Your browser doesn't support javascript.
loading
Associations between voxel-level accumulated dose and rectal toxicity in prostate radiotherapy.
Shelley, Leila E A; Sutcliffe, Michael P F; Thomas, Simon J; Noble, David J; Romanchikova, Marina; Harrison, Karl; Bates, Amy M; Burnet, Neil G; Jena, Raj.
Affiliation
  • Shelley LEA; Cancer Research UK VoxTox Research Group, Cambridge University Hospitals NHS Foundation Trust, Department of Oncology, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom.
  • Sutcliffe MPF; Edinburgh Cancer Centre, Western General Hospital, Edinburgh EH4 2XU, United Kingdom.
  • Thomas SJ; Department of Engineering, University of Cambridge, Trumpington St, Cambridge CB21PZ, United Kingdom.
  • Noble DJ; Cancer Research UK VoxTox Research Group, Cambridge University Hospitals NHS Foundation Trust, Department of Oncology, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom.
  • Romanchikova M; Department of Engineering, University of Cambridge, Trumpington St, Cambridge CB21PZ, United Kingdom.
  • Harrison K; Cancer Research UK VoxTox Research Group, Cambridge University Hospitals NHS Foundation Trust, Department of Oncology, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom.
  • Bates AM; Department of Medical Physics and Clinical Engineering, Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom.
  • Burnet NG; Cancer Research UK VoxTox Research Group, Cambridge University Hospitals NHS Foundation Trust, Department of Oncology, Addenbrooke's Hospital, Cambridge CB2 0QQ, United Kingdom.
  • Jena R; Department of Oncology, University of Cambridge, Cambridge Biomedical Campus, Addenbrooke's Hospital, Hills Road, Cambridge CB2 0QQ, United Kingdom.
Phys Imaging Radiat Oncol ; 14: 87-94, 2020 Apr.
Article de En | MEDLINE | ID: mdl-32582869
BACKGROUND AND PURPOSE: Associations between dose and rectal toxicity in prostate radiotherapy are generally poorly understood. Evaluating spatial dose distributions to the rectal wall (RW) may lead to improvements in dose-toxicity modelling by incorporating geometric information, masked by dose-volume histograms. Furthermore, predictive power may be strengthened by incorporating the effects of interfraction motion into delivered dose calculations.Here we interrogate 3D dose distributions for patients with and without toxicity to identify rectal subregions at risk (SRR), and compare the discriminatory ability of planned and delivered dose. MATERIAL AND METHODS: Daily delivered dose to the rectum was calculated using image guidance scans, and accumulated at the voxel level using biomechanical finite element modelling. SRRs were statistically determined for rectal bleeding, proctitis, faecal incontinence and stool frequency from a training set (n = 139), and tested on a validation set (n = 47). RESULTS: SRR patterns differed per endpoint. Analysing dose to SRRs improved discriminative ability with respect to the full RW for three of four endpoints. Training set AUC and OR analysis produced stronger toxicity associations from accumulated dose than planned dose. For rectal bleeding in particular, accumulated dose to the SRR (AUC 0.76) improved upon dose-toxicity associations derived from planned dose to the RW (AUC 0.63). However, validation results could not be considered significant. CONCLUSIONS: Voxel-level analysis of dose to the RW revealed SRRs associated with rectal toxicity, suggesting non-homogeneous intra-organ radiosensitivity. Incorporating spatial features of accumulated delivered dose improved dose-toxicity associations. This may be an important tool for adaptive radiotherapy in the future.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Phys Imaging Radiat Oncol Année: 2020 Type de document: Article Pays d'affiliation: Royaume-Uni Pays de publication: Pays-Bas

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Phys Imaging Radiat Oncol Année: 2020 Type de document: Article Pays d'affiliation: Royaume-Uni Pays de publication: Pays-Bas