Literature DB >> 24123261

Cardiac R2* values are independent of the image analysis approach employed.

Antonella Meloni1, Hugh Young Rienhoff, Amber Jones, Alessia Pepe, Massimo Lombardi, John C Wood.   

Abstract

PURPOSE: To determine whether systematic differences were present between myocardial R2* values obtained with two different decay models: truncation and exponential + constant (Exp-C).
METHODS: Single-center cohorts were used to compare black and bright blood sequences separately, and a multicenter cohort of mixed bright and black blood studies was used to assess the generalizability. Truncated exponential estimates were calculated with CMRtools, which uses a single region of interest (ROI) method. Exp-C estimates were calculated using a pixelwise approach.
RESULTS: No differences could be distinguished based upon whether a white or black blood sequence was examined. The two fitting algorithms yielded similar R2* values, with R-squared values exceeding 0.997 and a coefficient of variation of 3% to 4%. Results using the pixelwise method yielded a small systematic bias (∼3%) that became apparent in patients with severe iron deposition. This disparity disappeared when Exp-C fitting was used on a single ROI, suggesting that the use of pixelwise mapping was responsible for the bias. In the multicenter cohort, the strong agreement between the two fitting approaches was reconfirmed.
CONCLUSION: Cardiac R2* values are independent of the signal model used for its calculation over clinically relevant ranges. Clinicians can compare results among centers using these disparate approaches with confidence.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  cardiac R2*; cardiovascular magnetic resonance; image analysis; iron overload

Mesh:

Year:  2013        PMID: 24123261      PMCID: PMC4293021          DOI: 10.1002/mrm.24942

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  23 in total

1.  Cardiovascular T2-star (T2*) magnetic resonance for the early diagnosis of myocardial iron overload.

Authors:  L J Anderson; S Holden; B Davis; E Prescott; C C Charrier; N H Bunce; D N Firmin; B Wonke; J Porter; J M Walker; D J Pennell
Journal:  Eur Heart J       Date:  2001-12       Impact factor: 29.983

2.  Myocardial iron loading in transfusion-dependent thalassemia and sickle cell disease.

Authors:  John C Wood; J Michael Tyszka; Susan Carson; Marvin D Nelson; Thomas D Coates
Journal:  Blood       Date:  2003-11-20       Impact factor: 22.113

3.  Improved R2* measurements in myocardial iron overload.

Authors:  Nilesh R Ghugre; Cathleen M Enriquez; Thomas D Coates; Marvin D Nelson; John C Wood
Journal:  J Magn Reson Imaging       Date:  2006-01       Impact factor: 4.813

4.  Multislice multiecho T2* cardiovascular magnetic resonance for detection of the heterogeneous distribution of myocardial iron overload.

Authors:  Alessia Pepe; Vincenzo Positano; Maria Filomena Santarelli; Fortunato Sorrentino; Eliana Cracolici; Daniele De Marchi; Aurelio Maggio; Massimo Midiri; Luigi Landini; Massimo Lombardi
Journal:  J Magn Reson Imaging       Date:  2006-05       Impact factor: 4.813

5.  Multi-center validation of the transferability of the magnetic resonance T2* technique for the quantification of tissue iron.

Authors:  Mark A Tanner; Taigang He; Mark A Westwood; David N Firmin; Dudley J Pennell
Journal:  Haematologica       Date:  2006-10       Impact factor: 9.941

6.  Intercentre reproducibility of magnetic resonance T2* measurements of myocardial iron in thalassaemia.

Authors:  Mark A Westwood; David N Firmin; Matta Gildo; Galanello Renzo; Gotsis Stathis; Karagiorga Markissia; Berdoukas Vasili; Dudley J Pennell
Journal:  Int J Cardiovasc Imaging       Date:  2005-10       Impact factor: 2.357

7.  MRI detects myocardial iron in the human heart.

Authors:  Nilesh R Ghugre; Cathleen M Enriquez; Ignacio Gonzalez; Marvin D Nelson; Thomas D Coates; John C Wood
Journal:  Magn Reson Med       Date:  2006-09       Impact factor: 4.668

8.  Mechanisms of tissue-iron relaxivity: nuclear magnetic resonance studies of human liver biopsy specimens.

Authors:  Nilesh R Ghugre; Thomas D Coates; Marvin D Nelson; John C Wood
Journal:  Magn Reson Med       Date:  2005-11       Impact factor: 4.668

Review 9.  Physiology and pathophysiology of iron cardiomyopathy in thalassemia.

Authors:  John C Wood; Cathleen Enriquez; Nilesh Ghugre; Maya Otto-Duessel; Michelle Aguilar; Marvin D Nelson; Rex Moats; Thomas D Coates
Journal:  Ann N Y Acad Sci       Date:  2005       Impact factor: 5.691

10.  A T2* magnetic resonance imaging study of pancreatic iron overload in thalassemia major.

Authors:  Wing-Yan Au; Wynnie Wai-Man Lam; Winnie Chu; Sidney Tam; Wai-Keng Wong; Raymond Liang; Shau-Yin Ha
Journal:  Haematologica       Date:  2008-01       Impact factor: 9.941

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  4 in total

Review 1.  Pancreatic iron quantification with MR imaging: a practical guide.

Authors:  Antonella Meloni; Vincenzo Positano; Laura Pistoia; Filippo Cademartiri
Journal:  Abdom Radiol (NY)       Date:  2022-05-21

2.  Validation of a new T2* algorithm and its uncertainty value for cardiac and liver iron load determination from MRI magnitude images.

Authors:  Sebastian Bidhult; Christos G Xanthis; Love Lindau Liljekvist; Gerald Greil; Eike Nagel; Anthony H Aletras; Einar Heiberg; Erik Hedström
Journal:  Magn Reson Med       Date:  2015-05-22       Impact factor: 4.668

3.  Semi-automated myocardial segmentation of bright blood multi-gradient echo images improves reproducibility of myocardial contours and T2* determination.

Authors:  Pandji Triadyaksa; Niek H J Prakken; Jelle Overbosch; Robin B Peters; J Martijn van Swieten; Matthijs Oudkerk; Paul E Sijens
Journal:  MAGMA       Date:  2016-12-16       Impact factor: 2.310

Review 4.  Cardiac T2 * mapping: Techniques and clinical applications.

Authors:  Pandji Triadyaksa; Matthijs Oudkerk; Paul E Sijens
Journal:  J Magn Reson Imaging       Date:  2019-12-14       Impact factor: 4.813

  4 in total

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