ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i
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5248. Predictive
Value of Hemodynamic Forces Derived from Cardiac Magnetic
Resonance in Adverse Ventricular Remodeling
X. Yue, J. Qi, M. Hu, J. Li, T. Li, K. He
Medical Innovation Research Department, Chinese PLA General Hospital, Beijing, China
Impact: HDF metrics from CMR cine imaging provide a
novel, non-invasive approach for predicting adverse
ventricular remodeling, with high predictive accuracy,
supporting personalized patient management and early
intervention strategies.
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5249. Analysis
of image success rate, image quality and influencing factors of
3.0T whole-heart non-contrast MR coronary angiography in 1053
cases
y. jiang, w. liu, y. yuan, s. luo, d. jin
jiangsu province official hospital, Nan jing, China
Impact: Our study to improve image quality can shorten
scanning time, increase success rate, and significantly
improve image quality. It is especially suitable for
examination of elderly and respiratory unstable patients.
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5250. Evaluation
and Robustness Assessment of Cardiac Diffusion in Python
(CarDpy)
T. Cork, A. Hannum, M. Loecher, D. Ennis
Stanford University, Stanford, United States
Impact:
CarDpy is an open-source cardiac diffusion data processing toolbox that enables community development and promotes rigorous science. Each post-processing step was evaluated to estimate the impact on improving the quality of several tensor metrics. |
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5251. Longitudinal
changes in epicardial adipose tissue volume in patients with
heart failure following a 6-week weight-loss diet intervention
N. Mahalingam, C. Crabtree, K. Binzel, A. M. Castillo, J.
Volek, Y. Han, O. Simonetti
The Ohio State University, Columbus, United States
Impact: Significant EAT volume changes greater than the
repeatability coefficient were observed in patients with
heart failure following a 6-week weight-loss diet. Cardiac
MRI is sensitive in detecting changes in EAT volume that
accompany weight loss induced by diet intervention.
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5252. Determining
the normal size of the pediatric abdominal aorta in MRI.
C. Metz, A. Pohrt, K. Glutig, M. S. Anders, S. Veldhoen
Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin und Humboldt-Universität zu Berlin, Berlin, Germany
Impact: Establishing reference values for the abdominal
aorta in children is essential for the diagnosis and
monitoring of cardiovascular disease.
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5253. Risk
Stratification of Sudden Cardiac Death in Non-Ischemic
Cardiomyopathy: Towards Arrhythmogenic Substrate Assessment in
Cardiac MRI
D. Zhou, M. Lu
Fuwai Hospital, Beijing, China
Impact: Our findings suggest that LGE and ECV metrics
can enhance risk stratification and support personalized
prognostic strategies in managing NICM patients, improving
clinical decision-making.
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5254. Advancing
Vascular Segmentation in Ferumoxytol-enhanced MRA: A Comparative
Study of nnUNet and SegMamba
S. Li, T. Yoshida, K-L Nguyen, J. Finn, X. Zhong
Department of Radiological Sciences, University of California Los Angeles, Los Angeles, United States
Impact: This study explores automated vascular
segmentation in FE-MRA and demonstrates that nnUNet
outperforms SegMamba, offering a more reliable and automated
approach.
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5255. The
nonlinear association of resting heart rate and left ventricular
global longitudinal strain in the patients with metabolic
syndrome
X. Li, S. Yu, R. Xu, Z. Yang
West China Hospital of Sichuan University, Chengdu, China
Impact: Higher RHR is independently associated with
LVGLS in patients with MetS, indicating that regular
monitoring and early intervention for higher RHR may help
prevent further decline in cardiac function.
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5256. Radiomics
Analysis of Cardiac Magnetic Resonance Images for
Differentiating Fabry Disease from Hypertrophic Cardiomyopathy
Y-F Huang, P-H Chiu, M-T Wu, T-Y Huang, H-W Chung, H-H Peng
National Tsing Hua University, Hsinchu, Taiwan
Impact: The RF classification combined with cine image
features selected by MI could distinguish FD from HCM. The
selected features included shape and texture categories,
illustrating the potential of radiomics features in
identifying subtle morphological and myocardial texture
changes in FD.
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5257. MR-based
evaluation of cardiac strain and ejection fraction in patients
with dilated cardiomyopathy and hypertrophic cardiomyopathy
J. Sreekumar, M. Gunasingh, R. Krishna Narayana, S. Kaza, J.
Neelavalli, B. Reddy
Indian Institute of Technology, Hyderabad, Hyderabad, India
Impact: This study highlights the potential of
integrating strain data into clinical use as an early
indicator for risk stratification, particularly in HCM
patients, leading to effective interventions and improved
outcomes.
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5258. Incremental
Effects of Obesity on Myocardial Interstitial Fibrosis and
Subclinical Left Ventricular Systolic Dysfunction in Patients
withT2DM
X-M Li, L. Jiang, X. Liu, Y-K Guo, Y. Li, Y. Ren, z. yang
West China Hospital, Sichuan University, Chengdu, China
Impact: Appropriate obesity management may be beneficial
for cardiac health in patients with T2DM, which should be
thoroughly evaluated in future longitudinal studies.
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5259. Cardiac
MR tissue tracking to assess the mediation effect of amino acid
metabolism on left ventricular damage in obese people
J. Lyu, C. Zhang, L. Mei, L. Cui, J. Xia, M. Liu, A. Xing,
X. Qu
The Second Hospital of Dalian Medical University, Dalian, China
Impact: Our findings on the effect of amino acid
metabolism and obesity on left ventricular function provide
a basis for clinical management and treatment of
comorbidities.
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5260. Assessing
Strength and Reproducibility of Left Atrial – Left Ventricular
Strain Coupling
S. Sreedhar, T. Chitiboi, M. Pradella, M. Elbaz
Northwestern Feinberg School of Medicine, Chicago, United States
Impact: This study establishes that left atrial
circumferential and longitudinal strain are
moderately-to-strongly correlated with left ventricular
strain in healthy volunteers. Within ventricular systole,
this measure demonstrates high reproducibility. This LA-LV
coupling coefficient should be further explored in cardiac
pathologies.
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5261. Dynamic
Pulmonary Vessel Analysis in Free-Breathing MRI using 2D-U-Net
Segmentation
J. Glandorf, M. Wernz, F. Klimeš, A. Voskrebenzev, M.
Gutberlet, F. Wacker, J. Vogel-Claussen
Hannover Medical School, Hannover, Germany
Impact: This study demonstrates the potential of
automated MRI-based vessel analysis to identify distinct
hemodynamic changes in chronic lung diseases like COPD and
PH. It could offer a non-invasive method to differentiate
disease subtypes and monitor treatment responses in clinical
practice.
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The International Society for Magnetic Resonance in Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.