Evidence map›Paper›PMID 36031504›Full record

ArticleUltrasound in medicine & biology2022

Improved Ultrasound Attenuation Estimation with Non-uniform Structure Detection and Removal.

Ping Gong, Chengwu Huang, U-Wai Lok, Shanshan Tang, Wenwu Ling, Chenyun Zhou, Lulu Yang, Kymberly D Watt, Matthew Callstrom, Shigao Chen

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In one paragraph

Article in Ultrasound in medicine & biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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

10 authors.

Ping GongDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Chengwu HuangDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
U-Wai LokDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Shanshan TangDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Wenwu LingDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA; Department of Ultrasound, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Chenyun ZhouDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA; Department of Ultrasound, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Lulu YangDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA; Department of Ultrasound, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Kymberly D WattDepartment of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.
Matthew CallstromDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Shigao ChenDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA. Electronic address: Chen.Shigao@mayo.edu.

Funding

Hepatic Steatosis Quantification with UltrasoundR01DK127978 · NIDDK · MAYO CLINIC ROCHESTER · PI CHEN, SHIGAO · 2022 to 2025
$2.1M
Ultrasound Evaluation of Liver SteatosisR21DK121943 · NIDDK · MAYO CLINIC ROCHESTER · PI CHEN, SHIGAO · 2020 to 2021
$437k
NIDDK NIH HHS R01 DK127978NIDDK NIH HHS R21 DK121943
6 · The paper itself

Abstract

Accurate detection of liver steatosis is important for liver disease management. Ultrasound attenuation coefficient estimation (ACE) has great potential in quantifying liver fat content. The ACE methods commonly assume uniform tissue characteristics. However, in vivo tissues typically contain non-uniform structures, which may bias the attenuation estimation and lead to large standard deviations. Here we propose a series of non-uniform structure detection and removal (NSDR) methods to reduce the impact from non-uniform structures during ACE analysis. The effectiveness of NSDR was validated through phantom and in vivo studies. In a pilot clinical study, ACE with NSDR provided more robust in vivo performance as compared with ACE without NSDR, indicating its potential for in vivo applications.

Indexed as

Fatty LiverNon-alcoholic Fatty Liver DiseaseHumansLiverPhantoms, ImagingPilot ProjectsUltrasonographyFatty liver detectionNon-uniform structure detection and removalUltrasound attenuation estimation

Identifiers

PMID36031504
PMCPMC9529831

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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.