Evidence map›Paper›PMID 26269744›Full record

ArticleJournal of therapeutic ultrasound2015

Development of a high-field MR-guided HIFU setup for thermal and mechanical ablation methods in small animals.

Martijn Hoogenboom, Martinus J van Amerongen, Dylan C Eikelenboom, Melissa Wassink, Martijn H den Brok, Christina Hulsbergen-van de Kaa, Erik Dumont, Gosse J Adema, Arend Heerschap, Jurgen J Fütterer

Abstract read
In one paragraph

Article in Journal of therapeutic ultrasound, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Histotripsy: A Method for Mechanical Tissue Ablation with Ultrasound.Annual review of biomedical engineering · 2024
    Review
  3. Review
  4. The histotripsy spectrum: differences and similarities in techniques and instrumentation.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2023
    Review
  5. Article
  6. Article
  7. A High-Frequency Phased Array System for Transcranial Ultrasound Delivery in Small Animals.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Biomedical optics express · 2017
    Article
  13. Evaluation of MR thermometry with proton resonance frequency method at 7T.Quantitative imaging in medicine and surgery · 2017
    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

10 authors.

Martijn HoogenboomDepartment of Radiology and Nuclear Medicine, Radboud University Medical Center, Geert Grooteplein-Zuid 10, 6500 HB Nijmegen, The Netherlands.
Martinus J van Amerongen *Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Geert Grooteplein-Zuid 10, 6500 HB Nijmegen, The Netherlands.
Dylan C Eikelenboom *Department of Tumor Immunology, Radboud University Medical Center, Nijmegen, The Netherlands.
Melissa WassinkDepartment of Tumor Immunology, Radboud University Medical Center, Nijmegen, The Netherlands.
Martijn H den BrokDepartment of Tumor Immunology, Radboud University Medical Center, Nijmegen, The Netherlands.
Christina Hulsbergen-van de KaaDepartment of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Erik DumontImage Guided Therapy, Pessac, Bordeaux, France.
Gosse J AdemaDepartment of Tumor Immunology, Radboud University Medical Center, Nijmegen, The Netherlands.
Arend HeerschapDepartment of Radiology and Nuclear Medicine, Radboud University Medical Center, Geert Grooteplein-Zuid 10, 6500 HB Nijmegen, The Netherlands.
Jurgen J FüttererDepartment of Radiology and Nuclear Medicine, Radboud University Medical Center, Geert Grooteplein-Zuid 10, 6500 HB Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThermal and mechanical high intensity focused ultrasound (HIFU) ablation techniques are in development for non-invasive treatment of cancer. However, knowledge of in vivo histopathologic and immunologic reactions after HIFU ablation is still limited. This study aims to create a setup for evaluation of different HIFU ablation methods in mouse tumors using high-field magnetic resonance (MR) guidance. An optimized MR-guided-HIFU setup could be used to increase knowledge of the different pathologic and immunologic reactions to different HIFU ablation methods.

methodsThree different HIFU treatment strategies were applied in mouse melanomas (B16): a thermal (continuous wave), a mechanical (5 ms pulsed wave), and an intermediate setting (20 ms pulsed wave) for HIFU ablation, all under MR guidance using a 7 tesla animal MR system. Histopathologic evaluation was performed 3 days after treatment.

resultsThe focus of the ultrasound transducer could accurately be positioned within the tumor under MR image guidance, without substantial damage to the surrounding tissue and skin. All mice retained complete use of the treated leg after treatment. Temperatures of >60, <50, and <44 °C were reached during thermal, intermediate, and mechanical HIFU ablation, respectively. Thermal-treated tumors showed large regions of coagulative necrosis. Tumors of both the mechanical and intermediate groups showed fractionated tissue with islands of necrosis and some pseudocysts with hemorrhage.

conclusionA stable small animal MR-guided HIFU setup was designed and evaluated for follow-up MR imaging and histopathologic responses of the treated tumors. This will facilitate further studies with a larger number of mice for detailed evaluation of the pathologic and immunologic response to different HIFU strategies.

Identifiers

PMID26269744
PMCPMC4533796

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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.