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@ARTICLE{Bickelhaupt:120619,
      author       = {S. Bickelhaupt$^*$ and F. Steudle$^*$ and D. Paech$^*$ and
                      A. Mlynarska$^*$ and T. A. Kuder$^*$ and W. Lederer and H.
                      Daniel and M. Freitag$^*$ and S. Delorme$^*$ and H.-P.
                      Schlemmer$^*$ and F. B. Laun},
      title        = {{O}n a fractional order calculus model in diffusion
                      weighted breast imaging to differentiate between malignant
                      and benign breast lesions detected on {X}-ray screening
                      mammography.},
      journal      = {PLoS one},
      volume       = {12},
      number       = {4},
      issn         = {1932-6203},
      address      = {Lawrence, Kan.},
      publisher    = {PLoS},
      reportid     = {DKFZ-2017-01047},
      pages        = {e0176077 -},
      year         = {2017},
      abstract     = {To evaluate a fractional order calculus (FROC) model in
                      diffusion weighted imaging to differentiate between
                      malignant and benign breast lesions in breast cancer
                      screening work-up using recently introduced parameters
                      (βFROC, DFROC and μFROC).This retrospective analysis
                      within a prospective IRB-approved study included 51
                      participants (mean 58.4 years) after written informed
                      consent. All patients had suspicious screening mammograms
                      and indication for biopsy. Prior to biopsy, full diagnostic
                      contrast-enhanced MRI examination was acquired including
                      diffusion-weighted-imaging (DWI, b = 0,100,750,1500 s/mm2).
                      Conventional apparent diffusion coefficient Dapp and FROC
                      parameters (βFROC, DFROC and μFROC) as suggested further
                      indicators of diffusivity components were measured in benign
                      and malignant lesions. Receiver operating characteristics
                      (ROC) were calculated to evaluate the diagnostic performance
                      of the parameters.29/51 patients histopathologically
                      revealed malignant lesions. The analysis revealed an AUC for
                      Dapp of 0.89 $(95\%$ CI 0.80-0.98). For FROC derived
                      parameters, AUC was 0.75 (0.60-0.89) for DFROC, 0.59
                      (0.43-0.75) for βFROC and 0.59 (0.42-0.77) for μFROC.
                      Comparison of the AUC curves revealed a significantly higher
                      AUC of Dapp compared to the FROC parameters DFROC (p =
                      0.009), βFROC (p = 0.003) and μFROC (p = 0.001).In
                      contrast to recent description in brain tumors, the apparent
                      diffusion coefficient Dapp showed a significantly higher AUC
                      than the recently proposed FROC parameters βFROC, DFROC and
                      μFROC for differentiating between malignant and benign
                      breast lesions. This might be related to the intrinsic high
                      heterogeneity within breast tissue or to the lower maximal
                      b-value used in our study.},
      cin          = {E010 / E020},
      ddc          = {500},
      cid          = {I:(DE-He78)E010-20160331 / I:(DE-He78)E020-20160331},
      pnm          = {315 - Imaging and radiooncology (POF3-315)},
      pid          = {G:(DE-HGF)POF3-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:28453516},
      pmc          = {pmc:PMC5409173},
      doi          = {10.1371/journal.pone.0176077},
      url          = {https://inrepo02.dkfz.de/record/120619},
}