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@ARTICLE{Lohmann:825824,
      author       = {Lohmann, Philipp and Stoffels, Gabriele and Ceccon, Garry
                      and Rapp, Marion and Sabel, Michael and Filss, Christian and
                      Kamp, Marcel A. and Stegmayr, Carina and Neumaier, Bernd and
                      Shah, Nadim J. and Langen, Karl-Josef and Galldiks, Norbert},
      title        = {{R}adiation injury vs. recurrent brain metastasis:
                      combining textural feature radiomics analysis and standard
                      parameters may increase $^{18}${F}-{FET} {PET} accuracy
                      without dynamic scans},
      journal      = {European radiology},
      volume       = {27},
      number       = {7},
      issn         = {1432-1084},
      address      = {Berlin},
      publisher    = {Springer},
      reportid     = {FZJ-2017-00126},
      pages        = {2916–2927},
      year         = {2017},
      abstract     = {ObjectivesWe investigated the potential of textural feature
                      analysis of O-(2-[18F]fluoroethyl)-L-tyrosine (18F-FET) PET
                      to differentiate radiation injury from brain metastasis
                      recurrence.MethodsForty-seven patients with
                      contrast-enhancing brain lesions (n = 54) on MRI after
                      radiotherapy of brain metastases underwent dynamic 18F-FET
                      PET. Tumour-to-brain ratios (TBRs) of 18F-FET uptake and 62
                      textural parameters were determined on summed images 20-40
                      min post-injection. Tracer uptake kinetics, i.e.,
                      time-to-peak (TTP) and patterns of time-activity curves
                      (TAC) were evaluated on dynamic PET data from 0-50 min
                      post-injection. Diagnostic accuracy of investigated
                      parameters and combinations thereof to discriminate between
                      brain metastasis recurrence and radiation injury was
                      compared.ResultsDiagnostic accuracy increased from 81 $\%$
                      for TBRmean alone to 85 $\%$ when combined with the textural
                      parameter Coarseness or Short-zone emphasis. The accuracy of
                      TBRmax alone was 83 $\%$ and increased to 85 $\%$ after
                      combination with the textural parameters Coarseness,
                      Short-zone emphasis, or Correlation. Analysis of TACs
                      resulted in an accuracy of 70 $\%$ for kinetic pattern alone
                      and increased to 83 $\%$ when combined with
                      TBRmax.ConclusionsTextural feature analysis in combination
                      with TBRs may have the potential to increase diagnostic
                      accuracy for discrimination between brain metastasis
                      recurrence and radiation injury, without the need for
                      dynamic 18F-FET PET scans.},
      cin          = {INM-3 / INM-4 / INM-5 / JARA-BRAIN},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406 / I:(DE-Juel1)INM-4-20090406 /
                      I:(DE-Juel1)INM-5-20090406 / $I:(DE-82)080010_20140620$},
      pnm          = {573 - Neuroimaging (POF3-573)},
      pid          = {G:(DE-HGF)POF3-573},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000403366700030},
      doi          = {10.1007/s00330-016-4638-2},
      url          = {https://juser.fz-juelich.de/record/825824},
}