Cargando…
Surface imaging‐based analysis of intrafraction motion for breast radiotherapy patients
Breast treatments are becoming increasingly complex as the use of modulated and partial breast therapies becomes more prevalent. These methods are predicated on accurate and precise positioning for treatment. However, the ability to quantify intrafraction motion has been limited by the excessive dos...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711123/ https://www.ncbi.nlm.nih.gov/pubmed/25493520 http://dx.doi.org/10.1120/jacmp.v15i6.4957 |
_version_ | 1783283013730172928 |
---|---|
author | Wiant, David B. Wentworth, Stacy Maurer, Jacqueline M. Vanderstraeten, Caroline L. Terrell, Jonathon A. Sintay, Benjamin J. |
author_facet | Wiant, David B. Wentworth, Stacy Maurer, Jacqueline M. Vanderstraeten, Caroline L. Terrell, Jonathon A. Sintay, Benjamin J. |
author_sort | Wiant, David B. |
collection | PubMed |
description | Breast treatments are becoming increasingly complex as the use of modulated and partial breast therapies becomes more prevalent. These methods are predicated on accurate and precise positioning for treatment. However, the ability to quantify intrafraction motion has been limited by the excessive dose that would result from continuous X‐ray imaging throughout treatment. Recently, surface imaging has offered the opportunity to obtain 3D measurements of patient position throughout breast treatments without radiation exposure. Thirty free‐breathing breast patients were monitored with surface imaging for 831 monitoring sessions. Mean translations and rotations were calculated over each minute, each session, and over all sessions combined. The percentage of each session that the root mean squares (RMS) of the linear translations were outside of defined tolerances was determined for each patient. Correlations between mean translations per minute and time, and between standard deviation per minute and time, were evaluated using Pearson's r value. The mean RMS translation averaged over all patients was [Formula: see text]. The patients spent an average of 34%, 17%, 9%, and 5% of the monitoring time outside of 2 mm, 3 mm, 4 mm, and 5 mm RMS tolerances, respectively. The RMS values averaged over all patients were [Formula: see text] , [Formula: see text] , and [Formula: see text] over the 5th, 10th, and 15th minutes of monitoring, respectively. The RMS values ([Formula: see text]) and standard deviations ([Formula: see text]) over all patients showed strong significant correlations with time. We see that the majority of patients' treatment time is spent within 5 mm of the isocenter and that patient position drifts with increasing treatment time. Treatment length should be considered in the planning process. An 8 mm margin on a target volume would account for 2 SDs of motion for a treatment up to 15 minutes in length. PACS numbers: 87.53.Jw, 87.53.Kn, 87.56.Da, 87.63.L‐ |
format | Online Article Text |
id | pubmed-5711123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57111232018-04-02 Surface imaging‐based analysis of intrafraction motion for breast radiotherapy patients Wiant, David B. Wentworth, Stacy Maurer, Jacqueline M. Vanderstraeten, Caroline L. Terrell, Jonathon A. Sintay, Benjamin J. J Appl Clin Med Phys Radiation Oncology Physics Breast treatments are becoming increasingly complex as the use of modulated and partial breast therapies becomes more prevalent. These methods are predicated on accurate and precise positioning for treatment. However, the ability to quantify intrafraction motion has been limited by the excessive dose that would result from continuous X‐ray imaging throughout treatment. Recently, surface imaging has offered the opportunity to obtain 3D measurements of patient position throughout breast treatments without radiation exposure. Thirty free‐breathing breast patients were monitored with surface imaging for 831 monitoring sessions. Mean translations and rotations were calculated over each minute, each session, and over all sessions combined. The percentage of each session that the root mean squares (RMS) of the linear translations were outside of defined tolerances was determined for each patient. Correlations between mean translations per minute and time, and between standard deviation per minute and time, were evaluated using Pearson's r value. The mean RMS translation averaged over all patients was [Formula: see text]. The patients spent an average of 34%, 17%, 9%, and 5% of the monitoring time outside of 2 mm, 3 mm, 4 mm, and 5 mm RMS tolerances, respectively. The RMS values averaged over all patients were [Formula: see text] , [Formula: see text] , and [Formula: see text] over the 5th, 10th, and 15th minutes of monitoring, respectively. The RMS values ([Formula: see text]) and standard deviations ([Formula: see text]) over all patients showed strong significant correlations with time. We see that the majority of patients' treatment time is spent within 5 mm of the isocenter and that patient position drifts with increasing treatment time. Treatment length should be considered in the planning process. An 8 mm margin on a target volume would account for 2 SDs of motion for a treatment up to 15 minutes in length. PACS numbers: 87.53.Jw, 87.53.Kn, 87.56.Da, 87.63.L‐ John Wiley and Sons Inc. 2014-11-08 /pmc/articles/PMC5711123/ /pubmed/25493520 http://dx.doi.org/10.1120/jacmp.v15i6.4957 Text en © 2014 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Radiation Oncology Physics Wiant, David B. Wentworth, Stacy Maurer, Jacqueline M. Vanderstraeten, Caroline L. Terrell, Jonathon A. Sintay, Benjamin J. Surface imaging‐based analysis of intrafraction motion for breast radiotherapy patients |
title | Surface imaging‐based analysis of intrafraction motion for breast radiotherapy patients |
title_full | Surface imaging‐based analysis of intrafraction motion for breast radiotherapy patients |
title_fullStr | Surface imaging‐based analysis of intrafraction motion for breast radiotherapy patients |
title_full_unstemmed | Surface imaging‐based analysis of intrafraction motion for breast radiotherapy patients |
title_short | Surface imaging‐based analysis of intrafraction motion for breast radiotherapy patients |
title_sort | surface imaging‐based analysis of intrafraction motion for breast radiotherapy patients |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711123/ https://www.ncbi.nlm.nih.gov/pubmed/25493520 http://dx.doi.org/10.1120/jacmp.v15i6.4957 |
work_keys_str_mv | AT wiantdavidb surfaceimagingbasedanalysisofintrafractionmotionforbreastradiotherapypatients AT wentworthstacy surfaceimagingbasedanalysisofintrafractionmotionforbreastradiotherapypatients AT maurerjacquelinem surfaceimagingbasedanalysisofintrafractionmotionforbreastradiotherapypatients AT vanderstraetencarolinel surfaceimagingbasedanalysisofintrafractionmotionforbreastradiotherapypatients AT terrelljonathona surfaceimagingbasedanalysisofintrafractionmotionforbreastradiotherapypatients AT sintaybenjaminj surfaceimagingbasedanalysisofintrafractionmotionforbreastradiotherapypatients |