Literature DB >> 33139993

The 4D B-spline method of calculating left ventricular functional parameters of cardiac MRI to evaluate myocardial injury of the apical segment in patients with myocarditis: a case-controlled observational study.

Xin-Xiang Zhao1, Wei-Feng Yuan2.   

Abstract

BACKGROUND: Myocarditis does not have typical clinical manifestations and thus is difficult to accurately diagnose by virtue of infection history, and electrocardiogram (EKG) and peripheral blood abnormalities. Endomyocardial biopsy is the gold standard for diagnosis of myocarditis, but is invasive, high risk, and has an observational blind area. Cardiac magnetic resonance imaging (CMRI) is multiparameter and multidirectional with high spatial resolution and high contrast of soft tissue. However, the optimal method of calculating left ventricular (LV) function in patients with apical-segment-injured myocarditis is unresolved. We compared and analyzed the differences between two different methods (Simpson and 4D B-spline surface model (known as the 4D method)) of measuring LV function by CMRI in patients with myocarditis in the 17th segment of the left ventricle.
METHODS: The basic clinical data of two groups (myocarditis and non-myocarditis) were statistically analyzed, and differences in the LV function parameters by the two imaging methods were compared in the myocarditis group. Receiver-operating characteristic curves of single parameters and combined parameters based on the Simpson and 4D methods were drawn and the area under the curve, diagnostic threshold, maximum sensitivity interval, and maximum specificity interval were calculated.
RESULTS: In the myocarditis and non-myocarditis groups the respective number of patients was 22 and 17, the percentage of males was 54.55% and 47.06%, and the average age was 32.20±11.59 and 43.06±11.62 years. The difference in LV ejection fraction (LVEF) (P=0.033) and LV end systolic volume (LVESV) (P=0.030) in the myocarditis group was statistically significant. The respective AUCs based on the Simpson and 4D methods were LVEF 0.602 vs. 0.778, LVESV 0.556 vs. 0.751, LVEF-and-LVESV 0.634 vs. 0.775. Based on the 4D method, the diagnostic thresholds of LVEF and LVESV were 34.965 (sensitivity 0.882, specificity 0.591) and 69.090 (sensitivity 0.727, specificity 0.706), the maximum sensitivity intervals of LVEF and LVESV were (24.610, 27.450) and (35.355, 37.200), and the maximum specificity intervals of LVEF and LVESV were (60.530, 65.625) and (91.625, 95.835), respectively.
CONCLUSIONS: Compared with the Simpson method, the 4D method might be more effective for CMRI diagnosis of apical-segment-injured myocarditis. When the Simpson method is used, LVEF combined with LVESV is recommended for comprehensive evaluation to improve diagnostic efficiency. When the 4D method is used, LVEF might be the preferred parameter for evaluation of LV function. 2020 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Entities:  

Keywords:  Heart disease; heart function tests; magnetic resonance imaging (MRI)

Year:  2020        PMID: 33139993      PMCID: PMC7547266          DOI: 10.21037/qims-20-287

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  13 in total

1.  Model-based processing scheme for quantitative 4-D cardiac MRI analysis.

Authors:  George Stalidis; Nicos Maglaveras; Serafim N Efstratiadis; Athanasios S Dimitriadis; Costas Pappas
Journal:  IEEE Trans Inf Technol Biomed       Date:  2002-03

2.  4D cardiac MRI in the mouse.

Authors:  Akiva Feintuch; Yonghong Zhu; Jonathan Bishop; Lorinda Davidson; Jun Dazai; Benoit G Bruneau; R Mark Henkelman
Journal:  NMR Biomed       Date:  2007-05       Impact factor: 4.044

Review 3.  Viral myocarditis: from the perspective of the virus.

Authors:  Toshitaka Yajima; Kirk U Knowlton
Journal:  Circulation       Date:  2009-05-19       Impact factor: 29.690

4.  Cardiac magnetic resonance assessment of myocarditis.

Authors:  Matthias G Friedrich; François Marcotte
Journal:  Circ Cardiovasc Imaging       Date:  2013-09       Impact factor: 7.792

5.  Predictors, Burden, and the Impact of Arrhythmia on Patients Admitted for Acute Myocarditis.

Authors:  Oluwole Adegbala; Olakanmi Olagoke; Emmanuel Akintoye; Adeyinka Charles Adejumo; Adegbola Oluwole; Christina Jara; Karlene Williams; Alexandros Briasoulis; Luis Afonso
Journal:  Am J Cardiol       Date:  2018-09-27       Impact factor: 2.778

6.  Use of troponin-T concentration and kinase isoforms for quantitation of myocardial injury induced by radiofrequency catheter ablation.

Authors:  D Katritsis; M Hossein-Nia; A Anastasakis; I Poloniecki; D W Holt; A J Camm; D E Ward; E Rowland
Journal:  Eur Heart J       Date:  1997-06       Impact factor: 29.983

7.  Left ventricular measurements with cine and spin-echo MR imaging: a study of reproducibility with variance component analysis.

Authors:  P M Pattynama; H J Lamb; E A van der Velde; E E van der Wall; A de Roos
Journal:  Radiology       Date:  1993-04       Impact factor: 11.105

8.  Improved Dynamic Cardiac Phantom Based on 4D NURBS and Tagged MRI.

Authors:  W Paul Segars; David S Lalush; Eric C Frey; Dinesh Manocha; Michael A King; Benjamin M W Tsui
Journal:  IEEE Trans Nucl Sci       Date:  2009-10-01       Impact factor: 1.679

9.  Assessment of myocardial fibrosis using T1-mapping and extracellular volume measurement on cardiac magnetic resonance imaging for the diagnosis of radiation-induced cardiomyopathy.

Authors:  Natsuko Mukai-Yatagai; Nobuhiko Haruki; Yoshiharu Kinugasa; Yasutoshi Ohta; Hatsue Ishibashi-Ueda; Toshihiko Akasaka; Masahiko Kato; Toshihide Ogawa; Kazuhiro Yamamoto
Journal:  J Cardiol Cases       Date:  2018-06-30

10.  Cardiovascular magnetic resonance in myocarditis: A JACC White Paper.

Authors:  Matthias G Friedrich; Udo Sechtem; Jeanette Schulz-Menger; Godtfred Holmvang; Pauline Alakija; Leslie T Cooper; James A White; Hassan Abdel-Aty; Matthias Gutberlet; Sanjay Prasad; Anthony Aletras; Jean-Pierre Laissy; Ian Paterson; Neil G Filipchuk; Andreas Kumar; Matthias Pauschinger; Peter Liu
Journal:  J Am Coll Cardiol       Date:  2009-04-28       Impact factor: 24.094

View more
  1 in total

1.  Relative basal myocardial weakness: differentiating dermatomyositis and polymyositis with cardiac involvement from viral myocarditis using speckle-tracking echocardiography and quantification of myocardial work.

Authors:  Xiaohang Liu; Fan Jin; Tianchen Guo; Qian Wang; Ligang Fang; Wei Chen
Journal:  Quant Imaging Med Surg       Date:  2022-07
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.