Literature DB >> 32154772

Early T1 Myocardial MRI Mapping: Value in Detecting Myocardial Hyperemia in Acute Myocarditis.

Anna Palmisano1, Giulia Benedetti1, Riccardo Faletti1, Paola M V Rancoita1, Marco Gatti1, Giovanni Peretto1, Simone Sala1, Edda Boccia1, Marco Francone1, Nicola Galea1, Cristina Basso1, Alessandro Del Maschio1, Francesco De Cobelli1, Antonio Esposito1.   

Abstract

Background Hyperemia is a key component of acute myocarditis (AM). Early gadolinium uptake because of myocardial hyperemia may be quantified by using T1 mapping. Purpose To evaluate the value of early enhanced T1 shortening for the diagnosis of acute myocarditis. Materials and Methods Study participants suspected of having AM and healthy control (HC) participants were prospectively enrolled from September 2016 to May 2019. Participants underwent 1.5-T cardiac MRI including Lake Louise criteria, T2 mapping, native T1, and extracellular volume, with the addition of early enhanced T1 mapping (2 minutes after intravenous administration of 0.15 mmol/kg gadobutrol). Color-coded maps of the percentage of T1 shortening from precontrast to early postcontrast were generated. Optimal early T1 shortening cut-off value and its diagnostic performance in the identification of acute myocarditis were calculated. Results Forty-five study participants with AM (median age, 40 years; interquartile range [IQR], 20-46 years; 22 women) diagnosed according to multidisciplinary clinical evaluation, electrocardiography, laboratory test, echocardiography, cardiac MRI, and coronary CT and/or invasive angiography. Findings were confirmed by endomyocardial biopsy in 64% (29 of 45) of participants. MRI parameters were compared with 19 HC participants (median age, 39 years; IQR, 28-46 years; seven women). Median early T1 shortening was 75% (IQR, 72%-78%) in participants with AM versus 65% (IQR, 61%-66%) in HC participants (P < .001). Early T1 shortening showed high diagnostic performance (area under the receiver operating characteristic curve [AUC], 0.97; 95% confidence interval [CI]: 0.94, 1.00) and excellent interobserver reproducibility (intraclass correlation coefficient: 0.98; 95% CI: 0.96, 1.00). Early T1 shortening of 70% or greater identified acute myocarditis with 93% sensitivity, 100% specificity, and 95% diagnostic accuracy. Early T1 shortening had better diagnostic performance than late percentage T1 shortening (AUC, 0.97 vs 0.90, respectively; P = .03) and extracellular volume (AUC, 0.97 vs 0.88, respectively; P = .046), and similar to native T1 (AUC, 0.97 vs 0.93, respectively; P = .63) and T2 mapping (AUC, 0.97 vs 0.97, respectively; P > .99). Conclusion In this proof-of-concept study, percentage of T1 shortening at early enhanced T1 mapping showed high accuracy for the diagnosis of acute myocarditis. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by De Cecco and Monti in this issue.

Entities:  

Year:  2020        PMID: 32154772     DOI: 10.1148/radiol.2020191623

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  6 in total

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Journal:  Clin Rev Allergy Immunol       Date:  2022-01-24       Impact factor: 8.667

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Authors:  Domenico Filomena; Tom Dresselaers; Jan Bogaert
Journal:  Front Cardiovasc Med       Date:  2022-07-06

Review 3.  Rapid MR relaxometry using deep learning: An overview of current techniques and emerging trends.

Authors:  Li Feng; Dan Ma; Fang Liu
Journal:  NMR Biomed       Date:  2020-10-15       Impact factor: 4.478

Review 4.  Heart and Lung Multimodality Imaging in COVID-19.

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Journal:  JACC Cardiovasc Imaging       Date:  2020-06-24

5.  Use of the new Lake Louise Criteria improves CMR detection of atypical forms of acute myocarditis.

Authors:  Giulia Cundari; Nicola Galea; Gianluca De Rubeis; Andrea Frustaci; Francesco Cilia; Giuseppe Mancuso; Livia Marchitelli; Federica Catapano; Iacopo Carbone; Carlo Catalano; Marco Francone
Journal:  Int J Cardiovasc Imaging       Date:  2020-11-15       Impact factor: 2.357

Review 6.  Advanced cardiac imaging in athlete's heart: unravelling the grey zone between physiologic adaptation and pathology.

Authors:  Anna Palmisano; Fatemeh Darvizeh; Giulia Cundari; Giuseppe Rovere; Giovanni Ferrandino; Valeria Nicoletti; Francesco Cilia; Silvia De Vizio; Roberto Palumbo; Antonio Esposito; Marco Francone
Journal:  Radiol Med       Date:  2021-08-22       Impact factor: 3.469

  6 in total

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