Literature DB >> 27130730

A longitudinal evaluation of improvements in radiotherapy treatment plan quality for head and neck cancer patients.

Jim P Tol1, Patricia Doornaert2, Birgit I Witte3, Max Dahele2, Ben J Slotman2, Wilko F A R Verbakel2.   

Abstract

PURPOSE: To investigate changes in head-and-neck cancer (HNC) plan quality following the introduction of new technologies and planning techniques in the last decade. METHODS AND MATERIALS: Thirty plans were selected from each of four successive periods (P). P1: 7-field static intensity-modulated radiotherapy (IMRT) with parotid gland sparing; P2: dual-arc volumetric-modulated arc therapy (VMAT, similar to P3-P4), including submandibular gland sparing; P3: inclusion of individual swallowing muscles and attempts to further reduce parotid and oral cavity doses through manual interactive optimization; P4: containing the same organs-at-risk (OARs) as P3, but automatically interactively optimized. Plan benchmarking included mean salivary gland/swallowing muscle/oral cavity (Dsal/Dswal/Doc) doses. Differences in mean doses between the periods were analyzed by an ANCOVA, taking geometric differences across periods into account.
RESULTS: Compared to P1, P2 plans improved Dsal by 3.4Gy on average. P3 improved Dsal/Dswal/Doc by 6.9/11.5/7.2Gy over P2, showing that Dswal and Dsal could be improved simultaneously. In P4, Doc/Dswal slightly improved over P3 by 1.7/3.8Gy. Improved OAR sparing in P3/P4 did not come at the cost of increased dose deposition elsewhere and planning target volume (PTV) dose homogeneity was similar.
CONCLUSIONS: New technologies and planning techniques were successfully implemented into routine clinical care and resulting in improved HNC plan quality.
Copyright © 2016. Published by Elsevier Ireland Ltd.

Entities:  

Keywords:  Head-and-neck cancer; IMRT/VMAT; OAR sparing; Plan quality

Mesh:

Year:  2016        PMID: 27130730     DOI: 10.1016/j.radonc.2016.04.011

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  2 in total

1.  Automated Knowledge-Based Intensity-Modulated Proton Planning: An International Multicenter Benchmarking Study.

Authors:  Alexander R Delaney; Lei Dong; Anthony Mascia; Wei Zou; Yongbin Zhang; Lingshu Yin; Sara Rosas; Jan Hrbacek; Antony J Lomax; Ben J Slotman; Max Dahele; Wilko F A R Verbakel
Journal:  Cancers (Basel)       Date:  2018-11-02       Impact factor: 6.639

2.  A Model-Based Method for Assessment of Salivary Gland and Planning Target Volume Dosimetry in Volumetric-Modulated Arc Therapy Planning on Head-and-Neck Cancer.

Authors:  Honglai Zhang; Yijian Cao; Jeffrey Antone; Adam C Riegel; Maged Ghaly; Louis Potters; Abolghassem Jamshidi
Journal:  J Med Phys       Date:  2019 Jul-Sep
  2 in total

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