Evidence map›Paper›PMID 37031365›Full record

ArticleJournal of applied clinical medical physics2023

Optimizing b-values schemes for diffusion MRI of the brain with segmented Intravoxel Incoherent Motion (IVIM) model.

Chiara Paganelli, Marco Andrea Zampini, Letizia Morelli, Giulia Buizza, Giulia Fontana, Luca Anemoni, Sara Imparato, Giulia Riva, Alberto Iannalfi, Ester Orlandi and 1 more

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Article in Journal of applied clinical medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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0cells of the map it votes in
8citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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  8. Differentiating Brain Metastasis and High-Grade Glioma Using Multi-b Value Diffusion MRI and Tumor Volumetry.Journal of neuroimaging : official journal of the American Society of Neuroimaging
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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Chiara PaganelliDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Marco Andrea ZampiniMR Solutions Americas LLC, Acton (MA), USA.
Letizia MorelliDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Giulia BuizzaDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Giulia FontanaBioengineering Unit, National Center of Oncological Hadrontherapy (CNAO), Pavia, Italy.
Luca AnemoniRadiation Therapy Technologist Unit, National Center of Oncological Hadrontherapy (CNAO), Pavia, Italy.
Sara ImparatoRadiology Unit, National Center of Oncological Hadrontherapy (CNAO), Pavia, Italy.
Giulia RivaClinical Department, National Center of Oncological Hadrontherapy (CNAO), Pavia, Italy.
Alberto IannalfiClinical Department, National Center of Oncological Hadrontherapy (CNAO), Pavia, Italy.
Ester OrlandiClinical Department, National Center of Oncological Hadrontherapy (CNAO), Pavia, Italy.
Guido BaroniDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo define an optimal set of b-values for accurate derivation of diffusion MRI parameters in the brain with segmented Intravoxel Incoherent Motion (IVIM) model.

methodsSimulations of diffusion signals were performed to define an optimal set of b-values targeting different perfusion regimes, by relying on an optimization procedure which minimizes the total relative error on estimated IVIM parameters computed with a segmented fitting procedure. Then, the optimal b-values set was acquired in vivo on healthy subjects and skull base chordoma patients to compare the optimized protocol with a clinical one.

resultsThe total relative error on simulations decreased of about 40% when adopting the optimal set of 13 b-values (0 10 20 40 50 60 200 300 400 1200 1300 1400 1500 s/mm

conclusionsThe definition of an optimal b-values set can improve the estimation of quantitative IVIM parameters. This allows setting up an optimized approach that can be adopted for IVIM studies in the brain.

Indexed as

ChordomaBrainDiffusion Magnetic Resonance ImagingHumansMotionbrainb-values optimizationDWIIVIM

Identifiers

PMID37031365
PMCPMC10243330

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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.