X-ray-induced acoustic computed tomography for guiding prone stereotactic partial breast irradiation: a simulation study.
3D dose monitoring
in real time
three-dimensional (3D) x-ray beam tracking
x-ray-induced acoustic computed tomography (XACT)
Journal
Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746
Informations de publication
Date de publication:
Sep 2020
Sep 2020
Historique:
received:
30
09
2019
revised:
22
04
2020
accepted:
11
05
2020
pubmed:
20
5
2020
medline:
15
5
2021
entrez:
20
5
2020
Statut:
ppublish
Résumé
The aim of this study is to investigate the feasibility of x-ray-induced acoustic computed tomography (XACT) as an image guidance tool for tracking x-ray beam location and monitoring radiation dose delivered to the patient during stereotactic partial breast irradiation (SPBI). An in-house simulation workflow was developed to assess the ability of XACT to act as an in vivo dosimetry tool for SPBI. To evaluate this simulation workflow, a three-dimensional (3D) digital breast phantom was created by a series of two-dimensional (2D) breast CT slices from a patient. Three different tissue types (skin, adipose tissue, and glandular tissue) were segmented and the postlumpectomy seroma was simulated inside the digital breast phantom. A treatment plan was made with three beam angles to deliver radiation dose to the seroma in breast to simulate SPBI. The three beam angles for 2D simulations were 17°, 90° and 159° (couch angles were 0 degrees) while the angles were 90 degrees (couch angles were 0°, 27°, 90°) in 3D simulation. A multi-step simulation platform capable of modelling XACT was developed. First, the dose distribution was converted to an initial pressure distribution. The propagation of this pressure disturbance in the form of induced acoustic waves was then modeled using the k-wave MATLAB toolbox. The waves were then detected by a hemispherical-shaped ultrasound transducer array (6320 transducer locations distributed on the surface of the breast). Finally, the time-varying pressure signals detected at each transducer location were used to reconstruct an image of the initial pressure distribution using a 3D time-reversal reconstruction algorithm. Finally, the reconstructed XACT images of the radiation beams were overlaid onto the structure breast CT. It was found that XACT was able to reconstruct the dose distribution of SPBI in 3D. In the reconstructed 3D volumetric dose distribution, the average doses in the GTV (Gross Target Volume) and PTV (Planning Target Volume) were 86.15% and 80.89%, respectively. When compared to the treatment plan, the XACT reconstructed dose distribution in the GTV and PTV had a RMSE (root mean square error) of 2.408 % and 2.299 % over all pixels. The 3D breast XACT imaging reconstruction with time-reversal reconstruction algorithm can be finished within several minutes. This work explores the feasibility of using the novel imaging modality of XACT as an in vivo dosimeter for SPBI radiotherapy. It shows that XACT imaging can provide the x-ray beam location and dose information in deep tissue during the treatment in real time in 3D. This study lays the groundwork for a variety of future studies related to the use of XACT as a dosimeter at different cancer sites.
Identifiants
pubmed: 32428252
doi: 10.1002/mp.14245
pmc: PMC7674271
mid: NIHMS1611546
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
4386-4395Subventions
Organisme : IBEST-OUHSC
Organisme : American Cancer Society
ID : 133697-RSG-19-110-01-CCE
Organisme : NCI NIH HHS
ID : R37 CA240806
Pays : United States
Organisme : National Natural Science Foundation of China
ID : 61741117
Organisme : National Natural Science Foundation of China
ID : 11747085
Organisme : National Institute of Health
ID : R37CA240806
Organisme : Stephenson Cancer Center
Organisme : Natural Science Foundation of Shandong Province
ID : 2018GGX101018
Organisme : Natural Science Foundation of Shandong Province
ID : JQ201516
Organisme : Oklahoma Center for the Advancement of Science and Technolog
ID : HR19-131
Organisme : National Natural Science Foundation of China
ID : 61471226
Organisme : Taishan Scholar Project of Shandong Province
ID : tsqn20161023
Organisme : University of Oklahoma Norman Campus
Informations de copyright
© 2020 American Association of Physicists in Medicine.
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