Evidence map›Paper›PMID 35140827›Full record

ArticlePolish journal of radiology2022

The value of the apparent diffusion coefficient value in the Liver Imaging Reporting and Data System (LI-RADS) version 2018.

Gehad Ahmad Saleh, Ahmed Abdel Khalek Abdel Razek, Lamiaa Galal El-Serougy, Walaa Shabana, Rihame Abd El-Wahab

Abstract read
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Article in Polish journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

5 authors.

Gehad Ahmad SalehDepartment of Diagnostic Radiology, Mansoura University, Faculty of Medicine, Mansoura, Egypt.
Ahmed Abdel Khalek Abdel RazekDepartment of Diagnostic Radiology, Mansoura University, Faculty of Medicine, Mansoura, Egypt.
Lamiaa Galal El-SerougyDepartment of Diagnostic Radiology, Mansoura University, Faculty of Medicine, Mansoura, Egypt.
Walaa ShabanaDepartment of Tropical Medicine, Mansoura University, Faculty of Medicine, Mansoura, Egypt.
Rihame Abd El-WahabDepartment of Diagnostic Radiology, Mansoura University, Faculty of Medicine, Mansoura, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess role of the apparent diffusion coefficient (ADC) in the Liver Imaging Reporting and Data System (LI-RADS) version 2018 for the prediction of hepatocellular carcinoma (HCC). MATERIAL AND

methodsRetrospective analysis of 137 hepatic focal lesions in 108 patients at risk of HCC, who underwent magnetic resonance imaging of the liver. Hepatic focal lesions were classified according to LI-RADS-v2018, and ADC of hepatic lesions was calculated by 2 independent blinded reviewers.

resultsThe mean ADC of LR-1 and LR-2 were 2.11 ± 0.47 and 2.08 ± 0.47 × 10

conclusionsInclusion of ADC to LI-RADS-v2018 improves differentiation variable LI-RADS categories and can helps in the prediction of HCC.

Indexed as

abdominal MRI scandiagnostic imaginghepatocellular carcinomaliver cancer

Identifiers

PMID35140827
PMCPMC8814898

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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.