Mathematical models for the diffusion magnetic resonance signal abnormality in patients with prion diseases

In clinical practice signal hyperintensity in the cortex and/or in the striatum on magnetic resonance (MR) diffusion-weighted images (DWIs) is a marker of sporadic Creutzfeldt–Jakob Disease (sCJD). MR diagnostic accuracy is greater than 90%, but the biophysical mechanisms underpinning the signal ab...

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Main Authors: Matteo Figini, Daniel C. Alexander, Veronica Redaelli, Fabrizio Fasano, Marina Grisoli, Giuseppe Baselli, Pierluigi Gambetti, Fabrizio Tagliavini, Alberto Bizzi
Format: Article
Language:English
Published: Elsevier 2015-01-01
Series:NeuroImage: Clinical
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158214001818
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spelling doaj-aa9419ce87db4ec88f6b71c2c8a1e6e62020-11-24T23:41:24ZengElsevierNeuroImage: Clinical2213-15822015-01-017C14215410.1016/j.nicl.2014.11.017Mathematical models for the diffusion magnetic resonance signal abnormality in patients with prion diseasesMatteo Figini0Daniel C. Alexander1Veronica Redaelli2Fabrizio Fasano3Marina Grisoli4Giuseppe Baselli5Pierluigi Gambetti6Fabrizio Tagliavini7Alberto Bizzi8Neuroradiology, Fondazione IRCCS Istituto Neurologico “Carlo Besta”, Milano, ItalyCentre for Medical Image Computing, Department of Computer Science, University College London, London, United KingdomNeuropathology, Fondazione IRCCS Istituto Neurologico, Parma, ItalyDepartment of Neuroscience, Università degli Studi di Parma, Parma, ItalyNeuroradiology, Fondazione IRCCS Istituto Neurologico “Carlo Besta”, Milano, ItalyDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, ItalyNational Prion Disease Pathology Surveillance Center, Department of Pathology, Case Western Reserve University, Cleveland, OH, USANeuropathology, Fondazione IRCCS Istituto Neurologico, Parma, ItalyNeuroradiology, Humanitas Research Hospital IRCCS, Rozzano, Milano, Italy In clinical practice signal hyperintensity in the cortex and/or in the striatum on magnetic resonance (MR) diffusion-weighted images (DWIs) is a marker of sporadic Creutzfeldt–Jakob Disease (sCJD). MR diagnostic accuracy is greater than 90%, but the biophysical mechanisms underpinning the signal abnormality are unknown. The aim of this prospective study is to combine an advanced DWI protocol with new mathematical models of the microstructural changes occurring in prion disease patients to investigate the cause of MR signal alterations. This underpins the later development of more sensitive and specific image-based biomarkers. DWI data with a wide a range of echo times and diffusion weightings were acquired in 15 patients with suspected diagnosis of prion disease and in 4 healthy age-matched subjects. Clinical diagnosis of sCJD was made in nine patients, genetic CJD in one, rapidly progressive encephalopathy in three, and Gerstmann–Sträussler–Scheinker syndrome in two. Data were analysed with two bi-compartment models that represent different hypotheses about the histopathological alterations responsible for the DWI signal hyperintensity. A ROI-based analysis was performed in 13 grey matter areas located in affected and apparently unaffected regions from patients and healthy subjects. We provide for the first time non-invasive estimate of the restricted compartment radius, designed to reflect vacuole size, which is a key discriminator of sCJD subtypes. The estimated vacuole size in DWI hyperintense cortex was in the range between 3 and 10 µm that is compatible with neuropathology measurements. In DWI hyperintense grey matter of sCJD patients the two bi-compartment models outperform the classic mono-exponential ADC model. Both new models show that T2 relaxation times significantly increase, fast and slow diffusivities reduce, and the fraction of the compartment with slow/restricted diffusion increases compared to unaffected grey matter of patients and healthy subjects. Analysis of the raw DWI signal allows us to suggest the following acquisition parameters for optimized detection of CJD lesions: b = 3000 s/mm2 and TE = 103 ms. In conclusion, these results provide the first in vivo estimate of mean vacuole size, new insight on the mechanisms of DWI signal changes in prionopathies and open the way to designing an optimized acquisition protocol to improve early clinical diagnosis and subtyping of sCJD. http://www.sciencedirect.com/science/article/pii/S2213158214001818Diffusion MRIBiophysical modelsCreutzfeldt–Jakob diseasePrion diseaseSpongiform degeneration
collection DOAJ
language English
format Article
sources DOAJ
author Matteo Figini
Daniel C. Alexander
Veronica Redaelli
Fabrizio Fasano
Marina Grisoli
Giuseppe Baselli
Pierluigi Gambetti
Fabrizio Tagliavini
Alberto Bizzi
spellingShingle Matteo Figini
Daniel C. Alexander
Veronica Redaelli
Fabrizio Fasano
Marina Grisoli
Giuseppe Baselli
Pierluigi Gambetti
Fabrizio Tagliavini
Alberto Bizzi
Mathematical models for the diffusion magnetic resonance signal abnormality in patients with prion diseases
NeuroImage: Clinical
Diffusion MRI
Biophysical models
Creutzfeldt–Jakob disease
Prion disease
Spongiform degeneration
author_facet Matteo Figini
Daniel C. Alexander
Veronica Redaelli
Fabrizio Fasano
Marina Grisoli
Giuseppe Baselli
Pierluigi Gambetti
Fabrizio Tagliavini
Alberto Bizzi
author_sort Matteo Figini
title Mathematical models for the diffusion magnetic resonance signal abnormality in patients with prion diseases
title_short Mathematical models for the diffusion magnetic resonance signal abnormality in patients with prion diseases
title_full Mathematical models for the diffusion magnetic resonance signal abnormality in patients with prion diseases
title_fullStr Mathematical models for the diffusion magnetic resonance signal abnormality in patients with prion diseases
title_full_unstemmed Mathematical models for the diffusion magnetic resonance signal abnormality in patients with prion diseases
title_sort mathematical models for the diffusion magnetic resonance signal abnormality in patients with prion diseases
publisher Elsevier
series NeuroImage: Clinical
issn 2213-1582
publishDate 2015-01-01
description In clinical practice signal hyperintensity in the cortex and/or in the striatum on magnetic resonance (MR) diffusion-weighted images (DWIs) is a marker of sporadic Creutzfeldt–Jakob Disease (sCJD). MR diagnostic accuracy is greater than 90%, but the biophysical mechanisms underpinning the signal abnormality are unknown. The aim of this prospective study is to combine an advanced DWI protocol with new mathematical models of the microstructural changes occurring in prion disease patients to investigate the cause of MR signal alterations. This underpins the later development of more sensitive and specific image-based biomarkers. DWI data with a wide a range of echo times and diffusion weightings were acquired in 15 patients with suspected diagnosis of prion disease and in 4 healthy age-matched subjects. Clinical diagnosis of sCJD was made in nine patients, genetic CJD in one, rapidly progressive encephalopathy in three, and Gerstmann–Sträussler–Scheinker syndrome in two. Data were analysed with two bi-compartment models that represent different hypotheses about the histopathological alterations responsible for the DWI signal hyperintensity. A ROI-based analysis was performed in 13 grey matter areas located in affected and apparently unaffected regions from patients and healthy subjects. We provide for the first time non-invasive estimate of the restricted compartment radius, designed to reflect vacuole size, which is a key discriminator of sCJD subtypes. The estimated vacuole size in DWI hyperintense cortex was in the range between 3 and 10 µm that is compatible with neuropathology measurements. In DWI hyperintense grey matter of sCJD patients the two bi-compartment models outperform the classic mono-exponential ADC model. Both new models show that T2 relaxation times significantly increase, fast and slow diffusivities reduce, and the fraction of the compartment with slow/restricted diffusion increases compared to unaffected grey matter of patients and healthy subjects. Analysis of the raw DWI signal allows us to suggest the following acquisition parameters for optimized detection of CJD lesions: b = 3000 s/mm2 and TE = 103 ms. In conclusion, these results provide the first in vivo estimate of mean vacuole size, new insight on the mechanisms of DWI signal changes in prionopathies and open the way to designing an optimized acquisition protocol to improve early clinical diagnosis and subtyping of sCJD.
topic Diffusion MRI
Biophysical models
Creutzfeldt–Jakob disease
Prion disease
Spongiform degeneration
url http://www.sciencedirect.com/science/article/pii/S2213158214001818
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