Optimization and Comparison of Normal Tissue Complication Probability Models in Radiotherapy

Jian Zhu (1, 2, 3) , Antoine Simon (4) , Oscar Acosta (4) , Gael Dréan (4) , Guillaume Cazoulat (4) , Caroline Lafond (4) , Khémara Gnep (5) , Huazhong Shu (2, 6) , Limin Luo (2, 6) , Elisabeth Le Prise (5) , Pascal Haigron (4) , Renaud de Crevoisier (4)

1 LTSI - Laboratoire Traitement du Signal et de l'Image
2 LIST - Laboratory of Image Science and Technology [Nanjing]
3 Department of Radiation Physics
4 LTSI - Laboratoire Traitement du Signal et de l'Image
5 Service de radiothérapie
6 CRIBS - Centre de Recherche en Information Biomédicale sino-français

In the context of cancer radiotherapy, toxicity prediction is of the major importance to evaluate and compare dose plans. Normal tissue complication probability (NTCP) models are the major methods to predict and prevent the presentation of toxicities, but they have to be optimized and their predictive capacities have to be evaluated. In this investigation, the six main NTCP models were studied and their parameters were fitted on prostate cancer. The results argue that rectum toxicity within 2 years shows some characteristics of a serial organ (n=0.35). Poisson EUD and Logit EUD models have the better predictive abilities and their use in clinical routine should be studied in further works.

Mots clés: Normal tissue complication probability (NTCP); prostate cancer; rectum toxicity; radiotherapy

Domaines: Ingénierie biomédicale; Cardiologie et système cardiovasculaire

Jian Zhu, Antoine Simon, Oscar Acosta, Gael Dréan, Guillaume Cazoulat, et al.. Optimization and Comparison of Normal Tissue Complication Probability Models in Radiotherapy. RITS 2011 (Colloque National Recherche en Imagerie et Technologies pour la Santé), Apr 2011, Rennes, France. pp.310.1-310.3. ⟨hal-00908981⟩