Evidence map›Paper›PMID 39663686›Full record

ArticleNMR in biomedicine2025

The Road to a Realistic 3D Model for Estimating R

Daniëlle van Dorth, Ahmad Alafandi, Sadaf Soloukey, Pieter Kruizinga, Krishnapriya Venugopal, Aurélien Delphin, Dirk H J Poot, Thomas Christen, Marion Smits, Jeroen de Bresser and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NMR in biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Daniëlle van DorthC. J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-7535-8072
Ahmad AlafandiDepartment of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Sadaf SoloukeyDepartment of Neuroscience, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0001-7711-3271
Pieter KruizingaDepartment of Neuroscience, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0003-2278-1218
Krishnapriya VenugopalDepartment of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-6193-9674
Aurélien DelphinInserm, CHU Grenoble Alpes, CNRS, IRMaGe, Université Grenoble Alpes, Grenoble, France.ORCID 0000-0001-8478-3660
Dirk H J PootDepartment of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0003-0656-2963
Thomas ChristenInserm, U1216, Grenoble Institut Neurosciences, GIN, Université Grenoble Alpes, Grenoble, France.ORCID 0000-0002-8791-9145
Marion SmitsDepartment of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0001-5563-2871
Jeroen de BresserDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-0759-8407
Juan A Hernandez-TamamesDepartment of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0003-0027-9518
Matthias J P van OschC. J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-7034-8959

Funding

Dutch Research Council (NWO)Medical Delta
6 · The paper itself

Abstract

Dynamic susceptibility contrast (DSC) MRI is commonly part of brain tumor imaging. For quantitative analysis, measurement of the arterial input function and tissue concentration time curve is required. Usually, a linear relationship between the MR signal changes and contrast agent concentration ([Gd]) is assumed, even though this is a known simplification. The aim of this study was to develop a realistic 3D simulation model as an efficient method to assess the relationship between ΔR

Indexed as

Brain NeoplasmsGadolinium DTPAImaging, Three-DimensionalMagnetic Resonance ImagingComputer SimulationContrast MediaErythrocytesHematocritHumansModels, BiologicalReproducibility of ResultsContrast MediaGadolinium DTPAarterial input functiondynamic susceptibility contrast MRI (DSC‐MRI)hematocrit dependencymagnetic field strengthoxygen saturationsimulations

Identifiers

PMID39663686
PMCPMC11635185

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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.