ArticleNature communications2016
Ferromagnetic particles as magnetic resonance imaging temperature sensors.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Article
- Advances in screening hyperthermic nanomedicines in 3D tumor models.Nanoscale horizons · 2024Review
- Aqueous Dispersion of Manganese-Zinc Ferrite Nanoparticles Protected by PEG as a TInternational journal of molecular sciences · 2023Article
- Harmonic dependence of thermal magnetic particle imaging.Scientific reports · 2023Article
- Synthesis of Manganese Zinc Ferrite Nanoparticles in Medical-Grade Silicone for MRI Applications.International journal of molecular sciences · 2023Article
- Plasma Surface Engineering of Natural and Sustainable Polymeric Derivatives and Their Potential Applications.Polymers · 2023Review
- One-Step Preparation of Highly Stable Copper-Zinc Ferrite Nanoparticles in Water Suitable for MRI Thermometry.Chemistry of materials : a publication of the American Chemical Society · 2022Article
- Magnetic Simulations of Core-Shell Ferromagnetic Bi-Magnetic Nanoparticles: The Influence of Antiferromagnetic Interfacial Exchange.Nanomaterials (Basel, Switzerland) · 2021Article
- Three-dimensional assembly and disassembly of FeMikrochimica acta · 2021Article
- AC magnetometry with active stabilization and harmonic suppression for magnetic nanoparticle spectroscopy and thermometry.Journal of applied physics · 2020Article
- One-Step Synthesis of Long Term Stable Superparamagnetic Colloid of Zinc Ferrite Nanorods in Water.Materials (Basel, Switzerland) · 2019Article
- Magnetic Phase Transition in Spark-Produced Ternary LaFeSi Nanoalloys.ACS applied materials & interfaces · 2018Article
- Development of Ferrite-Based Temperature Sensors for Magnetic Resonance Imaging: A Study of CuPhysical review applied · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Magnetic resonance imaging is an important technique for identifying different types of tissues in a body or spatial information about composite materials. Because temperature is a fundamental parameter reflecting the biological status of the body and individual tissues, it would be helpful to have temperature maps superimposed on spatial maps. Here we show that small ferromagnetic particles with a strong temperature-dependent magnetization, can be used to produce temperature-dependent images in magnetic resonance imaging with an accuracy of about 1 °C. This technique, when further developed, could be used to identify inflammation or tumours, or to obtain spatial maps of temperature in various medical interventional procedures such as hyperthermia and thermal ablation. This method could also be used to determine temperature profiles inside nonmetallic composite materials.
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.