Key clinical benefits of neuroimaging at 7 T

Abstract

The growing interest in ultra-high field MRI, with more than 35.000 MR examinations already performed at 7T, is related to improved clinical results with regard to morphological as well as functional and metabolic capabilities. Since the signal-to-noise ratio increases with the field strength of the MR scanner, the most evident application at 7T is to gain higher spatial resolution in the brain compared to 3T. Of specific clinical interest for neuro applications is the cerebral cortex at 7T, for the detection of changes in cortical structure, like the visualization of cortical microinfarcts and cortical plaques in Multiple Sclerosis. In imaging of the hippocampus, even subfields of the internal hippocampal anatomy and pathology may be visualized with excellent spatial resolution. Using Susceptibility Weighted Imaging, the plaque-vessel relationship and iron accumulations in Multiple Sclerosis can be visualized, which may provide a prognostic factor of disease. Vascular imaging is a highly promising field for 7T which is dealt with in a separate dedicated article in this special issue. The static and dynamic blood oxygenation level-dependent contrast also increases with the field strength, which significantly improves the accuracy of pre-surgical evaluation of vital brain areas before tumor removal. Improvement in acquisition and hardware technology have also resulted in an increasing number of MR spectroscopic imaging studies in patients at 7T. More recent parallel imaging and short-TR acquisition approaches have overcome the limitations of scan time and spatial resolution, thereby allowing imaging matrix sizes of up to 128×128. The benefits of these acquisition approaches for investigation of brain tumors and Multiple Sclerosis have been shown recently. Together, these possibilities demonstrate the feasibility and advantages of conducting routine diagnostic imaging and clinical research at 7T.

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References 173

1. 1.

   Absinta M, Reich DS, Filippi M. Spring cleaning: time to rethink imaging research lines in MS? J Neurol. 2016a.

   Not in our library10.1007/s00415-016-8060-0

2. 2.

   Absinta M, Sati P, Gaitan MI, Maggi P, Cortese IC, Filippi M, Reich DS. Seven-tesla phase imaging of acute multiple sclerosis lesions: a new window into the inflammatory process. Ann Neurol. 2013;74:669-678.

   Not in our library10.1002/ana.23959

3. 3.

   Absinta M, Sati P, Schindler M, Leibovitch EC, Ohayon J, Wu T, Meani A, Filippi M, Jacobson S, Cortese IC, Reich DS. Persistent 7-tesla phase rim predicts poor outcome in new multiple sclerosis patient lesions. J Clin Invest. 2016b.

   Not in our library10.1172/jci86198

4. 4.

   Bagnato F, Hametner S, Yao B, van Gelderen P, Merkle H, Cantor FK, Lassmann H, Duyn JH. Tracking iron in multiple sclerosis: a combined imaging and histopathological study at 7 T. Brain. 2011a;134:3602-3615.

   Not in our library10.1093/brain/awr278

5. 5.

   Bagnato F, Hametner S, Yao B, van Gelderen P, Merkle H, Cantor FK, Lassmann H, Duyn JH. Tracking iron in multiple sclerosis: a combined imaging and histopathological study at 7 T. Brain. 2011b;134:3599-3612.

   Not in our library10.1093/brain/awr278

6. 6.

   Barkovich AJ, Guerrini R, Kuzniecky RI, Jackson GD, Dobyns WB. A developmental and genetic classification for malformations of cortical development: update 2012. Brain. 2012;135:1348-1369.

   Not in our library10.1093/brain/aws019

7. 7.
   Simultaneous multislice (SMS) imaging techniques · 2015

   No notice
8. 8.

   Beckmann CF. Modelling with independent components. NeuroImage. 2012;62:891-901.

   Not in our library10.1016/j.neuroimage.2012.02.020

9. 9.

   Beisteiner R. Improving clinical fMRI: better paradigms or higher field strength? AJNR Am J Neuroradiol. 2013;34:1972-1973.

   Not in our library10.3174/ajnr.a3722

10. 10.

    Beisteiner R, Lanzenberger R, Novak K, Edward V, Windischberger C, Erdler M, Cunnington R, Gartus A, Streibl B, Moser E, Czech T, et al. Improvement of presurgical patient evaluation by generation of functional magnetic resonance risk maps. Neurosci Lett. 2000;290:13-16.

    Not in our library10.1016/s0304-3940(00)01303-3

11. 11.

    Beisteiner R, Robinson S, Wurnig M, Hilbert M, Merksa K, Rath J, Hollinger I, Klinger N, Marosi C, Trattnig S, Geissler A. Clinical fMRI: evidence for a 7T benefit over 3T. NeuroImage. 2011;57:1015-1021.

    Not in our library10.1016/j.neuroimage.2011.05.010

12. 12.

    Benjamin P, Viessmann O, MacKinnon AD, Jezzard P, Markus HS. 7 T MRI in cerebral small vessel disease. Int J Stroke. 2015;10:659-664.

    Not in our library10.1111/ijs.12490

13. 13.

    Bian W, Hess CP, Chang SM, Nelson SJ, Lupo JM. Susceptibility-weighted MR imaging of radiation therapy-induced cerebral microbleeds in patients with glioma: a comparison between 3T and 7T. Neuroradiology. 2014;56:91-96.

    Not in our library10.1007/s00234-013-1297-8

14. 14.

    Biller A, Badde S, Nagel A, Neumann JO, Wick W, Hertenstein A, Bendszus M, Sahm F, Benkhedah N, Kleesiek J. Improved Brain Tumor Classification by Sodium MR Imaging: prediction of IDH Mutation Status and Tumor Progression. AJNR Am J Neuroradiol. 2016;37:66-73.

    Not in our library10.3174/ajnr.a4493

15. 15.

    Bisdas S, Chadzynski GL, Braun C, Schittenhelm J, Skardelly M, Hagberg GE, Ethofer T, Pohmann R, Shajan G, Engelmann J, Tabatabai G, et al. MR spectroscopy for in vivo assessment of the oncometabolite 2-hydroxyglutarate and its effects on cellular metabolism in human brain gliomas at 9.4T. J Magn Reson Imaging. 2016.

    Not in our library10.1002/jmri.25221

16. 16.

    Blumcke I, Muhlebner A. Neuropathological work-up of focal cortical dysplasias using the new ILAE consensus classification system - practical guideline article invited by the Euro-CNS Research Committee. Clin Neuropathol. 2011;30:164-177.

    Not in our library10.5414/np300398

17. 17.

    Bogner W, Chmelik M, Andronesi OC, Sorensen AG, Trattnig S, Gruber S. In Vivo (31)P Spectroscopy by Fully Adiabatic Extended Image Selected In Vivo Spectroscopy: a Comparison Between 3 T and 7 T. Magn Reson Med. 2011;66:923-930.

    Not in our library10.1002/mrm.22897

18. 18.

    Bogner W, Gruber S, Trattnig S, Chmelik M. High-resolution mapping of human brain metabolites by free induction decay (1)H MRSI at 7 T. NMR Biomed. 2012;25:873-882.

    Not in our library10.1002/nbm.1805

19. 19.

    Brandt AS, Unschuld PG, Pradhan S, Lim IA, Churchill G, Harris AD, Hua J, Barker PB, Ross CA, van Zijl PC, Edden RA, et al. Age-related changes in anterior cingulate cortex glutamate in schizophrenia: a (1)H MRS Study at 7Tesla. Schizophr Res. 2016;172:101-105.

    Not in our library10.1016/j.schres.2016.02.017

20. 20.

    Breyer T, Wanke I, Maderwald S, Woermann FG, Kraff O, Theysohn JM, Ebner A, Forsting M, Ladd ME, Schlamann M. Imaging of Patients with Hippocampal Sclerosis at 7 T: initial Results. Acad Radiol. 2010;17:421-426.

    Not in our library10.1016/j.acra.2009.10.013

21. 21.

    Cai K, Nanga RP, Lamprou L, Schinstine C, Elliott M, Hariharan H, Reddy R, Epperson CN. The impact of gabapentin administration on brain GABA and glutamate concentrations: a 7T 1H-MRS study. Neuropsychopharmacol: Off Publ Am Coll Neuropsychopharmacol. 2012;37:2764-2771.

    Not in our library10.1038/npp.2012.142

22. 22.

    Cardoso P, Polimeni J, Poser BA, Barth M, Trattnig S, Robinson SD. A comparison of time-series SNR and Nyquist ghosting with different parallel imaging autocalibration acquisition schemes in 7 T fMRI with a chin task. Twenty-. 2016a.

    Not in our library

23. 23.

    Cardoso PL, Fischmeister FP, Dymerska B, Geissler A, Wurnig M, Trattnig S, Beisteiner R, Robinson SD. Improving the clinical potential of ultra-high field fMRI using a model-free analysis method based on response consistency. Magma. 2016b;29:435-449.

    Not in our library10.1007/s10334-016-0533-8

24. 24.

    Chakeres DW, Whitaker CDS, Dashner RA, Scharre DW, Beversdorf DQ, Raychaudhury A, Schmalbrock P. High-resolution 8 T imaging of the formalin-fixed normal human hippocampus. Clin Anat. 2005;18:88-91.

    Not in our library10.1002/ca.10232

25. 25.

    Charcot JM. Histologie de la sclerose en plaques. Gaz Des Hop (Paris). 1868;41:554-566.

    Not in our library

26. 26.

    Conijn MMA, Geerlings MI, Biessels GJ, Takahara T, Witkamp TD, Zwanenburg JJM, Luijten PR, Hendrikse J. Cerebral Microbleeds on MR Imaging: comparison between 1.5 and 7T. Am J Neuroradiol. 2011;32:1043-1049.

    Not in our library10.3174/ajnr.a2450

27. 27.

    Coras R, Milesi G, Zucca I, Mastropietro A, Scotti A, Figini M, Muhlebner A, Hess A, Graf W, Tringali G, Blumcke I, et al. 7T MRI features in control human hippocampus and hippocampal sclerosis: an ex vivo study with histologic correlations. Epilepsia. 2014;55:2003-2016.

    Not in our library10.1111/epi.12828

28. 28.

    Costagli M, Kelley DA, Symms MR, Biagi L, Stara R, Maggioni E, Tiberi G, Barba C, Guerrini R, Cosottini M, Tosetti M. Tissue Border Enhancement by inversion recovery MRI at 7.0 T. Neuroradiology. 2014;56:517-523.

    Not in our library10.1007/s00234-014-1365-8

29. 29.

    Daams M, Geurts JJ, Barkhof F. Cortical imaging in multiple sclerosis: recent findings and 'grand challenges'. Curr Opin Neurol. 2013;26:345-352.

    Not in our library10.1097/wco.0b013e328362a864

30. 30.

    Dal-Bianco A, Hametner S, Grabner G, Schernthaner M, Kronnerwetter C, Reitner A, Vass C, Kircher K, Auff E, Leutmezer F, Vass K, et al. Veins in plaques of multiple sclerosis patients - a longitudinal magnetic resonance imaging study at 7 T. Eur Radiol. 2015a;25:2913-2920.

    Not in our library10.1007/s00330-015-3719-y

31. 31.

    Dal-Bianco A, Hametner S, Grabner G, Schernthaner M, Kronnerwetter C, Reitner A, Vass C, Kircher K, Auff E, Leutmezer F, Vass K, Trattnig S. Veins in plaques of multiple sclerosis patients - a longitudinal magnetic resonance imaging study at 7 T -. Eur Radiol. 2015b;25:2913-2920.

    Not in our library10.1007/s00330-015-3719-y

32. 32.

    De Ciantis A, Barba C, Tassi L, Cosottini M, Tosetti M, Costagli M, Bramerio M, Bartolini E, Biagi L, Cossu M, Pelliccia V, et al. 7T MRI in focal epilepsy with unrevealing conventional field strength imaging. Epilepsia. 2016;57:445-454.

    Not in our library10.1111/epi.13313

33. 33.

    de Graaf WL, Kilsdonk ID, Lopez-Soriano A, Zwanenburg JJ, Visser F, Polman CH, Castelijns JA, Geurts JJ, Pouwels PJ, Luijten PR, Barkhof F, et al. Clinical application of multi-contrast 7-T MR imaging in multiple sclerosis: increased lesion detection compared to 3 T confined to grey matter. Eur Radiol. 2013;23:528-540.

    Not in our library10.1007/s00330-012-2619-7

34. 34.

    de Graaf WL, Zwanenburg JJ, Visser F, Wattjes MP, Pouwels PJ, Geurts JJ, Polman CH, Barkhof F, Luijten PR, Castelijns JA. Lesion detection at seven Tesla in multiple sclerosis using magnetisation prepared 3D-FLAIR and 3D-DIR. Eur Radiol. 2012;22:221-231.

    Not in our library10.1007/s00330-011-2242-z

35. 35.

    De Reuck J, Deramecourt V, Auger F, Durieux N, Cordonnier C, Devos D, Defebvre L, Moreau C, Caparros-Lefebvre D, Bordet R, Maurage CA, et al. Post-mortem 7.0-tesla magnetic resonance study of cortical microinfarcts in neurodegenerative diseases and vascular dementia with neuropathological correlates. J Neurol Sci. 2014;346:85-89.

    Not in our library10.1016/j.jns.2014.07.061

36. 36.

    de Rotte AA, Groenewegen A, Rutgers DR, Witkamp T, Zelissen PM, Meijer FJ, van Lindert EJ, Hermus A, Luijten PR, Hendrikse J. High resolution pituitary gland MRI at 7.0 T: a clinical evaluation in Cushing's disease. Eur Radiol. 2016;26:271-277.

    Not in our library10.1007/s00330-015-3809-x

37. 37.

    de Rotte AA, van der Kolk AG, Rutgers D, Zelissen PM, Visser F, Luijten PR, Hendrikse J. Feasibility of high-resolution pituitary MRI at 7.0 T. Eur Radiol. 2014;24:2005-2011.

    Not in our library10.1007/s00330-014-3230-x

38. 38.

    de Zwart JA, Ledden PJ, Kellman P, van Gelderen P, Duyn JH. Design of a SENSE-optimized high-sensitivity MRI receive coil for brain imaging. Magn Reson Med. 2002;47:1218-1227.

    Not in our library10.1002/mrm.10169

39. 39.

    Deistung A, Schweser F, Reichenbach JR. Overview of quantitative susceptibility mapping. NMR Biomed. 2016.

    Not in our library10.1002/nbm.3569

40. 40.

    Di Ieva A, God S, Grabner G, Grizzi F, Sherif C, Matula C, Tschabitscher M, Trattnig S. Three-dimensional susceptibility-weighted imaging at 7 T using fractal-based quantitative analysis to grade gliomas. Neuroradiology. 2013;55:35-40.

    Not in our library10.1007/s00234-012-1081-1

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