% 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{Puri:303033,
      author       = {T. Puri and T. Rancati and P. Seibold$^*$ and A. Webb and
                      E. V. Osorio and A. Green and E. Gioscio and D. Azria and
                      M.-P. Farcy-Jacquet and J. Chang-Claude$^*$ and A. Dunning
                      and M. Lambrecht and B. Avuzzi and D. de Ruysscher and E.
                      Sperk and A. Vega and L. Veldeman and B. Rosenstein and J.
                      Shortall and S. Kerns and C. Talbot and A. P. Morris and A.
                      McWilliam and P. Hoskin and A. Choudhury and C. West and M.
                      van Herk},
      collaboration = {R. Consortium},
      title        = {{D}ose-response mapping of bladder and rectum in prostate
                      cancer patients undergoing radiotherapy with and without
                      baseline toxicity correction.},
      journal      = {Physics $\&$ Imaging in Radiation Oncology},
      volume       = {35},
      issn         = {2405-6316},
      address      = {Amsterdam [u. a.]},
      publisher    = {Elsevier Science},
      reportid     = {DKFZ-2025-01480},
      pages        = {100805},
      year         = {2025},
      abstract     = {Radiotherapy dose-response maps (DRM) combine dose-surface
                      maps (DSM) and toxicity outcomes to identify high-risk
                      subregions in organ-at-risk. This study assesses the impact
                      of baseline toxicity correction on the identification of
                      high-risk subregions in dose-response modeling for prostate
                      cancer patients undergoing radiotherapy.The analysis
                      included 1808 datasets, with 589 exclusions before
                      toxicity-specific data removal. Bladder/rectum were
                      automatically segmented on planning computed tomography
                      scans, DSMs unwrapped into 91x90 voxel grids, and converted
                      to equivalent doses in 2 Gy fractions (EQD2; α/β = 1 Gy).
                      Seventeen late toxicities were assessed with two methods:
                      (i) baseline toxicity subtracted from the maximum of 12- and
                      24-months toxicity scores, dichotomized at grade 1, and (ii)
                      maximum of 12- and 24-months toxicity scores dichotomized at
                      grade 1. DSMs were split accordingly, and voxel-wise
                      t-values computed using Welch's t-equation. Statistically
                      significant voxels were identified via the 95th percentile
                      of maximum of t-value (Tmax) distribution.Event counts with
                      baseline correction were 82/82/286/226 for urinary tract
                      obstruction/retention/urgency/incontinence, respectively;
                      without baseline correction, they were 93/104/465/361. For
                      bladder DSMs, urinary incontinence, obstruction, retention,
                      and urgency had 1143/186, 1768/1848, 516/0, and 33/0
                      significant voxels without/with baseline correction. For
                      rectum DSMs, urinary incontinence and tract obstruction had
                      604/0 and 1980/889 significant voxels without/with baseline
                      correction. However, no significant associations between
                      rectal DSMs and rectum-related toxicities were found.DRM
                      without baseline correction appears more sensitive to
                      high-risk subregions due to higher event counts. Non-linear
                      toxicity grading and multivariable analysis may enhance DRM
                      reliability.},
      keywords     = {Dose-toxicity modeling (Other) / IBDM (Other) /
                      Organ-at-risk (Other) / Prostate cancer (Other) /
                      Radiotherapy (Other) / VBA (Other)},
      cin          = {C020},
      ddc          = {610},
      cid          = {I:(DE-He78)C020-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40687306},
      pmc          = {pmc:PMC12272478},
      doi          = {10.1016/j.phro.2025.100805},
      url          = {https://inrepo02.dkfz.de/record/303033},
}