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@ARTICLE{Hinsen:277788,
      author       = {M. Hinsen and A. M. Nagel$^*$ and M. S. May and M.
                      Wiesmueller and M. Uder and R. Heiss},
      title        = {{L}ung {N}odule {D}etection {W}ith {M}odern {L}ow-{F}ield
                      {MRI} (0.55 {T}) in {C}omparison to {CT}.},
      journal      = {Investigative radiology},
      volume       = {59},
      number       = {3},
      issn         = {0020-9996},
      address      = {[Erscheinungsort nicht ermittelbar]},
      publisher    = {Ovid},
      reportid     = {DKFZ-2023-01502},
      pages        = {215-222},
      year         = {2024},
      note         = {2024 Mar 1;59(3):215-222},
      abstract     = {The aim of this study was to evaluate the accuracy of
                      modern low-field magnetic resonance imaging (MRI) for lung
                      nodule detection and to correlate nodule size measurement
                      with computed tomography (CT) as reference.Between November
                      2020 and July 2021, a prospective clinical trial using
                      low-field MRI at 0.55 T was performed in patients with known
                      pulmonary nodules from a single academic medical center.
                      Every patient underwent MRI and CT imaging on the same day.
                      The primary aim was to evaluate the detection accuracy of
                      pulmonary nodules using MRI with transversal periodically
                      rotated overlapping parallel lines with enhanced
                      reconstruction in combination with coronal half-Fourier
                      acquired single-shot turbo spin-echo MRI sequences. The
                      secondary outcome was the correlation of the mean lung
                      nodule diameter with CT as reference according to the Lung
                      Imaging Reporting and Data System. Nonparametric
                      Mann-Whitney U test, Spearman rank correlation coefficient,
                      and Bland-Altman analysis were applied to analyze the
                      results.A total of 46 participants (mean age ± SD, 66 ± 11
                      years; 26 women) were included. In a blinded analysis of 964
                      lung nodules, the detection accuracy was $100\%$ for those
                      ≥6 mm (126/126), $80\%$ (159/200) for those ≥4-<6 mm,
                      and $23\%$ (147/638) for those <4 mm in MRI compared with
                      reference CT. Spearman correlation coefficient of MRI and CT
                      size measurement was r = 0.87 (P < 0.001), and the mean
                      difference was 0.16 ± 0.9 mm.Modern low-field MRI shows
                      excellent accuracy in lesion detection for lung nodules ≥6
                      mm and a very strong correlation with CT imaging for size
                      measurement, but could not compete with CT in the detection
                      of small nodules.},
      cin          = {E020},
      ddc          = {610},
      cid          = {I:(DE-He78)E020-20160331},
      pnm          = {315 - Bildgebung und Radioonkologie (POF4-315)},
      pid          = {G:(DE-HGF)POF4-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:37490031},
      doi          = {10.1097/RLI.0000000000001006},
      url          = {https://inrepo02.dkfz.de/record/277788},
}