Evidence map›Paper›PMID 41794653›Full record

ArticleMagnetic resonance in medicine2026

Simulation-Informed Evaluation of Microvascular Parameter Mapping for Diffusion MR Imaging of Solid Tumours.

Anna Kira Voronova, Olivia Prior, Athanasios Grigoriou, Francesc Salvà, Elena Elez, Luz M Atlagich, Roser Sala-Llonch, Marco Palombo, Els Fieremans, Dmitry S Novikov and 2 more

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2026. 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.

Anna Kira VoronovaRadiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain.ORCID 0009-0006-9600-0436
Olivia PriorRadiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain.ORCID 0009-0000-4913-6716
Athanasios GrigoriouRadiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain.ORCID 0000-0003-1826-8040
Francesc SalvàMedical Oncology Service, Vall d'Hebron Barcelona Hospital Campus, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.ORCID 0000-0001-9240-4907
Elena ElezMedical Oncology Service, Vall d'Hebron Barcelona Hospital Campus, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.ORCID 0000-0002-4653-6324
Luz M AtlagichRadiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain.
Roser Sala-LlonchDepartment of Biomedicine, Faculty of Medicine, Institut d'Investigacions Biomédiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.ORCID 0000-0003-3576-0475
Marco PalomboCardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.ORCID 0000-0003-4892-7967
Els FieremansBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA.ORCID 0000-0002-1384-8591
Dmitry S NovikovBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA.ORCID 0000-0002-4213-3050
Raquel Perez-LopezRadiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain.ORCID 0000-0002-9176-0130
Francesco GrussuRadiomics Group, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain.ORCID 0000-0002-0945-3909

Funding

Agencia de Gestio d'Ajuts Universitaris i de Recerca 2023PROD00178Agencia de Gestio d'Ajuts Universitaris i de Recerca SGR-Cat2021Agencia Estatal de Investigacion CEX2020-001024-S/AEI/10.13039/501100011033Agencia Estatal de Investigacion PRE2022-102586Cellex FoundationCRIS Cancer Foundation TALENT19-05European Regional Development Fund (European Commission, EU)FERO FoundationFundació Institució dels Centres de Recerca de Catalunya (CERCA)Fundacion BBVA 89/2017Fundacion Cientifica Asociacion Espanola Contra el Cancer PRYCO211023SERRInstituto de Salud Carlos III PI18/01395Instituto de Salud Carlos III PI21/01019'la Caixa' Foundation CaixaResearch Advanced Oncology Research Program'la Caixa' Foundation LCF/BQ/PR22/11920010Prostate Cancer Foundation 18YOUN19UK Research and Innovation MR/T020296/2
6 · The paper itself

Abstract

purposeWe aim to inform the design of new diffusion MRI (dMRI) approaches for microvasculature quantification that enhance the biological specificity of imaging towards cancer.

methodsWe adopted simulation-informed modelling of the vascular dMRI signal. We synthesised signals from 1500 synthetic vascular networks, for a variety of protocols (flow-compensated [FC], non-compensated [NC], hybrid), featuring different

resultsBoth NC and FC synthetic vascular signals exhibited complex behaviour as, for example, non-zero kurtosis and diffusion time dependence. Two independent degrees of freedom appeared recoverable from directionally-averaged vascular signals (SNR of 5). Mean volumetric flow rate

conclusionsSimulation-based modelling of the vascular dMRI signal suggests

Indexed as

Colorectal NeoplasmsDiffusion Magnetic Resonance ImagingImage Processing, Computer-AssistedMicrovesselsNeoplasmsAlgorithmsComputer SimulationHumansImage Interpretation, Computer-AssistedSignal-To-Noise Ratiocancerdiffusion MRImicrovasculaturemodellingsimulations

Identifiers

PMID41794653
PMCPMC13156458

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.