Evidence map›Paper›PMID 34738743›Full record

ReviewHepatology communications2022

Molecular Imaging of Tumor Microenvironment to Assess the Effects of Locoregional Treatment for Hepatocellular Carcinoma.

Quan Chen, Austin Z Chen, Guorong Jia, Jindian Li, Chuansheng Zheng, Kai Chen

Open access · goldAbstract readReview
In one paragraph

Review in Hepatology communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Assessment of viable tumours by [European journal of nuclear medicine and molecular imaging · 2025
    Article
  7. Review
  8. [Current status and new advancements in molecular imaging of liver cancer].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2024
    Review
  9. [Research progress and prospects of the application of radiographic imaging in the precise diagnosis and treatment of hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. 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

6 authors at 2 institutions in 2 countries.

Quan ChenDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0001-6360-5953
Austin Z ChenDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Guorong JiaDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Jindian LiDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Chuansheng ZhengDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-2435-1417
Kai ChenDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-8647-1182
University of Southern California · USUnion Hospital · CN

Funding

USC RESEARCH CENTER FOR LIVER DISEASES: PILOT PROGRAMSP30DK048522 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI OOKHTENS, MURAD · 1995 to 2020
$21.8M
NIDDK NIH HHS P30 DK048522
6 · The paper itself

Abstract

Liver cancer is one of the leading causes of cancer deaths worldwide. Among all primary liver cancers, hepatocellular carcinoma (HCC) is the most common type, representing 75%-85% of all primary liver cancer cases. Median survival following diagnosis of HCC is approximately 6 to 20 months due to late diagnosis in its course and few effective treatment options. Interventional therapy with minimal invasiveness is recognized as a promising treatment for HCC. However, due to the heterogeneity of HCC and the complexity of the tumor microenvironment, the long-term efficacy of treatment for HCC remains a challenge in the clinic. Tumor microenvironment, including factors such as hypoxia, angiogenesis, low extracellular pH, interstitial fluid pressure, aerobic glycolysis, and various immune responses, has emerged as a key contributor to tumor residual and progression after locoregional treatment for HCC. New approaches to noninvasively assess the treatment response and assist in the clinical decision-making process are therefore urgently needed. Molecular imaging tools enabling such an assessment may significantly advance clinical practice by allowing real-time optimization of treatment protocols for the individual patient. This review discusses recent advances in the application of molecular imaging technologies for noninvasively assessing changes occurring in the microenvironment of HCC after locoregional treatment.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsHumansMolecular ImagingNeovascularization, PathologicTumor Microenvironment

Identifiers

PMID34738743
PMCPMC8948593
OpenAlexW3209702733

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.