Evidence map›Paper›PMID 41838244›Full record

ArticleEuropean radiology experimental2026

¹⁹F MRI radiomic features: in vitro and in vivo repeatability.

Olga Maxouri, Mariah Daal, Serena Vegna, Diana Ivonne Rodríguez Sánchez, Sajjad Rostami, Stephan Ursprung, Manon Boeije, Natalie Proost, Marieke van de Ven, Leila Akkari and 3 more

Abstract read
In one paragraph

Article in European radiology experimental, 2026. 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

13 authors.

Olga MaxouriDepartment of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-4709-1929
Mariah DaalDepartment of Cell Biology and Immunology, Wageningen University & Research, Wageningen, The Netherlands.ORCID http://orcid.org/0000-0002-2509-3739
Serena VegnaDivision of Tumor Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-0518-9319
Diana Ivonne Rodríguez SánchezDepartment of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-2243-1269
Sajjad RostamiDepartment of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-2883-0578
Stephan UrsprungDepartment of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-2476-178X
Manon BoeijeMouse Clinic for Cancer and Aging Research (MCCA), Preclinical Intervention Unit, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Natalie ProostMouse Clinic for Cancer and Aging Research (MCCA), Preclinical Intervention Unit, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID http://orcid.org/0009-0001-3282-793X
Marieke van de VenMouse Clinic for Cancer and Aging Research (MCCA), Preclinical Intervention Unit, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-9237-4194
Leila AkkariDivision of Tumor Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0001-5479-641X
Mangala SrinivasDepartment of Cell Biology and Immunology, Wageningen University & Research, Wageningen, The Netherlands.ORCID http://orcid.org/0000-0002-3835-1995
Zuhir BodalalDepartment of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-2617-8128
Regina Beets-TanGROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands. r.beetstan@maastrichtuniversity.nl.ORCID http://orcid.org/0000-0002-8533-5090

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveUsing radiomics to compute quantitative imaging features may reveal information beyond standard magnetic resonance imaging (MRI) metrics. We aim to investigate the test-retest repeatability of ¹⁹F MRI radiomic features in phantoms containing two perfluorocarbons and to validate these findings in a pilot in vivo mouse tumor model. MATERIALS AND

methodsTwo phantoms containing perfluoropolyether (PFPE) or perfluoro-15-crown-5 ether (PFCE) were repeatedly scanned (intrasession and intersession) using a 7-T system equipped with a dual-tuned ¹H/¹⁹F volume coil. Radiomic features were extracted and assessed for stability using the concordance correlation coefficient (CCC) ≥ 0.85 and normalized dynamic range ≥ 0.90. A separate in vivo test-retest experiment was conducted in tumor-bearing mice injected with a PFPE nanoemulsion.

resultsA total of 194 scans and 772 segments were evaluated across the PFPE phantom, PFCE phantom, and in vivo experiments. In both phantoms, radiomic features displayed high intrasession repeatability (median CCC up to 0.886) but decreased intersession repeatability (median CCC down to 0.683). Intensity features were consistently more repeatable (p < 0.003) than shape or texture features. We found that 23.1% (466/2,013) of features were repeatable across phantoms. In vivo pilot scans showed that 86.1% (401/466) of these phantom-stable features, or ~20.0% overall, remained repeatable under physiological conditions.

conclusionSeveral ¹⁹F MRI-derived features exhibited excellent short-term repeatability, and a considerable proportion proved robust to intersession variability. These robust features may reliably capture ¹⁹F signals under both phantom and physiological conditions, paving the way for more quantitative imaging analysis in this modality and encouraging general reproducibility of data. RELEVANCE STATEMENT: KEY POINTS: We analyzed 194 ¹⁹F MRI scans and 772 segments obtained in phantoms at 7 T. Cross-agent stability identified 466 radiomic features meeting concordance correlation coefficient ≥ 0.85 and normalized dynamic range ≥ 0.90. Of these phantom-stable features, 401 of 466 remained stable in vivo in a tumor mouse model. Intensity features were most repeatable, while shape features were least stable across sessions. Median concordance correlation coefficient dropped from 0.886 intrasession to 0.683 intersession.

Indexed as

Fluorine-19 Magnetic Resonance ImagingMagnetic Resonance ImagingAnimalsCrown EthersEthersFluorocarbonsMicePhantoms, ImagingPilot ProjectsRadiomicsReproducibility of ResultsCrown EthersEthersFluorocarbonsperfluoro-15-crown-5-etherperfluoropolyetherFluorineMagnetic resonance imagingMiceRadiomicsReproducibility of results

Identifiers

PMID41838244
PMCPMC12992713

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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.