Synopsis
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362-05-015
ISMRM Abstract
Characterization of metabolic profiles of low- and high-grade gliomas by 1H FID MRSI at 7T
Accepted
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1. Weller M, van den Bent M, Tonn JC, et al. ; European Association for Neuro-Oncology (EANO) Task Force on Gliomas. European Association for Neuro-Oncology (EANO) guideline on the diagnosis and treatment of adult astrocytic and oligodendroglial gliomas. Lancet Oncol. 2017;18(6):e315–e329.
2. Wen PY, Macdonald DR, Reardon DA, et al. Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group. J Clin Oncol. 2010;28(11):1963–1972.
3. Wen PY, Chang SM, Van den Bent MJ, Vogelbaum MA, Macdonald DR, Lee EQ. Response assessment in neuro-oncology clinical trials. J Clin Oncol. 2017;35(21):2439–2449.
4. Barker PB. N-acetyl aspartate--a neuronal marker? Ann Neurol. 2001 Apr;49(4):423-4. PMID: 11310618. [pmid]
5. Horská, Alena et al. Imaging of Brain Tumors: MR Spectroscopy and Metabolic Imaging. Neuroimaging Clinics, Volume 20, Issue 3, 293 – 310.
6. Hangel G, Spurny-Dworak B, Lazen P, Cadrien C, Sharma S, Hingerl L, Hečková E, Strasser B, Motyka S, Lipka A, Gruber S, Brandner C, Lanzenberger R, Rössler K, Trattnig S, Bogner W. Inter-subject stability and regional concentration estimates of 3D-FID-MRSI in the human brain at 7 T. NMR Biomed. 2021 Dec;34(12):e4596. doi: 10.1002/nbm.4596. Epub 2021 Aug 11. PMID: 34382280; PMCID: PMC11475238. [doi] [pmid]
7. Jani M, Su S, Sarma MK, Fillmer A, Henning A. Versatile Open source B shimtool. Proceedings of the 30th annual scientific meeting of ISMRM, May 7th – 12th 2022,London, UK.
8. Wright AM, Murali-Manohar S, Henning A. Quantitative T1-relaxation corrected metabolite mapping of 12 metabolites in the human brain at 9.4 T. Neuroimage. 2022 Nov;263:119574. doi: 10.1016/j.neuroimage.2022.119574. Epub 2022 Sep 1. PMID: 36058442. [doi] [pmid]
9. Chan KL, Henning A. MultiNet CAIPIRINHA: accelerated H MRSI with 1-step neural network reconstruction based on augmented MRSI training data. Proceedings of the 30th annual scientific meeting of ISMRM, May 7th – 12th 2022,London, UK.
10. Ziegs, T, Wright, AM, Henning, A. Test–retest reproducibility of human brain multi-slice 1H FID-MRSI data at 9.4T after optimization of lipid regularization, macromolecular model, and spline baseline stiffness. Magn Reson Med. 2023; 89: 11-28. doi:10.1002/mrm.29423. [doi]
11. U.Baid, et al., "The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification", arXiv:2107.02314, 2021.
12. B. H. Menze, A. Jakab, S. Bauer, J. Kalpathy-Cramer, K. Farahani, J. Kirby, et al. "The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)", IEEE Transactions on Medical Imaging 34(10), 1993-2024 (2015) DOI: 10.1109/TMI.2014.2377694 [doi]
13. S. Bakas, H. Akbari, A. Sotiras, M. Bilello, M. Rozycki, J.S. Kirby, et al., "Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features", Nature Scientific Data, 4:170117 (2017) DOI: 10.1038/sdata.2017.117. [doi]
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http://echo.ismrm.org/p/ISMRM2026/362-05-015