Evidence map›Paper›PMID 35814614›Full record

ArticleInternational journal of nanomedicine2022

US/MR Bimodal Imaging-Guided Bio-Targeting Synergistic Agent for Tumor Therapy.

Fujie Jiang, Lu Wang, Yu Tang, Yaotai Wang, Ningshan Li, Disen Wang, Zhong Zhang, Li Lin, Yan Du, Xia Ou and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of nanomedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. EngineeredCancers · 2025
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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

11 authors at 2 institutions in 1 country.

Fujie Jiang *State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Key Laboratory of Biomedical Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, People's Republic of China.
Lu Wang *State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Key Laboratory of Biomedical Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, People's Republic of China.
Yu TangState Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Key Laboratory of Biomedical Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, People's Republic of China.
Yaotai WangState Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Key Laboratory of Biomedical Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, People's Republic of China.
Ningshan LiState Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Key Laboratory of Biomedical Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, People's Republic of China.
Disen WangState Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Key Laboratory of Biomedical Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, People's Republic of China.
Zhong ZhangState Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Key Laboratory of Biomedical Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, People's Republic of China.ORCID 0000-0001-5525-9800
Li LinState Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Key Laboratory of Biomedical Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, People's Republic of China.
Yan DuState Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Key Laboratory of Biomedical Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, People's Republic of China.
Xia OuState Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Key Laboratory of Biomedical Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, People's Republic of China.
Jianzhong ZouState Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Key Laboratory of Biomedical Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, People's Republic of China.
Chongqing University · CNArmy Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Breast cancer is detrimental to the health of women due to the difficulty of early diagnosis and unsatisfactory therapeutic efficacy of available breast cancer therapies. High intensity focused ultrasound (HIFU) ablation is a new method for the treatment of breast tumors, but there is a problem of low ablation efficiency. Therefore, the improvement of HIFU efficiency to combat breast cancer is immediately needed. This study aimed to describe a novel anaerobic bacteria-mediated nanoplatform, comprising synergistic HIFU therapy for breast cancer under guidance of ultrasound (US) and magnetic resonance (MR) bimodal imaging. Methods: The PFH@CL/Fe Results: Conclusion: A bio-targeting nanoplatform with high stability and good physicochemical properties was constructed. The HIFU synergistic agent achieved early precision imaging of tumors and promoted therapeutic effect, monitored by US and MR bimodal imaging during the treatment process.

Indexed as

Breast NeoplasmsHigh-Intensity Focused Ultrasound AblationNanoparticlesCell Line, TumorFemaleHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyUltrasonographyBifidobacterium bifidumcancer therapyhigh-intensity focused ultrasoundimaging guidancenanoparticles

Identifiers

PMID35814614
PMCPMC9270014
OpenAlexW4283793823

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.