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@ARTICLE{Zeyen:282543,
author = {Zeyen, Thomas and Sabir, Hemmen and Bauer, Tobias and
Henke, Oliver and Lehnen, Nils and Zidan, Mousa and Olbrich,
Simon and Lange, Annalena and Bisten, Justus and Groteklaes,
Anne and Faber, Jennifer and Röver, Lea and Schäfer,
Niklas and Weller, Johannes and Bruchhausen, Walter and
Radbruch, Alexander and Herrlinger, Ulrich and Rüber,
Theodor},
title = {{P}roof of concept: {P}ortable ultra-low-field {MRI} for
the assessment of brain tumors},
journal = {Neuro-oncology practice},
volume = {AOP},
issn = {2054-2577},
address = {Oxford},
publisher = {Oxford Univ. Press},
reportid = {DZNE-2025-01306},
pages = {npaf101},
year = {2025},
abstract = {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.},
cin = {AG Sabir / AG Radbruch / Clinical Research Platform (CRP)},
ddc = {610},
cid = {I:(DE-2719)5000032 / I:(DE-2719)5000075 /
I:(DE-2719)1011401},
pnm = {352 - Disease Mechanisms (POF4-352) / 353 - Clinical and
Health Care Research (POF4-353)},
pid = {G:(DE-HGF)POF4-352 / G:(DE-HGF)POF4-353},
typ = {PUB:(DE-HGF)16},
doi = {10.1093/nop/npaf101},
url = {https://pub.dzne.de/record/282543},
}