MRI detection of free-contrast agent nanoparticles.

CSI MRI liposomes micelles nanoemulsions nanoparticles

Journal

Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245

Informations de publication

Date de publication:
29 Sep 2024
Historique:
revised: 29 07 2024
received: 23 04 2024
accepted: 25 08 2024
medline: 30 9 2024
pubmed: 30 9 2024
entrez: 30 9 2024
Statut: aheadofprint

Résumé

The integration of nanotechnology into biomedical imaging has significantly advanced diagnostic and theranostic capabilities. However, nanoparticle detection in imaging relies on functionalization with appropriate probes. In this work, a new approach to visualize free-label nanoparticles using MRI and MRS techniques is described, consisting of detecting by Three different nanosystems, namely lipid-based micelles, liposomes, and perfluorocarbon-based nanoemulsions, were synthesized, characterized by high resolution NMR and then visualized by The study successfully demonstrates the feasibility of detecting nanoparticles using MRI/MRS without probe functionalization, employing These findings present a promising avenue for nanoparticle imaging in biomedical applications, offering potential enhancements to diagnostic and theranostic procedures. This non-invasive approach has the capacity to advance imaging techniques and expand the scope of nanoparticle-based biomedical research. Further exploration is necessary to fully explore the implications and applications of this method.

Identifiants

pubmed: 39344270
doi: 10.1002/mrm.30292
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Associazione Italiana per la Ricerca sul Cancro
Organisme : AIRC
ID : IG-22041
Organisme : University of Torino

Informations de copyright

© 2024 The Author(s). Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.

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Auteurs

Francesca Garello (F)

Molecular and Preclinical Imaging Centers, Department of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy.

Eleonora Cavallari (E)

Molecular and Preclinical Imaging Centers, Department of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy.

Martina Capozza (M)

Molecular and Preclinical Imaging Centers, Department of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy.

Marta Ribodino (M)

Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
Neuroscience Institute Cavalieri Ottolenghi, University of Turin, Orbassano, Italy.

Roberta Parolisi (R)

Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
Neuroscience Institute Cavalieri Ottolenghi, University of Turin, Orbassano, Italy.

Annalisa Buffo (A)

Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
Neuroscience Institute Cavalieri Ottolenghi, University of Turin, Orbassano, Italy.

Enzo Terreno (E)

Molecular and Preclinical Imaging Centers, Department of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy.

Classifications MeSH