Evidence map›Paper›PMID 38098888›Full record

ArticleNano research2023

Liqin Ren, Yang Liu, Tingfeng Yao, Kytai T Nguyen, Baohong Yuan

Open access · greenAbstract read
In one paragraph

Article in Nano research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Dynamic models for ultrasound-switchable fluorescence.Physics in medicine and biology · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. 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

5 authors at 2 institutions in 1 country.

Liqin RenUltrasound and Optical Imaging Laboratory, Department of Bioengineering, the University of Texas at Arlington, Arlington, TX 76019, USA.
Yang LiuUltrasound and Optical Imaging Laboratory, Department of Bioengineering, the University of Texas at Arlington, Arlington, TX 76019, USA.
Tingfeng YaoUltrasound and Optical Imaging Laboratory, Department of Bioengineering, the University of Texas at Arlington, Arlington, TX 76019, USA.
Kytai T NguyenJoint Biomedical Engineering Program, the University of Texas at Arlington and the University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Baohong YuanUltrasound and Optical Imaging Laboratory, Department of Bioengineering, the University of Texas at Arlington, Arlington, TX 76019, USA.
The University of Texas at Arlington · USThe University of Texas Southwestern Medical Center · US

Funding

Mapping activeness of very small tumors in breast for patient stratificationR15EB030809 · NIBIB · UNIVERSITY OF TEXAS ARLINGTON · PI YUAN, BAOHONG · 2021 to 2021
$443k
NIBIB NIH HHS R15 EB030809
6 · The paper itself

Abstract

Near-infrared fluorescence imaging has emerged as a noninvasive, inexpensive, and ionizing-radiation-free monitoring tool for assessing tumor growth and treatment efficacy. In particular, ultrasound switchable fluorescence (USF) imaging has been explored with improved imaging sensitivity and spatial resolution in centimeter-deep tissues. This study achieved size control of polymer-based and indocyanine green (ICG) encapsulated USF contrast agents, capable of accumulating at the tumor after intravenous injections. These nanoprobes varied in size from 58 nm to 321 nm. The bioimaging profiles demonstrated that the proposed nanoparticles can efficiently eliminate the background light from normal tissue and show a tumor-specific fluorescence enhancement in the BxPC-3 tumor-bearing mice models possibly via the enhanced permeability and retention effect.

Indexed as

deep tissue near-infrared (NIR) imaginghigh resolutionindocyanine green (ICG)in vivo tumor imagingultrasound-switchable fluorescence imaging

Identifiers

PMID38098888
PMCPMC10720766
OpenAlexW4296962284

What OpenQuestion holds

Textmetadata
LicenceTDM
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.