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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},
}