Evidence map›Paper›PMID 39729092›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2025

Efficient radiolabeling of mesoporous silica nanoparticles for single-cell PET imaging.

Syamantak Khan, Xiaoxu Zhong, Neeladrisingha Das, Jung Ho Yu, Arutselvan Natarajan, David Anders, Guillem Pratx

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Contrast Agents for Enhanced Bioimaging: A Comprehensive Review.Chembiochem : a European journal of chemical biology · 2026
    Review
  3. 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

7 authors.

Syamantak KhanDepartment of Radiation Oncology, Stanford University, Stanford, CA, USA.
Xiaoxu ZhongDepartment of Radiation Oncology, Stanford University, Stanford, CA, USA.
Neeladrisingha DasDepartment of Radiation Oncology, Stanford University, Stanford, CA, USA.
Jung Ho YuDepartment of Radiation Oncology, Stanford University, Stanford, CA, USA.
Arutselvan NatarajanDepartment of Radiology, Stanford University, Stanford, CA, USA.
David AndersDepartment of Radiology, Stanford University, Stanford, CA, USA.
Guillem PratxDepartment of Radiation Oncology, Stanford University, Stanford, CA, USA. pratx@stanford.edu.ORCID 0000-0002-0247-6470

Funding

New tools for tracking single cells in vivoR01EB030367 · NIBIB · STANFORD UNIVERSITY · PI PRATX, GUILLEM, SPRIET, MATHIEU · 2020 to 2024
$2.4M
NIBIB NIH HHS R01 EB030367NIBIB NIH HHS R01EB030367.
6 · The paper itself

Abstract

purposeNanoparticles are highly efficient vectors for ferrying contrast agents across cell membranes, enabling ultra-sensitive in vivo tracking of single cells with positron emission tomography (PET). However, this approach must be fully characterized and understood before it can be reliably implemented for routine applications.

methodsWe developed a Langmuir adsorption model that accurately describes the process of labeling mesoporous silica nanoparticles (MSNP) with

resultsWe found that highly porous mesoporous nanoparticles (d = 100 nm) with MCM-41 pore structures can achieve radiolabeling efficiency > 30 GBq/mg using

conclusionWe characterized the critical parameters of MSNP-mediated direct cellular radiolabeling to improve the use of these nanoparticles as cellular labels for highly sensitive preclinical PET imaging.

Indexed as

NanoparticlesPositron-Emission TomographySilicon DioxideSingle-Cell AnalysisAnimalsCell Line, TumorGallium RadioisotopesHumansIsotope LabelingMicePorosityTissue DistributionGallium-68Gallium RadioisotopesSilicon DioxideCell trackingGallium-68Mesoporous silicaNanoparticlePET imaging

Identifiers

PMID39729092
PMCPMC11928280

What Socratic holds

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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.