Evidence map›Paper›PMID 38770382›Full record

ArticleRadiology case reports2024

Radiopathologic findings of multifocal nodular hepatic steatosis.

Mouhamed Diop, Sandeep Sharma, Michael Samuel, Jacob Byers, Alexander McGeough, Shaun Wahab, Ali Kord

Abstract readCase Reports
In one paragraph

Article in Radiology case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mouhamed DiopDivision of Interventional Radiology, Department of Radiology, University of Cincinnati, Cincinnati, OH, USA.
Sandeep SharmaDivision of Interventional Radiology, Department of Radiology, University of Cincinnati, Cincinnati, OH, USA.
Michael SamuelDivision of Interventional Radiology, Department of Radiology, University of Cincinnati, Cincinnati, OH, USA.
Jacob ByersDivision of Interventional Radiology, Department of Radiology, University of Cincinnati, Cincinnati, OH, USA.
Alexander McGeoughDepartment of Pathology, University of Cincinnati, Cincinnati, OH, USA.
Shaun WahabDivision of Abdominal Imaging, Department of Radiology, University of Cincinnati, Cincinnati, OH, USA.
Ali KordDivision of Interventional Radiology, Department of Radiology, University of Cincinnati, Cincinnati, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multifocal nodular hepatic steatosis (MFNHS) is a rare benign clinical entity mimicking metastatic disease. This study is designed to describe the imaging and histopathologic findings and clinical course of patients with MFNHS. In this retrospective study during 2005 and 2023, 10 patients with an imaging and pathologic diagnosis of MFNHS were included. The imaging and histopathology findings were reviewed in each case. The follow-up images were reviewed to assess the clinical course of the disease. The mean age was 50.0 ± 10.5 years, and the male-to-female ratio was 4:6. Three patients had a past medical history of cancer. All patients were found to have lesions suspicious of malignancy on either ultrasound (US) or computed tomography (CT) requiring further workup. Six patients underwent magnetic resonance imaging (MRI), and 4 patients underwent an image-guided biopsy which resulted in hepatic steatosis. During the follow-up period, the majority of patients (71.5%) remained unchanged or improved, while 2 patients (28.5%) progressed. MRI is a reliable modality in detecting and characterizing MFNHS and should be considered to further assess multiple hepatic lesions in cases where the clinical suspicion is not high for metastasis.

Indexed as

Magnetic resonance imagingMetastasisMultifocal nodular hepatic steatosis

Identifiers

PMID38770382
PMCPMC11103360

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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.