Evidence map›Paper›PMID 34045095›Full record

ArticleUltrasound in medicine & biology2021

Super-Resolution Ultrasound Localization Microscopy on a Rabbit Liver VX2 Tumor Model: An Initial Feasibility Study.

Wei Zhang, Matthew R Lowerison, Zhijie Dong, Rita J Miller, Krista A Keller, Pengfei Song

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ultrasound in medicine & biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. High-Volume Acquisition Rate Nonlinear Imaging Enables Robust 3-D Ultrasound Localization Microscopy.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2025
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  16. Improved Ultrasound Localization Microscopy Based on Microbubble Uncoupling via Transmit Excitation.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2022
    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

6 authors.

Wei ZhangBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Wuhan, China.
Matthew R LowerisonBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Zhijie DongBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Rita J MillerBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Krista A KellerDepartment of Veterinary Clinical Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Pengfei SongBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, IL, USA. Electronic address: songp@illinois.edu.

Funding

Early prediction of colorectal liver metastases treatment response with ultrasound microvessel imagingR00CA214523 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SONG, PENGFEI · 2019 to 2021
$684k
NCI NIH HHS R00 CA214523
6 · The paper itself

Abstract

Ultrasound localization microscopy can image microvasculature in vivo without sacrificing imaging penetration depth. However, the reliance on super-resolution inference limits the applicability of the technique because subpixel tissue motion can corrupt microvascular reconstruction. Consequently, the majority of previous pre-clinical research on this super-resolution procedure has been restricted to low-motion experimental models with ample motion correction or data rejection, which precludes the imaging of organ sites that exhibit a high degree of respiratory and other motion. In this article, we present a novel anesthesia protocol in rabbits that induces safe, controllable periods of apnea to enable the long image-acquisition times required for ultrasound localization microscopy. We apply this protocol to a VX2 liver tumor model undergoing sorafenib therapy and compare the results to super-resolution images from conventional high-dose isoflurane anesthesia. We find that the apneic protocol was necessary to correctly identify the poorly vascularized tumor cores, as verified by immunohistochemistry, and to reveal the tumoral microvascular architecture.

Indexed as

Microscopy, AcousticAnimalsDisease Models, AnimalFeasibility StudiesLiver NeoplasmsMaleRabbitsAnimal modelCancerContrast agentsLiverMicrobubblesMicrovesselsRabbitSuper-resolutionUltrasound localization microscopyVX2

Identifiers

PMID34045095
PMCPMC8278629

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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.