Evidence map›Paper›PMID 40636343›Full record

ReviewiLIVER2022

Advances in magnetic particle imaging and perspectives on liver imaging.

Wei Li, Xiaohua Jia, Lin Yin, Zhiyun Yang, Hui Hui, Jianlin Li, Wenhui Huang, Jie Tian, Shuixing Zhang

Abstract readReview
In one paragraph

Review in iLIVER, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Stimuli-Responsive Materials for Biomedical Applications.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. 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

9 authors.

Wei LiDepartment of Radiology, The First Affiliated Hospital, Jinan University, No.613, Huangpu West Road, Tianhe District, Guangzhou, 510627, Guangdong, China.
Xiaohua JiaCAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China.
Lin YinCAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China.
Zhiyun YangDepartment of Radiology, The First Affiliated Hospital, Jinan University, No.613, Huangpu West Road, Tianhe District, Guangzhou, 510627, Guangdong, China.
Hui HuiCAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China.
Jianlin LiSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing 210023, China.
Wenhui HuangDepartment of Radiology, The First Affiliated Hospital, Jinan University, No.613, Huangpu West Road, Tianhe District, Guangzhou, 510627, Guangdong, China.
Jie TianCAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China.
Shuixing ZhangDepartment of Radiology, The First Affiliated Hospital, Jinan University, No.613, Huangpu West Road, Tianhe District, Guangzhou, 510627, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic particle imaging (MPI) is an emerging technique to visualize the spatial distribution of superparamagnetic iron oxide with high temporal-spatial resolution, high sensitivity, unlimited image depth, and true quantitative information. MPI is based on the nonlinear response of superparamagnetic iron oxide in an alternating magnetic field without tissue background noise. It is a promising imaging modality for various applications, including vascular imaging, cell tracking, tumor imaging, and catheter navigation. Many applications of liver imaging could be improved or created with MPI. In this review, we cover the principle and construction of MPI, we evaluate the features and advantages of MPI with relation to its own rationale and via comparison with other imaging modalities, and we review MPI liver imaging applications with a view toward assisting hepatic researchers in drawing inspiration.

Indexed as

Liver imagingMagnetic particle imagingSPIO

Identifiers

PMID40636343
PMCPMC12212696

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.