Evidence map›Paper›PMID 35855685›Full record

ArticleJournal of applied physics2022

Volumetric tri-modal imaging with combined photoacoustic, ultrasound, and shear wave elastography.

Emily Zheng, Huijuan Zhang, Wentao Hu, Marvin M Doyley, Jun Xia

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of applied physics, 2022. 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. Review
  2. Article
  3. Tri-modalityPhotoacoustics · 2024
    Article
  4. Photoacoustic imaging plus X: a review.Journal of biomedical optics · 2024
    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

5 authors.

Emily ZhengDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260, USA.ORCID 0000-0002-6602-3243
Huijuan ZhangDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260, USA.
Wentao HuDepartment of Electrical and Computer Engineering, Rochester Center for Biomedical Ultrasound, University of Rochester, Rochester, New York 14627, USA.
Marvin M DoyleyDepartment of Electrical and Computer Engineering, Rochester Center for Biomedical Ultrasound, University of Rochester, Rochester, New York 14627, USA.ORCID 0000-0002-5154-6711
Jun XiaDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260, USA.

Funding

Development of photoacoustic tomography for non-invasive, label-free imaging of tissue perfusion in chronic woundsR01EB028978 · NIBIB · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI XIA, JUN · 2021 to 2024
$1.6M
Multiparametric photoacoustic and ultrasonic imaging of the breast in cranial-caudal viewR01EB029596 · NIBIB · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI XIA, JUN · 2020 to 2023
$1.4M
NIBIB NIH HHS R01 EB028978NIBIB NIH HHS R01 EB029596
6 · The paper itself

Abstract

Photoacoustic imaging is a hybrid imaging approach that combines the advantages of optical and ultrasonic imaging in one modality. However, for comprehensive tissue characterization, optical contrast alone is not always sufficient. In this study, we combined photoacoustic imaging with high-resolution ultrasound and shear wave elastography. The multi-modal system can calculate optical absorption, acoustic reflection, and stiffness volumetrically. We constructed a multi-modal phantom with contrast for each imaging modality to test the system's performance. Experimental results indicate that the system successfully visualizes the embedded structures. We envision that the system will lead to more comprehensive tissue characterization for cancer screening and diagnosis.

Identifiers

PMID35855685
PMCPMC9288268

What OpenQuestion holds

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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.