 34330214

Extracellular volume quantification using synthetic haematocrit assessed from native and post-contrast longitudinal relaxation T1 times of a blood pool.

Lukas Opatril1,2,3, Roman Panovsky4,5,6,7, Jan Machal2,8, Tomas Holecek2,9, Lucia Masarova1,2,3, Vera Feitova2,9, Vladimir Kincl1,2,3, Marek Hodejovsky3, Lenka Spinarova1,3.   

Abstract

BACKGROUND: In terms of cardiovascular magnetic resonance are haematocrit values required for calculation of extracellular volume fraction (ECV). Previously published studies have hypothesized that haematocrit could be calculated from T1 blood pool relaxation time, however only native T1 relaxation time values have been used and the resulting formulae had been both in reciprocal and linear proportion. The aim of the study was to generate a synthetic haematocrit formula from only native relaxation time values first, calculate whether linear or reciprocal model is more precise in haematocrit estimation and then determine whether adding post-contrast values further improve its precision.
METHODS: One hundred thirty-nine subjects underwent CMR examination. Haematocrit was measured using standard laboratory methods. Afterwards T1 relaxation times before and after the application of a contrast agent were measured and a statistical relationship between these values was calculated.
RESULTS: Different linear and reciprocal models were created to estimate the value of synthetic haematocrit and ECV. The highest coefficient of determination was observed in the combined reciprocal model "- 0.047 + (779/ blood native) - (11.36/ blood post-contrast)".
CONCLUSIONS: This study provides more evidence that assessing synthetic haematocrit and synthetic ECV is feasible and statistically most accurate model to use is reciprocal. Adding post-contrast values to the calculation was proved to improve the precision of the formula statistically significantly.
© 2021. The Author(s).

Entities:  

Keywords:  CMR; Cardiovascular magnetic resonance; ECV; Extracellular volume; Synthetic haematocrit

Year:  2021        PMID: 34330214     DOI: 10.1186/s12872-021-02179-z

Source DB:  PubMed          Journal:  BMC Cardiovasc Disord        ISSN: 1471-2261            Impact factor:   2.298


  18 in total

1.  Extracellular volume imaging by magnetic resonance imaging provides insights into overt and sub-clinical myocardial pathology.

Authors:  Martin Ugander; Abiola J Oki; Li-Yueh Hsu; Peter Kellman; Andreas Greiser; Anthony H Aletras; Christopher T Sibley; Marcus Y Chen; W Patricia Bandettini; Andrew E Arai
Journal:  Eur Heart J       Date:  2012-01-24       Impact factor: 29.983

2.  Cardiovascular magnetic resonance measurement of myocardial extracellular volume in health and disease.

Authors:  Daniel M Sado; Andrew S Flett; Sanjay M Banypersad; Steven K White; Viviana Maestrini; Giovanni Quarta; Robin H Lachmann; Elaine Murphy; Atul Mehta; Derralynn A Hughes; William J McKenna; Andrew M Taylor; Derek J Hausenloy; Philip N Hawkins; Perry M Elliott; James C Moon
Journal:  Heart       Date:  2012-08-30       Impact factor: 5.994

3.  Myocardial extracellular volume fraction quantified by cardiovascular magnetic resonance is increased in diabetes and associated with mortality and incident heart failure admission.

Authors:  Timothy C Wong; Kayla M Piehler; Ian A Kang; Ajay Kadakkal; Peter Kellman; David S Schwartzman; Suresh R Mulukutla; Marc A Simon; Sanjeev G Shroff; Lewis H Kuller; Erik B Schelbert
Journal:  Eur Heart J       Date:  2013-06-11       Impact factor: 29.983

4.  Association between extracellular matrix expansion quantified by cardiovascular magnetic resonance and short-term mortality.

Authors:  Timothy C Wong; Kayla Piehler; Christopher G Meier; Stephen M Testa; Amanda M Klock; Ali A Aneizi; Jonathan Shakesprere; Peter Kellman; Sanjeev G Shroff; David S Schwartzman; Suresh R Mulukutla; Marc A Simon; Erik B Schelbert
Journal:  Circulation       Date:  2012-07-31       Impact factor: 29.690

5.  Evaluation of post-contrast myocardial t1 in duchenne muscular dystrophy using cardiac magnetic resonance imaging.

Authors:  Jonathan H Soslow; Bruce M Damon; Benjamin R Saville; Zengqi Lu; W Bryan Burnette; Mark A Lawson; David A Parra; Douglas B Sawyer; Larry W Markham
Journal:  Pediatr Cardiol       Date:  2014-07-29       Impact factor: 1.655

6.  Native T1 mapping in differentiation of normal myocardium from diffuse disease in hypertrophic and dilated cardiomyopathy.

Authors:  Valentina O Puntmann; Tobias Voigt; Zhong Chen; Manuel Mayr; Rashed Karim; Kawal Rhode; Ana Pastor; Gerald Carr-White; Reza Razavi; Tobias Schaeffter; Eike Nagel
Journal:  JACC Cardiovasc Imaging       Date:  2013-03-14

Review 7.  Myocardial T1 mapping and extracellular volume quantification: a Society for Cardiovascular Magnetic Resonance (SCMR) and CMR Working Group of the European Society of Cardiology consensus statement.

Authors:  James C Moon; Daniel R Messroghli; Peter Kellman; Stefan K Piechnik; Matthew D Robson; Martin Ugander; Peter D Gatehouse; Andrew E Arai; Matthias G Friedrich; Stefan Neubauer; Jeanette Schulz-Menger; Erik B Schelbert
Journal:  J Cardiovasc Magn Reson       Date:  2013-10-14       Impact factor: 5.364

8.  Normal variation of magnetic resonance T1 relaxation times in the human population at 1.5 T using ShMOLLI.

Authors:  Stefan K Piechnik; Vanessa M Ferreira; Adam J Lewandowski; Ntobeko A B Ntusi; Rajarshi Banerjee; Cameron Holloway; Mark B M Hofman; Daniel M Sado; Viviana Maestrini; Steven K White; Merzaka Lazdam; Theodoros Karamitsos; James C Moon; Stefan Neubauer; Paul Leeson; Matthew D Robson
Journal:  J Cardiovasc Magn Reson       Date:  2013-01-20       Impact factor: 5.364

9.  Synthetic hematocrit derived from the longitudinal relaxation of blood can lead to clinically significant errors in measurement of extracellular volume fraction in pediatric and young adult patients.

Authors:  Frank J Raucci; David A Parra; Jason T Christensen; Lazaro E Hernandez; Larry W Markham; Meng Xu; James C Slaughter; Jonathan H Soslow
Journal:  J Cardiovasc Magn Reson       Date:  2017-08-02       Impact factor: 5.364

10.  Extracellular volume quantification by cardiac magnetic resonance imaging without hematocrit sampling : Ready for prime time?

Authors:  Andreas A Kammerlander; Franz Duca; Christina Binder; Stefan Aschauer; Caroline Zotter-Tufaro; Matthias Koschutnik; Beatrice A Marzluf; Diana Bonderman; Julia Mascherbauer
Journal:  Wien Klin Wochenschr       Date:  2017-10-04       Impact factor: 1.704

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