Literature DB >> 34463949

A novel TPS toolkit to assess correlation between transit fluence dosimetry and DVH metrics for adaptive head and neck radiotherapy.

George Antoniou1,2, Scott N Penfold3,4,5.   

Abstract

Inter-fractional anatomical variations in head and neck (H&N) cancer patients can lead to clinically significant dosimetric changes. Adaptive re-planning should thus commence to negate any potential over-dosage to organs-at-risk (OAR), as well as potential under-dosage to target lesions. The aim of this study is to explore the correlation between transit fluence, as measured at an electronic portal imaging device (EPID), and dose volume histogram (DVH) metrics to target and OAR structures in a simulated environment. Planning data of eight patients that have previously undergone adaptive radiotherapy for H&N cancer using volumetric modulated arc therapy (VMAT) at the Royal Adelaide Hospital were selected for this study. Through delivering the original treatment plan to both the planning and rescan CTs of these eight patients, predicted electronic portal images (EPIs) and DVH metrics corresponding to each data set were extracted using a novel RayStation script. A weighted projection mask was developed for target and OAR structures through considering the intra-angle overlap between fluence and structure contours projected onto the EPIs. The correlation between change in transit fluence and planning target volume (PTV) D98 and spinal cord D0.03cc with and without the weighting mask applied was investigated. PTV D98 was strongly correlated with mean fluence percentage difference both with and without the weighting mask applied (RMask = 0.69, RNo Mask = 0.79, N = 14, p < 0.05), where spinal cord D0.03cc exhibited a weak correlation (RMask = 0.35, RNo Mask = 0.53, N = 7, p > 0.05) however this result was not statistically significant. The simulation toolkit developed in this work provided a useful means to investigate the relationship between change in transit fluence and change in key dosimetric parameters for H&N cancer patients.
© 2021. Crown.

Entities:  

Keywords:  Adaptive radiotherapy; RayStation scripting; Transit dosimetry; Volumetric modulated arc therapy (VMAT)

Mesh:

Year:  2021        PMID: 34463949     DOI: 10.1007/s13246-021-01048-5

Source DB:  PubMed          Journal:  Phys Eng Sci Med        ISSN: 2662-4729


  7 in total

Review 1.  A literature review of electronic portal imaging for radiotherapy dosimetry.

Authors:  Wouter van Elmpt; Leah McDermott; Sebastiaan Nijsten; Markus Wendling; Philippe Lambin; Ben Mijnheer
Journal:  Radiother Oncol       Date:  2008-08-14       Impact factor: 6.280

Review 2.  Identifying patients who may benefit from adaptive radiotherapy: Does the literature on anatomic and dosimetric changes in head and neck organs at risk during radiotherapy provide information to help?

Authors:  Charlotte L Brouwer; Roel J H M Steenbakkers; Johannes A Langendijk; Nanna M Sijtsema
Journal:  Radiother Oncol       Date:  2015-06-17       Impact factor: 6.280

3.  Initial clinical experience with Epid-based in-vivo dosimetry for VMAT treatments of head-and-neck tumors.

Authors:  Savino Cilla; Daniela Meluccio; Andrea Fidanzio; Luigi Azario; Anna Ianiro; Gabriella Macchia; Cinzia Digesù; Francesco Deodato; Vincenzo Valentini; Alessio G Morganti; Angelo Piermattei
Journal:  Phys Med       Date:  2015-10-26       Impact factor: 2.685

4.  Is there a clinical benefit to adaptive planning during tomotherapy in patients with head and neck cancer at risk for xerostomia?

Authors:  Sei Hwan You; Song Yi Kim; Chang Geol Lee; Ki Chang Keum; Joo Ho Kim; Ik Jae Lee; Yong Bae Kim; Woong Sub Koom; Jaeho Cho; Soo Kon Kim; Gwi Eon Kim
Journal:  Am J Clin Oncol       Date:  2012-06       Impact factor: 2.339

5.  Impact of head and neck cancer adaptive radiotherapy to spare the parotid glands and decrease the risk of xerostomia.

Authors:  Joel Castelli; Antoine Simon; Guillaume Louvel; Olivier Henry; Enrique Chajon; Mohamed Nassef; Pascal Haigron; Guillaume Cazoulat; Juan David Ospina; Franck Jegoux; Karen Benezery; Renaud de Crevoisier
Journal:  Radiat Oncol       Date:  2015-01-09       Impact factor: 3.481

6.  Investigation of a Novel Decision Support Metric for Head and Neck Adaptive Radiation Therapy Using a Real-Time In Vivo Portal Dosimetry System.

Authors:  S B Lim; C J Tsai; Y Yu; P Greer; T Fuangrod; K Hwang; S Fontenla; F Coffman; N Lee; D M Lovelock
Journal:  Technol Cancer Res Treat       Date:  2019-01-01

7.  Adaptive radiotherapy for head and neck cancer reduces the requirement for rescans during treatment due to spinal cord dose.

Authors:  Louise Belshaw; Christina E Agnew; Denise M Irvine; Keith P Rooney; Conor K McGarry
Journal:  Radiat Oncol       Date:  2019-11-01       Impact factor: 3.481

  7 in total

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