Evidence map›Paper›PMID 40600002›Full record

ArticlePhotoacoustics2025

Ionizing radiation acoustic and ultrasound dual-modality imaging for visualization of dose on anatomical structures during radiotherapy.

Yaocai Huang, Ibrahim Oraiqat, Dale Litzenberg, Madhumithra Subramanian Karthikesh, Christopher Tichacek, Glebys Gonzalez, Zhanpeng Xu, Sarah Dykstra, Borui Li, Scott Hadley and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Photoacoustics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Ionizing radiation acoustic beam localization: one step towards "proton surgery".medRxiv : the preprint server for health sciences · 2026
    Article
  4. Article
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

17 authors.

Yaocai HuangDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States.
Ibrahim OraiqatDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, United States.
Dale LitzenbergDepartment of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.
Madhumithra Subramanian KarthikeshDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States.
Christopher TichacekDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, United States.
Glebys GonzalezDepartment of Machine Learning, Moffitt Cancer Center, Tampa, FL, United States.
Zhanpeng XuDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States.
Sarah DykstraDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States.
Borui LiDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States.
Scott HadleyDepartment of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.
Eduardo G MorosDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, United States.
Man ZhangDepartment of Radiology, University of Michigan, Ann Arbor, MI, United States.
Paul L CarsonDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States.
Kyle C CuneoDepartment of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.
Xueding WangDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States.
Issam El NaqaDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, United States.
Wei ZhangDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to visualize the radiation dose on anatomical structures during radiation therapy (RT) by mapping radiation dose deposition and tracking anatomical structures simultaneously. A dual-modality volumetric imaging system, which combines ionizing radiation acoustic imaging (iRAI) and ultrasound (US) imaging, was developed to provide dose deposition and anatomical information in real-time during RT. The performance of the proposed system was first evaluated via experiments on tissue-mimicking phantoms driven by a custom motion stage. By using US imaging to correct the position of anatomical structures, the dose mapping accuracy of the system increased by up to 0.51 in structural similarity index measure (SSIM) and 74.60 % in Gamma passing rate (GPR) compared to standalone iRAI. A subsequent study on a rabbit model

Indexed as

Dose mapping on anatomical structuresIonizing radiation acoustic imaging (iRAI)Radiation therapy precisionUltrasound (US) imaging

Identifiers

PMID40600002
PMCPMC12209899

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.