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| 001 | 282543 | ||
| 005 | 20251201102734.0 | ||
| 024 | 7 | _ | |a 10.1093/nop/npaf101 |2 doi |
| 024 | 7 | _ | |a 2054-2577 |2 ISSN |
| 024 | 7 | _ | |a 2054-2585 |2 ISSN |
| 037 | _ | _ | |a DZNE-2025-01306 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Zeyen, Thomas |0 0009-0006-2919-8622 |b 0 |
| 245 | _ | _ | |a Proof of concept: Portable ultra-low-field MRI for the assessment of brain tumors |
| 260 | _ | _ | |a Oxford |c 2025 |b Oxford Univ. Press |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1764581171_18439 |2 PUB:(DE-HGF) |
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| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a BackgroundHigh-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.MethodsConsecutive 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.ResultsThirteen 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.ConclusionThis 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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| 700 | 1 | _ | |a Sabir, Hemmen |0 P:(DE-2719)9000732 |b 1 |u dzne |
| 700 | 1 | _ | |a Bauer, Tobias |0 P:(DE-2719)9002598 |b 2 |
| 700 | 1 | _ | |a Henke, Oliver |b 3 |
| 700 | 1 | _ | |a Lehnen, Nils |b 4 |
| 700 | 1 | _ | |a Zidan, Mousa |b 5 |
| 700 | 1 | _ | |a Olbrich, Simon |b 6 |
| 700 | 1 | _ | |a Lange, Annalena |b 7 |
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| 700 | 1 | _ | |a Röver, Lea |b 11 |
| 700 | 1 | _ | |a Schäfer, Niklas |b 12 |
| 700 | 1 | _ | |a Weller, Johannes |0 0000-0001-5818-5392 |b 13 |
| 700 | 1 | _ | |a Bruchhausen, Walter |b 14 |
| 700 | 1 | _ | |a Radbruch, Alexander |0 P:(DE-2719)9001861 |b 15 |u dzne |
| 700 | 1 | _ | |a Herrlinger, Ulrich |b 16 |
| 700 | 1 | _ | |a Rüber, Theodor |0 0000-0002-6180-7671 |b 17 |
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