Evidence map›Paper›PMID 39498310›Full record

ArticlePhysics and imaging in radiation oncology2024

Accuracy, repeatability, and reproducibility of water-fat magnetic resonance imaging in a phantom and healthy volunteer.

Anouk Corbeau, Pien van Gastel, Piotr A Wielopolski, Nick de Jong, Carien L Creutzberg, Uulke A van der Heide, Stephanie M de Boer, Eleftheria Astreinidou

Abstract read
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In one paragraph

Article in Physics and imaging in radiation oncology, 2024. 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. 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

8 authors.

Anouk CorbeauDepartment of Radiation Oncology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands.
Pien van GastelDepartment of Radiation Oncology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands.
Piotr A WielopolskiDepartment of Radiology and Nuclear Medicine, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, the Netherlands.
Nick de JongDepartment of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands.
Carien L CreutzbergDepartment of Radiation Oncology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands.
Uulke A van der HeideDepartment of Radiation Oncology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands.
Stephanie M de BoerDepartment of Radiation Oncology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands.
Eleftheria AstreinidouDepartment of Radiation Oncology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone marrow (BM) damage due to chemoradiotherapy can increase BM fat in cervical cancer patients. Water-fat magnetic resonance (MR) scans were performed on a phantom and a healthy female volunteer to validate proton density fat fraction accuracy, reproducibility, and repeatability across different vendors, field strengths, and protocols. Phantom measurements showed a high accuracy, high repeatability, and excellent reproducibility. Volunteer measurements had an excellent intra- and interreader reliability, good repeatability, and moderate to good reproducibility. Water-fat MRI show potential for quantification of longitudinal vertebral BM fat changes. Further studies are needed to validate and extend these findings for broader clinical applicability.

Indexed as

Bone marrowChemoradiotherapyProton density fat fractionQuantitative MRIValidation studyWater-fat MR

Identifiers

PMID39498310
PMCPMC11532968

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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.