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@ARTICLE{Lennartz:874902,
      author       = {Lennartz, Simon and Zopfs, David and Nobis, Anne and
                      Paquet, Stefanie and Hoyer, Ulrike Cornelia Isabel and
                      Zäske, Charlotte and Goertz, Lukas and Kabbasch, Christoph
                      and Laukamp, Kai Roman and Große Hokamp, Nils and Galldiks,
                      Norbert and Borggrefe, Jan},
      title        = {{MRI} {F}ollow-up of {A}strocytoma: {A}utomated
                      {C}oregistration and {C}olor-{C}oding of {FLAIR} {S}equences
                      {I}mproves {D}iagnostic {A}ccuracy {W}ith {C}omparable
                      {R}eading {T}ime},
      journal      = {Journal of magnetic resonance imaging},
      volume       = {52},
      number       = {4},
      issn         = {1053-1807},
      address      = {New York, NY},
      publisher    = {Wiley-Liss},
      reportid     = {FZJ-2020-01690},
      pages        = {1197-1206},
      year         = {2020},
      abstract     = {BackgroundMRI follow‐up is widely used for longitudinal
                      assessment of astrocytoma, yet reading can be tedious and
                      error‐prone, in particular when changes are
                      subtle.Purpose/HypothesisTo determine the effect of
                      automated, color‐coded coregistration (AC) of fluid
                      attenuated inversion recovery (FLAIR) sequences on
                      diagnostic accuracy, certainty, and reading time compared to
                      conventional follow‐up MRI assessment of astrocytoma
                      patients.Study TypeRetrospective.PopulationIn all, 41
                      patients with neuropathologically confirmed
                      astrocytoma.Field
                      Strength/Sequence1.0–3.0T/FLAIRAssessmentThe presence or
                      absence of tumor progression was determined based on FLAIR
                      sequences, contrast‐enhanced T1 sequences, and clinical
                      data. Three radiologists assessed 47 MRI study pairs in a
                      conventional reading (CR) and in a second reading supported
                      by AC after 6 weeks. Readers determined the
                      presence/absence of tumor progression and indicated
                      diagnostic certainty on a 5‐point Likert scale. Reading
                      time was recorded by an independent assessor.Statistical
                      TestsThe Wilcoxon test was used to assess reading time and
                      diagnostic certainty. Differences in diagnostic accuracy,
                      sensitivity, and specificity were analyzed with the McNemar
                      mid‐p test.ResultsReaders attained significantly higher
                      overall sensitivity (0.86 vs. 0.75; P < 0.05) and
                      diagnostic accuracy (0.84 vs. 0.73; P < 0.05) for
                      detection of progressive nonenhancing tumor burden when
                      using AC compared to CR. There was a strong trend towards
                      higher specificity within the AC‐augmented reading, yet
                      without statistical significance (0.83 vs. 0.71; P = 0.08).
                      Sensitivity for unequivocal disease progression was
                      similarly high in both approaches (AC: 0.94, CR: 0.92),
                      while for marginal disease progressions, it was
                      significantly higher in AC (AC: 0.78, CR: 0.58;
                      P < 0.05). Reading time including application loading
                      time was comparable (AC: 38.1 ± 16.8 sec, CR:
                      36.0 ± 18.9 s; P = 0.25).Data ConclusionCompared to
                      CR, AC improves comparison of FLAIR signal hyperintensity at
                      MRI follow‐up of astrocytoma patients, allowing for a
                      significantly higher diagnostic accuracy, particularly for
                      subtle disease progression at a comparable reading time.},
      cin          = {INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {572 - (Dys-)function and Plasticity (POF3-572)},
      pid          = {G:(DE-HGF)POF3-572},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32246803},
      UT           = {WOS:000523255700001},
      doi          = {10.1002/jmri.27136},
      url          = {https://juser.fz-juelich.de/record/874902},
}