%0 Journal Article
%A Puri, Tanuj
%A Rancati, Tiziana
%A Seibold, Petra
%A Webb, Adam
%A Osorio, Eliana Vasquez
%A Green, Andrew
%A Gioscio, Eliana
%A Azria, David
%A Farcy-Jacquet, Marie-Pierre
%A Chang-Claude, Jenny
%A Dunning, Alison
%A Lambrecht, Maarten
%A Avuzzi, Barbara
%A de Ruysscher, Dirk
%A Sperk, Elena
%A Vega, Ana
%A Veldeman, Liv
%A Rosenstein, Barry
%A Shortall, Jane
%A Kerns, Sarah
%A Talbot, Christopher
%A Morris, Andrew P
%A McWilliam, Alan
%A Hoskin, Peter
%A Choudhury, Ananya
%A West, Catharine
%A van Herk, Marcel
%T Dose-response mapping of bladder and rectum in prostate cancer patients undergoing radiotherapy with and without baseline toxicity correction.
%J Physics & Imaging in Radiation Oncology
%V 35
%@ 2405-6316
%C Amsterdam [u. a.]
%I Elsevier Science
%M DKFZ-2025-01480
%P 100805
%D 2025
%X 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.
%K Dose-toxicity modeling (Other)
%K IBDM (Other)
%K Organ-at-risk (Other)
%K Prostate cancer (Other)
%K Radiotherapy (Other)
%K VBA (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:40687306
%2 pmc:PMC12272478
%R 10.1016/j.phro.2025.100805
%U https://inrepo02.dkfz.de/record/303033