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Audiovisual biofeedback guided breath-hold improves lung tumor position reproducibility and volume consistency

PURPOSE: Respiratory variation can increase the variability of tumor position and volume, accounting for larger treatment margins and longer treatment times. Audiovisual biofeedback as a breath-hold technique could be used to improve the reproducibility of lung tumor positions at inhalation and exha...

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Autores principales: Lee, Danny, Greer, Peter B., Lapuz, Carminia, Ludbrook, Joanna, Hunter, Perry, Arm, Jameen, Pollock, Sean, Makhija, Kuldeep, O'Brien, Ricky T., Kim, Taeho, Keall, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5605281/
https://www.ncbi.nlm.nih.gov/pubmed/29114603
http://dx.doi.org/10.1016/j.adro.2017.03.002
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author Lee, Danny
Greer, Peter B.
Lapuz, Carminia
Ludbrook, Joanna
Hunter, Perry
Arm, Jameen
Pollock, Sean
Makhija, Kuldeep
O'Brien, Ricky T.
Kim, Taeho
Keall, Paul
author_facet Lee, Danny
Greer, Peter B.
Lapuz, Carminia
Ludbrook, Joanna
Hunter, Perry
Arm, Jameen
Pollock, Sean
Makhija, Kuldeep
O'Brien, Ricky T.
Kim, Taeho
Keall, Paul
author_sort Lee, Danny
collection PubMed
description PURPOSE: Respiratory variation can increase the variability of tumor position and volume, accounting for larger treatment margins and longer treatment times. Audiovisual biofeedback as a breath-hold technique could be used to improve the reproducibility of lung tumor positions at inhalation and exhalation for the radiation therapy of mobile lung tumors. This study aimed to assess the impact of audiovisual biofeedback breath-hold (AVBH) on interfraction lung tumor position reproducibility and volume consistency for respiratory-gated lung cancer radiation therapy. METHODS: Lung tumor position and volume were investigated in 9 patients with lung cancer who underwent a breath-hold training session with AVBH before 2 magnetic resonance imaging (MRI) sessions. During the first MRI session (before treatment), inhalation and exhalation breath-hold 3-dimensional MRI scans with conventional breath-hold (CBH) using audio instructions alone and AVBH were acquired. The second MRI session (midtreatment) was repeated within 6 weeks after the first session. Gross tumor volumes (GTVs) were contoured on each dataset. CBH and AVBH were compared in terms of tumor position reproducibility as assessed by GTV centroid position and position range (defined as the distance of GTV centroid position between inhalation and exhalation) and tumor volume consistency as assessed by GTV between inhalation and exhalation. RESULTS: Compared with CBH, AVBH improved the reproducibility of interfraction GTV centroid position by 46% (P = .009) from 8.8 mm to 4.8 mm and GTV position range by 69% (P = .052) from 7.4 mm to 2.3 mm. Compared with CBH, AVBH also improved the consistency of intrafraction GTVs by 70% (P = .023) from 7.8 cm(3) to 2.5 cm(3). CONCLUSIONS: This study demonstrated that audiovisual biofeedback can be used to improve the reproducibility and consistency of breath-hold lung tumor position and volume, respectively. These results may provide a pathway to achieve more accurate lung cancer radiation treatment in addition to improving various medical imaging and treatments by using breath-hold procedures.
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spelling pubmed-56052812017-11-07 Audiovisual biofeedback guided breath-hold improves lung tumor position reproducibility and volume consistency Lee, Danny Greer, Peter B. Lapuz, Carminia Ludbrook, Joanna Hunter, Perry Arm, Jameen Pollock, Sean Makhija, Kuldeep O'Brien, Ricky T. Kim, Taeho Keall, Paul Adv Radiat Oncol Scientific Article PURPOSE: Respiratory variation can increase the variability of tumor position and volume, accounting for larger treatment margins and longer treatment times. Audiovisual biofeedback as a breath-hold technique could be used to improve the reproducibility of lung tumor positions at inhalation and exhalation for the radiation therapy of mobile lung tumors. This study aimed to assess the impact of audiovisual biofeedback breath-hold (AVBH) on interfraction lung tumor position reproducibility and volume consistency for respiratory-gated lung cancer radiation therapy. METHODS: Lung tumor position and volume were investigated in 9 patients with lung cancer who underwent a breath-hold training session with AVBH before 2 magnetic resonance imaging (MRI) sessions. During the first MRI session (before treatment), inhalation and exhalation breath-hold 3-dimensional MRI scans with conventional breath-hold (CBH) using audio instructions alone and AVBH were acquired. The second MRI session (midtreatment) was repeated within 6 weeks after the first session. Gross tumor volumes (GTVs) were contoured on each dataset. CBH and AVBH were compared in terms of tumor position reproducibility as assessed by GTV centroid position and position range (defined as the distance of GTV centroid position between inhalation and exhalation) and tumor volume consistency as assessed by GTV between inhalation and exhalation. RESULTS: Compared with CBH, AVBH improved the reproducibility of interfraction GTV centroid position by 46% (P = .009) from 8.8 mm to 4.8 mm and GTV position range by 69% (P = .052) from 7.4 mm to 2.3 mm. Compared with CBH, AVBH also improved the consistency of intrafraction GTVs by 70% (P = .023) from 7.8 cm(3) to 2.5 cm(3). CONCLUSIONS: This study demonstrated that audiovisual biofeedback can be used to improve the reproducibility and consistency of breath-hold lung tumor position and volume, respectively. These results may provide a pathway to achieve more accurate lung cancer radiation treatment in addition to improving various medical imaging and treatments by using breath-hold procedures. Elsevier 2017-03-10 /pmc/articles/PMC5605281/ /pubmed/29114603 http://dx.doi.org/10.1016/j.adro.2017.03.002 Text en © 2017 The Authors on behalf of the American Society for Radiation Oncology http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Scientific Article
Lee, Danny
Greer, Peter B.
Lapuz, Carminia
Ludbrook, Joanna
Hunter, Perry
Arm, Jameen
Pollock, Sean
Makhija, Kuldeep
O'Brien, Ricky T.
Kim, Taeho
Keall, Paul
Audiovisual biofeedback guided breath-hold improves lung tumor position reproducibility and volume consistency
title Audiovisual biofeedback guided breath-hold improves lung tumor position reproducibility and volume consistency
title_full Audiovisual biofeedback guided breath-hold improves lung tumor position reproducibility and volume consistency
title_fullStr Audiovisual biofeedback guided breath-hold improves lung tumor position reproducibility and volume consistency
title_full_unstemmed Audiovisual biofeedback guided breath-hold improves lung tumor position reproducibility and volume consistency
title_short Audiovisual biofeedback guided breath-hold improves lung tumor position reproducibility and volume consistency
title_sort audiovisual biofeedback guided breath-hold improves lung tumor position reproducibility and volume consistency
topic Scientific Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5605281/
https://www.ncbi.nlm.nih.gov/pubmed/29114603
http://dx.doi.org/10.1016/j.adro.2017.03.002
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