Evidence map›Paper›PMID 42181861›Full record

ArticleFrontiers in pharmacology2026

Toward high-stability quantitative carriers: development of superparamagnetic nanocarriers and a high-sensitivity mixing-frequency narrow-band magnetic particle imaging detection system.

Tianshu Li, Yichao Wang, Xin Zheng, Huiyan Si, Yue Kang, Hongye Chen, Shi Bai

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Tianshu LiDepartment of Information Science and Technology, Shenyang University of Technology, Shenyang, Liaoning, China.
Yichao WangDepartment of Information Science and Technology, Shenyang University of Technology, Shenyang, Liaoning, China.
Xin ZhengDepartment of Information Science and Technology, Shenyang University of Technology, Shenyang, Liaoning, China.
Huiyan SiDepartment of General Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing, China.
Yue KangDepartment of Breast Surgery, Cancer Hospital of Dalian University of Technology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning, China.
Hongye ChenDepartment of General Surgery, The 8th Medical Center, Chinese PLA General Hospital, Beijing, China.
Shi BaiDepartment of Information Science and Technology, Shenyang University of Technology, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Superparamagnetic iron oxide nanoparticles (SPIONs) have attracted extensive attention in recent years as visualizable and controllable organic nanocarriers. Magnetic particle imaging (MPI), as a quantitative imaging method, enables visual and quantitative characterization of carriers. The quantitative imaging capability of carriers is critically crucial for precise quantitative local drug concentrations. However, the alternating current susceptibility (ACS) of SPIONs is highly susceptible to external interference and, thus, prone to fluctuations, which tend to be multifactorial and poorly defined in the Methods: Through the analysis of the third-harmonic ACS of SPIONs, we proposed that under specific nanoscale dimensions and instrument frequency, the ACS maintained a relatively stable state, with a quantifiable fluctuation range even under complex interference conditions, thus enabling quantitative analysis in the Results and Discussion:

Indexed as

magnetic particle imagingmixing-frequencynanocarriernarrow-bandquantifiable fluctuationquantitative imaging

Identifiers

PMID42181861
PMCPMC13193856

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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.