Evidence map›Paper›PMID 30232020›Full record

ReviewUltrasound in medicine & biology2018

Quantitative Hepatic Fat Quantification in Non-alcoholic Fatty Liver Disease Using Ultrasound-Based Techniques: A Review of Literature and Their Diagnostic Performance.

Arinc Ozturk, Joseph R Grajo, Michael S Gee, Alex Benjamin, Rebecca E Zubajlo, Kai E Thomenius, Brian W Anthony, Anthony E Samir, Manish Dhyani

Abstract readEvaluation StudyReview
In one paragraph

Review in Ultrasound in medicine & biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 3 pooled it
–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

55 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

9 authors.

Arinc OzturkCenter for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Joseph R GrajoDivision of Abdominal Imaging, Department of Radiology, University of Florida College of Medicine, Gainesville, Florida, USA.
Michael S GeeDivision of Pediatric Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Alex BenjaminDevice Realization and Computational Instrumentation Laboratory, Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Rebecca E ZubajloDevice Realization and Computational Instrumentation Laboratory, Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Kai E ThomeniusDevice Realization and Computational Instrumentation Laboratory, Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Brian W AnthonyDevice Realization and Computational Instrumentation Laboratory, Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Anthony E SamirCenter for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Manish DhyaniCenter for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA; (¶) Department of Radiology, Lahey Hospital & Medical Center, Burlington, Massachusetts, USA. Electronic address: manishdhyani@icloud.com.

Funding

Reducing Variability in Hepatic Shear Wave ElastographyK23EB020710 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI SAMIR, ANTHONY EDWARD · 2016 to 2019
$781k
NIBIB NIH HHS HHSN268201300071CNIBIB NIH HHS K23 EB020710
6 · The paper itself

Abstract

Non-alcoholic fatty liver disease is a condition that is characterized by the presence of >5% fat in the liver and affects more than one billion people worldwide. If adequate and early precautions are not taken, non-alcoholic fatty liver disease can progress to cirrhosis and death. The current reference standard for detecting hepatic steatosis is a liver biopsy. However, because of the potential morbidity associated with liver biopsies, non-invasive imaging biomarkers have been extensively investigated. Magnetic resonance imaging-based methods have proven accuracy in quantifying liver steatosis; however, these techniques are costly and have limited availability. Ultrasound-based quantitative imaging techniques are increasingly utilized because of their widespread availability, ease of use and relative cost-effectiveness. Several ultrasound-based liver fat quantification techniques have been investigated, including techniques that measure changes in the acoustic properties of the liver caused by the presence of fat. In this review, we focus on quantitative ultrasound approaches and their diagnostic performance in the realm of non-alcoholic fatty liver disease.

Indexed as

Evaluation Studies as TopicHumansLiverNon-alcoholic Fatty Liver DiseaseReproducibility of ResultsSeverity of Illness IndexUltrasonographyAttenuationBackscatterControlled-attenuation parameterNon-alcoholic fatty liver diseaseQuantitativeSpeed of soundUltrasound

Identifiers

PMID30232020
PMCPMC6628698

What OpenQuestion holds

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Registered trials

None linked

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.