Evidence map›Paper›PMID 42351881›Full record

ReviewBioengineering (Basel, Switzerland)2026

Magnetic Particle Imaging for Pulmonary Applications: Technological Advances, Biological Insights, and Clinical Translation.

Shiva Toumaj, Ahmed Afifi, Muhiddin Dervis, Doaa Mashaly, Abdallah Abudraz, Abdulahi Hassan, Mohamad Rustm, Sachin Jambawalikar, Muhammad Umair

Abstract readReview
In one paragraph

Review in Bioengineering (Basel, Switzerland), 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

9 authors.

Shiva ToumajFaculty of Medicine, Urmia University of Medical Sciences, Urmia 51369-67765, Iran.ORCID 0000-0002-4828-9427
Ahmed AfifiFaculty of Medicine, Benha University, Benha 13518, Egypt.
Muhiddin DervisFaculty of Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02215, USA.
Doaa MashalyFaculty of Medicine, October 6 University, Giza 12585, Egypt.ORCID 0009-0009-4178-2874
Abdallah AbudrazFaculty of Medicine, Ankara Yildrim Beyazit University, Ankara 06800, Turkey.
Abdulahi HassanFaculty of Medicine, Ankara Yildrim Beyazit University, Ankara 06800, Turkey.ORCID 0009-0003-3403-1737
Mohamad RustmFaculty of Medicine, Ankara Yildrim Beyazit University, Ankara 06800, Turkey.ORCID 0009-0005-9475-7171
Sachin JambawalikarDepartment of Radiology, Columbia University, New York, NY 10027, USA.ORCID 0000-0003-1839-6798
Muhammad UmairDepartment of Radiology, Columbia University Irving Medical Center, New York, NY 10027, USA.ORCID 0000-0001-6113-8335

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMagnetic particle imaging (MPI) is an emerging, tracer-based modality that directly detects superparamagnetic iron oxide nanoparticles (SPIONs) with exceptional sensitivity, quantitative signal behavior, and full immunity to air-tissue susceptibility artifacts. These features make MPI particularly well-suited for pulmonary imaging, where traditional techniques such as computed tomography (CT), magnetic resonance imaging (MRI), and nuclear medicine-based ventilation/perfusion (V/Q) imaging are limited by radiation exposure, low contrast, and motion-related signal degradation.

objectiveThis review synthesizes the current state of MPI for lung imaging, with emphasis on its physical principles, tracer development, preclinical applications, and its potential role in assessing pulmonary perfusion, vascular integrity, inflammation, and therapeutic responses.

methodsA systematic evaluation of preclinical studies was performed across three major application domains: pulmonary perfusion mapping, cell tracking and therapeutic monitoring, and vascular injury and permeability assessment. Study designs, SPION formulations, MPI acquisition strategies, and validation methods, including histopathology, biodistribution, broncho-alveolar lavage fluid (BALF) analysis, and Evans Blue assays, were examined to characterize methodological consistency and imaging performance.

resultsMPI consistently demonstrated high-contrast, quantitative visualization of pulmonary blood flow, endothelial barrier disruption, inflammatory signaling, and transplanted or inhaled cell populations. Tracer engineering played a critical role: macroaggregated albumin superparamagnetic iron oxide nanoparticles (MAA-SPIONs) enabled capillary-level perfusion mapping, LS-008 improved temporal resolution and vascular delineation, Synomag/Synomag-D allowed quantification of vascular leakage in acute and chronic lung injury, and vascular cell adhesion molecule-1 (VCAM-1)-targeted probes provided molecular-level assessment of inflammation. Hybrid MPI-CT and MPI-MRI approaches further enhanced anatomic localization and enabled accurate pulmonary blood volume (PBV) estimation. Across studies, MPI measurements showed strong agreement with established biological assays and remained free of the artifacts that limit CT and MRI in the lung.

conclusionsPreclinical evidence demonstrates that MPI is a robust, radiation-free, and quantitatively precise modality for functional and molecular lung imaging. Its ability to map perfusion, track therapeutic agents, and noninvasively quantify vascular permeability positions MPI as a promising future alternative or complement to CT, MRI, and nuclear medicine for pulmonary assessment. Continued tracer optimization, system scaling, and clinical validation are key steps toward translating MPI into routine clinical use.

Indexed as

functional lung imaginghybrid imagingmagnetic particle imagingpulmonary imagingsuperparamagnetic iron oxide nanoparticles

Identifiers

PMID42351881
PMCPMC13295305

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.