Computer Number: 81

I. Hattan, G. Cowin, N. Kurniawan
Ministry of Health (MOH) and Ministry of Education (MOE), Jazan, Saudi Arabia

Impact: This high-resolution multi-contrast template can potentially improve anatomical and microstructural analysis disease-related changes. For example, besides measuring atrophies, clinicians could use the template to pin-point subtle changes in the GM motoneuron pool due to degeneration or injuries.

Computer Number: 82

S. Bédard, J. Valošek, K. Weber II, J. Cohen-Adad
Polytechnique Montréal, Montréal, Canada

Impact: Incorporating nerve rootlets into spinal cord MRI template registration improves the alignment of spinal levels, enhancing the accuracy and reproducibility of group analyses in fMRI studies. This advancement allows more precise mapping of the spinal cord across individuals.

Computer Number: 83

S. Balaji, S. Kolind, A. Traboulsee, A. MacKay, N. Dea
University of British Columbia, Vancouver, Canada

Impact: Cervical cord tissue was classified in people with degenerative cervical myelopathy based only on clustering quantitative MRI measures. Different proportions of tissue clusters were seen in regions immediately above compression sites compared to the entire imaged cord (C2-C5).

Computer Number: 84

A. Cronin, G. Sweeney, L. Prock, D. Houston, I. Stuart, C. McKnight, F. Bagnato, K. O'Grady, S. Smith
Vanderbilt University Medical Center, Nashville, United States

Impact: Initial results suggest that AREX shows improvement over alternative methods and could offer increased sensitivity to biochemical changes in the spinal cord of MS patients.

Computer Number: 85

V. Callot, M. Bennasser, S. Mchinda, D. Papp, R. Barry, L. Beghini, A. Seifert, E. Alonso-Ortiz, J. Cohen-Adad, N. Graedel, M. Callaghan, F. Eippert, N. Weiskopf, C. Aigner, P. Freund, J. Vannesjo, A. Destruel, H. Dary, M. Guye, M. Seif
CNRS/Aix-Marseille University, Marseille, France

Impact: Our multiparametric qMRI protocol for 7T spinal cord imaging can enable multicenter clinical studies and provide guidance for new investigators, ultimately advancing diagnostic and prognostic capabilities for spinal cord diseases while deepening our understanding of neurodegenerative changes.

Computer Number: 86

J. Valošek, D. Pfyffer, N. Karthik, L. Farner, S. Schading-Sassenhausen, P. Freund, J. Cohen-Adad
Polytechnique Montreal, Montreal, Canada

Impact: Automatic computation of lesion morphometry can replace manual measurements, thus facilitating large multi-center studies in spinal cord injury patients by reducing intra- and inter-expert variability and saving time.

Computer Number: 87

C. Yuan, S. Chen, L. Liang, X. Xu, H. Xiong, T. Liu, Y. Li, N-K Chen, H-C Chang
The Chinese University of Hong Kong, Hong Kong, China

Impact: The proposed 3D-rFOV-MUSE technique can produce high-fidelity csc-DTI at 1.0 mm-isotropic resolution, which can precisely assess the microstructural integrity of the cervical spinal cord. This may provide further pathophysiological insights to aid differential diagnosis for different cervical spinal cord diseases.

Computer Number: 88

A. Lebret, S. Schading-Sassenhausen, K. Şimşek, P. Gut, S. Imhof, B. Zörner, R. Kreis, P. Freund, M. Seif
Balgrist University Hospital, Zurich, Switzerland

Impact: The feasibility of lumbar cord MRS has great potential to assess tissue integrity non-invasively and provide valuable insights into neurodegenerative processes, with the potential for developing new biomarkers to improve prognostication following SCI.  

Computer Number: 89

G. Dunay, F. Adepegba, A. Combes, A. Cronin, L. Narisetti, G. Sweeney, L. Prock, D. Houston, A. Witt, X. Zhang, S. Vandekar, F. Bagnato, S. Sriram, S. Smith, K. O'Grady
Vanderbilt University, Nashville, United States

Impact: Characterizing contributions of biological variables to lumbosacral spinal cord MRI morphometry in healthy controls enables detection of disease-related effects such as cord and gray matter atrophy in pwMS, informing future studies of imaging biomarkers in the lumbosacral enlargement.

Computer Number: 90

F. Wang, J. Gore, L. M. Chen
Vanderbilt University Medical Center, Nashville, United States

Impact: Multi-parametric MRI offers sensitive and specific metrics for assessing changes within the spinal cord after sensory nerve root injury. Our findings reveal the early-stage structural and biochemical alterations at the damaged nerve roots and the adjacent dorsal root entry zone.

Computer Number: 91

B. Brito Vega, P. Goebl, J. E. Iglesias, S. Narayanan, R. Wolz, F. Barkhof, A. Eshaghi
University College London, London, United Kingdom

Impact: Our model paves the way for training contrast-agnostic and resolution-independent MRI segmentation models for spinal cord. This facilitates the processing of routine care data supporting more robust, translatable and generalisable models which can impact patients with neurological disorders.

Computer Number: 92

L. Farner, T. Emmenegger, M. Seif, A. Hug, N. Weidner, A. Curt, P. Freund
Balgrist University Hospital, Zurich, Switzerland

Impact: By leveraging advanced Multiparameter Mapping MRI techniques across 8 European centers, we have identified specific volumetric and microstructural alterations that correlate with functional outcomes. These findings underscore the importance of early detection and targeted interventions, potentially guiding future therapeutic strategies.

Computer Number: 93

N. Marini, N. Lesack, S. Morris, A. Yung, K. Bale, S. George, A. Bauman, P. Kozlowski, Z. Samadi-Bahrami, C. Fournier, P. Mattu, L. Parker, K. Dong, F. Streijger, W. Moore, A. Velenosi, V. Hirsch-Reinshagen, B. Kwon, C. Laule
International Collaboration on Repair Discoveries, Vancouver, Canada

Impact:

Acute in-vivo MRI at time of spinal cord injury may be insufficient to predict the degree of permanent tissue damage. Additional MRI methods are needed to improve spinal cord injury long-term prognostication.

Computer Number: 94

E. Wilczynski, M. Teixeira Resende, B. August, I. Duncan, P. Basser, Y. Cohen
Eunice Kennedy Shriver National Institute of Child health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, United States

Impact: The results validate the MEX sequence capabilities to quantify myelin content, with the prospective of clinical use. The main challenge is reducing scan time. Additionally, the use of the Taiep model shows great promise for further studying genetic dysmyelination disorders.

Computer Number: 95

A. Lebret, A. Forodighasemabadi, S. Schading-Sassenhausen, P. Freund, V. Callot, M. Seif
Balgrist University Hospital, Zurich, Switzerland

Impact: T₁ mapping along the central nervous system enables better understanding anterograde and retrograde degenerative processes in vivo after SCI within scan times appropriate for clinical routine.

Computer Number: 96

S. Bédard, E. Karthik, J. Valošek, J. Cohen-Adad
Polytechnique Montréal, Montréal, Canada

Impact: Reducing the required sample size will allow for early spinal cord atrophy detection, especially in multi-center and multi-contrast studies.