Gadolinium free cardiovascular magnetic resonance with 2-point Cine balanced steady state free precession

Stromp, Tori A; Leung, Steve W.; Andres, Kristin N.; Jing, Linyuan; Fornwalt, Brandon K.; Charnigo, Richard; Sorrell, Vincent L.; Vandsburger, Moriel

doi:10.1186/s12968-015-0194-1

Cited by 20 publications

(32 citation statements)

References 30 publications

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“…However, patients with coronary artery disease have a higher prevalence of coexisting chronic kidney disease compared with patients without coronary artery disease (6), which makes methods for detecting myocardial scar without the need of gadolinium administration desirable (7). In addition, intravenous administration of gadolinium-based contrast agents in patients with chronic kidney disease carries the risk for developing nephrogenic systemic sclerosis (8).…”

Section: Study Populationmentioning

confidence: 99%

Subacute and Chronic Left Ventricular Myocardial Scar: Accuracy of Texture Analysis on Nonenhanced Cine MR Images

et al. 2018

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Purpose To test whether texture analysis (TA) allows for the diagnosis of subacute and chronic myocardial infarction (MI) on noncontrast material-enhanced cine cardiac magnetic resonance (MR) images. Materials and Methods In this retrospective, institutional review board-approved study, 120 patients who underwent cardiac MR imaging and showed large transmural (volume of enhancement on late gadolinium enhancement [LGE] images >20%, n = 72) or small (enhanced volume 20%, n = 48) subacute or chronic ischemic scars were included. Sixty patients with normal cardiac MR imaging findings served as control subjects. Regions of interest for TA encompassing the left ventricle were drawn by two blinded, independent readers on cine images in end systole by using a freely available software package.Stepwise dimension reduction and texture feature selection based on reproducibility, machine learning, and correlation analyses were performed for selecting features, enabling the diagnosis of MI on nonenhanced cine MR images by using LGE imaging as the standard of reference. Results Five independent texture features allowed for differentiation between ischemic scar and normal myocardium on cine MR images in both subgroups: Teta1, Perc.01, Variance, WavEnHH.s-3, and S(5,5)SumEntrp (in patients with large MI: all P values < .001; in patients with small MI: Teta1 and Perc.01, P < .001; Variance, P = .026; WavEnHH.s-3, P = .007; S[5,5]SumEntrp, P = .045). Multiple logistic regression models revealed that combining the features Teta1 and Perc.01 resulted in the highest accuracy for diagnosing large and small MI on cine MR images, with an area under the curve of 0.93 and 0.92, respectively. Conclusion This proof-of-concept study indicates that TA of nonenhanced cine MR images allows for the diagnosis of subacute and chronic MI with high accuracy. (©) RSNA, 2017 Online supplemental material is available for this article. Purpose:To test whether texture analysis (TA) allows for the diagnosis of subacute and chronic myocardial infarction (MI) on noncontrast material-enhanced cine cardiac magnetic resonance (MR) images. Materials and Methods:In this retrospective, institutional review board-approved study, 120 patients who underwent cardiac MR imaging and showed large transmural (volume of enhancement on late gadolinium enhancement [LGE] images .20%, n = 72) or small (enhanced volume 20%, n = 48) subacute or chronic ischemic scars were included. Sixty patients with normal cardiac MR imaging findings served as control subjects. Regions of interest for TA encompassing the left ventricle were drawn by two blinded, independent readers on cine images in end systole by using a freely available software package. Stepwise dimension reduction and texture feature selection based on reproducibility, machine learning, and correlation analyses were performed for selecting features, enabling the diagnosis of MI on nonenhanced cine MR images by using LGE imaging as the standard of reference. Results:Five independent texture features allowed ...

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Section: Study Populationmentioning

confidence: 99%

Subacute and Chronic Left Ventricular Myocardial Scar: Accuracy of Texture Analysis on Nonenhanced Cine MR Images

et al. 2018

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“…This should reduce the MT effect, as was suggested by an ex vivo study showing an MTR decrease from 80 to 74%, 4 weeks after experimental infarct in rats, at 4.7T . The same conclusion would also be suggested by the observation of patients with chronic MI and dilated cardiomyopathy, showing a heightened focal area of MT (expressed as (S 45° – S 5° )/S 5 ) in LGE + regions . On the other hand, a high collagen fraction in infarct scar should, conversely, increase MTR.…”

Section: Discussionmentioning

confidence: 59%

“…With this approach, parametric MT images showed a 26% MTR decrease in the area of edema resulting from recent MI . Recently, the excitation flip angle was proposed as another means to modulate the MT . In this work, we presumed that a new metric called normalized (n)MTR, measured with 3D bSSFP images obtained with two flip angles and a blood signal normalization factor, could enable distinction between recent and old infarction.…”

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confidence: 99%

A dual flip angle 3D bSSFP magnetization transfer‐like method to differentiate between recent and old myocardial infarction

Germain

Ghannudi

Labani

et al. 2017

Magnetic Resonance Imaging

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“…Noncontrast magnetic resonance imaging approaches based on the measurement of myocardial relaxation rates,34, 35 magnetization transfer,36 and apparent diffusivity21 have been reported; however, with the exception of T1 mapping–based techniques, these approaches remain experimental. In addition, traditional indexes of diffusion such as MD and FA may not show large variations in fully healed chronic infarcts 20, 37…”

Section: Discussionmentioning

confidence: 99%

Myocardial Scar Delineation Using Diffusion Tensor Magnetic Resonance Tractography

Mekkaoui

Jackowski

Kostis

et al. 2018

JAHA

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BackgroundLate gadolinium enhancement (LGE) is the current standard for myocardial scar delineation. In this study, we introduce the tractographic propagation angle (PA), a metric of myofiber curvature (degrees/unit distance) derived from diffusion tensor imaging (DTI), and compare its use to LGE and invasive scar assessment by endocardial voltage mapping.Methods and Results DTI was performed on 7 healthy human volunteers, 5 patients with myocardial infarction, 6 normal mice, and 7 mice with myocardial infarction. LGE to delineate the infarct and border zones was performed with a 2‐dimensional inversion recovery gradient‐echo sequence. Ex vivo DTI was performed on 5 normal human and 5 normal sheep hearts. Endocardial electroanatomic mapping and subsequent ex vivo DTI was performed on 5 infarcted sheep hearts. PA in the normal human hearts varied smoothly and was generally <4. The mean PA in the infarct zone was significantly elevated (10.34±1.02 versus 4.05±0.45, P<0.05). Regions with a PA ≤4 consistently had a bipolar voltage ≥1.5 mV, whereas those with PA values between 4 and 10 had voltages between 0.5 and 1.5 mV. A PA threshold >4 was the most accurate DTI‐derived measure of infarct size and demonstrated the greatest correlation with LGE (r=0.95).ConclusionsWe found a strong correlation between infarct size by PA and LGE in both mice and humans. There was also an inverse relationship between PA values and endocardial voltage. The use of PA may enable myocardial scar delineation and characterization of arrhythmogenic substrate without the need for exogenous contrast agents.

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Gadolinium free cardiovascular magnetic resonance with 2-point Cine balanced steady state free precession

Cited by 20 publications

References 30 publications

Subacute and Chronic Left Ventricular Myocardial Scar: Accuracy of Texture Analysis on Nonenhanced Cine MR Images

Subacute and Chronic Left Ventricular Myocardial Scar: Accuracy of Texture Analysis on Nonenhanced Cine MR Images

A dual flip angle 3D bSSFP magnetization transfer‐like method to differentiate between recent and old myocardial infarction

Myocardial Scar Delineation Using Diffusion Tensor Magnetic Resonance Tractography

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