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1000 Titel
  • Exploring innovative strides in radiolabeled nanoparticle progress for multimodality cancer imaging and theranostic applications
1000 Autor/in
  1. Najdian, Atena |
  2. Beiki, Davood |
  3. Abbasi, Milad |
  4. Gholamrezanezhad, Ali |
  5. Ahmadzadehfar, Hojjat |
  6. Amani, Ali Mohammad |
  7. Ardestani, Mehdi Shafiee |
  8. Assadi, Majid |
1000 Verlag
  • BioMed Central
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-09-20
1000 Erschienen in
1000 Quellenangabe
  • 24(1):127
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s40644-024-00762-z |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11416024/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:p>Multimodal imaging unfolds as an innovative approach that synergistically employs a spectrum of imaging techniques either simultaneously or sequentially. The integration of computed tomography (CT), magnetic resonance imaging (MRI), single-photon emission computed tomography (SPECT), positron emission tomography (PET), and optical imaging (OI) results in a comprehensive and complementary understanding of complex biological processes. This innovative approach combines the strengths of each method and overcoming their individual limitations. By harmoniously blending data from these modalities, it significantly improves the accuracy of cancer diagnosis and aids in treatment decision-making processes. Nanoparticles possess a high potential for facile functionalization with radioactive isotopes and a wide array of contrast agents. This strategic modification serves to augment signal amplification, significantly enhance image sensitivity, and elevate contrast indices. Such tailored nanoparticles constructs exhibit a promising avenue for advancing imaging modalities in both preclinical and clinical setting. Furthermore, nanoparticles function as a unified nanoplatform for the co-localization of imaging agents and therapeutic payloads, thereby optimizing the efficiency of cancer management strategies. Consequently, radiolabeled nanoparticles exhibit substantial potential in driving forward the realms of multimodal imaging and theranostic applications. This review discusses the potential applications of molecular imaging in cancer diagnosis, the utilization of nanotechnology-based radiolabeled materials in multimodal imaging and theranostic applications, as well as recent advancements in this field. It also highlights challenges including cytotoxicity and regulatory compliance, essential considerations for effective clinical translation of nanoradiopharmaceuticals in multimodal imaging and theranostic applications.</jats:p> <jats:p><jats:bold>Graphical Abstract</jats:bold></jats:p>
1000 Sacherschließung
lokal Cancer
lokal Humans [MeSH]
lokal Multimodal Imaging/methods [MeSH]
lokal Tomography, Emission-Computed, Single-Photon/methods [MeSH]
lokal Theranostics
lokal Radiopharmaceuticals [MeSH]
lokal Animals [MeSH]
lokal Neoplasms/diagnostic imaging [MeSH]
lokal Multimodality imaging
lokal Targeting
lokal Neoplasms/therapy [MeSH]
lokal Theranostic Nanomedicine/methods [MeSH]
lokal Review
lokal Nanoparticles [MeSH]
lokal Radiolabeled nanoparticles
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/TmFqZGlhbiwgQXRlbmE=|https://frl.publisso.de/adhoc/uri/QmVpa2ksIERhdm9vZA==|https://frl.publisso.de/adhoc/uri/QWJiYXNpLCBNaWxhZA==|https://frl.publisso.de/adhoc/uri/R2hvbGFtcmV6YW5lemhhZCwgQWxp|https://frl.publisso.de/adhoc/uri/QWhtYWR6YWRlaGZhciwgSG9qamF0|https://frl.publisso.de/adhoc/uri/QW1hbmksIEFsaSBNb2hhbW1hZA==|https://frl.publisso.de/adhoc/uri/QXJkZXN0YW5pLCBNZWhkaSBTaGFmaWVl|https://frl.publisso.de/adhoc/uri/QXNzYWRpLCBNYWppZA==
1000 Hinweis
  • DeepGreen-ID: 62ce010372314fdab544053858730818 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 @id frl:6524242.rdf
1000 Erstellt am 2025-07-07T03:05:57.603+0200
1000 Erstellt von 322
1000 beschreibt frl:6524242
1000 Zuletzt bearbeitet 2025-07-29T19:35:18.967+0200
1000 Objekt bearb. Tue Jul 29 19:35:18 CEST 2025
1000 Vgl. frl:6524242
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  1. oai:frl.publisso.de:frl:6524242 |
  2. oai:frl.publisso.de:frl:6524242 |
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