Evidence map›Paper›PMID 38875333›Full record

ArticleScience advances2024

Ultrasensitive and multiplexed tracking of single cells using whole-body PET/CT.

Hieu T M Nguyen, Neeladrisingha Das, Matthew Ricks, Xiaoxu Zhong, Eri Takematsu, Yuting Wang, Carlos Ruvalcaba, Brahim Mehadji, Emilie Roncali, Charles K F Chan and 1 more

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Super-Resolution Ultrasound Based Cell Tracking With Polymeric Nanobubbles.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Efficient radiolabeling of mesoporous silica nanoparticles for single-cell PET imaging.European journal of nuclear medicine and molecular imaging · 2025
    Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Hieu T M NguyenSchool of Medicine, Department of Radiation Oncology and Medical Physics, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-2094-4773
Neeladrisingha DasSchool of Medicine, Department of Radiation Oncology and Medical Physics, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-5394-0432
Matthew RicksSchool of Medicine, Department of Radiological Sciences, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-5315-612X
Xiaoxu ZhongSchool of Medicine, Department of Radiation Oncology and Medical Physics, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-5790-1895
Eri TakematsuSchool of Medicine, Department of Surgery, Stanford University, Stanford, CA 94305, USA.
Yuting WangSchool of Medicine, Department of Surgery, Stanford University, Stanford, CA 94305, USA.
Carlos RuvalcabaDepartment of Biomedical Engineering, University of California, Davis, Davis, CA 95616, USA.
Brahim MehadjiDepartment of Radiology, University of California, Davis, Davis, CA 95616, USA.ORCID 0000-0002-2941-1837
Emilie RoncaliDepartment of Biomedical Engineering, University of California, Davis, Davis, CA 95616, USA.ORCID 0000-0002-2439-1064
Charles K F ChanSchool of Medicine, Department of Surgery, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-3740-3535
Guillem PratxSchool of Medicine, Department of Radiation Oncology and Medical Physics, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-0247-6470

Funding

Stanford Molecular Imaging Scholars (SMIS) ProgramT32CA118681 · NCI · STANFORD UNIVERSITY · PI CRAIG S LEVIN · 2016 to 2026
$4.3M
New tools for tracking single cells in vivoR01EB030367 · NIBIB · STANFORD UNIVERSITY · PI PRATX, GUILLEM, SPRIET, MATHIEU · 2020 to 2024
$2.4M
NCI NIH HHS T32 CA118681NIBIB NIH HHS R01 EB030367
6 · The paper itself

Abstract

In vivo molecular imaging tools are crucially important for elucidating how cells move through complex biological systems; however, achieving single-cell sensitivity over the entire body remains challenging. Here, we report a highly sensitive and multiplexed approach for tracking upward of 20 single cells simultaneously in the same subject using positron emission tomography (PET). The method relies on a statistical tracking algorithm (PEPT-EM) to achieve a sensitivity of 4 becquerel per cell and a streamlined workflow to reliably label single cells with over 50 becquerel per cell of

Indexed as

Cell TrackingPositron Emission Tomography Computed TomographySingle-Cell AnalysisWhole Body ImagingAlgorithmsAnimalsCell Line, TumorFluorodeoxyglucose F18HumansMelanomaMiceFluorodeoxyglucose F18

Identifiers

PMID38875333
PMCPMC11177933

What OpenQuestion holds

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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.