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@ARTICLE{Cieciera:125646,
      author       = {M. Cieciera and C. Kratochwil and J. Moltz and H. U.
                      Kauczor and T. Holland-Letz$^*$ and P. Choyke and W. Mier
                      and U. Haberkorn$^*$ and F. Giesel$^*$},
      title        = {{S}emi-automatic 3{D}-volumetry of liver metastases from
                      neuroendocrine tumors to improve combination therapy with
                      177{L}u-{DOTATOC} and 90{Y}-{DOTATOC}.},
      journal      = {Diagnostic and interventional radiology},
      volume       = {22},
      number       = {3},
      issn         = {1305-3612},
      address      = {Ankara},
      reportid     = {DKFZ-2017-01772},
      pages        = {201 - 206},
      year         = {2016},
      abstract     = {Patients with neuroendocrine tumors (NET) often present
                      with disseminated liver metastases and can be treated with a
                      number of different nuclides or nuclide combinations in
                      peptide receptor radionuclide therapy (PRRT) depending on
                      tumor load and lesion diameter. For quantification of
                      disseminated liver lesions, semi-automatic lesion detection
                      is helpful to determine tumor burden and tumor diameter in a
                      time efficient manner. Here, we aimed to evaluate
                      semi-automated measurement of total metastatic burden for
                      therapy stratification.Nineteen patients with liver
                      metastasized NET underwent contrast-enhanced 1.5 T MRI using
                      gadolinium-ethoxybenzyl diethylenetriaminepentaacetic acid.
                      Liver metastases (n=1537) were segmented using Fraunhofer
                      MEVIS Software for three-dimensional (3D) segmentation. All
                      lesions were stratified according to longest 3D diameter >20
                      mm or ≤20 mm and relative contribution to tumor load was
                      used for therapy stratification.Mean count of lesions ≤20
                      mm was 67.5 and mean count of lesions >20 mm was 13.4.
                      However, mean contribution to total tumor volume of lesions
                      ≤20 mm was $24\%,$ while contribution of lesions >20 mm
                      was $76\%.Semi-automatic$ lesion analysis provides useful
                      information about lesion distribution in predominantly liver
                      metastasized NET patients prior to PRRT. As conventional
                      manual lesion measurements are laborious, our study shows
                      this new approach is more efficient and less
                      operator-dependent and may prove to be useful in the
                      decision making process selecting the best combination PRRT
                      in each patient.},
      keywords     = {177Lu-octreotide, DOTA(0)-Tyr(3)- (NLM Chemicals) /
                      90Y-octreotide, DOTA-Tyr(3)- (NLM Chemicals) /
                      Radiopharmaceuticals (NLM Chemicals) / gadolinium
                      ethoxybenzyl DTPA (NLM Chemicals) / Gadolinium DTPA (NLM
                      Chemicals) / Octreotide (NLM Chemicals)},
      cin          = {C060 / E060},
      ddc          = {610},
      cid          = {I:(DE-He78)C060-20160331 / I:(DE-He78)E060-20160331},
      pnm          = {315 - Imaging and radiooncology (POF3-315)},
      pid          = {G:(DE-HGF)POF3-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:27015320},
      pmc          = {pmc:PMC4859734},
      doi          = {10.5152/dir.2015.15304},
      url          = {https://inrepo02.dkfz.de/record/125646},
}