scholarly journals T1 mapping of the myocardium: intra-individual assessment of post-contrast T1 time evolution and extracellular volume fraction at 3T for Gd-DTPA and Gd-BOPTA

2012 ◽  
Vol 14 (1) ◽  
pp. 26 ◽  
Author(s):  
Nadine Kawel ◽  
Marcelo Nacif ◽  
Anna Zavodni ◽  
Jacquin Jones ◽  
Songtao Liu ◽  
...  
Keyword(s):  
Time Evolution ◽  
T1 Mapping ◽  
Volume Fraction ◽  
Extracellular Volume ◽  
Extracellular Volume Fraction ◽  
Post Contrast ◽  
Individual Assessment

Myocardial extracellular volume fraction quantification based on T1 mapping at 3 T: quality optimization by contour-based registration and segmental analysis

2021 ◽  
pp. 028418512110671
Author(s):  
Ling Lin ◽  
Xu-Hui Zhou ◽  
Mei Zheng ◽  
Qiu-Xia Xie ◽  
Qian Tao ◽  
...  
Keyword(s):  
Image Quality ◽  
T1 Mapping ◽  
Volume Fraction ◽  
Extracellular Volume ◽  
Extracellular Volume Fraction ◽  
Left Ventricular ◽  
Repeated Measurements ◽  
Related Factors ◽  
Post Contrast

Background Myocardial extracellular volume fraction (ECV) assessment can be affected by various technical and subject-related factors. Purpose To evaluate the role of contour-based registration in quantification of ECV and investigate normal segment-based myocardial ECV values at 3T. Material and Methods Pre- and post-contrast T1 mapping images of the left ventricular basal, mid-cavity, and apical slices were obtained in 26 healthy volunteers. ECV maps were generated using motion correction with and without contour-based registration. The image quality of all ECV maps was evaluated by a 4-point scale. Slices were dichotomized according to the occurrence of misregistration in the source data. Contour-registered ECVs and standard ECVs were compared within each subgroup using analysis of variance for repeated measurements and generalized linear mixed models. Results In all three slices, higher quality of ECV maps were found using contour-registered method than using standard method. Standard ECVs were statistically different from contour-registered ECVs in global (26.8% ± 2.8% vs. 25.8% ± 2.4%; P = 0.001), mid-cavity (25.4% ± 3.1% vs. 24.3% ± 2.5%; P = 0.016), and apical slices (28.7% ± 4.1% vs. 27.2% ± 3.4%; P = 0.010). In the misregistration subgroups, contour-registered ECVs were lower with smaller SDs (basal: 25.2% ± 1.8% vs. 26.7% ± 2.6%; P = 0.038; mid-cavity: 24.4% ± 2.3% vs. 26.8% ± 3.1%; P = 0.012; apical: 27.5% ± 3.6% vs. 29.7% ± 4.5%; P = 0.016). Apical (27.2% ± 3.4%) and basal-septal ECVs (25.6% ± 2.6%) were statistically higher than mid-cavity ECV (24.3% ± 2.5%; both P < 0.001). Conclusion Contour-based registration can optimize image quality and improve the precision of ECV quantification in cases demonstrating ventricular misregistration among source images.

scholarly journals Fast calculation software for modified Look-Locker inversion recovery (MOLLI) T1 mapping

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yoon-Chul Kim ◽  
Khu Rai Kim ◽  
Hyelee Lee ◽  
Yeon Hyeon Choe
Keyword(s):  
T1 Mapping ◽  
Volume Fraction ◽  
Extracellular Volume ◽  
Computation Time ◽  
Software Tool ◽  
Extracellular Volume Fraction ◽  
Inversion Recovery ◽  
Least Square ◽  
Post Contrast ◽  
T1 Map

Abstract Background The purpose of this study was to develop a software tool and evaluate different T1 map calculation methods in terms of computation time in cardiac magnetic resonance imaging. Methods The modified Look-Locker inversion recovery (MOLLI) sequence was used to acquire multiple inversion time (TI) images for pre- and post-contrast T1 mapping. The T1 map calculation involved pixel-wise curve fitting based on the T1 relaxation model. A variety of methods were evaluated using data from 30 subjects for computational efficiency: MRmap, python Levenberg–Marquardt (LM), python reduced-dimension (RD) non-linear least square, C++ single- and multi-core LM, and C++ single- and multi-core RD. Results Median (interquartile range) computation time was 126 s (98–141) for the publicly available software MRmap, 261 s (249–282) for python LM, 77 s (74–80) for python RD, 3.4 s (3.1–3.6) for C++ multi-core LM, and 1.9 s (1.9–2.0) for C++ multi-core RD. The fastest C++ multi-core RD and the publicly available MRmap showed good agreement of myocardial T1 values, resulting in 95% Bland–Altman limits of agreement of (− 0.83 to 0.58 ms) and (− 6.57 to 7.36 ms) with mean differences of − 0.13 ms and 0.39 ms, for the pre- and post-contrast, respectively. Conclusion The C++ multi-core RD was the fastest method on a regular eight-core personal computer for pre- or post-contrast T1 map calculation. The presented software tool (fT1fit) facilitated rapid T1 map and extracellular volume fraction map calculations.

scholarly journals T1 and T2 Mapping in Cardiology: “Mapping the Obscure Object of Desire”

Cardiology ◽  
2017 ◽  
Vol 138 (4) ◽  
pp. 207-217 ◽  
Author(s):  
Sophie Mavrogeni ◽  
Dimitris Apostolou ◽  
Panayiotis Argyriou ◽  
Stella Velitsista ◽  
Lilika Papa ◽  
...  
Keyword(s):  
Heart Failure ◽  
T1 Mapping ◽  
Clinical Decision Making ◽  
Volume Fraction ◽  
T2 Mapping ◽  
Extracellular Volume ◽  
Diffuse Fibrosis ◽  
Post Contrast ◽  
Cardiac Amyloid ◽  
Native T1

The increasing use of cardiovascular magnetic resonance (CMR) is based on its capability to perform biventricular function assessment and tissue characterization without radiation and with high reproducibility. The use of late gadolinium enhancement (LGE) gave the potential of non-invasive biopsy for fibrosis quantification. However, LGE is unable to detect diffuse myocardial disease. Native T1 mapping and extracellular volume fraction (ECV) provide knowledge about pathologies affecting both the myocardium and interstitium that is otherwise difficult to identify. Changes of myocardial native T1 reflect cardiac diseases (acute coronary syndromes, infarction, myocarditis, and diffuse fibrosis, all with high T1) and systemic diseases such as cardiac amyloid (high T1), Anderson-Fabry disease (low T1), and siderosis (low T1). The ECV, an index generated by native and post-contrast T1 mapping, measures the cellular and extracellular interstitial matrix (ECM) compartments. This myocyte-ECM dichotomy has important implications for identifying specific therapeutic targets of great value for heart failure treatment. On the other hand, T2 mapping is superior compared with myocardial T1 and ECM for assessing the activity of myocarditis in recent-onset heart failure. Although these indices can significantly affect the clinical decision making, multicentre studies and a community-wide approach (including MRI vendors, funding, software, contrast agent manufacturers, and clinicians) are still missing.

scholarly journals P1585 Cardiac magnetic resonance estimated extracellular volume fraction, but not native T1 mapping, detects scar in patients referred for cardiac resynchronization therapy

2020 ◽  
Vol 21 (Supplement_1) ◽  
Author(s):  
C Kjellstad Larsen ◽  
J Duchenne ◽  
E Galli ◽  
J M Aalen ◽  
E Kongsgaard ◽  
...  
Keyword(s):  
T1 Mapping ◽  
Volume Fraction ◽  
Extracellular Volume ◽  
Extracellular Volume Fraction ◽  
Cardiac Resynchronization ◽  
Diffuse Fibrosis ◽  
Resynchronization Therapy ◽  
Native T1 ◽  
T1 Relaxation ◽  
Contrast Agent Injection

Abstract Funding Acknowledgements The study was supported by Center for Cardiological Innovation Background Myocardial scar burden (focal fibrosis) is associated with poor response to cardiac resynchronization therapy (CRT), and should preferably be detected prior to device implantation. Late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) is considered reference standard for scar detection, but is not available in renal failure. Diffuse fibrosis is assessed by T1 mapping CMR with or without calculation of extracellular volume fraction (ECV). The method is vulnerable to partial volume effects, thus subendocardial tissue is most often not included in mapping analyses. Whether the contrast-free native T1mapping could replace LGE in the preoperative evaluation of patients referred for CRT is unknown. Purpose To investigate if native T1 mapping and calculation of ECV can adequately detect scar in patients referred for CRT. Methods Scar was quantified as percentage segmental LGE in 45 patients (age 65 ± 10 years, 71% male, QRS-width 165 ± 17ms) referred for CRT. In total 720 segments were analyzed, and LGE≥50% was considered transmural scar. T1-mapping before and after contrast agent injection was performed in all patients. ECV was calculated based on the ratio between tissue T1 relaxation change and blood T1 relaxation change after contrast agent injection, corrected for the haematocrit level. The agreement between native T1/ECV and scar was evaluated with receiver operating characteristic (ROC) curves with calculation of area under the curve (AUC) and 95% confidence interval (CI). Results LGE was present in 255 segments, 465 segments were without LGE. Average native T1 in segments with LGE was 1028 ± 88 ms, and 1040 ± 60 ms in segments without LGE (p = 0.16). The corresponding numbers for ECV were 38.7 ± 10.9% and 30.0 ± 4.7%, p &lt; 0.001. Native T1 showed poor agreement to scar independent of scar size (AUC = 0.532, 95% CI 0.485-0.578 for scars of all sizes, and AUC = 0.572, 95% CI 0.495-0.650 for transmural scars). ECV, on the other hand, showed reasonable agreement with scar of all sizes (AUC = 0.777, 95% CI 0.739-0.815), and good agreement with transmural scars (AUC = 0.856, 95% CI 0.811-0.902). (Figure) Conclusion The contrast-free CMR technique T1 mapping does not adequately detect scars in patients referred for CRT. Adding post contrast T1 measurements and calculating ECV improves accuracy, especially for transmural scars. Future studies should investigate if diffuse fibrosis could be predictive of CRT response. Abstract P1585 Figure. Detection of transmural scars

Abstract 14244: Gender-Specific Association Between Serum Markers of Systemic Inflammation and Interstitial Cardiac Fibrosis: The Multi-Ethnic Study of Atherosclerosis (MESA)

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Victor Nauffal ◽  
Bharath Ambale Venkatesh ◽  
Colin Wu ◽  
Hossein Bahrami ◽  
Russell Tracy ◽  
...  
Keyword(s):  
Systemic Inflammation ◽  
T1 Mapping ◽  
Cardiac Fibrosis ◽  
Ventricular Remodeling ◽  
Volume Fraction ◽  
Interstitial Fibrosis ◽  
Extracellular Volume ◽  
Inverse Association ◽  
Post Contrast ◽  
Markers Of Inflammation

Introduction: Inflammation contributes to pathogenic ventricular remodeling. Recently, T1 mapping has been used to non-invasively measure interstitial myocardial fibrosis. We examined the association between baseline markers of systemic inflammation and interstitial fibrosis measured using T1 mapping at 10 years follow-up in MESA. Methods and Results: 1,156 participants underwent cardiac magnetic resonance imaging with T1 mapping. All analyses were stratified by gender. Three hierarchical multivariable linear regression models were constructed to assess the risk-adjusted association of baseline C-reactive protein (CRP), interleukin 6 (IL-6) and fibrinogen with 25 minutes post-contrast myocardial T1 time (T1Myo25). Shorter T1Myo25 reflect increasing levels of interstitial fibrosis. We found a non-linear relationship between IL-6 and T1Myo25 in males (Figure 1A). A significant negative association between T1Myo25 and increasing levels of IL-6 was found in males that reversed at IL-6 levels ≥2.7pg/ml. Moreover in males, increasing levels of fibrinogen were significantly negatively associated with T1Myo25, while a similar but non-significant trend was found for CRP (Figure 1B). In women, there was a similar inverse association between T1Myo25 and increasing levels of all three markers of systemic inflammation prior to adjusting for body mass index that became statistically non-significant following adjustment (Figure 1B). Similar associations with markers of inflammation were found using extracellular volume fraction and T1Myo12 as measures of interstitial fibrosis. Conclusions: Markers of systemic inflammation in males, particularly IL-6 and fibrinogen, are independently associated with increased interstitial fibrosis. In females, this association may be mediated by the obesity-induced inflammatory-state. These findings highlight the early role of inflammation in the pathogenesis of heart failure.

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