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000303033 041__ $$aEnglish
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000303033 1001_ $$aPuri, Tanuj$$b0
000303033 245__ $$aDose-response mapping of bladder and rectum in prostate cancer patients undergoing radiotherapy with and without baseline toxicity correction.
000303033 260__ $$aAmsterdam [u. a.]$$bElsevier Science$$c2025
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000303033 520__ $$aRadiotherapy 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.
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000303033 650_7 $$2Other$$aDose-toxicity modeling
000303033 650_7 $$2Other$$aIBDM
000303033 650_7 $$2Other$$aOrgan-at-risk
000303033 650_7 $$2Other$$aProstate cancer
000303033 650_7 $$2Other$$aRadiotherapy
000303033 650_7 $$2Other$$aVBA
000303033 7001_ $$aRancati, Tiziana$$b1
000303033 7001_ $$0P:(DE-He78)fd17a8dbf8d08ea5bb656dfef7398215$$aSeibold, Petra$$b2$$udkfz
000303033 7001_ $$aWebb, Adam$$b3
000303033 7001_ $$aOsorio, Eliana Vasquez$$b4
000303033 7001_ $$aGreen, Andrew$$b5
000303033 7001_ $$aGioscio, Eliana$$b6
000303033 7001_ $$aAzria, David$$b7
000303033 7001_ $$aFarcy-Jacquet, Marie-Pierre$$b8
000303033 7001_ $$0P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253$$aChang-Claude, Jenny$$b9
000303033 7001_ $$aDunning, Alison$$b10
000303033 7001_ $$aLambrecht, Maarten$$b11
000303033 7001_ $$aAvuzzi, Barbara$$b12
000303033 7001_ $$ade Ruysscher, Dirk$$b13
000303033 7001_ $$aSperk, Elena$$b14
000303033 7001_ $$aVega, Ana$$b15
000303033 7001_ $$aVeldeman, Liv$$b16
000303033 7001_ $$aRosenstein, Barry$$b17
000303033 7001_ $$aShortall, Jane$$b18
000303033 7001_ $$aKerns, Sarah$$b19
000303033 7001_ $$aTalbot, Christopher$$b20
000303033 7001_ $$aMorris, Andrew P$$b21
000303033 7001_ $$aMcWilliam, Alan$$b22
000303033 7001_ $$aHoskin, Peter$$b23
000303033 7001_ $$aChoudhury, Ananya$$b24
000303033 7001_ $$aWest, Catharine$$b25
000303033 7001_ $$avan Herk, Marcel$$b26
000303033 7001_ $$aConsortium, REQUITE$$b27$$eCollaboration Author
000303033 773__ $$0PERI:(DE-600)2963795-8$$a10.1016/j.phro.2025.100805$$gVol. 35, p. 100805 -$$p100805$$tPhysics & Imaging in Radiation Oncology$$v35$$x2405-6316$$y2025
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