ArticleJournal of medical ultrasound
A High Intensity Focused Ultrasound System for Veterinary Oncology Applications.
Article in Journal of medical ultrasound. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Pilot Study of Partial Tumor Ablation Using Thermal High-Intensity Focused Ultrasound (HIFU) in Feline Soft Tissue Sarcomas.Animals : an open access journal from MDPI · 2026Article
- Veterinary pilot study on focused ultrasound treatment of spontaneous canine and feline tumours: technical and feasibility assessment.Journal of ultrasound · 2025Article
- Preclinical robotic device for magnetic resonance imaging guided focussed ultrasound.The international journal of medical robotics + computer assisted surgery : MRCAS · 2023Article
- Robotic device for transcranial focussed ultrasound applications in small animal models.The international journal of medical robotics + computer assisted surgery : MRCAS · 2022Article
- High intensity focused ultrasound for the treatment of solid tumors: a pilot study in canine cancer patients.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2022Article
- Estimation of the Proton Resonance Frequency Coefficient in Agar-based Phantoms.Journal of medical physicsArticle
- Magnetic Resonance Thermometry of Focused Ultrasound Using a Preclinical Focused Ultrasound Robotic System at 3T.Journal of medical physicsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMagnetic resonance-guided focused ultrasound surgery is an incisionless energy-based thermal method that is used for ablating tumors in the veterinary clinic. AIMS AND
objectivesIn this article we describe a prototype of a veterinary system compatible with magnetic resonance imaging intended for small-to-medium-sized companion animals that was developed and tested
methodsReal-time monitoring of the ablation during the experiment was possible with MR thermometry. Experiments involved thermal monitoring of sonications applied in the thigh of the rabbits. A 38-mm diameter transducer operating at 2.6 MHz was used with a 60-mm-focal length. The robotic system employed 3 linear axes and one angular axis. For this study, only X and Y axis were enabled. Due to the target size limitations, motion in Z and Θ was not needed. The functionality of the positioning device was evaluated by means of MR thermometry, demonstrating sufficient heating and accurate motion in both axes of operation.
resultsThe postmortem findings confirm the ability of the system to induce thermal ablations
conclusionsThe device is a reliable and affordable solution for companion animal hospitals, offering and additional tool for the veterinary oncology society.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.