Literature DB >> 28545684

MRI of cystic fibrosis lung manifestations: sequence evaluation and clinical outcome analysis.

O Scholz1, T Denecke1, J Böttcher2, C Schwarz3, H-J Mentzel4, F Streitparth1, M H Maurer1, A Pfeil5, A Huppertz1, A Mehl3, D Staab3, B Hamm1, D M Renz6.   

Abstract

AIM: To evaluate different magnetic resonance imaging (MRI) sequences for diagnosis of pulmonary manifestations of cystic fibrosis (CF) in comparison to chest computed tomography (CT), including an extended outcome analysis.
MATERIALS AND METHODS: Twenty-eight patients with CF (15 male, 13 female, mean age 30.5±9.4 years) underwent CT and MRI of the lung. MRI (1.5 T) included different T2- and T1-weighted sequences: breath-hold HASTE (half Fourier acquisition single shot turbo spin echo) and VIBE (volumetric interpolated breath-hold examination, before and after contrast medium administration) sequences and respiratory-triggered PROPELLER (periodically rotated overlapping parallel lines with enhanced reconstruction) sequences with and without fat signal suppression, and perfusion imaging. CT and MRI images were evaluated by the modified Helbich and the Eichinger scoring systems. The clinical follow-up analysis assessed pulmonary exacerbations within 24 months.
RESULTS: The highest concordance to CT was achieved for the PROPELLER sequences without fat signal suppression (concordance correlation coefficient CCC of the overall modified Helbich score 0.93 and of the overall Eichinger score 0.93). The other sequences had the following concordance: PROPELLER with fat signal suppression (CCCs 0.91 and 0.92), HASTE (CCCs 0.87 and 0.89), VIBE (CCCs 0.84 and 0.85) sequences. In the outcome analysis, the combined MRI analysis of all five sequences and a specific MRI protocol (PROPELLER without fast signal suppression, VIBE sequences, perfusion imaging) reached similar correlations to the number of pulmonary exacerbations as the CT examinations.
CONCLUSION: An optimum lung MRI protocol in patients with CF consists of PROPELLER sequences without fat signal suppression, VIBE sequences, and lung perfusion analysis to enable high diagnostic efficacy and outcome prediction.
Copyright © 2017 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28545684     DOI: 10.1016/j.crad.2017.03.017

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  5 in total

1.  Structural and perfusion magnetic resonance imaging of the lung in cystic fibrosis.

Authors:  Christina Amaxopoulou; Ralph Gnannt; Kai Higashigaito; Andreas Jung; Christian J Kellenberger
Journal:  Pediatr Radiol       Date:  2017-11-15

Review 2.  Current state of the art MRI for the longitudinal assessment of cystic fibrosis.

Authors:  Jason C Woods; Jim M Wild; Mark O Wielpütz; John P Clancy; Hiroto Hatabu; Hans-Ulrich Kauczor; Edwin J R van Beek; Talissa A Altes
Journal:  J Magn Reson Imaging       Date:  2019-12-17       Impact factor: 4.813

3.  Ultrashort echo time MRI of the lung in children and adolescents: comparison with non-enhanced computed tomography and standard post-contrast T1w MRI sequences.

Authors:  Diane M Renz; Karl-Heinz Herrmann; Martin Kraemer; Joachim Boettcher; Matthias Waginger; Paul-Christian Krueger; Alexander Pfeil; Florian Streitparth; Karim Kentouche; Bernd Gruhn; Jochen G Mainz; Martin Stenzel; Ulf K Teichgraeber; Juergen R Reichenbach; Hans-Joachim Mentzel
Journal:  Eur Radiol       Date:  2021-10-20       Impact factor: 7.034

4.  Correction for Magnetic Field Inhomogeneities and Normalization of Voxel Values Are Needed to Better Reveal the Potential of MR Radiomic Features in Lung Cancer.

Authors:  Maxime Lacroix; Frédérique Frouin; Anne-Sophie Dirand; Christophe Nioche; Fanny Orlhac; Jean-François Bernaudin; Pierre-Yves Brillet; Irène Buvat
Journal:  Front Oncol       Date:  2020-01-31       Impact factor: 6.244

Review 5.  [Chest X-rays in children and adolescents : Indications and limitations].

Authors:  Diane Miriam Renz; Carolin Huisinga; Alexander Pfeil; Joachim Böttcher; Nicolaus Schwerk; Florian Streitparth; Jürgen Weidemann
Journal:  Radiologe       Date:  2022-01-18       Impact factor: 0.635

  5 in total

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