PO-0841: Feasibility of dose decrease in a rectal subregion predictive of bleeding in prostate radiotherapy

Lafond, C.; N'Guessan, J.; Dréan, Gwenola Le; Périchon, N.; Delaby, N.; Acosta, Oscar; Simon, Aaron B.; Crevoisier, R. de

doi:10.1016/s0167-8140(17)31278-1

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“…An additional benefit of using DVMs in particular, is the possibility of performing personalized treatment planning by back-propagating the identified Svol from the template to the patient's native space and adding specific constraints to each region. However, the applicability of these methods in the clinical routine is yet to be demonstrated for the bladder, as previously done for the rectum [28]. Whereby, sparing sub-regions in the treatment planning may reduce the risk of specific side effects.…”

Section: Discussionmentioning

confidence: 99%

Local dose analysis to predict acute and late urinary toxicities after prostate cancer radiotherapy: Assessment of cohort and method effects

Mylona¹,

Cicchetti²,

Rancati³

et al. 2020

Radiotherapy and Oncology

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To perform bladder dose-surface map (DSM) analysis for (1) identifying symptomrelated sub-surfaces (Ssurf) and evaluating their prediction capability of urinary toxicity, (2) comparing DSM with dose-volume map (DVM) (method effect), and (3) assessing the reproducibility of DSM (cohort effect).Methods and materials: Urinary toxicities were prospectively analyzed for 254 prostate cancer patients treated with IMRT/IGRT at 78/80Gy. DSMs were generated by unfolding bladder surfaces in a 2D plane. Pixel-by-pixel analysis was performed to identify symptom-related Ssurf. Likewise, DVM analysis was performed to identify sub-volumes (Svol). The prediction capability of Ssurf and Svol DVHs was assessed by logistic/Cox regression using the area under the ROC curve (AUC). The Ssurf localization and prediction capability were compared to (1) the Svol obtained by DVM analysis in the same cohort and (2) the Ssurf obtained from other DSM studies.Results: Three Ssurf were identified in the bladder: posterior for acute retention (AUC =0.64), posterior-superior for late retention (AUC =0.68), and inferior-anterior-lateral for late dysuria (AUC=0.73). Five Svol were identified: one in the urethra for acute incontinence and four in the posterior bladder part for acute and late retention, late dysuria, and hematuria. The overlap between Ssurf and Svol was moderate for acute retention, good for late retention, and bad for late dysuria, and AUCs ranged from 0.62 to 0.81. The prediction capabilities of Ssurf and Svol models were not significantly different. Among five symptoms comparable between cohorts, common Ssurf was found only for late dysuria, with a good spatial agreement. Conclusion:Spatial agreement between methods is relatively good although DVM identified more sub-regions. Reproducibility of identified Ssurf between cohorts is low.

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Section: Discussionmentioning

confidence: 99%