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259416

Adaptive MV portal imaging for head and neck cancer, a model for countries with limited resources

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Last updated: 22 Jan 2023

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Abstract

Background: Setup error had a considerable effect on treatment-related
uncertainty in head and neck cancer. Through this study, we examine adaptive
setup verification protocol using MV portal imaging in these patients.
Methods: A prospective phase 2 trial was conducted on 55 patients with
advanced head and neck cancer from 2018 till 2021. Patients received intensitymodulated radiotherapy using Varian© RapidArc. Online verification was done,
and setup error data were used to direct the frequencies of verification events.
One-year local failure representing geometrical miss and overall local control
were calculated. Patients' setup accuracy data were collected, analysed and used
for calculation of the overall mean displacement (M), the population systematic
(∑), random (σ) errors and the van Herk formula (2.5 ∑ + 0.7 σ) for PTV
margin estimation. Local control where explored based on the frequency of
setup events.
Results: A total of 55 patients between 2018 and 2020, with 678 setup events
and 1356 Portal Vision verifications, were included in this study. Half of the
patients experienced reduced frequency of setup verifications, while 25.4%
required increased setup frequency. The 12-month RT field border failure rate
was 3.6%. The 12-month control rate of all patients was 74.5%; it was 69.2%,
76%, 76.9% for patients with increased, reduced and non-changed setup
frequency. The PTV margins were 3.5, 4.6, and 3.8 mm for vertical, lateral, and
longitudinal axes, respectively.
Conclusion: Despite the lack of CBCT imaging, adaptive megavoltage
PortalVision™ verification was effective in evaluation setup accuracy in head
and neck cancer patients.

Keywords

Set up verification, KV portal vision head and neck cancer, set up error, head and neck cancer

Volume

10

Article Issue

3

Related Issue

35731

Issue Date

2022-07-01

Receive Date

2022-06-16

Publish Date

2022-06-21

Page Start

185

Page End

190

Print ISSN

2537-0995

Online ISSN

2314-8500

Link

https://secioj.journals.ekb.eg/article_259416.html

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https://secioj.journals.ekb.eg/service?article_code=259416

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259,416

Publication Type

Journal

Publication Title

SECI Oncology Journal

Publication Link

https://secioj.journals.ekb.eg/

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Article

Created At

22 Jan 2023