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Evaluation of three presets for four-dimensional cone beam CT in lung radiotherapy verification by visual grading analysis
OBJECTIVE: 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. METHODS: Nine patients undergoing radical conventionally fractionated radiotherapy for lung cancer h...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The British Institute of Radiology.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5257304/ https://www.ncbi.nlm.nih.gov/pubmed/27109735 http://dx.doi.org/10.1259/bjr.20150933 |
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author | Kember, Sally A Hansen, Vibeke N Fast, Martin F Nill, Simeon McDonald, Fiona Ahmed, Merina Thomas, Karen McNair, Helen A |
author_facet | Kember, Sally A Hansen, Vibeke N Fast, Martin F Nill, Simeon McDonald, Fiona Ahmed, Merina Thomas, Karen McNair, Helen A |
author_sort | Kember, Sally A |
collection | PubMed |
description | OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSION: The application of VGA in this initial study enabled a provisional selection of an optimal preset (Preset 2) to be made. ADVANCES IN KNOWLEDGE: This was the first application of VGA to the investigation of presets for CBCT. |
format | Online Article Text |
id | pubmed-5257304 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | The British Institute of Radiology. |
record_format | MEDLINE/PubMed |
spelling | pubmed-52573042017-01-25 Evaluation of three presets for four-dimensional cone beam CT in lung radiotherapy verification by visual grading analysis Kember, Sally A Hansen, Vibeke N Fast, Martin F Nill, Simeon McDonald, Fiona Ahmed, Merina Thomas, Karen McNair, Helen A Br J Radiol Full Paper OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSION: The application of VGA in this initial study enabled a provisional selection of an optimal preset (Preset 2) to be made. ADVANCES IN KNOWLEDGE: This was the first application of VGA to the investigation of presets for CBCT. The British Institute of Radiology. 2016-07 2016-05-10 /pmc/articles/PMC5257304/ /pubmed/27109735 http://dx.doi.org/10.1259/bjr.20150933 Text en © 2016 The Authors. Published by the British Institute of Radiology This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 Unported License http://creativecommons.org/licenses/by-nc/4.0/, which permits unrestricted non-commercial reuse, provided the original author and source are credited. |
spellingShingle | Full Paper Kember, Sally A Hansen, Vibeke N Fast, Martin F Nill, Simeon McDonald, Fiona Ahmed, Merina Thomas, Karen McNair, Helen A Evaluation of three presets for four-dimensional cone beam CT in lung radiotherapy verification by visual grading analysis |
title | Evaluation of three presets for four-dimensional cone beam CT in lung radiotherapy verification by visual grading analysis |
title_full | Evaluation of three presets for four-dimensional cone beam CT in lung radiotherapy verification by visual grading analysis |
title_fullStr | Evaluation of three presets for four-dimensional cone beam CT in lung radiotherapy verification by visual grading analysis |
title_full_unstemmed | Evaluation of three presets for four-dimensional cone beam CT in lung radiotherapy verification by visual grading analysis |
title_short | Evaluation of three presets for four-dimensional cone beam CT in lung radiotherapy verification by visual grading analysis |
title_sort | evaluation of three presets for four-dimensional cone beam ct in lung radiotherapy verification by visual grading analysis |
topic | Full Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5257304/ https://www.ncbi.nlm.nih.gov/pubmed/27109735 http://dx.doi.org/10.1259/bjr.20150933 |
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