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

Simulation-based modelling of the vascular dMRI signal suggests <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow> <mml:msub><mml:mrow><mml:mi>q</mml:mi></mml:mrow> <mml:mrow><mml:mi>m</mml:mi></mml:mrow> </mml:msub> </mml:mrow> <mml:annotation>$$ {q}_m $$</mml:annotation></mml:semantics> </mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>A</mml:mi> <mml:mi>N</mml:mi> <mml:mi>B</mml:mi></mml:mrow> <mml:annotation>$$ ANB $$</mml:annotation></mml:semantics> </mml:math> as the most promising metrics for tissue microvasculature characterisation. Their estimation in vivo appears feasible to capture general trends, and demonstrates contrasts that are biologically plausible, encouraging their usage in future studies.

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Publication Details

Journal
Magnetic Resonance in Medicine
Published
2026-03-07
DOI
https://doi.org/10.1002/mrm.70318
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Luz M. Atlagich, Francesco Grussu, Marco Alberto Palombo, Francesc Salvà et al.
Magnetic Resonance in Medicine
MRI in cancer diagnosis
article

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

Luz M. Atlagich, Francesco Grussu, Marco Alberto Palombo, Francesc Salvà, Olivia Prior, Athanasios Grigoriou, Elena M Elez, Anna Voronova, Els Fieremans, Roser Sala‐Llonch, Dmitry S. Novikov, Raquel Perez‐Lopez
article en

Abstract

Simulation-based modelling of the vascular dMRI signal suggests <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow> <mml:msub><mml:mrow><mml:mi>q</mml:mi></mml:mrow> <mml:mrow><mml:mi>m</mml:mi></mml:mrow> </mml:msub> </mml:mrow> <mml:annotation>$$ {q}_m $$</mml:annotation></mml:semantics> </mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:mrow><mml:mi>A</mml:mi> <mml:mi>N</mml:mi> <mml:mi>B</mml:mi></mml:mrow> <mml:annotation>$$ ANB $$</mml:annotation></mml:semantics> </mml:math> as the most promising metrics for tissue microvasculature characterisation. Their estimation in vivo appears feasible to capture general trends, and demonstrates contrasts that are biologically plausible, encouraging their usage in future studies.

Magnetic Resonance in Medicine
Hebron University (PS), Vall d'Hebron Institut de Recerca (ES), Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (ES), Institute for Research in Biomedicine (ES), Vall d'Hebron Hospital Universitari (ES), Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES), Vall d'Hebron Institute of Oncology (ES), New York University (US), Cardiff University (GB)
Prostate Cancer Foundation, Fundación BBVA, Fundación Cellex, UK Research and Innovation, Centres de Recerca de Catalunya, European Commission, Generalitat de Catalunya, Banco Bilbao Vizcaya Argentaria, Fundación Fero, Fundación Bancaria Caixa d'Estalvis i Pensions de Barcelona, CRIS Cancer Foundation, Agència de Gestió d'Ajuts Universitaris i de Recerca, Instituto de Salud Carlos III, European Regional Development Fund, Agencia Estatal de Investigación
Openalex Percentile: Top 31%
MRI in cancer diagnosis
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