Evidence map›Paper›PMID 35970658›Full record

ArticleUltrasound in medicine & biology2022

A Comprehensive Motion Compensation Method for In-Plane and Out-of-Plane Motion in Dynamic Contrast-Enhanced Ultrasound of Focal Liver Lesions.

Thodsawit Tiyarattanachai, Simona Turco, John R Eisenbrey, Corinne E Wessner, Alexandra Medellin-Kowalewski, Stephanie Wilson, Andrej Lyshchik, Aya Kamaya, Ahmed El Kaffas

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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. Cited by 4 papers.

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0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Thodsawit TiyarattanachaiDepartment of Radiology, Stanford University School of Medicine, Stanford, California, USA; Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Simona TurcoDepartment of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
John R EisenbreyDepartment of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Corinne E WessnerDepartment of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Alexandra Medellin-KowalewskiDepartment of Radiology, University of Calgary, Calgary, Alberta, Canada.
Stephanie WilsonDepartment of Radiology, University of Calgary, Calgary, Alberta, Canada; Division of Gastroenterology, Department of Medicine, University of Calgary, Calgary, Alberta, Canada.
Andrej LyshchikDepartment of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Aya KamayaDepartment of Radiology, Stanford University School of Medicine, Stanford, California, USA.
Ahmed El KaffasDepartment of Radiology, Stanford University School of Medicine, Stanford, California, USA. Electronic address: elkaffas@stanford.edu.

Funding

CONTRAST-ENHANCED ULTRASOUND EVALUATION OF FOCAL LIVER LESIONS IN PATIENTS WITH CIRRHOSIS OR OTHER RISK FACTORS FOR DEVELOPING HCCR01CA215520 · NCI · THOMAS JEFFERSON UNIVERSITY · PI LYSHCHIK, ANDREJ · 2017 to 2020
$2.4M
NCI NIH HHS R01 CA215520
6 · The paper itself

Abstract

Contrast-enhanced ultrasound (CEUS) acquisitions of focal liver lesions are affected by motion, which has an impact on contrast signal quantification. We therefore developed and tested, in a large patient cohort, a motion compensation algorithm called the Iterative Local Search Algorithm (ILSA), which can correct for both periodic and non-periodic in-plane motion and can reject frames with out-of-plane motion. CEUS cines of 183 focal liver lesions in 155 patients from three hospitals were used to develop and test ILSA. Performance was evaluated through quantitative metrics, including the root mean square error and R

Indexed as

Contrast MediaLiver NeoplasmsHumansLiverMotionUltrasonographyContrast MediaContrast-enhanced ultrasoundFocal liver lesionMotion compensation

Identifiers

PMID35970658
PMCPMC9529818

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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.