Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
566-04-004 ISMRM Abstract

Postoperative Brain Changes in Newborns with Congenital Heart Disease Assessed by Source-Separated Magnetic Susceptibility

Primary: Pediatrics - Neonatal
Secondary: Neuro - Development
566-04-004 · Predicting Neurologic Outcomes · Wednesday, 13 May, 2:35 PM–3:30 PM · Digital Posters Row G
Keywords: Neuroinflammation Quantitative Susceptibility Mapping (QSM) Susceptibility source separation Congenital Heart Disease Magnetic source separation
Accepted
MinJung Jang1,2, Alexey Dimov1, Jonathan G Murnick3,4,5, Tarif A Choudhury6, Qinghao Liang1, Kushal K Kapse3, Anushree Kapse3, Arindam RoyChoudhury7, Vivien Yap8, Mary T Donofrio9,10, Ranjini Srinivasan11, Gloria C Chiang1, Yi Wang1, Catherine Limperopoulos3,5,10,12, Zungho Zun 1
1Department of Radiology, Weill Cornell Medicine, New York, United States of America
2Department of Radiology, University of Pittsburgh, Pittsburgh, United States of America
3Developing Brain Institute, Children's National Hospital, Washington DC, United States of America
4George Washington University, Washington, United States of America
5Department of Radiology, George Washington University, Washington, United States of America
6Department of Pediatrics, Columbia University Irving Medical Center, New York, United States of America
7Population Health Sciences, Weill Cornell Medicine, New York, United States of America
8Department of Pediatrics, Weill Cornell Medicine, New York, United States of America
9Division of Cardiology, Children's National Hospital, Washington DC, United States of America
10Department of Pediatrics, George Washington University, Washington, United States of America
11Division of Pediatric Cardiology, Weill Cornell Medicine, New York, United States of America
12Division of Fetal and Transitional Medicine, Children's National Hospital, Washington DC, United States of America
Presenting Author: Zungho Zun

Synopsis

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References

1. McQuillen PS, Miller SP. Congenital heart disease and brain development. Ann N Y Acad Sci. 2010;1184(1):68-86.
2. Marino BS, Lipkin PH, Newburger JW, et al. Neurodevelopmental outcomes in children with congenital heart disease: evaluation and management: a scientific statement from the American Heart Association. Circulation. 2012;126(9):1143-1172.
3. Marelli A, Miller SP, Marino BS, et al. Brain in Congenital Heart Disease Across the Lifespan: The Cumulative Burden of Injury. Circulation. 2016;133(20):1951-1962.
4. Sood E, Newburger JW, Anixt JS, et al. Neurodevelopmental Outcomes for Individuals With Congenital Heart Disease: Updates in Neuroprotection, Risk-Stratification, Evaluation, and Management: A Scientific Statement From the American Heart Association. Circulation. 2024;149(13):e997-e1022.
5. QSM Consensus Organization Committee, Bilgic B, Costagli M, et al. Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: a consensus of the ISMRM electro‐magnetic tissue properties study group. Magn Reson Med. 2024;91(5):1834-62.
6. Wang Y, Liu T. Quantitative susceptibility mapping (QSM): decoding MRI data for a tissue magnetic biomarker. Magn Reson Med. 2015;73(1):82-101.
7. Shin HG, Lee J, Yun YH, et al. χ-separation: Magnetic susceptibility source separation toward iron and myelin mapping in the brain. Neuroimage. 2021;240:118371.
8. Chen J, Gong NJ, Chaim KT, et al. Decompose quantitative susceptibility mapping (QSM) to sub-voxel diamagnetic and paramagnetic components based on gradient-echo MRI data. Neuroimage. 2021;242:118477.
9. Emmerich J, Bachert P, Ladd ME, Straub S. On the separation of susceptibility sources in quantitative susceptibility mapping: Theory and phantom validation with an in vivo application to multiple sclerosis lesions of different age. J Magn Reson. 2021;330:107033.
10. Dimov AV, Nguyen TD, Gillen KM, et al. Susceptibility source separation from gradient echo data using magnitude decay modeling. J Neuroimaging. 2022;32(5):852-859.
11. Jang M, Dimov AV, Kapse K, et al. Quantitative susceptibility mapping with source separation in normal brain development of newborns. Am J Neuroradiol. 2025;46(2):380-389.
12. Bayley N, 2006. Bayley scales of infant and toddler development.
13. Jang M, Dimov AV, Chiang GC, et al. Comparison of quantitative susceptibility mapping with source separation in full-term, moderate-to-late preterm, and very preterm brains. Proc Annual Meeting ISMRM, Hawaii, USA, p. p2252.
14. Korotcova L, Kumar S, Agematsu K, et al. Prolonged white matter inflammation after cardiopulmonary bypass and circulatory arrest in a juvenile porcine model. Ann Thorac Surg. 2015;100(3):1030-1037.
15. Nnah IC, Wessling-Resnick M. Brain iron homeostasis: a focus on microglial iron. Pharmaceuticals. 2018;11(4):129.
16. Guttenplan KA, Weigel MK, Prakash P, et al. Neurotoxic reactive astrocytes induce cell death via saturated lipids. Nature. 2021;599(7883):102-107.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/566-04-004