ISMRM25 - Miscellaneous Pediatric Neuroimaging, Including Brain Tumor MRI/MRS

ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

Miscellaneous Pediatric Neuroimaging, Including Brain Tumor MRI/MRS

Digital Poster

Pediatrics

Monday, 12 May 2025

Exhibition Hall

16:00 - 17:00

Session Number: D-186

No CME/CE Credit

		Computer Number: 129 2086. MRI Radiomics Features Correlates of Overall Survival in H3K27M Mutant Pediatric Diffuse Midline Gliomas View Presentation Video M. Özakçakaya, N. T. Güven, G. H. Hatay, E. Sümer-Arpak, A. Ersen-Danyeli, M. Özek, B. Tanrıkulu, A. Dinçer, E. Ozturk- Isik Bogazici University, Istanbul, Turkey Impact: Several radiomics features indicating heterogeneous tumor texture, presence of contrast enhancement and/or necrosis and pons localization were associated with shorter overall survival in H3K27M-mutant pediatric diffuse midline gliomas, which might potentially aid in treatment planning and patient prognosis improvement.
		Computer Number: 130 2087. Pre-treatment tumoral levels of total choline, glycine, and Glx predict overall survival in diffuse intrinsic pontine glioma View Presentation Video R. Burman, P. Goyke, S. Zhang, Y. Wang, E. Pavao, S. Somogyi, S. Pinto, Y. Fan, M. Scoggins, W. Reddick, A. Onar-Thomas, J. Chiang, C. Tinkle, P. Bagga St. Jude Children's Research Hospital, Memphis, United States Impact: Mapping tumor metabolites using 2D-CSI prior to treatment may predict overall survival in patients with diffuse intrinsic pontine glioma. This approach may offer valuable prognostic information, potentially guiding personalized therapeutic strategies in this highly aggressive and lethal pediatric brainstem cancer.
		Computer Number: 131 2088. A comparative study of ASL and IVIM between medulloblastoma and ependymoma of posterior fossa in children F. Zeng, Y. f. Zha, W. Liu, Y. Fan Renmin Hospital of Wuhan University, Wuhan, China Impact: The diagnostic efficacy of the ADC-values is better than that of the CBF value for the differential diagnosis of medulloblastoma and ependymoma, which ontribute to disease diagnosis and choice of treatment options.
		Computer Number: 132 2089. Do current automated tractography methods hold up in tumour and epilepsy pathology? A comparison of four methods with expert manual tractography View Presentation Video S. Greenstein, S. Genc, A. Wray, W. Maixner, J. Yang Murdoch Children's Research Institute, Melbourne, Australia Impact: This study uniquely highlights the inaccuracies of using automated tractography for complex paediatric tumour and epilepsy surgery, particularly near lesions. It emphasises the need for standardised tract definitions and appropriate surgical case data for model training to enhance accuracy.
		Computer Number: 133 2090. Radiomics in Medulloblastoma: Advancing Non-Invasive Diagnosis, Molecular Subtyping, and Prognostication M. Fotouhi, A. Shahbandi, F. Samadi Khoshe Mehr, M. Mohammadzadeh Shahla, S. M. Nouredini, S. Kankam, M. Khorasanizadeh, L. Chambless Advanced Diagnostic and Interventional Radiology Research Center, Tehran, Iran (Islamic Republic of) Impact: This study underscores radiomics' potential to refine non-invasive MB management, aiding clinicians in earlier, more precise diagnoses and individualized treatment plans. It highlights encouraging imaging markers that may inspire future research on radiomics-driven clinical protocols and patient outcomes.
		Computer Number: 134 2091. Quantitative T1 measurement of myelin in children with Ras-MAPK pathway disorders View Presentation Video J. Plank, E. Gozdas, J. Bruno, C. McGhee, H. Wu, M. Raman, M. Saggar, T. Green Stanford University, Palo Alto, United States Impact: Our demonstration of distinct patterns of myelination in RAS-MAPK pathway disorders suggests a quantitative neurobiological marker that may be of value for future work investigating brain-behavior associations or novel treatment targets in this population.
		Computer Number: 135 2092. Performance of automated segmentation models for the delineation of paediatric craniopharyngiomas. View Presentation Video A. Knill, J. Sidpra, V. Yamaki, B. Santanna Peres, V. Lind, N. ul Owase Jeelani, D. Hargrave, K. Aquilina, U. Löbel, K. Mankad, E. De Vita Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom Impact: Whole-tumour segmentations using models published by Ruffle et.al.(2023) have the potential to aid with volume measurements of paediatric craniopharyngioma on routine brain MRI. Clinical applications would benefit from separate segmentations of solid and cystic tumour in future analysis.
		Computer Number: 136 2093. Reliable multimodal brain patterns predict longitudinal mental health outcomes in early adolescence View Presentation Video K. Manning, A. Llera, C. Lebel University of Calgary, Halifax, Canada Impact: Our results demonstrate reliable brain patterns in childhood that predict primarily sub-clinical symptoms of anxiety and depression in a population-based sample. These findings motivate early supports and interventions for children identified at-risk of poor mental health trajectories.
		Computer Number: 137 2094. Diffusion Tensor Imaging for Evaluating Glymphatic System Function in Neonates with Complex Congenital Heart Disease View Presentation Video M. Mora Álvarez, J. De Asis-Cruz, K. Kapse, G. Vezina, M. Donofrio, C. Limperopoulos Children's National Hospital, Washington, United States Impact: Assessing glymphatic system function (GSF) in newborns is challenging due to the need for contrast agents. However, this study demonstrates that the DTI-ALPs index holds promise as a non-invasive biomarker for GSF in high-risk neonates such as those with CHD.
		Computer Number: 138 2095. Deep Learning-Based Super-Resolution Reconstruction of T2w Single-Shot Sequences in Pediatric Brain MRI View Presentation Video A. M. Stylianou, Z. Bendella, C. Katemann, A. M. Sprinkart, K. Weiss, O. Weber, J. Peeters, T. Schommertz, M. Kadrija, L. Bischoff, N. Lehnen, R. Clauberg, J. Luetkens, A. Radbruch, B. Wichtmann University Hospital Bonn, Bonn, Germany Impact: Deep learning reconstruction significantly enhances the quality of rapid T2w Single-Shot sequences in pediatric brain MRI, improving image sharpness and lesion conspicuity while maintaining motion robustness. This advancement could reduce sedation requirements in pediatric neuroimaging protocols.
		Computer Number: 139 2096. Modelling Joubert Syndrome: a personalized multiscale approach to investigate brain activity View Presentation Video M. Gaviraghi, R. M. Lorenzi, S. D’Arrigo, A. De Laurentiis, A. Nigri, M. Grisoli, C. A. Gandini Wheeler-Kingshott, C. Casellato, F. Palesi, E. D’Angelo University of Pavia, Pavia, Italy Impact: Personalized pipelines for diseases, such as Joubert Syndrome, can help to investigate pathophysiology and brain activity alterations. The use of a multiscale approach can be the key to investigate brain dynamic alterations at multiple levels of complexity.
		Computer Number: 140 2097. Spatial Gradient of White Matter Microstructure Discriminates Progressive vs Non-Progressive Cerebral Adrenoleukodystrophy View Presentation Video E. Mallack, A. Jeffries, J. Lin, S. van de Stadt, M. Engelen, O. Rapalino, P. Musolino, F. Eichler, S. Niogi Johns Hopkins University School of Medicine, Baltimore, United States Impact: This analytic approach demonstrated differences in change in microstructure between patients with ongoing disease vs those with disease arrest, indicating utility as a clinical imaging tool to guide imaging surveillance, prognosis, and appropriate patient selection for treatment in cerebral adrenoleukodystrophy.
		Computer Number: 141 2098. Transcriptional signatures relevance of cortical morphometric similarity network in infants with external hydrocephalus and motor impairment View Presentation Video Y. Sun, Y. Yin, H. Zhao, C. Jin Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China Impact: Integrating neuroimaging and transcriptomics enhances understanding of EH-related MI pathogenesis, revealing potential imaging biomarkers for early diagnosis and novel targets for therapeutic intervention.
		Computer Number: 142 2099. Functional and structural effects of repetitive transcranial magnetic stimulation for the treatment of adolescent depression P. Wang, L. Sun, Y. Gao, R. Feng, H. Li, X. Ouyang, X. Huang West China Hospital, Sichuan University, Chengdu, China Impact: We identified brain regions potentially associated with the therapeutic effects of TMS in adolescent depression, which could potentially may inform more precise and targeted interventions.
		Computer Number: 143 2100. Diagnostic Value of MRI Adenohypophysis Volume in Correlation with IGF-1 and IGFBP-3 in Adolescents Growth Disorders D. Liu, W. Liu, J. Cai Tongji Hosptial, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China Impact: This research highlights the 3D CUBE MRI technique's potential to non-invasively assess pituitary morphology and its hormonal associations, providing valuable insights for pediatric endocrinology and enhancing diagnostic strategies while reducing reliance on contrast agents and associated procedural risks.
		Computer Number: 144 2101. Preliminary Study on Axonal Integrity in Pediatric Myelin Oligodendrocyte Glycoprotein Antibody-Associated Disease Using NODDI Technology View Presentation Video H. Cheng, Y. Li, W. Zhang, C. Ren, B. Jiang, D. Zheng Beijing Children’s Hospital, Capital Medical University, Beijing, China Impact: We demonstrated that NODDI is a better technique for assessing axonal damage in pediatric MOGAD compared to DTI, improving diagnosis and treatment monitoring. This allows investigation of axonal damage, enhancing patient outcomes and refining treatment strategies for pediatric demyelination diseases.

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