Evidence map›Paper›PMID 37538109›Full record

ArticleFrontiers in oncology2023

Survival prediction of hepatocellular carcinoma by measuring the extracellular volume fraction with single-phase contrast-enhanced dual-energy CT imaging.

Yan Chen, Kexin Shi, Zhen Li, Huixia Wang, Nana Liu, Pengchao Zhan, Xing Liu, Bo Shang, Ping Hou, Jianbo Gao and 1 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Review
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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

11 authors.

Yan ChenDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Kexin ShiDepartment of Clinical Medicine, Henan Medical School of Zhengzhou University, Zhengzhou, Henan, China.
Zhen LiDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Huixia WangDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Nana LiuDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Pengchao ZhanDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xing LiuDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Bo ShangDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Ping HouDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Jianbo GaoDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Peijie LyuDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to investigate the value of quantified extracellular volume fraction (fECV) derived from dual-energy CT (DECT) for predicting the survival outcomes of patients with hepatocellular carcinoma (HCC) after transarterial chemoembolization (TACE). Materials and methods: A total of 63 patients with HCC who underwent DECT before treatment were retrospectively included. Virtual monochromatic images (VMI) (70 keV) and iodine density images (IDI) during the equilibrium phase (EP) were generated. The tumor VMI-fECV and IDI-fECV were measured and calculated on the whole tumor (Whole) and maximum enhancement of the tumor (Maximum), respectively. Univariate and multivariate Cox models were used to evaluate the effects of clinical and imaging predictors on overall survival (OS) and progression-free survival (PFS). Results: The correlation between tumor VMI-fECV and IDI-fECV was strong (both Conclusion: The quantified fECV determined by the equilibrium-phase contrast-enhanced DECT can potentially predict the survival outcomes of patients with HCC following TACE treatment.

Indexed as

dual-energyextracellular volumehepatocellular carcinomamultidetector computed tomographyprognosis factors

Identifiers

PMID37538109
PMCPMC10394647

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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.