Evidence map›Paper›PMID 31415547›Full record

ArticleOptics letters2019

Real-time photoacoustic sensing for photo-mediated ultrasound therapy.

Wei Zhang, Yu Qin, Xinyi Xie, Zizhong Hu, Yannis M Paulus, Xinmai Yang, Xueding Wang

Abstract read
In one paragraph

Article in Optics letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. A review on photo-mediated ultrasound therapy.Experimental biology and medicine (Maywood, N.J.) · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 3-D X-Ray-Induced Acoustic Computed Tomography With a Spherical Array: A Simulation Study on Bone Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2020
    Article
  9. Photo-mediated Ultrasound Therapy to Treat Retinal Neovascularization.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020
    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

7 authors.

Wei Zhang
Yu Qin
Xinyi Xie
Zizhong Hu
Yannis M Paulus
Xinmai Yang
Xueding Wang

Funding

VIVARIUM MODULEP30EY007003 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David Antonetti · 1987 to 2026
$17.6M
Precisely removing microvessels by photo-mediated ultrasound therapyR01EY029489 · NEI · UNIVERSITY OF KANSAS LAWRENCE · PI YANG, XINMAI · 2018 to 2021
$1.8M
Real-time In Vivo Visualization of the Molecular Processes in Choroidal NeovascularizationK08EY027458 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PAULUS, YANNIS MANTAS · 2018 to 2021
$898k
NEI NIH HHS K08 EY027458NEI NIH HHS P30 EY007003NEI NIH HHS R01 EY029489
6 · The paper itself

Abstract

Photo-mediated ultrasound therapy (PUT) is a novel, noninvasive antimicrovascular approach that can treat neovascularization with high precision. We developed a photoacoustic (PA) sensing (PAS) system for PUT and achieved real-time PAS-guided PUT. Experiments performed on a chicken yolk sac membrane model demonstrated that PAS could monitor the treatment effect in a microvessel during PUT. Vessel shrinkage induced a decrease in the PA signal amplitude, while vessel rupture induced an abrupt increase in the PA signal amplitude. The integrated PUT and PAS system can significantly improve the safety and effectiveness of PUT, and may assist with clinical translation of this novel antimicrovascular technique.

Indexed as

Photoacoustic TechniquesOptical PhenomenaSignal-To-Noise RatioTime FactorsUltrasonic Therapy

Identifiers

PMID31415547
PMCPMC6907727

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.