Evidence map›Paper›PMID 42481622›Full record

ArticleNpj imaging2026

Magnetic particle imaging tracers for human applications: preclinical in vivo evaluation of Magtrace, Resotran, and FerroTrace.

Olivia C Sehl, Nitara Fernando, Petrina Kim, A Rahman Mohtasebzadeh, Toby Sanders, Kelvin Guo, Benjamin Fellows, Michael D Alvarado, Benjamin Thierry, Marcela Weyhmiller and 4 more

Abstract read
In one paragraph

Article in Npj imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Olivia C SehlMagnetic Insight Inc, Alameda, CA, USA. osehl@uwo.ca.
Nitara FernandoDepartment of Medical Biophysics, Western University, Robarts Research Institute, London, ON, Canada.
Petrina KimMagnetic Insight Inc, Alameda, CA, USA.
A Rahman MohtasebzadehMagnetic Insight Inc, Alameda, CA, USA.
Toby SandersMagnetic Insight Inc, Alameda, CA, USA.
Kelvin GuoMagnetic Insight Inc, Alameda, CA, USA.
Benjamin FellowsMagnetic Insight Inc, Alameda, CA, USA.
Michael D AlvaradoDepartment of Surgery, University of California San Francisco, San Francisco, CA, USA.
Benjamin ThierryFuture Industries Institute, Adelaide University, Adelaide, Australia.
Marcela WeyhmillerMagnetic Insight Inc, Alameda, CA, USA.
Joan M GreveMagnetic Insight Inc, Alameda, CA, USA.
Stephen Y LaiDepartment of Head and Neck Surgery, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Patrick W GoodwillMagnetic Insight Inc, Alameda, CA, USA.
Paula J FosterDepartment of Medical Biophysics, Western University, Robarts Research Institute, London, ON, Canada.

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
Development of a prototype clinical theranostic platform combining Magnetic Particle Imaging (MPI) and Magnetic Fluid Hyperthermia (MFH) for the treatment of brain tumorsR44CA285064 · NCI · MAGNETIC INSIGHT, INC. · PI GOODWILL, PATRICK · 2023 to 2024
$2.0M
Ultra-low distortion and noise electronics to enable a clinical MPI imaging platformR44EB035078 · NIBIB · MAGNETIC INSIGHT, INC. · PI GOODWILL, PATRICK · 2023 to 2024
$2.0M
Phase II: Development of a Neurovascular Magnetic Particle Imaging system with sub-millimeter resolution and real time speed for non-radiative 3D perfusion angiographyR44DA041814 · NIDA · MAGNETIC INSIGHT, INC. · PI GOODWILL, PATRICK, WINTERMARK, MAX · 2019 to 2020
$1.8M
Phase II: Commercialization of a preclinical Magnetic Particle Imaging system with sub-millimeter resolution, nano-molar sensitivity, and integrated CTR44EB020463 · NIBIB · MAGNETIC INSIGHT, INC. · PI GOODWILL, PATRICK, WINTERMARK, MAX · 2018 to 2019
$1.5M
NCI NIH HHS R44 CA285064NIBIB NIH HHS R44 EB020463NIBIB NIH HHS R44 EB035078NIBIB NIH HHS U01 EB034694NIDA NIH HHS R44 DA041814
6 · The paper itself

Abstract

Sentinel lymph node (SLN) mapping is essential for cancer staging and treatment planning. Superparamagnetic iron oxides (SPIOs) are used for magnetic SLN localization in breast cancer and are being explored in cancers with complex lymphatic drainage pathways. Magnetic particle imaging (MPI) directly detects SPIOs and has demonstrated feasibility for quantitative lymphography in mouse models. However, most MPI studies have relied on preclinical SPIO formulations not intended for human use. Here, we evaluated three clinically available or investigational SPIOs for MPI, including Magtrace, Resotran, and FerroTrace. SPIOs were characterized in vitro using 2D MPI and relaxometry, benchmarked against the preclinical standard VivoTrax. Magtrace and Resotran demonstrated in vitro performance comparable to VivoTrax, whereas FerroTrace exhibited lower peak signal and resolution by relaxometry. In vivo longitudinal MPI lymphography was performed in healthy C57BL/6 mice following intradermal injection of SPIOs. Magtrace and FerroTrace produced robust lymph node labeling, with MPI signal persisting for at least four weeks across all SPIOs. Feasibility of clinical-scale MPI for complex lymphatic mapping was demonstrated using a human-sized head-and-neck phantom modeling bilateral lymphatic drainage. Together, these results establish Magtrace, Resotran, and FerroTrace as suitable magnetic tracers for MPI lymphography and support their use in future human MPI applications.

Identifiers

PMID42481622
PMCPMC13388925

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.