Radiothérapie prostatique: Prédiction de la toxicité tardive à partir des données dosimétriques

Translated title of the contribution: Dosimetric factors predictive of late toxicity in prostate cancer radiotherapy

R. de Crevoisier, C. Fiorino, B. Dubray

Research output: Contribution to journalArticlepeer-review

Abstract

Dose escalation in prostate cancer is made possible due to technological advances and to precise dose-volume constraints to limit normal tissue damage. This article is a literature review focusing on the correlations between exposure (doses and volumes) of organs at risk (OAR) and rectal, urinary, sexual and bone toxicity, as well as on mathematical models aiming at toxicity prediction. Dose-volume constraint recommendations are presented that have been shown to be associated with reduced rectal damage. Indeed, the clinical data is relatively strong for late rectal toxicity (bleeding), with constraints put on both the volume of the rectum receiving high doses (≥70 Gy) and the volume receiving intermediate doses (40 to 60 Gy). Predictive models of rectal toxicity (Normal Tissue Complication Probability) appear to accurately estimate toxicity risks. The correlations are much weaker for the bulb and the femoral heads, and nearly do not exist for the bladder. Further prospective studies are required, ideally taking into account patient-related risk factors (co-morbidities and their specific treatments), assays of normal tissue hypersensitivity to ionizing radiation and mathematical models applied on 3D images acquired under the treatment machine (e.g. Cone Beam CT).

Translated title of the contributionDosimetric factors predictive of late toxicity in prostate cancer radiotherapy
Original languageFrench
Pages (from-to)460-468
Number of pages9
JournalCancer/Radiotherapie
Volume14
Issue number6-7
DOIs
Publication statusPublished - Oct 2010

Keywords

  • Modelling
  • Normal tissue complications
  • Prostate
  • Radiotherapy

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Medicine(all)

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