Evidence map›Paper›PMID 36589457›Full record

ReviewFrontiers in physiology2022

Magnetic resonance imaging for characterization of hepatocellular carcinoma metabolism.

Lixia Wang, Ju Dong Yang, Charles C Yoo, Keane K Y Lai, Jonathan Braun, Dermot P B McGovern, Yibin Xie, Stephen J Pandol, Shelly C Lu, Debiao Li

Registry-linked trialOpen access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06999174 (Multiparametric MRI for Optimized Imaging-based Characterization and Therapy Management of Hepatocellular Carcinoma), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 45% 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.

NCT06999174 recruitingnot on this mapstarted 2025, after this paper: background citation

Multiparametric MRI for Optimized Imaging-based Characterization and Therapy Management of Hepatocellular Carcinoma

TypeobservationalSponsorUniversity Hospital MuensterRan2025 to 2028Enrolled128ConditionsHepatocellular Carcinoma (HCC)ArmsMultiparametric MRI
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
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

10 authors at 3 institutions in 1 country.

Lixia WangBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Ju Dong YangSamuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Charles C YooOffice of the Medical Director 1st MRI, Los Angeles, CA, United States.
Keane K Y LaiDepartment of Molecular Medicine, Beckman Research Institute of City of Hope and City of Hope Comprehensive Cancer Center, Duarte, CA, United States.
Jonathan BraunF. Widjaja Inflammatory Bowel Disease Institute, Division of Digestive and Liver Diseases, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Dermot P B McGovernF. Widjaja Inflammatory Bowel Disease Institute, Division of Digestive and Liver Diseases, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Yibin XieBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Stephen J PandolDivision of Digestive and Liver Diseases, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Shelly C LuKarsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Debiao LiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Cedars-Sinai Medical Center · USCity of Hope · USOffice of the Director · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With a better understanding of the pathophysiological and metabolic changes in hepatocellular carcinoma (HCC), multiparametric and novel functional magnetic resonance (MR) and positron emission tomography (PET) techniques have received wide interest and are increasingly being applied in preclinical and clinical research. These techniques not only allow for non-invasive detection of structural, functional, and metabolic changes in malignant tumor cells but also characterize the tumor microenvironment (TME) and the interactions of malignant tumor cells with the TME, which has hypoxia and low pH, resulting from the Warburg effect and accumulation of metabolites produced by tumor cells and other cellular components. The heterogeneity and complexity of the TME require a combination of images with various parameters and modalities to characterize tumors and guide therapy. This review focuses on the value of multiparametric magnetic resonance imaging and PET/MR in evaluating the structural and functional changes of HCC and in detecting metabolites formed owing to HCC and the TME.

Indexed as

hepatocellular carcinomahypoxiamagnetic resonance imagingmetabolismpositron emission tomography/MRtumor micro environment

Identifiers

PMID36589457
PMCPMC9800006
OpenAlexW4311515879

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.