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Beyond geometrical overlap: a Dosimetrical Evaluation of automated volumes Adaptation (DEA) in head and neck replanning.
- Source :
-
Technical innovations & patient support in radiation oncology [Tech Innov Patient Support Radiat Oncol] 2017 Jul 21; Vol. 3-4, pp. 1-6. Date of Electronic Publication: 2017 Jul 21 (Print Publication: 2017). - Publication Year :
- 2017
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Abstract
- Introduction: Automated target volumes adaptation could be useful in H&N replanning, but its dosimetric impact has not been analyzed.Primary aim of this investigation is dose coverage assessment in fully automated and edited PTV adaptation settings, compared to manual benchmark.<br />Materials and Methods: Ten IMRT patients were selected and replanning CTs were acquired.A deformable registration with PTV adaptation was performed defining PTVA.PTV B was obtained through manual editing and a benchmark PTV C was manually segmented by a delineation team.The Dice Similarity Index (DSI) and the mean Hausdorff Distance (mHD) were calculated between PTV A and PTV C, and between PTV B and PTV C.One IMRT plan was realized for each PTV: the plans optimized on PTV A and PTV B were proposed on PTV C to evaluate their dosimetric reliability compared to the benchmark plan in terms of PTV V95% dose coverage.<br />Results: The comparisons between PTV A with PTV C and PTV B with PTV C showed that the better DSI (high) and mHD values (low) are, the smaller difference when compared to PTV C V95% is described.Evaluating plan A and B, PTV C V95% reduced by 6.1 ± 3.0% and by 4.1 ± 2.3% respectively when compared to plan C PTV C V95%.PTV B reaches acceptable dose coverage values (PTV V95% >95%) when DSI is >0.91 and a mHD < 0.17 mm and it has better results when compared to PTV A in 70%.<br />Discussion: The results show a correlation between the DSI-mHD and the PTV V95% variation, in the comparisons PTV A and PTV B vs PTV C.Furthermore, we observed that PTV V95% coverage is higher in PTV B than in PTV A: the use of automated propagation may not be definitive and requires manual correction.<br /> (© 2017 The Authors. Published by Elsevier Ireland Ltd on behalf of European Society for Radiotherapy & Oncology.)
Details
- Language :
- English
- ISSN :
- 2405-6324
- Volume :
- 3-4
- Database :
- MEDLINE
- Journal :
- Technical innovations & patient support in radiation oncology
- Publication Type :
- Academic Journal
- Accession number :
- 32095559
- Full Text :
- https://doi.org/10.1016/j.tipsro.2017.06.002