Evidence map›Paper›PMID 36275174›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2019

Morphological image processing for multiscale analysis of super-resolution ultrasound images of tissue microvascular networks.

Ipek Özdemir, Kenneth Hoyt

Open access · greenAbstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 35% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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
  3. Faster motion correction of clinical contrast-enhanced ultrasound imaging using deep learning.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2020
    Article
  4. 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
  5. 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
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

2 authors at 2 institutions in 1 country.

Ipek ÖzdemirDept. of Bioengineering, Univ. of Texas at Dallas, 800 W. Campbell Rd., Richardson, TX 75080.
Kenneth HoytDept. of Bioengineering, Univ. of Texas at Dallas, 800 W. Campbell Rd., Richardson, TX 75080.
The University of Texas at Dallas · USThe University of Texas Southwestern Medical Center · US

Funding

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 R21 CA212851NIBIB NIH HHS K25 EB017222
6 · The paper itself

Abstract

Diabetes is a major disease and known to impair microvascular recruitment due to insulin resistance. Previous quantifications of the changes in microvascular networks at the capillary level were being performed with either full or manually selected region-of-interests (ROIs) from super-resolution ultrasound (SR-US) images. However, these approaches were imprecise, time-consuming, and unsuitable for automated processes. Here we provided a custom software solution for automated multiscale analysis of SR-US images of tissue microvascularity patterns. An Acuson Sequoia 512 ultrasound (US) scanner equipped with a 15L8-S linear array transducer was used in a nonlinear imaging mode to collect all data. C57BL/6J male mice fed standard chow and studied at age 13-16 wk comprised the lean group (

Indexed as

diabetesmicrovascular networksmorphological image processingmultiscale vessel enhancementperfusion parametersrestricted ROIskeletal muscle tissueSR-US imaging

Identifiers

PMID36275174
PMCPMC9584653
OpenAlexW2921992042

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.