Evidence map›Paper›PMID 39601295›Full record

ArticleNano letters2025

Nanoparticle Contrast Agents for Dark-Field X-ray Imaging.

Carlos Navarrete-León, Adam Doherty, Margarita Strimaite, Joseph C Bear, Alessandro Olivo, Marco Endrizzi, P Stephen Patrick

Abstract read
In one paragraph

Article in Nano letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Quantitative Stain Mapping in X-Ray Virtual Histology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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.

Carlos Navarrete-LeónDepartment of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, United Kingdom.
Adam DohertyDepartment of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, United Kingdom.
Margarita StrimaiteCentre for Advanced Biomedical Imaging, Division of Medicine, University College London, London, WC1E 6DD, United Kingdom.ORCID 0000-0002-8136-9912
Joseph C BearSchool of Life Sciences, Pharmacy & Chemistry, Kingston University, Penrhyn Road, Kingston upon Thames, KT1 2EE, United Kingdom.ORCID 0000-0001-6504-4723
Alessandro OlivoDepartment of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, United Kingdom.
Marco EndrizziDepartment of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, United Kingdom.
P Stephen PatrickCentre for Advanced Biomedical Imaging, Division of Medicine, University College London, London, WC1E 6DD, United Kingdom.ORCID 0000-0002-7155-1729

Funding

Wellcome Trust
6 · The paper itself

Abstract

The poor soft tissue contrast of X-ray CT necessitates contrast agent use to improve diagnosis across disease applications, yet their poor detection sensitivity requires high injected doses, which restrict use in at-risk populations. Dark-field X-ray imaging is emerging as a more sensitive alternative to traditional attenuation-based imaging, leveraging scattered radiation to produce contrast. Yet aside from large, short-lived microbubbles, the alternate physics of dark-field detection has yet to be exploited for contrast agent development. Here we demonstrate that high-Z nanoparticles can provide a new means to producing dark-field image contrast, promoting scatter via a higher rather than lower electron density compared to microbubbles, increasing detection sensitivity compared to attenuation-based detection of a clinical iodine-based agent at an equivalent X-ray dose. As the use of dark-field X-ray imaging expands into more common clinical usage, this will support the development of a new class of nanoparticulate contrast agents.

Indexed as

Contrast MediaNanoparticlesTomography, X-Ray ComputedHumansX-RaysContrast MediaBiomaterialsContrast AgentsDark-FieldNanoparticlesX-ray

Identifiers

PMID39601295
PMCPMC11760164

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.