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Quantitative evaluation of 4D Cone beam CT scans with reduced scan time in lung cancer patients

PURPOSE: Image guided radiotherapy (IGRT) based on respiration correlated cone-beam CT (4D-CBCT) provides accurate tumour localisation in lung cancer patients by taking into account respiratory motion when deriving setup correction. However, 4D-CBCT scan times are typically longer than for acquisiti...

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Autores principales: Bryce-Atkinson, Abigail, Marchant, Thomas, Rodgers, John, Budgell, Geoff, McWilliam, Alan, Faivre-Finn, Corinne, Whitfield, Gillian, van Herk, Marcel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Scientific Publishers 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598855/
https://www.ncbi.nlm.nih.gov/pubmed/31015131
http://dx.doi.org/10.1016/j.radonc.2019.03.027
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author Bryce-Atkinson, Abigail
Marchant, Thomas
Rodgers, John
Budgell, Geoff
McWilliam, Alan
Faivre-Finn, Corinne
Whitfield, Gillian
van Herk, Marcel
author_facet Bryce-Atkinson, Abigail
Marchant, Thomas
Rodgers, John
Budgell, Geoff
McWilliam, Alan
Faivre-Finn, Corinne
Whitfield, Gillian
van Herk, Marcel
author_sort Bryce-Atkinson, Abigail
collection PubMed
description PURPOSE: Image guided radiotherapy (IGRT) based on respiration correlated cone-beam CT (4D-CBCT) provides accurate tumour localisation in lung cancer patients by taking into account respiratory motion when deriving setup correction. However, 4D-CBCT scan times are typically longer than for acquisition of 3D-CBCT scans, e.g. 4 min. This work aims to quantitatively evaluate the effect of reduced scan times on 4D-CBCT image quality and registration accuracy in lung cancer patients. METHODS AND MATERIALS: Scan times down to 1 min were simulated by retaining only projection images corresponding to every second, third or fourth respiratory cycle in forty-four 4D-CBCTs from 15 lung cancer patients. In addition twenty 2-minute scans were acquired for 12 lung cancer patients. Image quality was quantified by assessing registration accuracy in the shorter scan times, comparing to the 4-minute scan registration result where available as reference. RESULTS: Use of 2-minute scans had little impact on registration accuracy or ability to detect tumour motion: automatic registration accuracy was within 2 mm in 6/8 scans analysed with 2-minute acquisitions, and 96.6% of registration discrepancies were within 2 mm for the simulated scans. When the scan time simulated was below 2 min, automatic registration results still agreed within 2 mm for 84.7% of scans, however visual image quality was considerably degraded. CONCLUSION: A 4D-CBCT acquisition time of 2 min produces scans of sufficient image quality for IGRT in most lung cancer patients, as demonstrated quantitatively by assessing the impact on automatic registration accuracy in simulated and real acquisitions.
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spelling pubmed-65988552019-07-11 Quantitative evaluation of 4D Cone beam CT scans with reduced scan time in lung cancer patients Bryce-Atkinson, Abigail Marchant, Thomas Rodgers, John Budgell, Geoff McWilliam, Alan Faivre-Finn, Corinne Whitfield, Gillian van Herk, Marcel Radiother Oncol Article PURPOSE: Image guided radiotherapy (IGRT) based on respiration correlated cone-beam CT (4D-CBCT) provides accurate tumour localisation in lung cancer patients by taking into account respiratory motion when deriving setup correction. However, 4D-CBCT scan times are typically longer than for acquisition of 3D-CBCT scans, e.g. 4 min. This work aims to quantitatively evaluate the effect of reduced scan times on 4D-CBCT image quality and registration accuracy in lung cancer patients. METHODS AND MATERIALS: Scan times down to 1 min were simulated by retaining only projection images corresponding to every second, third or fourth respiratory cycle in forty-four 4D-CBCTs from 15 lung cancer patients. In addition twenty 2-minute scans were acquired for 12 lung cancer patients. Image quality was quantified by assessing registration accuracy in the shorter scan times, comparing to the 4-minute scan registration result where available as reference. RESULTS: Use of 2-minute scans had little impact on registration accuracy or ability to detect tumour motion: automatic registration accuracy was within 2 mm in 6/8 scans analysed with 2-minute acquisitions, and 96.6% of registration discrepancies were within 2 mm for the simulated scans. When the scan time simulated was below 2 min, automatic registration results still agreed within 2 mm for 84.7% of scans, however visual image quality was considerably degraded. CONCLUSION: A 4D-CBCT acquisition time of 2 min produces scans of sufficient image quality for IGRT in most lung cancer patients, as demonstrated quantitatively by assessing the impact on automatic registration accuracy in simulated and real acquisitions. Elsevier Scientific Publishers 2019-07 /pmc/articles/PMC6598855/ /pubmed/31015131 http://dx.doi.org/10.1016/j.radonc.2019.03.027 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bryce-Atkinson, Abigail
Marchant, Thomas
Rodgers, John
Budgell, Geoff
McWilliam, Alan
Faivre-Finn, Corinne
Whitfield, Gillian
van Herk, Marcel
Quantitative evaluation of 4D Cone beam CT scans with reduced scan time in lung cancer patients
title Quantitative evaluation of 4D Cone beam CT scans with reduced scan time in lung cancer patients
title_full Quantitative evaluation of 4D Cone beam CT scans with reduced scan time in lung cancer patients
title_fullStr Quantitative evaluation of 4D Cone beam CT scans with reduced scan time in lung cancer patients
title_full_unstemmed Quantitative evaluation of 4D Cone beam CT scans with reduced scan time in lung cancer patients
title_short Quantitative evaluation of 4D Cone beam CT scans with reduced scan time in lung cancer patients
title_sort quantitative evaluation of 4d cone beam ct scans with reduced scan time in lung cancer patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598855/
https://www.ncbi.nlm.nih.gov/pubmed/31015131
http://dx.doi.org/10.1016/j.radonc.2019.03.027
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