Evidence mapPaperPMID 41311902Full record

ReviewChemical & biomedical imaging2025

Molecular Imaging Probes for Early Detection and Staging of Liver Fibrosis.

Xiuqi Hu, Mengdan Xu, Xiao Xiao, Ning Wang, Qianqian Zhang, Jianxian Ge, Jianfeng Zeng

Abstract readReview
In one paragraph

Review in Chemical & biomedical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. [Scientific reports · 2026
    Article
  2. 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.

Xiuqi HuCenter for Molecular Imaging and Nuclear Medicine, State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China.
Mengdan XuCenter for Molecular Imaging and Nuclear Medicine, State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China.
Xiao XiaoCenter for Molecular Imaging and Nuclear Medicine, State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China.
Ning WangCenter for Molecular Imaging and Nuclear Medicine, State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China.
Qianqian ZhangCenter for Molecular Imaging and Nuclear Medicine, State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China.
Jianxian GeCenter for Molecular Imaging and Nuclear Medicine, State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China.
Jianfeng ZengCenter for Molecular Imaging and Nuclear Medicine, State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China.ORCID https://orcid.org/0000-0001-7654-8724

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver fibrosis, a progressive condition marked by excessive extracellular matrix deposition and activation of hepatic stellate cells, often develops asymptomatically in its early stages, leading to delayed clinical intervention. Conventional imaging techniques typically fail to detect mild fibrosis, resulting in diagnosis only at advanced stages such as cirrhosis, when therapeutic efficacy is significantly compromised. Recent advances in molecular imaging have facilitated the development of targeted contrast agents that enhance diagnostic sensitivity by selectively binding to fibrosis-specific biomarkers or responding to pathological microenvironmental changes. These include both nonresponsive probes that accumulate in fibrotic tissue and activatable probes sensitive to enzymes, small molecules, and other fibrosis-associated signals. This review systematically summarizes these emerging strategies and evaluates their potential for improving early diagnosis, staging accuracy, and therapeutic monitoring, thereby guiding future development and applications in hepatic fibrosis management.

Indexed as

early diagnosisfibrosis biomarkershepatic stellate cellsliver fibrosismolecular imagingnonresponsive probesresponsive probes

Identifiers

PMID41311902
PMCPMC12648424

What Socratic 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 Socratic graph.