Evidence map›Paper›PMID 38144393›Full record

ReviewJournal of biomedical optics2024

X-ray-induced acoustic computed tomography and its applications in biomedicine.

Yuchen Yan, Shawn Liangzhong Xiang

Abstract readReview
In one paragraph

Review in Journal of biomedical optics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 4DPhysics in medicine and biology · 2024
    Article
  6. 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

2 authors.

Yuchen YanUniversity of California, Irvine, Department of Biomedical Engineering, Irvine, California, United States.
Shawn Liangzhong XiangUniversity of California, Irvine, Department of Biomedical Engineering, Irvine, California, United States.ORCID 0000-0002-7228-0510

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 CA240806
6 · The paper itself

Abstract

Significance: X-ray-induced acoustic computed tomography (XACT) offers a promising approach to biomedical imaging, leveraging X-ray absorption contrast. It overcomes the shortages of traditional X-ray, allowing for more advanced medical imaging. Aim: The review focuses on the significance and draws onto the potential applications of XACT to demonstrate it as an innovative imaging technique. Approach: This review navigates the expanding landscape of XACT imaging within the biomedical sphere. Integral topics addressed encompass the refinement of imaging systems and the advancement in image reconstruction algorithms. The review particularly emphasizes XACT's significant biomedical applications. Results: Key uses, such as breast imaging, bone density maps for osteoporosis, and X-ray molecular imaging, are highlighted to demonstrate the capability of XACT. A unique niche for XACT imaging is its application in Conclusions: Because of its unique property, XACT has great potential in biomedicine and non-destructive testing. We conclude by casting light on potential future avenues in this promising domain.

Indexed as

Image Processing, Computer-AssistedTomography, X-Ray ComputedAcousticsAlgorithmsBreastHumansPhantoms, ImagingX-Raysacousticsradiation dosimetryradiological imagingradiotherapy monitoringX-rayX-ray-induced acoustic computed tomography

Identifiers

PMID38144393
PMCPMC10740376

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.