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A component method to delineate surgical spine implants for proton Monte Carlo dose calculation
PURPOSE: Metallic implants have been correlated to local control failure for spinal sarcoma and chordoma patients due to the uncertainty of implant delineation from computed tomography (CT). Such uncertainty can compromise the proton Monte Carlo dose calculation (MCDC) accuracy. A component method i...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859997/ https://www.ncbi.nlm.nih.gov/pubmed/36210177 http://dx.doi.org/10.1002/acm2.13800 |
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author | Chang, Chih‐Wei Charyyev, Serdar Harms, Joseph Slopsema, Roelf Wolf, Jonathan Refai, Daniel Yoon, Tim McDonald, Mark W. Bradley, Jeffrey D. Leng, Shuai Zhou, Jun Yang, Xiaofeng Lin, Liyong |
author_facet | Chang, Chih‐Wei Charyyev, Serdar Harms, Joseph Slopsema, Roelf Wolf, Jonathan Refai, Daniel Yoon, Tim McDonald, Mark W. Bradley, Jeffrey D. Leng, Shuai Zhou, Jun Yang, Xiaofeng Lin, Liyong |
author_sort | Chang, Chih‐Wei |
collection | PubMed |
description | PURPOSE: Metallic implants have been correlated to local control failure for spinal sarcoma and chordoma patients due to the uncertainty of implant delineation from computed tomography (CT). Such uncertainty can compromise the proton Monte Carlo dose calculation (MCDC) accuracy. A component method is proposed to determine the dimension and volume of the implants from CT images. METHODS: The proposed component method leverages the knowledge of surgical implants from medical supply vendors to predefine accurate contours for each implant component, including tulips, screw bodies, lockers, and rods. A retrospective patient study was conducted to demonstrate the feasibility of the method. The reference implant materials and samples were collected from patient medical records and vendors, Medtronic and NuVasive. Additional CT images with extensive features, such as extended Hounsfield units and various reconstruction diameters, were used to quantify the uncertainty of implant contours. RESULTS: For in vivo patient implant estimation, the reference and the component method differences were 0.35, 0.17, and 0.04 cm(3) for tulips, screw bodies, and rods, respectively. The discrepancies by a conventional threshold method were 5.46, 0.76, and 0.05 cm(3), respectively. The mischaracterization of implant materials and dimensions can underdose the clinical target volume coverage by 20 cm(3) for a patient with eight lumbar implants. The tulip dominates the dosimetry uncertainty as it can be made from titanium or cobalt–chromium alloys by different vendors. CONCLUSIONS: A component method was developed and demonstrated using phantom and patient studies with implants. The proposed method provides more accurate implant characterization for proton MCDC and can potentially enhance the treatment quality for proton therapy. The current proof‐of‐concept study is limited to the implant characterization for lumbar spine. Future investigations could be extended to cervical spine and dental implants for head‐and‐neck patients where tight margins are required to spare organs at risk. |
format | Online Article Text |
id | pubmed-9859997 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98599972023-01-24 A component method to delineate surgical spine implants for proton Monte Carlo dose calculation Chang, Chih‐Wei Charyyev, Serdar Harms, Joseph Slopsema, Roelf Wolf, Jonathan Refai, Daniel Yoon, Tim McDonald, Mark W. Bradley, Jeffrey D. Leng, Shuai Zhou, Jun Yang, Xiaofeng Lin, Liyong J Appl Clin Med Phys Radiation Oncology Physics PURPOSE: Metallic implants have been correlated to local control failure for spinal sarcoma and chordoma patients due to the uncertainty of implant delineation from computed tomography (CT). Such uncertainty can compromise the proton Monte Carlo dose calculation (MCDC) accuracy. A component method is proposed to determine the dimension and volume of the implants from CT images. METHODS: The proposed component method leverages the knowledge of surgical implants from medical supply vendors to predefine accurate contours for each implant component, including tulips, screw bodies, lockers, and rods. A retrospective patient study was conducted to demonstrate the feasibility of the method. The reference implant materials and samples were collected from patient medical records and vendors, Medtronic and NuVasive. Additional CT images with extensive features, such as extended Hounsfield units and various reconstruction diameters, were used to quantify the uncertainty of implant contours. RESULTS: For in vivo patient implant estimation, the reference and the component method differences were 0.35, 0.17, and 0.04 cm(3) for tulips, screw bodies, and rods, respectively. The discrepancies by a conventional threshold method were 5.46, 0.76, and 0.05 cm(3), respectively. The mischaracterization of implant materials and dimensions can underdose the clinical target volume coverage by 20 cm(3) for a patient with eight lumbar implants. The tulip dominates the dosimetry uncertainty as it can be made from titanium or cobalt–chromium alloys by different vendors. CONCLUSIONS: A component method was developed and demonstrated using phantom and patient studies with implants. The proposed method provides more accurate implant characterization for proton MCDC and can potentially enhance the treatment quality for proton therapy. The current proof‐of‐concept study is limited to the implant characterization for lumbar spine. Future investigations could be extended to cervical spine and dental implants for head‐and‐neck patients where tight margins are required to spare organs at risk. John Wiley and Sons Inc. 2022-10-09 /pmc/articles/PMC9859997/ /pubmed/36210177 http://dx.doi.org/10.1002/acm2.13800 Text en © 2022 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Radiation Oncology Physics Chang, Chih‐Wei Charyyev, Serdar Harms, Joseph Slopsema, Roelf Wolf, Jonathan Refai, Daniel Yoon, Tim McDonald, Mark W. Bradley, Jeffrey D. Leng, Shuai Zhou, Jun Yang, Xiaofeng Lin, Liyong A component method to delineate surgical spine implants for proton Monte Carlo dose calculation |
title | A component method to delineate surgical spine implants for proton Monte Carlo dose calculation |
title_full | A component method to delineate surgical spine implants for proton Monte Carlo dose calculation |
title_fullStr | A component method to delineate surgical spine implants for proton Monte Carlo dose calculation |
title_full_unstemmed | A component method to delineate surgical spine implants for proton Monte Carlo dose calculation |
title_short | A component method to delineate surgical spine implants for proton Monte Carlo dose calculation |
title_sort | component method to delineate surgical spine implants for proton monte carlo dose calculation |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859997/ https://www.ncbi.nlm.nih.gov/pubmed/36210177 http://dx.doi.org/10.1002/acm2.13800 |
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