Evidence map›Paper›PMID 39108190›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2024

Pulsed MPI Relaxometry of Brownian and Néel Field-Dependent Relaxation in Superparamagnetic Magnetite Nanoparticles Confirm Theory and Simulations.

Chinmoy Saayujya, Khadija Yousuf, Yiyan Hao, Allison Hartley, Kim Hwang Yeo, Arvind Swamynathan, Justin Garlepp, Quincy Huynh, Zhi Wei Tay, Prashant Chandrasekharan and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Chinmoy SaayujyaDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, 94720, CA, USA.ORCID https://orcid.org/0000-0001-6125-8986
Khadija YousufDepartment of Bioengineering, University of California, Berkeley, 94720, California, USA.
Yiyan HaoCollege of Computing, Data Science, and Society, University of California, Berkeley, 94720, CA, USA.
Allison HartleyDepartment of Bioengineering, University of California, Berkeley, 94720, California, USA.
Kim Hwang YeoDepartment of Bioengineering, University of California, Berkeley, 94720, California, USA.
Arvind SwamynathanDepartment of Bioengineering, University of California, Berkeley, 94720, California, USA.
Justin GarleppDepartment of Bioengineering, University of California, Berkeley, 94720, California, USA.
Quincy HuynhDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, 94720, CA, USA.
Zhi Wei TayHealth and Medical Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, 305-8564, Ibaraki, Japan.
Prashant ChandrasekharanDepartment of Bioengineering, University of California, Berkeley, 94720, California, USA.
Benjamin FellowsMagnetic Insight, Inc., Alameda, 94502, CA, USA.
Irati RodrigoDepartment of Bioengineering, University of California, Berkeley, 94720, California, USA.
Steven M ConollyDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, 94720, CA, USA.

Funding

Ten-Fold Resolution Boost for Magnetic Particle Imaging with Applications to Rapid, Non-Invasive Imaging of CAR-T Cell Therapies, Stroke, GI Bleeds and Pulmonary EmbolismsU01EB034694 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI STEVEN M CONOLLY · 2023 to 2026
$2.7M
In Vivo Therapeutic Cell Tracking by Advanced Magnetic Particle ImagingR01EB024578 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI CONOLLY, STEVEN M · 2017 to 2020
$2.2M
Stem Cell Engineering Training ProgramT32GM098218 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HEALY, KEVIN EDWARD, SCHAFFER, DAVID V · 2011 to 2020
$1.8M
Color MPI as a novel method for in vivo assessment of magnetic nanoparticle dynamics and bindingR44EB029877 · NIBIB · MAGNETIC INSIGHT, INC. · PI GOODWILL, PATRICK · 2020 to 2021
$1.6M
Magnetic Particle Imaging for High-Resolution Functional Brain ImagingR01EB029822 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI CONOLLY, STEVEN M · 2020 to 2020
$815k
Barbara and Gerson Bakar FoundationFoundation for the National Institutes of Health R01-EB024578Foundation for the National Institutes of Health R01-EB029822Foundation for the National Institutes of Health R44-EB029877Foundation for the National Institutes of Health T32-GM098218Foundation for the National Institutes of Health U01-EB034694National Science Foundation Graduate Research Fellowship ProgramNIBIB NIH HHS R01 EB024578NIBIB NIH HHS R01 EB029822NIBIB NIH HHS R44 EB029877NIBIB NIH HHS U01 EB034694NIGMS NIH HHS T32 GM098218University of California Berkeley Montford G. Cook Chair
6 · The paper itself

Abstract

Superparamagnetic iron oxide nanoparticles (SPIOs) are used as tracers in Magnetic Particle Imaging (MPI). It is crucial to understand the magnetic properties of SPIOs for optimizing MPI imaging contrast, resolution, and sensitivity. Brownian and Néel relaxation theory developed in the early 1950s posits that relaxation times can vary with particle size, shell thickness, medium viscosity, and the applied field strength. Magnetic relaxation can soon provide a unique imaging capability, the ability to distinguish bound from unbound MPI tracers in vivo. Yet experimental validation of these theories has not been completed. In this paper, a novel method of pulsed magnetic field relaxometry is used to directly probe the relaxation behavior of superparamagnetic magnetite nanoparticles over a spectrum of magnetic field amplitudes, providing the first experimental validation of theoretical relaxation models. It is also shown that closed-form approximations generated in the early 1970s accurately match both data and numerical Fokker Planck computational models, which are computationally burdensome. This means researchers can trust these approximations for future modeling. All the findings can be translated to sinusoidal excitations used in conventional MPI scanning trajectories.

Indexed as

magnetic particle imagingpulsed relaxometryrelaxationsuperparamagnetism

Identifiers

PMID39108190
PMCPMC11530308

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

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 Socratic graph.