Evidence map›Paper›PMID 32944594›Full record

ArticleEuropean journal of radiology open2020

Dynamic Hepatocellular Carcinoma Model Within a Liver Phantom for Multimodality Imaging.

Muntaser S Ahmad, Nursakinah Suardi, Ahmad Shukri, Nik Noor Ashikin Nik Ab Razak, Ammar A Oglat, Osama Makhamrah, Hjouj Mohammad

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In one paragraph

Article in European journal of radiology open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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

7 authors.

Muntaser S AhmadSchool of Physics, Universiti Sains Malaysia, 11800, Penang, Malaysia.
Nursakinah SuardiSchool of Physics, Universiti Sains Malaysia, 11800, Penang, Malaysia.
Ahmad ShukriSchool of Physics, Universiti Sains Malaysia, 11800, Penang, Malaysia.
Nik Noor Ashikin Nik Ab RazakSchool of Physics, Universiti Sains Malaysia, 11800, Penang, Malaysia.
Ammar A OglatDepartment of Medical Imaging, Faculty of Applied Medical Sciences, Hashemite University, Zarqa, Jordan.
Osama MakhamrahMedical Imaging Department, Faculty of Health Professions, Al-Quds University, Jerusalem, Palestine.
Hjouj MohammadMedical Imaging Department, Faculty of Health Professions, Al-Quds University, Jerusalem, Palestine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHepatocellular carcinoma (HCC) is one of the most common cancer in the world, and the effectiveness of its treatment lies in its detection in its early stages. The aim of this study is to mimic HCC dynamically through a liver phantom and apply it in multimodality medical imaging techniques including magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound. METHODS AND MATERIALS: The phantom is fabricated with two main parts, liver parenchyma and HCC inserts. The liver parenchyma was fabricated by adding 2.5 wt% of agarose powder combined with 2.6 wt% of wax powder while the basic material for the HCC samples was made from polyurethane solution combined with 5 wt% glycerol. Three HCC samples were inserted into the parenchyma by using three cylinders implanted inside the liver parenchyma. An automatic injector is attached to the input side of the cylinders and a suction device connected to the output side of the cylinders. After the phantom was prepared, the contrast materials were injected into the phantom and imaged using MRI, CT, and ultrasound.

resultsBoth HCC samples and liver parenchyma were clearly distinguished using the three imaging modalities: MRI, CT, and ultrasound. Doppler ultrasound was also applied through the HCC samples and the flow pattern was observed through the samples.

conclusionA multimodal dynamic liver phantom, with HCC tumor models have been fabricated. This phantom helps to improve and develop different methods for detecting HCC in its early stages.

Indexed as

CTDynamic phantomHCCLiver phantomMRI

Identifiers

PMID32944594
PMCPMC7481524

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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.