Evidence map›Paper›PMID 22104962›Full record

ArticleInvestigative radiology2012

Quantitative mapping of tumor vascularity using volumetric contrast-enhanced ultrasound.

Kenneth Hoyt, Anna Sorace, Reshu Saini

Abstract read
In one paragraph

Article in Investigative radiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

42 citing papers in PubMed, 87 citations in OpenAlex.

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  7. 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
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  11. Three-dimensional evaluation of microvascular networks using contrast-enhanced ultrasound and microbubble tracking.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2020
    Article
  12. Faster motion correction of clinical contrast-enhanced ultrasound imaging using deep learning.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2020
    Article
  13. Article
  14. Contrast-enhanced ultrasound imaging of acute changes in pancreatic cancer following targeted hyaluronan treatment.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2019
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  15. 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
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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

3 authors at 1 institution in 1 country.

Kenneth HoytDepartment of Radiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA. hoyt@uab.edu
Anna Sorace
Reshu Saini
University of Alabama at Birmingham · US

Funding

XRAY CRYSTALLOGRAPHYP30CA013148 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Robert S Welner · 1985 to 2026
$165.9M
UAB Rexinoids for Breast Cancer PreventionP50CA089019 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GRIZZLE, WILLIAM E. · 2000 to 2011
$26.0M
NCI NIH HHS 5P50CA089019NCI NIH HHS CA13148NCI NIH HHS P30 CA013148NCI NIH HHS P50 CA089019
6 · The paper itself

Abstract

objectiveThe goal of this research project was to develop a volumetric strategy for real-time monitoring and characterization of tumor blood flow using microbubble contrast agents and ultrasound (US) imaging. MATERIALS AND

methodsVolumetric contrast-enhanced US (VCEUS) imaging was implemented on a SONIX RP US system (Ultrasonix Medical Corp, Richmond, BC) equipped with a broadband 4DL14-5/38 probe. Using a microbubble-sensitive harmonic imaging mode (transducer transmits at 5 MHz and receives at 10 MHz), acquisition of postscan-converted VCEUS data was achieved at a volume rate of 1 Hz. After microbubble infusion, custom data processing software was used to derive microbubble time-intensity curve-specific parameters, namely, blood volume (IPK), transit time (T1/2PK), flow rate (SPK), and tumor perfusion (AUC).

resultsUsing a preclinical breast cancer animal model, it is shown that millimeter-sized deviations in transducer positioning can have profound implications on US-based blood flow estimators, with errors ranging from 6.4% to 40.3% and dependent on both degree of misalignment (offset) and particular blood flow estimator. These errors indicate that VCEUS imaging should be considered in tumor analyses, because they incorporate the entire mass and not just a representative planar cross-section. After administration of an antiangiogenic therapeutic drug (bevacizumab), tumor growth was significantly retarded compared with control tumors (P > 0.03) and reflects observed changes in VCEUS-based blood flow measurements. Analysis of immunohistologic data revealed no differences in intratumoral necrosis levels (P = 0.70), but a significant difference was found when comparing microvessel density counts in control with therapy group tumors (P = 0.05).

conclusionsVCEUS imaging was shown to be a promising modality for monitoring changes in tumor blood flow. Preliminary experimental results are encouraging, and this imaging modality may prove clinically feasible for detecting and monitoring the early antitumor effects in response to cancer drug therapy.

Indexed as

Contrast MediaMicrobubblesAnimalsFemaleHemodynamicsHumansMiceMice, NudeNeoplasmsNeovascularization, PathologicPerfusion ImagingUltrasonographyContrast Media

Identifiers

PMID22104962
PMCPMC3288214
OpenAlexW2065355090

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.