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@ARTICLE{Bretschi:119707,
      author       = {M. Bretschi$^*$ and A. Fränzle$^*$ and M. Merz$^*$ and J.
                      Hillengass$^*$ and W. Semmler$^*$ and R. Bendl$^*$ and T.
                      Bäuerle$^*$},
      title        = {{A}ssessing treatment response of osteolytic lesions by
                      manual volumetry, automatic segmentation, and {RECIST} in
                      experimental bone metastases.},
      journal      = {Academic radiology},
      volume       = {21},
      number       = {9},
      issn         = {1076-6332},
      address      = {Philadelphia, PA [u.a.]},
      publisher    = {Elsevier},
      reportid     = {DKFZ-2017-00334},
      pages        = {1177 - 1184},
      year         = {2014},
      abstract     = {Aim of the study was to compare between volumetric and
                      unidimensional approaches for treatment response monitoring
                      in a nude rat model of experimental bone metastases. For the
                      volumetric approach, an automated segmentation algorithm of
                      osteolytic lesions was introduced and compared to manual
                      volumetry.Nude rats bearing osteolytic metastases were
                      treated with zoledronate and sunitinib and compared to
                      controls. Treatment response was assessed longitudinally
                      in vivo using flat-panel volumetric computed tomography at
                      days 30, 35, 45, and 55 after tumor cell inoculation. The
                      mean sizes and volumes of osteolytic lesions were determined
                      according to response evaluation criteria in solid tumors
                      (RECIST) and by automated and manual volumetry (software:
                      MITK [The Medical Imaging Interaction Toolkit, Heidelberg,
                      Germany] and VIRTUOS, Heidelberg, Germany).In contrary to
                      RECIST, the manual volumetric approach indicated a
                      significant decrease in osteolytic lesion volume in response
                      to treatment. The presented automatic segmentation algorithm
                      for treatment monitoring identified bone metastases
                      adequately and assessed changes in the osteolytic lesion
                      volume over time according to manual volumetry.In an animal
                      model, volumetric treatment response assessment of
                      osteolytic bone metastases is superior to unidimensional
                      measurements, and automated volumetric segmentation may be a
                      valuable alternative to manual volume determination.},
      keywords     = {Antineoplastic Agents (NLM Chemicals) / Bone Density
                      Conservation Agents (NLM Chemicals) / Diphosphonates (NLM
                      Chemicals) / Imidazoles (NLM Chemicals) / Indoles (NLM
                      Chemicals) / Pyrroles (NLM Chemicals) / zoledronic acid (NLM
                      Chemicals) / sunitinib (NLM Chemicals)},
      cin          = {E020 / E040 / E013},
      ddc          = {610},
      cid          = {I:(DE-He78)E020-20160331 / I:(DE-He78)E040-20160331 /
                      I:(DE-He78)E013-20160331},
      pnm          = {315 - Imaging and radiooncology (POF3-315)},
      pid          = {G:(DE-HGF)POF3-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:24998693},
      doi          = {10.1016/j.acra.2014.04.011},
      url          = {https://inrepo02.dkfz.de/record/119707},
}