Evidence map›Paper›PMID 36868958›Full record

ArticleUltrasound in medicine & biology2023

Assessment of Transarterial Chemoembolization Using Super-resolution Ultrasound Imaging and a Rat Model of Hepatocellular Carcinoma.

Katherine G Brown, Junjie Li, Ryan Margolis, Brian Trinh, John R Eisenbrey, Kenneth Hoyt

Abstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

6 authors.

Katherine G BrownDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, USA.
Junjie LiDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, USA.
Ryan MargolisDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, USA.
Brian TrinhDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, USA.
John R EisenbreyDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Kenneth HoytDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, USA. Electronic address: kenneth.hoyt@utdallas.edu.

Funding

2D and 3D Contrast-enhanced Ultrasound Evaluation of HCC ChemoembolizationR01CA194307 · NCI · THOMAS JEFFERSON UNIVERSITY · PI John Eisenbrey · 2016 to 2026
$5.3M
Microbubble Cavitation for Improving Hepatocellular Carcinoma RadioembolizationR01CA238241 · NCI · THOMAS JEFFERSON UNIVERSITY · PI ANTON, KEVIN, EISENBREY, JOHN · 2020 to 2024
$1.8M
Multiparametric ultrasound imaging for early detection of nonalcoholic fatty liver diseaseR01DK126833 · NIDDK · UNIVERSITY OF TEXAS DALLAS · PI HOYT, KENNETH · 2021 to 2024
$1.6M
3D Super-Resolution Ultrasound Imaging for Cancer Detection and Treatment MonitoringR01EB025841 · NIBIB · UNIVERSITY OF TEXAS DALLAS · PI HOYT, KENNETH · 2019 to 2022
$1.3M
NCI NIH HHS R01 CA194307NCI NIH HHS R01 CA238241NIBIB NIH HHS R01 EB025841NIDDK NIH HHS R01 DK126833
6 · The paper itself

Abstract

objectiveHepatocellular carcinoma (HCC) is a highly prevalent form of liver cancer diagnosed annually in 600,000 people worldwide. A common treatment is transarterial chemoembolization (TACE), which interrupts the blood supply of oxygen and nutrients to the tumor mass. The need for repeat TACE treatments may be assessed in the weeks after therapy with contrast-enhanced ultrasound (CEUS) imaging. Although the spatial resolution of traditional CEUS has been restricted by the diffraction limit of ultrasound (US), this physical barrier has been overcome by a recent innovation known as super-resolution US (SRUS) imaging. In short, SRUS enhances the visible details of smaller microvascular structures on the 10 to 100 µm scale, which unlocks a host of new clinical opportunities for US.

methodsIn this study, a rat model of orthotopic HCC is introduced and TACE treatment response (to a doxorubicin-lipiodol emulsion) is assessed using longitudinal SRUS and magnetic resonance imaging (MRI) performed at 0, 7 and 14 d. Animals were euthanized at 14 d for histological analysis of excised tumor tissue and determination of TACE response, that is, control, partial response or complete response. CEUS imaging was performed using a pre-clinical US system (Vevo 3100, FUJIFILM VisualSonics Inc.) equipped with an MX201 linear array transducer. After administration of a microbubble contrast agent (Definity, Lantheus Medical Imaging), a series of CEUS images were collected at each tissue cross-section as the transducer was mechanically stepped at 100 μm increments. SRUS images were formed at each spatial position, and a microvascular density metric was calculated. Microscale computed tomography (microCT, OI/CT, MILabs) was used to confirm TACE procedure success, and tumor size was monitored using a small animal MRI system (BioSpec 3T, Bruker Corp.).

resultsAlthough there were no differences at baseline (p > 0.15), both microvascular density levels and tumor size measures from the complete responder cases at 14 d were considerably lower and smaller, respectively, than those in the partial responder or control group animals. Histological analysis revealed tumor-to-necrosis levels of 8.4%, 51.1% and 100%, for the control, partial responder and complete responder groups, respectively (p < 0.005).

conclusionSRUS imaging is a promising modality for assessing early changes in microvascular networks in response to tissue perfusion-altering interventions such as TACE treatment of HCC.

Indexed as

Carcinoma, HepatocellularChemoembolization, TherapeuticLiver NeoplasmsAnimalsContrast MediaRatsTreatment OutcomeUltrasonographyContrast MediaHepatocellular carcinomaMicrobubblesMicrovascular networksSuper-resolution ultrasound imagingTransarterial chemoembolization

Identifiers

PMID36868958
PMCPMC10257127

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.