Evidence map›Paper›PMID 41453974›Full record

ArticleScientific reports2025

Understanding water properties in tumorous murine cells using field-cycling NMR relaxometry.

David Faux, Rémi Kogon, Janet Godolphin

Abstract read
In one paragraph

Article in Scientific reports, 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. Review
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

3 authors.

David FauxSchool of Mathematics and Physics, University of Surrey, Guildford, GU2 7XH, UK. d.faux@surrey.ac.uk.
Rémi Kogon *School of Mathematics and Physics, University of Surrey, Guildford, GU2 7XH, UK.
Janet Godolphin *School of Mathematics and Physics, University of Surrey, Guildford, GU2 7XH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fixed high magnetic fields (1-7 Tesla) used for magnetic resonance imaging produce resolution suitable for oncology but image contrast is insufficient to determine tumour stage. Fast field cycling nuclear magnetic resonance (FFC NMR) measurements spanning low fields (0.24 mT-0.24 T) provide frequency-dependent longitudinal relaxation rate [Formula: see text] profiles which allow healthy and pathological tissue to be differentiated. In vivo FFC NMR measurements from healthy and tumorous murine tissue spanning a range of tumour fractions have been interpreted using the 3-Tau model (3TM). Each 3TM fit yields six physically meaningful fit parameters. Statistically significant correlation with tumour fraction is found for two of these parameters, namely the surface-to-volume ratio and bulk water dynamic time constant. These fit parameters therefore act as biomarkers. The sensitivity of the biomarkers to tumour fraction is explained by the net water ingress into tumour cells. The sensitivity of [Formula: see text] at the lowest field ([Formula: see text] MHz) is explained by changes in the surface-to-volume ratio. [Formula: see text] is also a biomarker. The water dynamics at solid surfaces are found to change with tumour fraction probably due to differences in cell wall structure between healthy and pathological tissue. FFC NMR measurements interpreted with the 3TM have the potential to estimate tumour fraction from biopsy samples from humans.

Indexed as

Magnetic Resonance ImagingNeoplasmsWaterAnimalsMagnetic Resonance SpectroscopyMiceWaterBiomarkersLow field NMRNMR fast field cyclingRelaxometryTumorous tissue

Identifiers

PMID41453974
PMCPMC12764788

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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.