% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Rippke:267532,
      author       = {C. Rippke and C. K. Renkamp and C. Stahl-Arnsberger$^*$ and
                      A. Miltner$^*$ and C. Buchele and J. Hörner-Rieber$^*$ and
                      J. Ristau and J. Debus$^*$ and M. Alber and S. Klüter},
      title        = {{A} body mass index-based method for '{MR}-only' abdominal
                      {MR}-guided adaptive radiotherapy.},
      journal      = {Zeitschrift für medizinische Physik},
      volume       = {34},
      number       = {3},
      issn         = {0939-3889},
      address      = {Amsterdam},
      publisher    = {Elsevier, Urban $\&$ Fischer},
      reportid     = {DKFZ-2023-00310},
      pages        = {456-467},
      year         = {2024},
      note         = {2024 Aug;34(3):456-467},
      abstract     = {Dose calculation for MR-guided radiotherapy (MRgRT) at the
                      0.35 T MR-Linac is currently based on deformation of
                      planning CTs (defCT) acquired for each patient. We present a
                      simple and robust bulk density overwrite synthetic CT (sCT)
                      method for abdominal treatments in order to streamline
                      clinical workflows.Fifty-six abdominal patient treatment
                      plans were retrospectively evaluated. All patients had been
                      treated at the MR-Linac using MR datasets for treatment
                      planning and plan adaption and defCT for dose calculation.
                      Bulk density CTs (4M-sCT) were generated from MR images with
                      four material compartments (bone, lung, air, soft tissue).
                      The relative electron densities (RED) for bone and lung were
                      extracted from contoured CT structure average REDs. For soft
                      tissue, a correlation between BMI and RED was evaluated.
                      Dose was recalculated on 4M-sCT and compared to dose
                      distributions on defCTs assessing dose differences in the
                      PTV and organs at risk (OAR).Mean RED of bone was 1.17 ±
                      0.02, mean RED of lung 0.17 ± 0.05. The correlation between
                      BMI and RED for soft tissue was statistically significant (p
                      < 0.01). PTV dose differences between 4M-sCT and defCT were
                      Dmean: -0.4 ± $1.0\%,$ $D1\%:$ -0.3 ± $1.1\%$ and $D95\%:$
                      -0.5 ± $1.0\%.$ OARs showed $D2\%:$ -0.3 ± $1.9\%$ and
                      Dmean: -0.1 ± $1.4\%$ differences. Local 3D gamma index
                      pass rates $(2\%/2mm)$ between dose calculated using 4M-sCT
                      and defCT were 96.8 ± $2.6\%$ (range $89.9-99.6\%).The$
                      presented method for sCT generation enables precise dose
                      calculation for MR-only abdominal MRgRT.},
      keywords     = {Adaptive radiotherapy (Other) / Bulk density (Other) /
                      Image guided radiotherapy (Other) / MR guided radiotherapy
                      (Other) / MR-only (Other) / Synthetic CT (Other)},
      cin          = {E050 / HD01},
      ddc          = {610},
      cid          = {I:(DE-He78)E050-20160331 / I:(DE-He78)HD01-20160331},
      pnm          = {315 - Bildgebung und Radioonkologie (POF4-315)},
      pid          = {G:(DE-HGF)POF4-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:36759229},
      doi          = {10.1016/j.zemedi.2022.12.001},
      url          = {https://inrepo02.dkfz.de/record/267532},
}