Proof of concept: Portable ultra-low-field MRI for the assessment of brain tumors

Abstract Background High-field (HF) MRI is a standard diagnostic tool for brain cancer, but its high cost and technical demands limit accessibility in low- and middle-income countries. Recent advancements in ultra-low field (ULF) MRI technology, including the development of portable scanners, offer a promising solution to these challenges. This study evaluates the diagnostic capabilities of ULF-MRI in detecting brain cancer and compares radiological evaluation using ULF- with HF-MRI. Methods Consecutive patients with suspected or confirmed brain tumors undergoing routine 3T HF-MRI at the University Hospital Bonn were recruited for this study and underwent ULF-MRI. Eligible patients were at least 18 years old and had MRI-abnormalities in the HF-MRI. The 0.064 Tesla Swoop portable MR Imaging System was utilized. HF-MRI and ULF-MRI scans were independently evaluated by two experienced neuroradiologists and results were compared. Results Thirteen patients were recruited, of whom 11 (85%) were diagnosed with brain tumors. In 11/11 (100%) patients with brain tumors, ULF-MRI identified tumor lesions corresponding to the findings of HF-MRI. In 7/11 (63.6%) identification of all tumor lesions could be achieved. Three of four further relevant imaging findings in HF-MRI (e.g. acute hydrocephalus or concomitant ischemia) were also found in in ULF-MRI. Conclusion This single-center study demonstrates that ULF-MRI is a practical tool in neuro-oncology, which may particularly be helpful in resource-limited settings. Further research is required to define the role of ULF-MRI alongside existing imaging modalities for brain cancer diagnosis and management.

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Publication Details

Journal
Neuro-Oncology Practice
Published
2025-09-25
DOI
https://doi.org/10.1093/nop/npaf101
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Proof of concept: Portable ultra-low-field MRI for the assessment of brain tumors

Niklas Schäfer, Walter Bruchhausen, Mousa Zidan, Oliver Henke et al.
Neuro-Oncology Practice
Advanced MRI Techniques and Applications
article

Proof of concept: Portable ultra-low-field MRI for the assessment of brain tumors

Niklas Schäfer, Walter Bruchhausen, Mousa Zidan, Oliver Henke, Hemmen Sabir, Lea Kristin Röver, Tobias Bauer, Nils Lehnen, Jennifer Faber, Ulrich Herrlinger, Thomas Zeyen, Sebastian Olbrich, Johannes Weller, Anderson Lange, Alexander Radbruch, Theodor Rüber, Anne Groteklaes, Justus Bisten
article en

Abstract

Abstract Background High-field (HF) MRI is a standard diagnostic tool for brain cancer, but its high cost and technical demands limit accessibility in low- and middle-income countries. Recent advancements in ultra-low field (ULF) MRI technology, including the development of portable scanners, offer a promising solution to these challenges. This study evaluates the diagnostic capabilities of ULF-MRI in detecting brain cancer and compares radiological evaluation using ULF- with HF-MRI. Methods Consecutive patients with suspected or confirmed brain tumors undergoing routine 3T HF-MRI at the University Hospital Bonn were recruited for this study and underwent ULF-MRI. Eligible patients were at least 18 years old and had MRI-abnormalities in the HF-MRI. The 0.064 Tesla Swoop portable MR Imaging System was utilized. HF-MRI and ULF-MRI scans were independently evaluated by two experienced neuroradiologists and results were compared. Results Thirteen patients were recruited, of whom 11 (85%) were diagnosed with brain tumors. In 11/11 (100%) patients with brain tumors, ULF-MRI identified tumor lesions corresponding to the findings of HF-MRI. In 7/11 (63.6%) identification of all tumor lesions could be achieved. Three of four further relevant imaging findings in HF-MRI (e.g. acute hydrocephalus or concomitant ischemia) were also found in in ULF-MRI. Conclusion This single-center study demonstrates that ULF-MRI is a practical tool in neuro-oncology, which may particularly be helpful in resource-limited settings. Further research is required to define the role of ULF-MRI alongside existing imaging modalities for brain cancer diagnosis and management.

Neuro-Oncology Practice
University of Bonn (DE), University Hospital Bonn (DE), German Center for Neurodegenerative Diseases (DE)
Openalex Percentile: Top 61%
Advanced MRI Techniques and Applications
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