Evidence map›Paper›PMID 37203253›Full record

ArticleMedical physics2023

Towards quantitative in vivo dosimetry using x-ray acoustic computed tomography.

Leshan Sun, Gilberto Gonzalez, Prabodh Kumar Pandey, Siqi Wang, Kaitlyn Kim, Charles Limoli, Yong Chen, Liangzhong Xiang

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Volumetric FLASH dosimetryPhysics in medicine and biology · 2026
    Article
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  6. Review
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  9. 4DPhysics in medicine and biology · 2024
    Article
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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

8 authors at 2 institutions in 1 country.

Leshan SunDepartment of Biomedical Engineering, University of California, Irvine, California, USA.
Gilberto GonzalezDepartment of Radiation Oncology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA.
Prabodh Kumar PandeyDepartment of Radiological Sciences, University of California at Irvine, Irvine, California, USA.
Siqi WangDepartment of Biomedical Engineering, University of California, Irvine, California, USA.
Kaitlyn KimDepartment of Biomedical Engineering, University of California, Irvine, California, USA.
Charles LimoliDepartment of Radiation Oncology, University of California Irvine, Medical Sciences I, Irvine, California, USA.
Yong ChenDepartment of Radiation Oncology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA.
Liangzhong XiangDepartment of Biomedical Engineering, University of California, Irvine, California, USA.
University of California, Irvine · USUniversity of Oklahoma Health Sciences Center · US

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Melanie Funes · 1994 to 2026
$57.9M
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
NCI NIH HHS P30 CA062203NCI NIH HHS R37 CA240806NIH HHS
6 · The paper itself

Abstract

backgroundRadiation dosimetry is essential for radiation therapy (RT) to ensure that radiation dose is accurately delivered to the tumor. Despite its wide use in clinical intervention, the delivered radiation dose can only be planned and verified via simulation. This makes precision radiotherapy challenging while in-line verification of the delivered dose is still absent in the clinic. X-ray-induced acoustic computed tomography (XACT) has recently been proposed as an imaging tool for in vivo dosimetry. PURPOSE: Most of the XACT studies focus on localizing the radiation beam. However, it has not been studied for its potential for quantitative dosimetry. The aim of this study was to investigate the feasibility of using XACT for quantitative in vivo dose reconstruction during radiotherapy.

methodsVarian Eclipse system was used to generate simulated uniform and wedged 3D radiation field with a size of 4 cm

resultsApplying model-based reconstruction algorithm with non-negative constraints successfully reconstructed accurate radiation dose in 3D simulation study. The reconstructed dose matches well with the PDD profile after calibration in experiments. The SSIMs between the model-based reconstructions and initial doses are over 85%, and the RMSEs of model-based reconstructions are eight times lower than the UBP reconstructions. We have also shown that XACT images can be displayed as pseudo-color maps of acoustic intensity, which correspond to different radiation doses in the clinic.

conclusionOur results show that the XACT imaging by model-based reconstruction algorithm is considerably more accurate than the dose reconstructed by UBP algorithm. With proper calibration, XACT is potentially applicable to the clinic for quantitative in vivo dosimetry across a wide range of radiation modalities. In addition, XACT's capability of real-time, volumetric dose imaging seems well-suited for the emerging field of ultrahigh dose rate "FLASH" radiotherapy.

Indexed as

In Vivo DosimetryAcousticsPhantoms, ImagingRadiometryRadiotherapy DosageTomography, X-Ray ComputedX-Raysin vivo dosimetrymodel-based reconstructionquantitative acoustic reconstructionXACT

Identifiers

PMID37203253
PMCPMC10656364
OpenAlexW4377095103

What OpenQuestion holds

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Registered trials

None linked

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.