Evidence map›Paper›PMID 36226131›Full record

ArticleProceedings. IEEE International Symposium on Biomedical Imaging2019

Improved quantitative contrast-enhanced ultrasound imaging of hepatocellular carcinoma response to transarterial chemoembolization.

Ipek Oezdemir, Collette Shaw, John R Eisenbrey, Kenneth Hoyt

Abstract read
In one paragraph

Article in Proceedings. IEEE International Symposium on Biomedical Imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. 3-D Super-Resolution Ultrasound Imaging for Monitoring Early Changes in Breast Cancer after Treatment with a Vascular-Disrupting Agent.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2021
    Article
  2. Article
  3. Three-dimensional super-resolution ultrasound imaging of chicken embryos - A validation framework for analysis of microvascular morphology.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2020
    Article
  4. Article
  5. Faster motion correction of clinical contrast-enhanced ultrasound imaging using deep learning.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2020
    Article
  6. Article
  7. Multiscale quantification of tumor microarchitecture for predicting therapy response using dynamic contrast-enhanced ultrasound imaging.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2019
    Article
  8. Contrast-enhanced ultrasound imaging of acute changes in pancreatic cancer following targeted hyaluronan treatment.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2019
    Article
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

4 authors.

Ipek OezdemirDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, USA.
Collette ShawDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
John R EisenbreyDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Kenneth HoytDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, USA.

Funding

2D and 3D Contrast-enhanced Ultrasound Evaluation of HCC ChemoembolizationR01CA194307 · NCI · THOMAS JEFFERSON UNIVERSITY · PI John Eisenbrey · 2016 to 2026
$5.3M
Molecular Ultrasound Imaging of Cancer Response to Antiangiogenic TherapyK25EB017222 · NIBIB · UNIVERSITY OF TEXAS DALLAS · PI HOYT, KENNETH · 2014 to 2018
$804k
Noninvasive Pressure Estimation in Breast Cancer using UltrasoundR21CA212851 · NCI · UNIVERSITY OF TEXAS DALLAS · PI HOYT, KENNETH · 2017 to 2018
$366k
NCI NIH HHS R01 CA194307NCI NIH HHS R21 CA212851NIBIB NIH HHS K25 EB017222
6 · The paper itself

Abstract

The purpose of this research project was to improve the quantification of microvascular networks depicted in contrast-enhanced ultrasound (CEUS) images of human hepatocellular carcinoma (HCC). Due to limited anatomical information in CEUS images, grayscale B-mode ultrasound (US) data is preferred when estimating tissue motion. Transformation functions derived from the B-mode data are one solution for registering a dynamic sequence of CEUS images. Microvessel density (MVD) can then be calculated from both the original and motion corrected CEUS images as the ratio of the number of contrast-enhanced image pixels with a value greater than zero to the number of pixels of the entire tumor space. Using US images of HCC before and after treatment with transarterial chemoembolization, results revealed that affine and non-rigid motion correction improves visualization and quantitative analysis of clinical data. Using the correlation coefficient (CC) between CEUS frames as metric of tissue motion, our motion correction strategy produced a 20% increase in the average CC from motion corrected frames compared to the data before correction (

Indexed as

cancercontrast-enhanced ultrasoundimage registrationmicrobubble contrast agentsmicrovascular networksmotion correction

Identifiers

PMID36226131
PMCPMC9552683

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.