Evidence map›Paper›PMID 34692196›Full record

ArticleBiomedical optics express2021

Photoacoustic computed tomography of mechanical HIFU-induced vascular injury.

Tri Vu, Yuqi Tang, Mucong Li, Georgii Sankin, Shanshan Tang, Shigao Chen, Pei Zhong, Junjie Yao

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2021. 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
0.5field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

8 authors at 2 institutions in 1 country.

Tri VuDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.ORCID https://orcid.org/0000-0002-1384-8647
Yuqi TangDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Mucong LiDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Georgii SankinDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
Shanshan TangDepartment of Radiology, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
Shigao ChenDepartment of Radiology, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
Pei ZhongDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
Junjie YaoDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Duke University · USWinnMed · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanical high-intensity focused ultrasound (HIFU) has been used for cancer treatment and drug delivery. Existing monitoring methods for mechanical HIFU therapies such as MRI and ultrasound imaging often suffer from high cost, poor spatial-temporal resolution, and/or low sensitivity to tissue's hemodynamic changes. Evaluating vascular injury during mechanical HIFU treatment, therefore, remains challenging. Photoacoustic computed tomography (PACT) is a promising tool to meet this need. Intrinsically sensitive to optical absorption, PACT provides high-resolution imaging of blood vessels using hemoglobin as the endogenous contrast. In this study, we have developed an integrated HIFU-PACT system for detecting vascular rupture in mechanical HIFU treatment. We have demonstrated singular value decomposition for enhancing hemorrhage detection. We have validated the HIFU-PACT performance on phantoms and

Identifiers

PMID34692196
PMCPMC8515986
OpenAlexW3173341146

What OpenQuestion holds

Textmetadata
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.