Evidence map›Paper›PMID 32428252›Full record

ArticleMedical physics2020

X-ray-induced acoustic computed tomography for guiding prone stereotactic partial breast irradiation: a simulation study.

Yue Zheng, Pratik Samant, Jack Merill, Yong Chen, Salahuddin Ahmad, Dengwang Li, Liangzhong Xiang

Abstract read
In one paragraph

Article in Medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
  3. 4DPhysics in medicine and biology · 2024
    Article
  4. Article
  5. Review
  6. Model-Based 3-D X-Ray Induced Acoustic Computerized Tomography.IEEE transactions on radiation and plasma medical sciences · 2023
    Article
  7. Ring artifacts removal in X-ray-induced acoustic computed tomography.Journal of innovative optical health sciences · 2022
    Article
  8. Model-Based X-Ray-Induced Acoustic Computed Tomography.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021
    Article
  9. Article
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yue ZhengShandong Key Laboratory of Medical Physics and Image Processing & Shandong Provincial Engineering and Technical Center of Light Manipulations, School of Physics and Electronics, Shandong Normal University, Jinan, 250358, China.
Pratik SamantSchool of Biomedical Engineering, University of Oklahoma, Norman, OK, 73019, USA.
Jack MerillSchool of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, 73019, USA.
Yong ChenDepartment of Radiation Oncology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA.
Salahuddin AhmadDepartment of Radiation Oncology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA.
Dengwang LiShandong Key Laboratory of Medical Physics and Image Processing & Shandong Provincial Engineering and Technical Center of Light Manipulations, School of Physics and Electronics, Shandong Normal University, Jinan, 250358, China.
Liangzhong XiangSchool of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, 73019, USA.

Funding

Academic-Industry Partnership for the Translation of a 4D in vivo Dosimetry Approach for Radiation TherapyR37CA240806 · NCI · UNIVERSITY OF OKLAHOMA · PI CHEN, YONG, IVANOV, VASSILI · 2019 to 2025
$2.9M
American Cancer Society 133697-RSG-19-110-01-CCEIBEST-OUHSCNational Institute of Health R37CA240806National Natural Science Foundation of China 11747085National Natural Science Foundation of China 61471226National Natural Science Foundation of China 61741117Natural Science Foundation of Shandong Province 2018GGX101018Natural Science Foundation of Shandong Province JQ201516NCI NIH HHS R37 CA240806Oklahoma Center for the Advancement of Science and Technolog HR19-131Stephenson Cancer CenterTaishan Scholar Project of Shandong Province tsqn20161023University of Oklahoma Norman Campus
6 · The paper itself

Abstract

purposeThe 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).

methodsAn 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.

resultsIt 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.

conclusionsThis 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.

Indexed as

Radiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedAcousticsHumansPhantoms, ImagingX-Rays3D dose monitoringin real timethree-dimensional (3D) x-ray beam trackingx-ray-induced acoustic computed tomography (XACT)

Identifiers

PMID32428252
PMCPMC7674271

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.