% 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{Han:286649,
      author       = {Y. Han and C. Geng and S. Altieri and S. Bortolussi and Y.
                      Liu and N. Wahl$^*$ and X. Tang},
      title        = {{C}ombined {BNCT}-{CIRT} treatment planning for
                      glioblastoma using the effect-based optimization.},
      journal      = {Physics in medicine and biology},
      volume       = {69},
      number       = {1},
      issn         = {0031-9155},
      address      = {Bristol},
      publisher    = {IOP Publ.},
      reportid     = {DKFZ-2024-00017},
      pages        = {015024},
      year         = {2024},
      abstract     = {Objective. Boron neutron capture therapy (BNCT) and carbon
                      ion radiotherapy (CIRT) are emerging treatment modalities
                      for glioblastoma. In this study, we investigated the
                      methodology and feasibility to combine BNCT and CIRT
                      treatments. The combined treatment plan illustrated how the
                      synergistic utilization of BNCT's biological targeting and
                      CIRT's intensity modulation capabilities could lead to
                      optimized treatment outcomes.Approach. The Monte Carlo
                      toolkit, TOPAS, was employed to calculate the dose
                      distribution for BNCT, while matRad was utilized for the
                      optimization of CIRT. The biological effect-based approach,
                      instead of the dose-based approach, was adopted to develop
                      the combined BNCT-CIRT treatment plans for six patients
                      diagnosed with glioblastoma, considering the different
                      radiosensitivity and fraction. Five optional combined
                      treatment plans with specific BNCT effect proportions for
                      each patient were evaluated to identify the optimal
                      treatment that minimizes damage on normal tissue.Main
                      results. Individual BNCT exhibits a significant effect
                      gradient along with the beam direction in the large tumor,
                      while combined BNCT-CIRT treatments can achieve uniform
                      effect delivery within the clinical target volume (CTV)
                      through the effect filling with reversed gradient by the
                      CIRT part. In addition, the increasing BNCT effect
                      proportion in combined treatments can reduce damage in the
                      normal brain tissue near the CTV. Besides, the combined
                      treatments effectively minimize damage to the skin compared
                      to individual BNCT treatments.Significance. The initial
                      endeavor to combine BNCT and CIRT treatment plans is
                      achieved by the effect-based optimization. The observed
                      advantages of the combined treatment suggest its potential
                      applicability for tumors characterized by pleomorphic,
                      infiltrative, radioresistant and voluminous features.},
      keywords     = {Humans / Glioblastoma: radiotherapy / Boron Neutron Capture
                      Therapy: methods / Brain / Radiotherapy Dosage / Heavy Ion
                      Radiotherapy / boron neutron capture therapy (Other) /
                      carbon ion radiotherapy (Other) / combined treatment (Other)
                      / effect-based optimization (Other) / glioblastoma (Other)},
      cin          = {E040},
      ddc          = {530},
      cid          = {I:(DE-He78)E040-20160331},
      pnm          = {315 - Bildgebung und Radioonkologie (POF4-315)},
      pid          = {G:(DE-HGF)POF4-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:38048635},
      doi          = {10.1088/1361-6560/ad120f},
      url          = {https://inrepo02.dkfz.de/record/286649},
}