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Evaluation of three presets for four-dimensional cone beam CT in lung radiotherapy verification by visual grading analysis.

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Publication Date
2016-07
ICR Author
Ahmed, Merina
Nill, Simeon
McNair, Helen
Author
Kember, SA
Hansen, VN
Fast, MF
Nill, S
McDonald, F
Ahmed, M
Thomas, K
McNair, HA
Type
Journal Article
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Abstract
<h4>Objective</h4>To evaluate three image acquisition presets for four-dimensional cone beam CT (CBCT) to identify an optimal preset for lung tumour image quality while minimizing dose and acquisition time.<h4>Methods</h4>Nine patients undergoing radical conventionally fractionated radiotherapy for lung cancer had verification CBCTs acquired using three presets: Preset 1 on Day 1 (11 mGy dose, 240 s acquisition time), Preset 2 on Day 2 (9 mGy dose, 133 s acquisition time) and Preset 3 on Day 3 (9 mGy dose, 67 s acquisition time). The clarity of the tumour and other thoracic structures, and the acceptability of the match, were retrospectively graded by visual grading analysis (VGA). Logistic regression was used to identify the most appropriate preset and any factors that might influence the result.<h4>Results</h4>Presets 1 and 2 met a clinical requirement of 75% of structures to be rated "Clear" or above and 75% of matches to be rated "Acceptable" or above. Clarity is significantly affected by preset, patient, observer and structure. Match acceptability is significantly affected by preset.<h4>Conclusion</h4>The application of VGA in this initial study enabled a provisional selection of an optimal preset (Preset 2) to be made.<h4>Advances in knowledge</h4>This was the first application of VGA to the investigation of presets for CBCT.
URL
https://repository.icr.ac.uk/handle/internal/84
Open access location
http://dx.doi.org/10.1259/bjr.20150933
Collections
  • Radiotherapy and Imaging
Licenseref URL
https://creativecommons.org/licenses/by-nc/4.0
Version of record
10.1259/bjr.20150933
Subject
Lung
Humans
Lung Neoplasms
Radiotherapy Dosage
Radiotherapy Planning, Computer-Assisted
Reproducibility of Results
Cone-Beam Computed Tomography
Four-Dimensional Computed Tomography
Research team
Lung Radiotherapy
Radiotherapy Physics Modelling
Language
eng
Date accepted
2016-04-20
License start date
2016-07
Citation
The British journal of radiology, 2016, 89 (1063), pp. 20150933 - ?

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