Dataset Information

Bioimpedance Spectroscopy Reveals Important Association of Fluid Status and T₁ -Mapping by Cardiovascular Magnetic Resonance.

ABSTRACT:

Background

Extracellular matrix expansion is a key pathophysiologic feature in heart failure and can be quantified noninvasively by cardiac magnetic resonance T₁ -mapping. Free water within the interstitial space of the myocardium, however, may also alter T₁ -mapping results.

Purpose

To investigate the association between systemic fluid status and T₁ -mapping by cardiac magnetic resonance.

Study type

Prospective, observational single-center study.

Population

Two-hundred eighty-five consecutive patients (44.4% female, 70.0 ± 14.9 years old) scheduled for cardiac MR due to various cardiac diseases.

Sequence and field strength

1.5-T scanner (Avanto Fit, Siemens Healthineers, Erlangen, Germany). For T₁ -mapping, electrocardiographically triggered modified-Look-Locker inversion (MOLLI) recovery sequence using a 5(3)3 prototype on a short-axis mid-cavity slice and with a four-chamber view was performed.

Assessments

MR parameters including native myocardial T₁ -times using MOLLI and extracellular volume (MR-ECV) were assessed, and additionally, we performed bioimpedance analysis (BIA). Furthermore, demographic data and comorbidities were assessed.

Statistics

Wilcoxon's rank-sum test, chi-square tests, and for correlation analysis, Pearson's correlation coefficients were used. Regression analyses were performed to investigate the association between patients' fluid status and T₁ -mapping results. A P-value <0.05 was considered statistically significant.

Results

The mixed cohort presented with a mean overhydration (OH) of +0.2 ± 2.4 liters, as determined by BIA. By MR, native T₁ -times were 1038 ± 51 msec and MR-ECV was 31 ± 9%. In the multivariable regression analysis, only OH was significantly associated with MR-ECV (adj. beta: 0.711; 95% CI: 0.28 to 1.14) along with male sex (adj. beta: 2.529; 95% CI: 0.51 to 4.55). In linear as well as multivariable analysis, only OH was significantly associated with native T₁ times (adj. beta: 3.750; 95% CI: 1.27 to 6.23).

Conclusion

T₁ -times and MR-ECV were significantly associated with the degree of OH on BIA measurement. These effects were independent from age, sex, body mass index, and hematocrit. Patients' volume status may thus be an important factor when T₁ -time and MR-ECV values are interpreted.

Level of evidence

2 TECHNICAL EFFICACY STAGE: 3.

SUBMITTER: Dona C

PROVIDER: S-EPMC9790685 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Bioimpedance Spectroscopy Reveals Important Association of Fluid Status and T<sub>1</sub> -Mapping by Cardiovascular Magnetic Resonance.

Donà Carolina C Nitsche Christian C Anegg Oliver O Poschner Thomas T Koschutnik Matthias M Duca Franz F Aschauer Stefan S Dannenberg Varius V Schneider Matthias M Schoenbauer Robert R Beitzke Dietrich D Loewe Christian C Hengstenberg Christian C Mascherbauer Julia J Kammerlander Andreas A

Journal of magnetic resonance imaging : JMRI 20220330 6

<h4>Background</h4>Extracellular matrix expansion is a key pathophysiologic feature in heart failure and can be quantified noninvasively by cardiac magnetic resonance T<sub>1</sub> -mapping. Free water within the interstitial space of the myocardium, however, may also alter T<sub>1</sub> -mapping results.<h4>Purpose</h4>To investigate the association between systemic fluid status and T<sub>1</sub> -mapping by cardiac magnetic resonance.<h4>Study type</h4>Prospective, observational single-center ...[more]

PMID: 35352420

Similar Datasets

Project description:BackgroundCardiovascular magnetic resonance (CMR) myocardial native T1 mapping allows assessment of interstitial diffuse fibrosis. In this technique, the global and regional T1 are measured manually by drawing region of interest in motion-corrected T1 maps. The manual analysis contributes to an already lengthy CMR analysis workflow and impacts measurements reproducibility. In this study, we propose an automated method for combined myocardium segmentation, alignment, and T1 calculation for myocardial T1 mapping.MethodsA deep fully convolutional neural network (FCN) was used for myocardium segmentation in T1 weighted images. The segmented myocardium was then resampled on a polar grid, whose origin is located at the center-of-mass of the segmented myocardium. Myocardium T1 maps were reconstructed from the resampled T1 weighted images using curve fitting. The FCN was trained and tested using manually segmented images for 210 patients (5 slices, 11 inversion times per patient). An additional image dataset for 455 patients (5 slices and 11 inversion times per patient), analyzed by an expert reader using a semi-automatic tool, was used to validate the automatically calculated global and regional T1 values. Bland-Altman analysis, Pearson correlation coefficient, r, and the Dice similarity coefficient (DSC) were used to evaluate the performance of the FCN-based analysis on per-patient and per-slice basis. Inter-observer variability was assessed using intraclass correlation coefficient (ICC) of the T1 values calculated by the FCN-based automatic method and two readers.ResultsThe FCN achieved fast segmentation (<?0.3?s/image) with high DSC (0.85?±?0.07). The automatically and manually calculated T1 values (1091?±?59?ms and 1089?±?59?ms, respectively) were highly correlated in per-patient (r?=?0.82; slope?=?1.01; p?<?0.0001) and per-slice (r?=?0.72; slope?=?1.01; p?<?0.0001) analyses. Bland-Altman analysis showed good agreement between the automated and manual measurements with 95% of measurements within the limits-of-agreement in both per-patient and per-slice analyses. The intraclass correllation of the T1 calculations by the automatic method vs reader 1 and reader 2 was respectively 0.86/0.56 and 0.74/0.49 in the per-patient/per-slice analyses, which were comparable to that between two expert readers (=0.72/0.58 in per-patient/per-slice analyses).ConclusionThe proposed FCN-based image processing platform allows fast and automatic analysis of myocardial native T1 mapping images mitigating the burden and observer-related variability of manual analysis.

Project description:Medulloblastoma (MB) is the most common malignant brain tumor occurring in childhood and rarely found in adult. Based on transcriptome profile MB are currently classified into four major molecular groups reflecting a considerable biological heterogeneity: WNT-activated, SHH-activated, group 3 and group 4. Recently, DNA methylation profiling allowed the identification of additional subgroups within the four major molecular groups associated with different clinic-pathological and molecular features. Isocitrate Dehydrogenase-1 (IDH1) mutations have been described in several tumours, including gliomas, while in MB are exceptionally reported and not routinely investigated. By mean of magnetic resonance spectroscopy (MRS) we unequivocally assessed the presence the oncometabolite D-2-Hydroxyglutarate (2HG), a marker of IDH1 and IDH2 mutation, in a case of adult MB. Immunophenotypical work-up and methylation profiling assigned the diagnosis of MB, subclass SHH-A, and molecular testing revealed the presence of the non-canonical somatic IDH1(p.R132C) mutation and an additional GNAS mutation, also exceptionally described in MB. To our knowledge this is the first reported case of MB harboring both mutations together. Of note, tumour exhibited a heterogeneous phenotype with a tumour component displaying glial differentiation, with robust GFAP expression, and a component with conventional MB features and selective presence of GNAS mutation, suggesting coexistence of two different major tumour clones. These findings draw attention to the need of a deeper genetic characterization of MB in order to get insights into their biology and improve stratification and clinical management of the patients. Moreover, reported data underling the importance of performing MRS for the identification of IDH mutations in non-glial tumours. The use of throughput molecular profiling analysis and advanced medical imaging technology will certainly increase the frequency with which rare tumour entities will be identified. Whether they have any particular therapeutic implications or prognostic relevance requires further investigations.

Dataset Information

Bioimpedance Spectroscopy Reveals Important Association of Fluid Status and T₁ -Mapping by Cardiovascular Magnetic Resonance.

Background

Purpose

Study type

Population

Sequence and field strength

Assessments

Statistics

Results

Conclusion

Level of evidence

Publications

Bioimpedance Spectroscopy Reveals Important Association of Fluid Status and T<sub>1</sub> -Mapping by Cardiovascular Magnetic Resonance.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

Bioimpedance Spectroscopy Reveals Important Association of Fluid Status and T1 -Mapping by Cardiovascular Magnetic Resonance.

Background

Purpose

Study type

Population

Sequence and field strength

Assessments

Statistics

Results

Conclusion

Level of evidence

Publications

Bioimpedance Spectroscopy Reveals Important Association of Fluid Status and T<sub>1</sub> -Mapping by Cardiovascular Magnetic Resonance.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Bioimpedance Spectroscopy Reveals Important Association of Fluid Status and T₁ -Mapping by Cardiovascular Magnetic Resonance.