% 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{Zhang:277004,
      author       = {T. Zhang$^*$ and D. García-Calderón$^*$ and M.
                      Molina-Hernández$^*$ and J. Leitão$^*$ and J. Hesser and
                      J. Seco$^*$},
      title        = {{A} theoretical study of {H}2 {O}2 as the surrogate of dose
                      in minibeam radiotherapy, with a diffusion model considering
                      radical removal process.},
      journal      = {Medical physics},
      volume       = {50},
      number       = {8},
      issn         = {0094-2405},
      address      = {College Park, Md.},
      publisher    = {AAPM},
      reportid     = {DKFZ-2023-01254},
      pages        = {5262-5272},
      year         = {2023},
      note         = {EA:E041#LA:E041# / 2023 Aug;50(8):5262-5272},
      abstract     = {Minibeam radiation therapy (MBRT) is an innovative dose
                      delivery method with the potential to spare normal tissue
                      while achieving similar tumor control as conventional
                      radiotherapy. However, it is difficult to use a single dose
                      parameter, such as mean dose, to compare different patterns
                      of MBRT due to the spatially fractionated radiation. Also,
                      the mechanism leading to the biological effects is still
                      unknown.This study aims to demonstrate that the hydrogen
                      peroxide (H2 O2 ) distribution could serve as a surrogate of
                      dose distribution when comparing different patterns of
                      MBRT.A free diffusion model (FDM) for H2 O2 developed with
                      Fick's second law was compared with a previously published
                      model based on Monte Carlo $\&$ convolution method. Since
                      cells form separate compartments that can eliminate H2 O2
                      radicals diffusing inside the cell, a term describing the
                      elimination was introduced into the equation. The FDM and
                      the diffusion model considering removal (DMCR) were compared
                      by simulating various dose rate irradiation schemes and
                      uniform irradiation. Finally, the DMCR was compared with
                      previous microbeam and minibeam animal experiments.Compared
                      with a previous Monte Carlo $\&$ Convolution method, this
                      analytical method provides more accurate results.
                      Furthermore, the new model shows H2 O2 concentration
                      distribution instead of the time to achieve a certain H2 O2
                      uniformity. The comparison between FDM and DMCR showed that
                      H2 O2 distribution from FDM varied with dose rate
                      irradiation, while DMCR had consistent results. For uniform
                      irradiation, FDM resulted in a Gaussian distribution, while
                      the H2 O2 distribution from DMCR was close to the dose
                      distribution. The animal studies' evaluation showed a
                      correlation between the H2 O2 concentration in the valley
                      region and treatment outcomes.DMCR is a more realistic model
                      for H2 O2 simulation than the FDM. In addition, the H2 O2
                      distribution can be a good surrogate of dose distribution
                      when the minibeam effect could be observed.},
      keywords     = {diffusion model (Other) / hydrogen peroxide (Other) /
                      minibeam radiation therapy (Other) / spatial fractionation
                      (Other)},
      cin          = {E041},
      ddc          = {610},
      cid          = {I:(DE-He78)E041-20160331},
      pnm          = {315 - Bildgebung und Radioonkologie (POF4-315)},
      pid          = {G:(DE-HGF)POF4-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:37345373},
      doi          = {DOI: 10.1002/mp.16570},
      url          = {https://inrepo02.dkfz.de/record/277004},
}