Literature DB >> 17205488

Standardized T2* map of normal human heart in vivo to correct T2* segmental artefacts.

Vincenzo Positano1, Alessia Pepe, Maria Filomena Santarelli, Barbara Scattini, Daniele De Marchi, Anna Ramazzotti, Gianluca Forni, Caterina Borgna-Pignatti, Maria Eliana Lai, Massimo Midiri, Aurelio Maggio, Massimo Lombardi, Luigi Landini.   

Abstract

A segmental, multislice, multi-echo T2* MRI approach could be useful in heart iron-overloaded patients to account for heterogeneous iron distribution, demonstrated by histological studies. However, segmental T2* assessment in heart can be affected by the presence of geometrical and susceptibility artefacts, which can act on different segments in different ways. The aim of this study was to assess T2* value distribution in the left ventricle and to develop a correction procedure to compensate for artefactual variations in segmental analysis. MRI was performed in four groups of 22 subjects each: healthy subjects (I), controls (II) (thalassemia intermedia patients without iron overload), thalassemia major patients with mild (III) and heavy (IV) iron overload. Three short-axis views (basal, median, and apical) of the left ventricle were obtained and analyzed using custom-written, previously validated software. The myocardium was automatically segmented into a 16-segment standardized heart model, and the mean T2* value for each segment was calculated. Punctual distribution of T2* over the myocardium was assessed, and T2* inhomogeneity maps for the three slices were obtained. In group I, no significant variation in the mean T2* among slices was found. T2* showed a characteristic circumferential variation in all three slices. The effect of susceptibility differences induced by cardiac veins was evident, together with low-scale variations induced by geometrical artefacts. Using the mean segmental deviations as correction factors, an artefact correction map was developed and used to normalize segmental data. The correction procedure was validated on group II. Group IV showed no significant presence of segmental artefacts, confirming the hypothesis that susceptibility artefacts are additive in nature and become negligible for high levels of iron overload. Group III showed a greater variability with respect to normal subjects. The correction map failed to compensate for these variations if both additive and percentage-based corrections were applied. This may reinforce the hypothesis that true inhomogeneity in iron deposition exists. John Wiley & Sons, Ltd.

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Year:  2007        PMID: 17205488     DOI: 10.1002/nbm.1121

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  40 in total

1.  Detection of myocardial iron overload by two-dimensional speckle tracking in patients with beta-thalassaemia major: a combined echocardiographic and T2* segmental CMR study.

Authors:  Fausto Pizzino; Antonella Meloni; Anna Terrizzi; Tommaso Casini; Anna Spasiano; Carlo Cosmi; Massimo Allò; Concetta Zito; Scipione Carerj; Giovanni Donato Aquaro; Gianluca Di Bella; Alessia Pepe
Journal:  Int J Cardiovasc Imaging       Date:  2017-08-02       Impact factor: 2.357

2.  Rapid monitoring of iron-chelating therapy in thalassemia major by a new cardiovascular MR measure: the reduced transverse relaxation rate.

Authors:  Daniel Kim; Jens H Jensen; Ed X Wu; Li Feng; Wing-Yan Au; Jerry S Cheung; Shau-Yin Ha; Sujit S Sheth; Gary M Brittenham
Journal:  NMR Biomed       Date:  2010-12-28       Impact factor: 4.044

3.  Cardiac T2* and lipid measurement at 3.0 T-initial experience.

Authors:  Declan P O'Regan; Martina F Callaghan; Julie Fitzpatrick; Rossi P Naoumova; Joseph V Hajnal; Stephan A Schmitz
Journal:  Eur Radiol       Date:  2007-11-23       Impact factor: 5.315

4.  Autoregressive moving average modeling for spectral parameter estimation from a multigradient echo chemical shift acquisition.

Authors:  Brian A Taylor; Ken-Pin Hwang; John D Hazle; R Jason Stafford
Journal:  Med Phys       Date:  2009-03       Impact factor: 4.071

Review 5.  Evaluation of myocardial iron overload using magnetic resonance imaging.

Authors:  Sophie Mavrogeni
Journal:  Blood Transfus       Date:  2009-07       Impact factor: 3.443

6.  Heart and liver T2 assessment for iron overload using different software programs.

Authors:  Juliano L Fernandes; Erika Fontana Sampaio; Monica Verissimo; Fabricio B Pereira; Jose Alvaro da Silva; Gabriel S de Figueiredo; Jose M Kalaf; Otavio R Coelho
Journal:  Eur Radiol       Date:  2011-08-13       Impact factor: 5.315

7.  Feasibility of [(123)I]-meta-iodobenzylguanidine dynamic 3-D kinetic analysis in vivo using a CZT ultrafast camera: preliminary results.

Authors:  Erica Tinti; Vincenzo Positano; Assuero Giorgetti; Paolo Marzullo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-09-20       Impact factor: 9.236

8.  Non-compact myocardium assessment by cardiac magnetic resonance: dependence on image analysis method.

Authors:  Vincenzo Positano; Antonella Meloni; Francesca Macaione; Maria Filomena Santarelli; Laura Pistoia; Andrea Barison; Salvatore Novo; Alessia Pepe
Journal:  Int J Cardiovasc Imaging       Date:  2018-03-09       Impact factor: 2.357

9.  Predicting factors for liver iron overload at the first magnetic resonance in children with thalassaemia major.

Authors:  Maddalena Casale; Maria Marsella; Massimiliano Ammirabile; Anna Spasiano; Silvia Costantini; Patrizia Cinque; Paolo Ricchi; Aldo Filosa
Journal:  Blood Transfus       Date:  2018-06-26       Impact factor: 3.443

10.  Myocardial T2* measurements in iron-overloaded thalassemia: An in vivo study to investigate optimal methods of quantification.

Authors:  Taigang He; Peter D Gatehouse; Gillian C Smith; Raad H Mohiaddin; Dudley J Pennell; David N Firmin
Journal:  Magn Reson Med       Date:  2008-11       Impact factor: 4.668

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