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Spatially fractionated radiotherapy (GRID) using helical tomotherapy
Spatially fractionated radiotherapy (GRID) was designed to treat large tumors while sparing skin, and it is usually delivered with a linear accelerator using a commercially available block or multileaf collimator (LINAC‐GRID). For deep‐seated (skin to tumor distance [Formula: see text]) tumors, it i...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690194/ https://www.ncbi.nlm.nih.gov/pubmed/26894367 http://dx.doi.org/10.1120/jacmp.v17i1.5934 |
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author | Zhang, Xin Penagaricano, Jose Yan, Yulong Liang, Xiaoying Morrill, Steven Griffin, Robert J. Corry, Peter Ratanatharathorn, Vaneerat |
author_facet | Zhang, Xin Penagaricano, Jose Yan, Yulong Liang, Xiaoying Morrill, Steven Griffin, Robert J. Corry, Peter Ratanatharathorn, Vaneerat |
author_sort | Zhang, Xin |
collection | PubMed |
description | Spatially fractionated radiotherapy (GRID) was designed to treat large tumors while sparing skin, and it is usually delivered with a linear accelerator using a commercially available block or multileaf collimator (LINAC‐GRID). For deep‐seated (skin to tumor distance [Formula: see text]) tumors, it is always a challenge to achieve adequate tumor dose coverage. A novel method to perform GRID treatment using helical tomotherapy (HT‐GRID) was developed at our institution. Our approach allows treating patients by generating a patient‐specific virtual GRID block (software‐generated) and using IMRT technique to optimize the treatment plan. Here, we report our initial clinical experience using HT‐GRID, and dosimetric comparison results between HT‐GRID and LINAC‐GRID. This study evaluates 10 previously treated patients who had deep‐seated bulky tumors with complex geometries. Five of these patients were treated with HT‐GRID and replanned with LINAC‐GRID for comparison. Similarly, five other patients were treated with LINAC‐GRID and replanned with HT‐GRID for comparison. The prescription was set such that the maximum dose to the GTV is 20 Gy in a single fraction. Dosimetric parameters compared included: mean GTV dose ([Formula: see text]), GTV dose inhomogeneity (valley‐to‐peak dose ratio (VPR)), normal tissue doses ([Formula: see text]), and other organs‐at‐risk (OARs) doses. In addition, equivalent uniform doses (EUD) for both GTV and normal tissue were evaluated. In summary, HT‐GRID technique is patient‐specific, and allows adjustment of the GRID pattern to match different tumor sizes and shapes when they are deep‐seated and cannot be adequately treated with LINAC‐GRID. HT‐GRID delivers a higher [Formula: see text] , EUD, and VPR compared to LINAC‐GRID. HT‐GRID delivers a higher [Formula: see text] and lower EUD for normal tissue compared to LINAC‐GRID. HT‐GRID plans also have more options for tumors with complex anatomical relationships between the GTV and the avoidance OARs (abutment or close proximity). PACS numbers: 87.55.D, 87.55.de, 87.55.ne, 87.55.tg |
format | Online Article Text |
id | pubmed-5690194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56901942018-04-02 Spatially fractionated radiotherapy (GRID) using helical tomotherapy Zhang, Xin Penagaricano, Jose Yan, Yulong Liang, Xiaoying Morrill, Steven Griffin, Robert J. Corry, Peter Ratanatharathorn, Vaneerat J Appl Clin Med Phys Other Topics Spatially fractionated radiotherapy (GRID) was designed to treat large tumors while sparing skin, and it is usually delivered with a linear accelerator using a commercially available block or multileaf collimator (LINAC‐GRID). For deep‐seated (skin to tumor distance [Formula: see text]) tumors, it is always a challenge to achieve adequate tumor dose coverage. A novel method to perform GRID treatment using helical tomotherapy (HT‐GRID) was developed at our institution. Our approach allows treating patients by generating a patient‐specific virtual GRID block (software‐generated) and using IMRT technique to optimize the treatment plan. Here, we report our initial clinical experience using HT‐GRID, and dosimetric comparison results between HT‐GRID and LINAC‐GRID. This study evaluates 10 previously treated patients who had deep‐seated bulky tumors with complex geometries. Five of these patients were treated with HT‐GRID and replanned with LINAC‐GRID for comparison. Similarly, five other patients were treated with LINAC‐GRID and replanned with HT‐GRID for comparison. The prescription was set such that the maximum dose to the GTV is 20 Gy in a single fraction. Dosimetric parameters compared included: mean GTV dose ([Formula: see text]), GTV dose inhomogeneity (valley‐to‐peak dose ratio (VPR)), normal tissue doses ([Formula: see text]), and other organs‐at‐risk (OARs) doses. In addition, equivalent uniform doses (EUD) for both GTV and normal tissue were evaluated. In summary, HT‐GRID technique is patient‐specific, and allows adjustment of the GRID pattern to match different tumor sizes and shapes when they are deep‐seated and cannot be adequately treated with LINAC‐GRID. HT‐GRID delivers a higher [Formula: see text] , EUD, and VPR compared to LINAC‐GRID. HT‐GRID delivers a higher [Formula: see text] and lower EUD for normal tissue compared to LINAC‐GRID. HT‐GRID plans also have more options for tumors with complex anatomical relationships between the GTV and the avoidance OARs (abutment or close proximity). PACS numbers: 87.55.D, 87.55.de, 87.55.ne, 87.55.tg John Wiley and Sons Inc. 2016-01-08 /pmc/articles/PMC5690194/ /pubmed/26894367 http://dx.doi.org/10.1120/jacmp.v17i1.5934 Text en © 2016 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 | Other Topics Zhang, Xin Penagaricano, Jose Yan, Yulong Liang, Xiaoying Morrill, Steven Griffin, Robert J. Corry, Peter Ratanatharathorn, Vaneerat Spatially fractionated radiotherapy (GRID) using helical tomotherapy |
title | Spatially fractionated radiotherapy (GRID) using helical tomotherapy |
title_full | Spatially fractionated radiotherapy (GRID) using helical tomotherapy |
title_fullStr | Spatially fractionated radiotherapy (GRID) using helical tomotherapy |
title_full_unstemmed | Spatially fractionated radiotherapy (GRID) using helical tomotherapy |
title_short | Spatially fractionated radiotherapy (GRID) using helical tomotherapy |
title_sort | spatially fractionated radiotherapy (grid) using helical tomotherapy |
topic | Other Topics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690194/ https://www.ncbi.nlm.nih.gov/pubmed/26894367 http://dx.doi.org/10.1120/jacmp.v17i1.5934 |
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