Marco Castellaro
Research Fellow
marco.castellaro@dei.unipd.it
Room 310 – 3rd floor – DEI/A
Short Bio
Marco Castellaro was born in Padova (PD, Italia) on May 1984. He received his bachelor degree in Biomedical Engineering in 2007 and his Master Degree in Bioengineering in 2010, both from University of Padova, Italy. He earned a Ph.D. in Bioengineering under the supervision of Prof. Alessandra Bertoldo with a thesis entitled “Quantitative neuroimaging of perfusion with Arterial Spin Labelling: deconvolution and physiology-based models”. He was a post-doctoral fellow at the Department of Information Engineering, at the Padova Neuroscience Center of the University of Padova and at the Department of Neuroscience, Medicine and movement of the University of Verona.
He is currently a research fellow at the Department of Information Engineering. His research interests mainly include artificial intelligence applied to study sleep and related disorders exploiting both medical images and biomedical signals.
Selected Publications
Visani, Valentina; Pizzini, Francesca B.; Natale, Valerio; Tamanti, Agnese; Anglani, Mariagiulia; Bertoldo, Alessandra; Calabrese, Massimiliano; Castellaro, Marco
Choroid plexus volume in multiple sclerosis can be estimated on structural MRI avoiding contrast injection Journal Article
In: Eur Radiol Exp, vol. 8, no. 1, 2024, ISSN: 2509-9280.
@article{Visani2024,
title = {Choroid plexus volume in multiple sclerosis can be estimated on structural MRI avoiding contrast injection},
author = {Valentina Visani and Francesca B. Pizzini and Valerio Natale and Agnese Tamanti and Mariagiulia Anglani and Alessandra Bertoldo and Massimiliano Calabrese and Marco Castellaro},
doi = {10.1186/s41747-024-00421-9},
issn = {2509-9280},
year = {2024},
date = {2024-12-00},
urldate = {2024-12-00},
journal = {Eur Radiol Exp},
volume = {8},
number = {1},
publisher = {Springer Science and Business Media LLC},
abstract = {<jats:title>Abstract</jats:title><jats:p>We compared choroid plexus (ChP) manual segmentation on non-contrast-enhanced (non-CE) sequences and reference standard CE T1- weighted (T1w) sequences in 61 multiple sclerosis patients prospectively included. ChP was separately segmented on T1w, T2-weighted (T2w) fluid-attenuated inversion-recovery (FLAIR), and CE-T1w sequences. Inter-rater variability assessed on 10 subjects showed high reproducibility between sequences measured by intraclass correlation coefficient (T1w 0.93, FLAIR 0.93, CE-T1w 0.99). CE-T1w showed higher signal-to-noise ratio and contrast-to-noise ratio (CE-T1w 23.77 and 18.49, T1w 13.73 and 7.44, FLAIR 13.09 and 10.77, respectively). Manual segmentation of ChP resulted 3.073 ± 0.563 mL (mean ± standard deviation) on T1w, 3.787 ± 0.679 mL on FLAIR, and 2.984 ± 0.506 mL on CE-T1w images, with an error of 28.02 ± 19.02% for FLAIR and 3.52 ± 12.61% for T1w. FLAIR overestimated ChP volume compared to CE-T1w (<jats:italic>p</jats:italic> < 0.001). The Dice similarity coefficient of CE-T1w <jats:italic>versus</jats:italic> T1w and FLAIR was 0.67 ± 0.05 and 0.68 ± 0.05, respectively. Spatial error distribution per slice was calculated after nonlinear coregistration to the standard MNI152 space and showed a heterogeneous profile along the ChP especially near the fornix and the hippocampus. Quantitative analyses suggest T1w as a surrogate of CE-T1w to estimate ChP volume.</jats:p><jats:p><jats:bold>Relevance statement</jats:bold> To estimate the ChP volume, CE-T1w can be replaced by non-CE T1w sequences because the error is acceptable, while FLAIR overestimates the ChP volume. This encourages the development of automatic tools for ChP segmentation, also improving the understanding of the role of the ChP volume in multiple sclerosis, promoting longitudinal studies.</jats:p><jats:p><jats:bold>Key points</jats:bold> • CE-T1w sequences are considered the reference standard for ChP manual segmentation.</jats:p><jats:p>• FLAIR sequences showed a higher CNR than T1w sequences but overestimated the ChP volume.</jats:p><jats:p>• Non-CE T1w sequences can be a surrogate of CE-T1w sequences for manual segmentation of ChP.</jats:p>
<jats:p><jats:bold>Graphical Abstract</jats:bold></jats:p>},
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pubstate = {published},
tppubtype = {article}
}
<jats:title>Abstract</jats:title><jats:p>We compared choroid plexus (ChP) manual segmentation on non-contrast-enhanced (non-CE) sequences and reference standard CE T1- weighted (T1w) sequences in 61 multiple sclerosis patients prospectively included. ChP was separately segmented on T1w, T2-weighted (T2w) fluid-attenuated inversion-recovery (FLAIR), and CE-T1w sequences. Inter-rater variability assessed on 10 subjects showed high reproducibility between sequences measured by intraclass correlation coefficient (T1w 0.93, FLAIR 0.93, CE-T1w 0.99). CE-T1w showed higher signal-to-noise ratio and contrast-to-noise ratio (CE-T1w 23.77 and 18.49, T1w 13.73 and 7.44, FLAIR 13.09 and 10.77, respectively). Manual segmentation of ChP resulted 3.073 ± 0.563 mL (mean ± standard deviation) on T1w, 3.787 ± 0.679 mL on FLAIR, and 2.984 ± 0.506 mL on CE-T1w images, with an error of 28.02 ± 19.02% for FLAIR and 3.52 ± 12.61% for T1w. FLAIR overestimated ChP volume compared to CE-T1w (<jats:italic>p</jats:italic> < 0.001). The Dice similarity coefficient of CE-T1w <jats:italic>versus</jats:italic> T1w and FLAIR was 0.67 ± 0.05 and 0.68 ± 0.05, respectively. Spatial error distribution per slice was calculated after nonlinear coregistration to the standard MNI152 space and showed a heterogeneous profile along the ChP especially near the fornix and the hippocampus. Quantitative analyses suggest T1w as a surrogate of CE-T1w to estimate ChP volume.</jats:p><jats:p><jats:bold>Relevance statement</jats:bold> To estimate the ChP volume, CE-T1w can be replaced by non-CE T1w sequences because the error is acceptable, while FLAIR overestimates the ChP volume. This encourages the development of automatic tools for ChP segmentation, also improving the understanding of the role of the ChP volume in multiple sclerosis, promoting longitudinal studies.</jats:p><jats:p><jats:bold>Key points</jats:bold> • CE-T1w sequences are considered the reference standard for ChP manual segmentation.</jats:p><jats:p>• FLAIR sequences showed a higher CNR than T1w sequences but overestimated the ChP volume.</jats:p><jats:p>• Non-CE T1w sequences can be a surrogate of CE-T1w sequences for manual segmentation of ChP.</jats:p>
<jats:p><jats:bold>Graphical Abstract</jats:bold></jats:p>
<jats:p><jats:bold>Graphical Abstract</jats:bold></jats:p>
Magliozzi, Roberta; Howell, Owain W; Nicholas, Richard; Cruciani, Carolina; Castellaro, Marco; Romualdi, Chiara; Rossi, Stefania; Pitteri, Marco; Benedetti, Maria Donata; Gajofatto, Alberto; Pizzini, Francesca B; Montemezzi, Stefania; Rasia, Sarah; Capra, Ruggero; Bertoldo, Alessandra; Facchiano, Francesco; Monaco, Salvatore; Reynolds, Richard; Calabrese, Massimiliano
Inflammatory intrathecal profiles and cortical damage in multiple sclerosis Journal Article
In: Annals of Neurology, vol. 83, no. 4, pp. 739-755, 2018.
@article{doi:10.1002/ana.25197,
title = {Inflammatory intrathecal profiles and cortical damage in multiple sclerosis},
author = {Roberta Magliozzi and Owain W Howell and Richard Nicholas and Carolina Cruciani and Marco Castellaro and Chiara Romualdi and Stefania Rossi and Marco Pitteri and Maria Donata Benedetti and Alberto Gajofatto and Francesca B Pizzini and Stefania Montemezzi and Sarah Rasia and Ruggero Capra and Alessandra Bertoldo and Francesco Facchiano and Salvatore Monaco and Richard Reynolds and Massimiliano Calabrese},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/ana.25197},
doi = {10.1002/ana.25197},
year = {2018},
date = {2018-01-01},
journal = {Annals of Neurology},
volume = {83},
number = {4},
pages = {739-755},
abstract = {Objective Gray matter (GM) damage and meningeal inflammation have been associated with early disease onset and a more aggressive disease course in multiple sclerosis (MS), but can these changes be identified in the patient early in the disease course? Methods To identify possible biomarkers linking meningeal inflammation, GM damage, and disease severity, gene and protein expression were analyzed in meninges and cerebrospinal fluid (CSF) from 27 postmortem secondary progressive MS and 14 control cases. Combined cytokine/chemokine CSF profiling and 3T magnetic resonance imaging (MRI) were performed at diagnosis in 2 independent cohorts of MS patients (35 and 38 subjects) and in 26 non-MS patients. Results Increased expression of proinflammatory cytokines (IFNγ, TNF, IL2, and IL22) and molecules related to sustained B-cell activity and lymphoid-neogenesis (CXCL13, CXCL10, LTα, IL6, and IL10) was detected in the meninges and CSF of postmortem MS cases with high levels of meningeal inflammation and GM demyelination. Similar proinflammatory patterns, including increased levels of CXCL13, TNF, IFNγ, CXCL12, IL6, IL8, and IL10, together with high levels of BAFF, APRIL, LIGHT, TWEAK, sTNFR1, sCD163, MMP2, and pentraxin III, were detected in the CSF of MS patients with higher levels of GM damage at diagnosis. Interpretation A common pattern of intrathecal (meninges and CSF) inflammatory profile strongly correlates with increased cortical pathology, both at the time of diagnosis and at death. These results suggest a role for detailed CSF analysis combined with MRI as a prognostic marker for more aggressive MS. Ann Neurol 2018 Ann Neurol 2018;83:739–755},
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pubstate = {published},
tppubtype = {article}
}
Objective Gray matter (GM) damage and meningeal inflammation have been associated with early disease onset and a more aggressive disease course in multiple sclerosis (MS), but can these changes be identified in the patient early in the disease course? Methods To identify possible biomarkers linking meningeal inflammation, GM damage, and disease severity, gene and protein expression were analyzed in meninges and cerebrospinal fluid (CSF) from 27 postmortem secondary progressive MS and 14 control cases. Combined cytokine/chemokine CSF profiling and 3T magnetic resonance imaging (MRI) were performed at diagnosis in 2 independent cohorts of MS patients (35 and 38 subjects) and in 26 non-MS patients. Results Increased expression of proinflammatory cytokines (IFNγ, TNF, IL2, and IL22) and molecules related to sustained B-cell activity and lymphoid-neogenesis (CXCL13, CXCL10, LTα, IL6, and IL10) was detected in the meninges and CSF of postmortem MS cases with high levels of meningeal inflammation and GM demyelination. Similar proinflammatory patterns, including increased levels of CXCL13, TNF, IFNγ, CXCL12, IL6, IL8, and IL10, together with high levels of BAFF, APRIL, LIGHT, TWEAK, sTNFR1, sCD163, MMP2, and pentraxin III, were detected in the CSF of MS patients with higher levels of GM damage at diagnosis. Interpretation A common pattern of intrathecal (meninges and CSF) inflammatory profile strongly correlates with increased cortical pathology, both at the time of diagnosis and at death. These results suggest a role for detailed CSF analysis combined with MRI as a prognostic marker for more aggressive MS. Ann Neurol 2018 Ann Neurol 2018;83:739–755
Brigadoi, Sabrina; Cutini, Simone; Meconi, Francesca; Castellaro, Marco; Sessa, Paola; Marangon, Mattia; Bertoldo, Alessandra; Joliceur, Pierre; Dell'Acqua, Roberto
On the Role of the Inferior Intraparietal Sulcus in Visual Working Memory for Lateralized Single-feature Objects Journal Article
In: J Cogn Neurosci, vol. 29, no. 2, pp. 337–351, 2017.
@article{pmid27626222,
title = {On the Role of the Inferior Intraparietal Sulcus in Visual Working Memory for Lateralized Single-feature Objects},
author = { Sabrina Brigadoi and Simone Cutini and Francesca Meconi and Marco Castellaro and Paola Sessa and Mattia Marangon and Alessandra Bertoldo and Pierre Joliceur and Roberto Dell'Acqua},
year = {2017},
date = {2017-02-01},
journal = {J Cogn Neurosci},
volume = {29},
number = {2},
pages = {337--351},
abstract = {A consolidated practice in cognitive neuroscience is to explore the properties of human visual working memory through the analysis of electromagnetic signals using cued change detection tasks. Under these conditions, EEG/MEG activity increments in the posterior parietal cortex scaling with the number of memoranda are often reported in the hemisphere contralateral to the objects' position in the memory array. This highly replicable finding clashes with several reported failures to observe compatible hemodynamic activity modulations using fMRI or fNIRS in comparable tasks. Here, we reconcile this apparent discrepancy by acquiring fMRI data on healthy participants and employing a cluster analysis to group voxels in the posterior parietal cortex based on their functional response. The analysis identified two distinct subpopulations of voxels in the intraparietal sulcus (IPS) showing a consistent functional response among participants. One subpopulation, located in the superior IPS, showed a bilateral response to the number of objects coded in visual working memory. A different subpopulation, located in the inferior IPS, showed an increased unilateral response when the objects were displayed contralaterally. The results suggest that a cluster of neurons in the inferior IPS is a candidate source of electromagnetic contralateral responses to working memory load in cued change detection tasks.},
keywords = {},
pubstate = {published},
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A consolidated practice in cognitive neuroscience is to explore the properties of human visual working memory through the analysis of electromagnetic signals using cued change detection tasks. Under these conditions, EEG/MEG activity increments in the posterior parietal cortex scaling with the number of memoranda are often reported in the hemisphere contralateral to the objects' position in the memory array. This highly replicable finding clashes with several reported failures to observe compatible hemodynamic activity modulations using fMRI or fNIRS in comparable tasks. Here, we reconcile this apparent discrepancy by acquiring fMRI data on healthy participants and employing a cluster analysis to group voxels in the posterior parietal cortex based on their functional response. The analysis identified two distinct subpopulations of voxels in the intraparietal sulcus (IPS) showing a consistent functional response among participants. One subpopulation, located in the superior IPS, showed a bilateral response to the number of objects coded in visual working memory. A different subpopulation, located in the inferior IPS, showed an increased unilateral response when the objects were displayed contralaterally. The results suggest that a cluster of neurons in the inferior IPS is a candidate source of electromagnetic contralateral responses to working memory load in cued change detection tasks.
Castellaro, Marco; Rizzo, Gaia; Tonietto, Matteo; Veronese, Mattia; Turkheimer, F. E.; Chappell, M. A.; Bertoldo, Alessandra
A Variational Bayesian inference method for parametric imaging of PET data Journal Article
In: Neuroimage, vol. 150, pp. 136–149, 2017.
@article{pmid28213113,
title = {A Variational Bayesian inference method for parametric imaging of PET data},
author = { Marco Castellaro and Gaia Rizzo and Matteo Tonietto and Mattia Veronese and F. E. Turkheimer and M. A. Chappell and Alessandra Bertoldo},
year = {2017},
date = {2017-02-01},
journal = {Neuroimage},
volume = {150},
pages = {136--149},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Calabrese, Massimiliano; Castellaro, Marco
Cortical Gray Matter MR Imaging in Multiple Sclerosis Journal Article
In: Neuroimaging Clinics of North America, 2017.
@article{calabrese2017cortical,
title = {Cortical Gray Matter MR Imaging in Multiple Sclerosis},
author = { Massimiliano Calabrese and Marco Castellaro},
year = {2017},
date = {2017-01-01},
journal = {Neuroimaging Clinics of North America},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Calabrese, Massimiliano; Castellaro, Marco; Bertoldo, Alessandra; Luca, Alberto De; Pizzini, Francesca Benedetta; Ricciardi, Giuseppe Kenneth; Pitteri, Marco; Zimatore, Sergio; Magliozzi, Roberta; Benedetti, M. D.; Manganotti, Paolo; Montemezzi, Stefania; Reynolds, Richard; Gajofatto, Alberto; Monaco, Salvatore
Epilepsy in multiple sclerosis: The role of temporal lobe damage Journal Article
In: Mult. Scler., 2016.
@article{pmid27260699,
title = {Epilepsy in multiple sclerosis: The role of temporal lobe damage},
author = { Massimiliano Calabrese and Marco Castellaro and Alessandra Bertoldo and Alberto De Luca and Francesca Benedetta Pizzini and Giuseppe Kenneth Ricciardi and Marco Pitteri and Sergio Zimatore and Roberta Magliozzi and M. D. Benedetti and Paolo Manganotti and Stefania Montemezzi and Richard Reynolds and Alberto Gajofatto and Salvatore Monaco},
year = {2016},
date = {2016-06-01},
journal = {Mult. Scler.},
abstract = {Although temporal lobe pathology may explain some of the symptoms of multiple sclerosis (MS), its role in the pathogenesis of seizures has not been clarified yet. To investigate the role of temporal lobe damage in MS patients suffering from epilepsy, by the application of advanced multimodal 3T magnetic resonance imaging (MRI) analysis. A total of 23 relapsing remitting MS patients who had epileptic seizures (RRMS/E) and 23 disease duration matched RRMS patients without any history of seizures were enrolled. Each patient underwent advanced 3T MRI protocol specifically conceived to evaluate grey matter (GM) damage. This includes grey matter lesions (GMLs) identification, evaluation of regional cortical thickness and indices derived from the Neurite Orientation Dispersion and Density Imaging model. Regional analysis revealed that in RRMS/E, the regions most affected by GMLs were the hippocampus (14.2%), the lateral temporal lobe (13.5%), the cingulate (10.0%) and the insula (8.4%). Cortical thinning and alteration of diffusion metrics were observed in several regions of temporal lobe, in insular cortex and in cingulate gyrus of RRMS/E compared to RRMS (p< 0.05 for all comparisons). Compared to RRMS, RRMS/E showed more severe damage of temporal lobe, which exceeds what would be expected on the basis of the global GM damage observed.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Although temporal lobe pathology may explain some of the symptoms of multiple sclerosis (MS), its role in the pathogenesis of seizures has not been clarified yet. To investigate the role of temporal lobe damage in MS patients suffering from epilepsy, by the application of advanced multimodal 3T magnetic resonance imaging (MRI) analysis. A total of 23 relapsing remitting MS patients who had epileptic seizures (RRMS/E) and 23 disease duration matched RRMS patients without any history of seizures were enrolled. Each patient underwent advanced 3T MRI protocol specifically conceived to evaluate grey matter (GM) damage. This includes grey matter lesions (GMLs) identification, evaluation of regional cortical thickness and indices derived from the Neurite Orientation Dispersion and Density Imaging model. Regional analysis revealed that in RRMS/E, the regions most affected by GMLs were the hippocampus (14.2%), the lateral temporal lobe (13.5%), the cingulate (10.0%) and the insula (8.4%). Cortical thinning and alteration of diffusion metrics were observed in several regions of temporal lobe, in insular cortex and in cingulate gyrus of RRMS/E compared to RRMS (p< 0.05 for all comparisons). Compared to RRMS, RRMS/E showed more severe damage of temporal lobe, which exceeds what would be expected on the basis of the global GM damage observed.
Peruzzo, Denis; Castellaro, Marco; Calabrese, Massimiliano; Veronese, Elisa; Rinaldi, Francesca; Bernardi, Valentina; Favaretto, Alice; Gallo, Paolo; Bertoldo, Alessandra
Heterogeneity of cortical lesions in multiple sclerosis: an MRI perfusion study. Journal Article
In: J. Cereb. Blood Flow Metab., vol. 33, no. 3, pp. 457–63, 2013, ISSN: 1559-7016.
@article{Peruzzo2013,
title = {Heterogeneity of cortical lesions in multiple sclerosis: an MRI perfusion study.},
author = {Peruzzo, Denis and Castellaro, Marco and Calabrese, Massimiliano and Veronese, Elisa and Rinaldi, Francesca and Bernardi, Valentina and Favaretto, Alice and Gallo, Paolo and Bertoldo, Alessandra},
url = {http://www.ncbi.nlm.nih.gov/pubmed/23250108},
issn = {1559-7016},
year = {2013},
date = {2013-01-01},
journal = {J. Cereb. Blood Flow Metab.},
volume = {33},
number = {3},
pages = {457--63},
publisher = {Nature Publishing Group},
abstract = {In this study, dynamic susceptibility contrast-magnetic resonance imaging (DSC-MRI) was used to quantify the cerebral blood flow (CBF), the cerebral blood volume (CBV), and the mean transit time (MTT) and to analyze the changes in cerebral perfusion associated with the cortical lesions in 44 patients with relapsing-remitting multiple sclerosis. The cortical lesions showed a statistically significant reduction in CBF and CBV compared with the normal-appearing gray matter, whereas there were no significant changes in the MTT. The reduced perfusion suggests a reduction of metabolism because of the loss of cortical neurons. A small population of outliers showing an increased CBF and/or CBV has also been detected. The presence of hyperperfused outliers may imply that perfusion could evolve during inflammation. These findings show that perfusion is altered in cortical lesions and that DSC-MRI can be a useful tool to investigate more deeply the evolution of cortical lesions in multiple sclerosis.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In this study, dynamic susceptibility contrast-magnetic resonance imaging (DSC-MRI) was used to quantify the cerebral blood flow (CBF), the cerebral blood volume (CBV), and the mean transit time (MTT) and to analyze the changes in cerebral perfusion associated with the cortical lesions in 44 patients with relapsing-remitting multiple sclerosis. The cortical lesions showed a statistically significant reduction in CBF and CBV compared with the normal-appearing gray matter, whereas there were no significant changes in the MTT. The reduced perfusion suggests a reduction of metabolism because of the loss of cortical neurons. A small population of outliers showing an increased CBF and/or CBV has also been detected. The presence of hyperperfused outliers may imply that perfusion could evolve during inflammation. These findings show that perfusion is altered in cortical lesions and that DSC-MRI can be a useful tool to investigate more deeply the evolution of cortical lesions in multiple sclerosis.
All Publications
2024
Visani, Valentina; Pizzini, Francesca B.; Natale, Valerio; Tamanti, Agnese; Anglani, Mariagiulia; Bertoldo, Alessandra; Calabrese, Massimiliano; Castellaro, Marco
Choroid plexus volume in multiple sclerosis can be estimated on structural MRI avoiding contrast injection Journal Article
In: Eur Radiol Exp, vol. 8, no. 1, 2024, ISSN: 2509-9280.
@article{Visani2024,
title = {Choroid plexus volume in multiple sclerosis can be estimated on structural MRI avoiding contrast injection},
author = {Valentina Visani and Francesca B. Pizzini and Valerio Natale and Agnese Tamanti and Mariagiulia Anglani and Alessandra Bertoldo and Massimiliano Calabrese and Marco Castellaro},
doi = {10.1186/s41747-024-00421-9},
issn = {2509-9280},
year = {2024},
date = {2024-12-00},
urldate = {2024-12-00},
journal = {Eur Radiol Exp},
volume = {8},
number = {1},
publisher = {Springer Science and Business Media LLC},
abstract = {<jats:title>Abstract</jats:title><jats:p>We compared choroid plexus (ChP) manual segmentation on non-contrast-enhanced (non-CE) sequences and reference standard CE T1- weighted (T1w) sequences in 61 multiple sclerosis patients prospectively included. ChP was separately segmented on T1w, T2-weighted (T2w) fluid-attenuated inversion-recovery (FLAIR), and CE-T1w sequences. Inter-rater variability assessed on 10 subjects showed high reproducibility between sequences measured by intraclass correlation coefficient (T1w 0.93, FLAIR 0.93, CE-T1w 0.99). CE-T1w showed higher signal-to-noise ratio and contrast-to-noise ratio (CE-T1w 23.77 and 18.49, T1w 13.73 and 7.44, FLAIR 13.09 and 10.77, respectively). Manual segmentation of ChP resulted 3.073 ± 0.563 mL (mean ± standard deviation) on T1w, 3.787 ± 0.679 mL on FLAIR, and 2.984 ± 0.506 mL on CE-T1w images, with an error of 28.02 ± 19.02% for FLAIR and 3.52 ± 12.61% for T1w. FLAIR overestimated ChP volume compared to CE-T1w (<jats:italic>p</jats:italic> < 0.001). The Dice similarity coefficient of CE-T1w <jats:italic>versus</jats:italic> T1w and FLAIR was 0.67 ± 0.05 and 0.68 ± 0.05, respectively. Spatial error distribution per slice was calculated after nonlinear coregistration to the standard MNI152 space and showed a heterogeneous profile along the ChP especially near the fornix and the hippocampus. Quantitative analyses suggest T1w as a surrogate of CE-T1w to estimate ChP volume.</jats:p><jats:p><jats:bold>Relevance statement</jats:bold> To estimate the ChP volume, CE-T1w can be replaced by non-CE T1w sequences because the error is acceptable, while FLAIR overestimates the ChP volume. This encourages the development of automatic tools for ChP segmentation, also improving the understanding of the role of the ChP volume in multiple sclerosis, promoting longitudinal studies.</jats:p><jats:p><jats:bold>Key points</jats:bold> • CE-T1w sequences are considered the reference standard for ChP manual segmentation.</jats:p><jats:p>• FLAIR sequences showed a higher CNR than T1w sequences but overestimated the ChP volume.</jats:p><jats:p>• Non-CE T1w sequences can be a surrogate of CE-T1w sequences for manual segmentation of ChP.</jats:p>
<jats:p><jats:bold>Graphical Abstract</jats:bold></jats:p>},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
<jats:title>Abstract</jats:title><jats:p>We compared choroid plexus (ChP) manual segmentation on non-contrast-enhanced (non-CE) sequences and reference standard CE T1- weighted (T1w) sequences in 61 multiple sclerosis patients prospectively included. ChP was separately segmented on T1w, T2-weighted (T2w) fluid-attenuated inversion-recovery (FLAIR), and CE-T1w sequences. Inter-rater variability assessed on 10 subjects showed high reproducibility between sequences measured by intraclass correlation coefficient (T1w 0.93, FLAIR 0.93, CE-T1w 0.99). CE-T1w showed higher signal-to-noise ratio and contrast-to-noise ratio (CE-T1w 23.77 and 18.49, T1w 13.73 and 7.44, FLAIR 13.09 and 10.77, respectively). Manual segmentation of ChP resulted 3.073 ± 0.563 mL (mean ± standard deviation) on T1w, 3.787 ± 0.679 mL on FLAIR, and 2.984 ± 0.506 mL on CE-T1w images, with an error of 28.02 ± 19.02% for FLAIR and 3.52 ± 12.61% for T1w. FLAIR overestimated ChP volume compared to CE-T1w (<jats:italic>p</jats:italic> < 0.001). The Dice similarity coefficient of CE-T1w <jats:italic>versus</jats:italic> T1w and FLAIR was 0.67 ± 0.05 and 0.68 ± 0.05, respectively. Spatial error distribution per slice was calculated after nonlinear coregistration to the standard MNI152 space and showed a heterogeneous profile along the ChP especially near the fornix and the hippocampus. Quantitative analyses suggest T1w as a surrogate of CE-T1w to estimate ChP volume.</jats:p><jats:p><jats:bold>Relevance statement</jats:bold> To estimate the ChP volume, CE-T1w can be replaced by non-CE T1w sequences because the error is acceptable, while FLAIR overestimates the ChP volume. This encourages the development of automatic tools for ChP segmentation, also improving the understanding of the role of the ChP volume in multiple sclerosis, promoting longitudinal studies.</jats:p><jats:p><jats:bold>Key points</jats:bold> • CE-T1w sequences are considered the reference standard for ChP manual segmentation.</jats:p><jats:p>• FLAIR sequences showed a higher CNR than T1w sequences but overestimated the ChP volume.</jats:p><jats:p>• Non-CE T1w sequences can be a surrogate of CE-T1w sequences for manual segmentation of ChP.</jats:p>
<jats:p><jats:bold>Graphical Abstract</jats:bold></jats:p>
<jats:p><jats:bold>Graphical Abstract</jats:bold></jats:p>
Boudreau, Mathieu; Karakuzu, Agah; Cohen-Adad, Julien; Bozkurt, Ecem; Carr, Madeline; Castellaro, Marco; Concha, Luis; Doneva, Mariya; Dual, Seraina A.; Ensworth, Alex; Foias, Alexandru; Fortier, Véronique; Gabr, Refaat E.; Gilbert, Guillaume; Glide-Hurst, Carri K.; Grech-Sollars, Matthew; Hu, Siyuan; Jalnefjord, Oscar; Jovicich, Jorge; Keskin, Kübra; Koken, Peter; Kolokotronis, Anastasia; Kukran, Simran; Lee, Nam. G.; Levesque, Ives R.; Li, Bochao; Ma, Dan; Mädler, Burkhard; Maforo, Nyasha; Near, Jamie; Pasaye, Erick; Ramirez-Manzanares, Alonso; Statton, Ben; Stehning, Christian; Tambalo, Stefano; Tian, Ye; Wang, Chenyang; Weis, Kilian; Zakariaei, Niloufar; Zhang, Shuo; Zhao, Ziwei; Stikov, Nikola
Paper is not enough: Crowdsourcing the T1 mappingcommon ground via the ISMRM reproducibility challenge Unpublished
2024.
@unpublished{Boudreau2024,
title = {Paper is not enough: Crowdsourcing the T1 mappingcommon ground via the ISMRM reproducibility challenge},
author = {Mathieu Boudreau and Agah Karakuzu and Julien Cohen-Adad and Ecem Bozkurt and Madeline Carr and Marco Castellaro and Luis Concha and Mariya Doneva and Seraina A. Dual and Alex Ensworth and Alexandru Foias and Véronique Fortier and Refaat E. Gabr and Guillaume Gilbert and Carri K. Glide-Hurst and Matthew Grech-Sollars and Siyuan Hu and Oscar Jalnefjord and Jorge Jovicich and Kübra Keskin and Peter Koken and Anastasia Kolokotronis and Simran Kukran and Nam. G. Lee and Ives R. Levesque and Bochao Li and Dan Ma and Burkhard Mädler and Nyasha Maforo and Jamie Near and Erick Pasaye and Alonso Ramirez-Manzanares and Ben Statton and Christian Stehning and Stefano Tambalo and Ye Tian and Chenyang Wang and Kilian Weis and Niloufar Zakariaei and Shuo Zhang and Ziwei Zhao and Nikola Stikov},
url = {https://neurolibre.org/papers/10.55458/neurolibre.00023},
doi = {10.55458/neurolibre.00023},
year = {2024},
date = {2024-02-01},
urldate = {2024-02-01},
publisher = {Centre de Recherche de l'Institut Universitaire de Geriatrie de Montreal},
keywords = {},
pubstate = {published},
tppubtype = {unpublished}
}
Bajrami, Albulena; Tamanti, Agnese; Peloso, Angela; Ziccardi, Stefano; Guandalini, Maddalena; Calderone, Milena; Castellaro, Marco; Pizzini, Francesca B.; Montemezzi, Stefania; Marastoni, Damiano; Calabrese, Massimiliano
Ocrelizumab reduces cortical and deep grey matter loss compared to the S1P-receptor modulator in multiple sclerosis Journal Article
In: J Neurol, 2024, ISSN: 1432-1459.
@article{Bajrami2024,
title = {Ocrelizumab reduces cortical and deep grey matter loss compared to the S1P-receptor modulator in multiple sclerosis},
author = {Albulena Bajrami and Agnese Tamanti and Angela Peloso and Stefano Ziccardi and Maddalena Guandalini and Milena Calderone and Marco Castellaro and Francesca B. Pizzini and Stefania Montemezzi and Damiano Marastoni and Massimiliano Calabrese},
doi = {10.1007/s00415-023-12179-y},
issn = {1432-1459},
year = {2024},
date = {2024-01-30},
urldate = {2024-01-30},
journal = {J Neurol},
publisher = {Springer Science and Business Media LLC},
abstract = {<jats:title>Abstract</jats:title><jats:sec>
<jats:title>Introduction</jats:title>
<jats:p>Ocrelizumab (OCR) and Fingolimod (FGL) are two high-efficacy treatments in multiple sclerosis which, besides their strong anti-inflammatory activity, may limit neurodegeneration.</jats:p>
</jats:sec><jats:sec>
<jats:title>Aim</jats:title>
<jats:p>To compare the effect of OCR and FGL on clinical and MRI endpoints.</jats:p>
</jats:sec><jats:sec>
<jats:title>Methods</jats:title>
<jats:p>95 relapsing–remitting patients (57 OCR, 38 FGL) clinically followed for 36 months underwent a 3-Tesla MRI at baseline and after 24 months. The annualized relapse rate, EDSS, new cortical/white matter lesions and regional cortical and deep grey matter volume loss were evaluated.</jats:p>
</jats:sec><jats:sec>
<jats:title>Results</jats:title>
<jats:p>OCR reduced the relapse rate from 0.48 to 0.04, FGL from 0.32 to 0.05 (both <jats:italic>p</jats:italic> < 0.001). Compared to FGL, OCR-group experienced fewer new white matter lesions (12% vs 32%, <jats:italic>p</jats:italic> = 0.005), no differences in new cortical lesions, lower deep grey matter volume loss (− 0.12% vs − 0.66%; <jats:italic>p</jats:italic> = 0.002, Cohen’s <jats:italic>d</jats:italic> = 0.54), lower global cortical thickness change (− 0.45% vs − 0.70%; <jats:italic>p</jats:italic> = 0.036; <jats:italic>d</jats:italic> = 0.42) and reduced cortical thinning/volume loss in several regions of interests, including those of parietal gyrus (<jats:italic>d</jats:italic>-range = 0.65–0.71), frontal gyrus (<jats:italic>d</jats:italic>-range = 0.47–0.60), cingulate (<jats:italic>d</jats:italic>-range = 0.41–0.72), insula (<jats:italic>d</jats:italic> = 0.36), cerebellum (cortex <jats:italic>d</jats:italic> = 0.72, white matter <jats:italic>d</jats:italic> = 0.44), putamen (<jats:italic>d</jats:italic> = 0.35) and thalamus (<jats:italic>d</jats:italic> = 0.31). The effect on some regional thickness changes was confirmed in patients without focal lesions.</jats:p>
</jats:sec><jats:sec>
<jats:title>Conclusions</jats:title>
<jats:p>When compared with FGL, patients receiving OCR showed greater suppression of focal MRI lesions accumulation and lower cortical and deep grey matter volume loss.</jats:p>
</jats:sec>},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
<jats:title>Abstract</jats:title><jats:sec>
<jats:title>Introduction</jats:title>
<jats:p>Ocrelizumab (OCR) and Fingolimod (FGL) are two high-efficacy treatments in multiple sclerosis which, besides their strong anti-inflammatory activity, may limit neurodegeneration.</jats:p>
</jats:sec><jats:sec>
<jats:title>Aim</jats:title>
<jats:p>To compare the effect of OCR and FGL on clinical and MRI endpoints.</jats:p>
</jats:sec><jats:sec>
<jats:title>Methods</jats:title>
<jats:p>95 relapsing–remitting patients (57 OCR, 38 FGL) clinically followed for 36 months underwent a 3-Tesla MRI at baseline and after 24 months. The annualized relapse rate, EDSS, new cortical/white matter lesions and regional cortical and deep grey matter volume loss were evaluated.</jats:p>
</jats:sec><jats:sec>
<jats:title>Results</jats:title>
<jats:p>OCR reduced the relapse rate from 0.48 to 0.04, FGL from 0.32 to 0.05 (both <jats:italic>p</jats:italic> < 0.001). Compared to FGL, OCR-group experienced fewer new white matter lesions (12% vs 32%, <jats:italic>p</jats:italic> = 0.005), no differences in new cortical lesions, lower deep grey matter volume loss (− 0.12% vs − 0.66%; <jats:italic>p</jats:italic> = 0.002, Cohen’s <jats:italic>d</jats:italic> = 0.54), lower global cortical thickness change (− 0.45% vs − 0.70%; <jats:italic>p</jats:italic> = 0.036; <jats:italic>d</jats:italic> = 0.42) and reduced cortical thinning/volume loss in several regions of interests, including those of parietal gyrus (<jats:italic>d</jats:italic>-range = 0.65–0.71), frontal gyrus (<jats:italic>d</jats:italic>-range = 0.47–0.60), cingulate (<jats:italic>d</jats:italic>-range = 0.41–0.72), insula (<jats:italic>d</jats:italic> = 0.36), cerebellum (cortex <jats:italic>d</jats:italic> = 0.72, white matter <jats:italic>d</jats:italic> = 0.44), putamen (<jats:italic>d</jats:italic> = 0.35) and thalamus (<jats:italic>d</jats:italic> = 0.31). The effect on some regional thickness changes was confirmed in patients without focal lesions.</jats:p>
</jats:sec><jats:sec>
<jats:title>Conclusions</jats:title>
<jats:p>When compared with FGL, patients receiving OCR showed greater suppression of focal MRI lesions accumulation and lower cortical and deep grey matter volume loss.</jats:p>
</jats:sec>
<jats:title>Introduction</jats:title>
<jats:p>Ocrelizumab (OCR) and Fingolimod (FGL) are two high-efficacy treatments in multiple sclerosis which, besides their strong anti-inflammatory activity, may limit neurodegeneration.</jats:p>
</jats:sec><jats:sec>
<jats:title>Aim</jats:title>
<jats:p>To compare the effect of OCR and FGL on clinical and MRI endpoints.</jats:p>
</jats:sec><jats:sec>
<jats:title>Methods</jats:title>
<jats:p>95 relapsing–remitting patients (57 OCR, 38 FGL) clinically followed for 36 months underwent a 3-Tesla MRI at baseline and after 24 months. The annualized relapse rate, EDSS, new cortical/white matter lesions and regional cortical and deep grey matter volume loss were evaluated.</jats:p>
</jats:sec><jats:sec>
<jats:title>Results</jats:title>
<jats:p>OCR reduced the relapse rate from 0.48 to 0.04, FGL from 0.32 to 0.05 (both <jats:italic>p</jats:italic> < 0.001). Compared to FGL, OCR-group experienced fewer new white matter lesions (12% vs 32%, <jats:italic>p</jats:italic> = 0.005), no differences in new cortical lesions, lower deep grey matter volume loss (− 0.12% vs − 0.66%; <jats:italic>p</jats:italic> = 0.002, Cohen’s <jats:italic>d</jats:italic> = 0.54), lower global cortical thickness change (− 0.45% vs − 0.70%; <jats:italic>p</jats:italic> = 0.036; <jats:italic>d</jats:italic> = 0.42) and reduced cortical thinning/volume loss in several regions of interests, including those of parietal gyrus (<jats:italic>d</jats:italic>-range = 0.65–0.71), frontal gyrus (<jats:italic>d</jats:italic>-range = 0.47–0.60), cingulate (<jats:italic>d</jats:italic>-range = 0.41–0.72), insula (<jats:italic>d</jats:italic> = 0.36), cerebellum (cortex <jats:italic>d</jats:italic> = 0.72, white matter <jats:italic>d</jats:italic> = 0.44), putamen (<jats:italic>d</jats:italic> = 0.35) and thalamus (<jats:italic>d</jats:italic> = 0.31). The effect on some regional thickness changes was confirmed in patients without focal lesions.</jats:p>
</jats:sec><jats:sec>
<jats:title>Conclusions</jats:title>
<jats:p>When compared with FGL, patients receiving OCR showed greater suppression of focal MRI lesions accumulation and lower cortical and deep grey matter volume loss.</jats:p>
</jats:sec>
2023
Boudreau, Mathieu; Karakuzu, Agah; Cohen-Adad, Julien; Bozkurt, Ecem; Carr, Madeline; Castellaro, Marco; Concha, Luis; Doneva, Mariya; Dual, Seraina; Ensworth, Alex; Foias, Alexandru; Fortier, Véronique; Gabr, Refaat E.; Gilbert, Guillaume; Glide-Hurst, Carri K.; Grech-Sollars, Matthew; Hu, Siyuan; Jalnefjord, Oscar; Jovicich, Jorge; Keskin, Kübra; Koken, Peter; Kolokotronis, Anastasia; Kukran, Simran; Lee, Nam. G.; Levesque, Ives R.; Li, Bochao; Ma, Dan; Mädler, Burkhard; Maforo, Nyasha; Near, Jamie; Pasaye, Erick; Ramirez-Manzanares, Alonso; Statton, Ben; Stehning, Christian; Tambalo, Stefano; Tian, Ye; Wang, Chenyang; Weis, Kilian; Zakariaei, Niloufar; Zhang, Shuo; Zhao, Ziwei; Stikov, Nikola
2023.
@unpublished{Boudreau2023,
title = {Results of the ISMRM 2020 joint Reproducible Research& Quantitative MR study groups reproducibility challenge on phantomand human brain T1 mapping},
author = {Mathieu Boudreau and Agah Karakuzu and Julien Cohen-Adad and Ecem Bozkurt and Madeline Carr and Marco Castellaro and Luis Concha and Mariya Doneva and Seraina Dual and Alex Ensworth and Alexandru Foias and Véronique Fortier and Refaat E. Gabr and Guillaume Gilbert and Carri K. Glide-Hurst and Matthew Grech-Sollars and Siyuan Hu and Oscar Jalnefjord and Jorge Jovicich and Kübra Keskin and Peter Koken and Anastasia Kolokotronis and Simran Kukran and Nam. G. Lee and Ives R. Levesque and Bochao Li and Dan Ma and Burkhard Mädler and Nyasha Maforo and Jamie Near and Erick Pasaye and Alonso Ramirez-Manzanares and Ben Statton and Christian Stehning and Stefano Tambalo and Ye Tian and Chenyang Wang and Kilian Weis and Niloufar Zakariaei and Shuo Zhang and Ziwei Zhao and Nikola Stikov},
url = {https://neurolibre.org/papers/10.55458/neurolibre.00014},
doi = {10.55458/neurolibre.00014},
year = {2023},
date = {2023-10-09},
urldate = {2023-10-09},
publisher = {Centre de Recherche de l'Institut Universitaire de Geriatrie de Montreal},
keywords = {},
pubstate = {published},
tppubtype = {unpublished}
}
Bouman, Piet M.; Noteboom, Samantha; Santos, Fernando A. Nobrega; Beck, Erin S.; Bliault, Gregory; Castellaro, Marco; Calabrese, Massimiliano; Chard, Declan T.; Eichinger, Paul; Filippi, Massimo; Inglese, Matilde; Lapucci, Caterina; Marciniak, Andrzej; Moraal, Bastiaan; Pinzon, Alfredo Morales; Mühlau, Mark; Preziosa, Paolo; Reich, Daniel S.; Rocca, Maria A.; Schoonheim, Menno M.; Twisk, Jos W. R.; Wiestler, Benedict; Jonkman, Laura E.; Guttmann, Charles R. G.; Geurts, Jeroen J. G.; Steenwijk, Martijn D.
Multicenter Evaluation of AI-generated DIR and PSIR for Cortical and Juxtacortical Multiple Sclerosis Lesion Detection Journal Article
In: Radiology, vol. 307, no. 2, 2023, ISSN: 1527-1315.
@article{Bouman2023,
title = {Multicenter Evaluation of AI-generated DIR and PSIR for Cortical and Juxtacortical Multiple Sclerosis Lesion Detection},
author = {Piet M. Bouman and Samantha Noteboom and Fernando A. Nobrega Santos and Erin S. Beck and Gregory Bliault and Marco Castellaro and Massimiliano Calabrese and Declan T. Chard and Paul Eichinger and Massimo Filippi and Matilde Inglese and Caterina Lapucci and Andrzej Marciniak and Bastiaan Moraal and Alfredo Morales Pinzon and Mark Mühlau and Paolo Preziosa and Daniel S. Reich and Maria A. Rocca and Menno M. Schoonheim and Jos W. R. Twisk and Benedict Wiestler and Laura E. Jonkman and Charles R. G. Guttmann and Jeroen J. G. Geurts and Martijn D. Steenwijk},
doi = {10.1148/radiol.221425},
issn = {1527-1315},
year = {2023},
date = {2023-04-01},
urldate = {2023-04-01},
journal = {Radiology},
volume = {307},
number = {2},
publisher = {Radiological Society of North America (RSNA)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2022
Clement, Patricia; Castellaro, Marco; Okell, Thomas W.; Thomas, David L.; Vandemaele, Pieter; Elgayar, Sara; Oliver-Taylor, Aaron; Kirk, Thomas; Woods, Joseph G.; Vos, Sjoerd B.; Kuijer, Joost P. A.; Achten, Eric; van Osch, Matthias J. P.; Appelhoff, Stefan; Blair, Ross; Feingold, Franklin; Gau, Rémi; Markiewicz, Christopher J.; Salo, Taylor; Detre, John A.; Lu, Hanzhang; Alsop, David C.; Chappell, Michael A.; Hernandez-Garcia, Luis; Petr, Jan; Mutsaerts, Henk J. M. M.
ASL-BIDS, the brain imaging data structure extension for arterial spin labeling Journal Article
In: Sci Data, vol. 9, no. 1, 2022, ISSN: 2052-4463.
@article{Clement2022,
title = {ASL-BIDS, the brain imaging data structure extension for arterial spin labeling},
author = {Patricia Clement and Marco Castellaro and Thomas W. Okell and David L. Thomas and Pieter Vandemaele and Sara Elgayar and Aaron Oliver-Taylor and Thomas Kirk and Joseph G. Woods and Sjoerd B. Vos and Joost P. A. Kuijer and Eric Achten and Matthias J. P. van Osch and Stefan Appelhoff and Ross Blair and Franklin Feingold and Rémi Gau and Christopher J. Markiewicz and Taylor Salo and John A. Detre and Hanzhang Lu and David C. Alsop and Michael A. Chappell and Luis Hernandez-Garcia and Jan Petr and Henk J. M. M. Mutsaerts},
doi = {10.1038/s41597-022-01615-9},
issn = {2052-4463},
year = {2022},
date = {2022-12-00},
urldate = {2022-12-00},
journal = {Sci Data},
volume = {9},
number = {1},
publisher = {Springer Science and Business Media LLC},
abstract = {<jats:title>Abstract</jats:title><jats:p>Arterial spin labeling (ASL) is a non-invasive MRI technique that allows for quantitative measurement of cerebral perfusion. Incomplete or inaccurate reporting of acquisition parameters complicates quantification, analysis, and sharing of ASL data, particularly for studies across multiple sites, platforms, and ASL methods. There is a strong need for standardization of ASL data storage, including acquisition metadata. Recently, ASL-BIDS, the BIDS extension for ASL, was developed and released in BIDS 1.5.0. This manuscript provides an overview of the development and design choices of this first ASL-BIDS extension, which is mainly aimed at clinical ASL applications. Discussed are the structure of the ASL data, focussing on storage order of the ASL time series and implementation of calibration approaches, unit scaling, ASL-related BIDS fields, and storage of the labeling plane information. Additionally, an overview of ASL-BIDS compatible conversion and ASL analysis software and ASL example datasets in BIDS format is provided. We anticipate that large-scale adoption of ASL-BIDS will improve the reproducibility of ASL research.</jats:p>},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
<jats:title>Abstract</jats:title><jats:p>Arterial spin labeling (ASL) is a non-invasive MRI technique that allows for quantitative measurement of cerebral perfusion. Incomplete or inaccurate reporting of acquisition parameters complicates quantification, analysis, and sharing of ASL data, particularly for studies across multiple sites, platforms, and ASL methods. There is a strong need for standardization of ASL data storage, including acquisition metadata. Recently, ASL-BIDS, the BIDS extension for ASL, was developed and released in BIDS 1.5.0. This manuscript provides an overview of the development and design choices of this first ASL-BIDS extension, which is mainly aimed at clinical ASL applications. Discussed are the structure of the ASL data, focussing on storage order of the ASL time series and implementation of calibration approaches, unit scaling, ASL-related BIDS fields, and storage of the labeling plane information. Additionally, an overview of ASL-BIDS compatible conversion and ASL analysis software and ASL example datasets in BIDS format is provided. We anticipate that large-scale adoption of ASL-BIDS will improve the reproducibility of ASL research.</jats:p>
Marastoni, Damiano; Pisani, Anna I.; Schiavi, Gianmarco; Mazziotti, Valentina; Castellaro, Marco; Tamanti, Agnese; Bosello, Francesca; Crescenzo, Francesco; Ricciardi, Giuseppe K.; Montemezzi, Stefania; Pizzini, Francesca B.; Calabrese, Massimiliano
CSF TNF and osteopontin levels correlate with the response to dimethyl fumarate in early multiple sclerosis Journal Article
In: Ther Adv Neurol Disord, vol. 15, 2022, ISSN: 1756-2864.
@article{Marastoni2022b,
title = {CSF TNF and osteopontin levels correlate with the response to dimethyl fumarate in early multiple sclerosis},
author = {Damiano Marastoni and Anna I. Pisani and Gianmarco Schiavi and Valentina Mazziotti and Marco Castellaro and Agnese Tamanti and Francesca Bosello and Francesco Crescenzo and Giuseppe K. Ricciardi and Stefania Montemezzi and Francesca B. Pizzini and Massimiliano Calabrese},
doi = {10.1177/17562864221092124},
issn = {1756-2864},
year = {2022},
date = {2022-01-00},
urldate = {2022-01-00},
journal = {Ther Adv Neurol Disord},
volume = {15},
publisher = {SAGE Publications},
abstract = {<jats:sec><jats:title>Background:</jats:title><jats:p> Disease activity in the first years after a diagnosis of relapsing-remitting multiple sclerosis (RRMS) is a negative prognostic factor for long-term disability. Markers of both clinical and radiological responses to disease-modifying therapies (DMTs) are advocated. </jats:p></jats:sec><jats:sec><jats:title>Objective:</jats:title><jats:p> The objective of this study is to estimate the value of cerebrospinal fluid (CSF) inflammatory markers at the time of diagnosis in predicting the disease activity in treatment-naïve multiple sclerosis (MS) patients exposed to dimethyl fumarate (DMF). </jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p> In total, 48 RRMS patients (31 females/17 males) treated with DMF after the diagnosis were included in this 2-year longitudinal study. All patients underwent a CSF examination, regular clinical and 3T magnetic resonance imaging (MRI) scans that included the assessment of white matter (WM) lesions, cortical lesions (CLs) and global cortical thickness. CSF levels of 10 pro-inflammatory markers – CXCL13 [chemokine (C-X-C motif) ligand 13 or B lymphocyte chemoattractant], CXCL12 (stromal cell-derived factor or C-X-C motif chemokine 12), tumour necrosis factor (TNF), APRIL (a proliferation-inducing ligand, or tumour necrosis factor ligand superfamily member 13), LIGHT (tumour necrosis factor ligand superfamily member 14 or tumour necrosis factor superfamily member 14), interferon (IFN) gamma, interleukin 12 (IL-12), osteopontin, sCD163 [soluble-CD163 (cluster of differentiation 163)] and Chitinase3-like1 – were assessed using immune-assay multiplex techniques. The combined three-domain status of ‘no evidence of disease activity’ (NEDA-3) was defined by no relapses, no disability worsening and no MRI activity, including CLs. </jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p> Twenty patients (42%) reached the NEDA-3 status; patients with disease activity showed higher CSF TNF ( p = 0.009), osteopontin ( p = 0.005), CXCL12 ( p = 0.037), CXCL13 ( p = 0.040) and IFN gamma levels ( p = 0.019) compared with NEDA-3 patients. After applying a random forest approach, TNF and osteopontin revealed the most important variables associated with the NEDA-3 status. Six molecules that emerged at the random forest approach were added in a multivariate regression model with demographic, clinical and MRI measures of WM and grey matter damage as independent variables. TNF levels confirmed to be associated with the absence of disease activity: odds ratio (OR) = 0.25, CI% = 0.04–0.77. </jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p> CSF inflammatory markers may provide prognostic information in predicting disease activity in the first years after DMF initiation. CSF TNF levels are a possible candidate in predicting treatment response, in addition to clinical, demographic and MRI variables. </jats:p></jats:sec>},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
<jats:sec><jats:title>Background:</jats:title><jats:p> Disease activity in the first years after a diagnosis of relapsing-remitting multiple sclerosis (RRMS) is a negative prognostic factor for long-term disability. Markers of both clinical and radiological responses to disease-modifying therapies (DMTs) are advocated. </jats:p></jats:sec><jats:sec><jats:title>Objective:</jats:title><jats:p> The objective of this study is to estimate the value of cerebrospinal fluid (CSF) inflammatory markers at the time of diagnosis in predicting the disease activity in treatment-naïve multiple sclerosis (MS) patients exposed to dimethyl fumarate (DMF). </jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p> In total, 48 RRMS patients (31 females/17 males) treated with DMF after the diagnosis were included in this 2-year longitudinal study. All patients underwent a CSF examination, regular clinical and 3T magnetic resonance imaging (MRI) scans that included the assessment of white matter (WM) lesions, cortical lesions (CLs) and global cortical thickness. CSF levels of 10 pro-inflammatory markers – CXCL13 [chemokine (C-X-C motif) ligand 13 or B lymphocyte chemoattractant], CXCL12 (stromal cell-derived factor or C-X-C motif chemokine 12), tumour necrosis factor (TNF), APRIL (a proliferation-inducing ligand, or tumour necrosis factor ligand superfamily member 13), LIGHT (tumour necrosis factor ligand superfamily member 14 or tumour necrosis factor superfamily member 14), interferon (IFN) gamma, interleukin 12 (IL-12), osteopontin, sCD163 [soluble-CD163 (cluster of differentiation 163)] and Chitinase3-like1 – were assessed using immune-assay multiplex techniques. The combined three-domain status of ‘no evidence of disease activity’ (NEDA-3) was defined by no relapses, no disability worsening and no MRI activity, including CLs. </jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p> Twenty patients (42%) reached the NEDA-3 status; patients with disease activity showed higher CSF TNF ( p = 0.009), osteopontin ( p = 0.005), CXCL12 ( p = 0.037), CXCL13 ( p = 0.040) and IFN gamma levels ( p = 0.019) compared with NEDA-3 patients. After applying a random forest approach, TNF and osteopontin revealed the most important variables associated with the NEDA-3 status. Six molecules that emerged at the random forest approach were added in a multivariate regression model with demographic, clinical and MRI measures of WM and grey matter damage as independent variables. TNF levels confirmed to be associated with the absence of disease activity: odds ratio (OR) = 0.25, CI% = 0.04–0.77. </jats:p></jats:sec><jats:sec><jats:title>Conclusion:</jats:title><jats:p> CSF inflammatory markers may provide prognostic information in predicting disease activity in the first years after DMF initiation. CSF TNF levels are a possible candidate in predicting treatment response, in addition to clinical, demographic and MRI variables. </jats:p></jats:sec>
2019
Baro, Valentina; Landi, Andrea; Brigadoi, Sabrina; Castellaro, Marco; Moretto, Manuela; Anglani, Mariagiulia; Ermani, Mario; Causin, Francesco; Denaro, Luca; Bertoldo, Alessandra; others,
Preoperative prediction of facial nerve in patients with Vestibular Schwannomas: the role of diffusion tensor imaging. A systematic review Journal Article
In: World neurosurgery, 2019.
@article{baro2019preoperative,
title = {Preoperative prediction of facial nerve in patients with Vestibular Schwannomas: the role of diffusion tensor imaging. A systematic review},
author = {Valentina Baro and Andrea Landi and Sabrina Brigadoi and Marco Castellaro and Manuela Moretto and Mariagiulia Anglani and Mario Ermani and Francesco Causin and Luca Denaro and Alessandra Bertoldo and others},
year = {2019},
date = {2019-01-01},
journal = {World neurosurgery},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Magliozzi, R; Marastoni, D; Rossi, S; Castellaro, M; Mazziotti, V; Pitteri, M; Gajofatto, A; Monaco, S; Benedetti, MD; Calabrese, M
Increase of CSF inflammatory profile in a case of highly active multiple sclerosis Journal Article
In: BMC neurology, vol. 19, no. 1, pp. 1–5, 2019.
@article{magliozzi2019increase,
title = {Increase of CSF inflammatory profile in a case of highly active multiple sclerosis},
author = {R Magliozzi and D Marastoni and S Rossi and M Castellaro and V Mazziotti and M Pitteri and A Gajofatto and S Monaco and MD Benedetti and M Calabrese},
year = {2019},
date = {2019-01-01},
journal = {BMC neurology},
volume = {19},
number = {1},
pages = {1--5},
publisher = {BioMed Central},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Magliozzi, Roberta; Hametner, Simon; Facchiano, Francesco; Marastoni, Damiano; Rossi, Stefania; Castellaro, Marco; Poli, Alberto; Lattanzi, Federico; Visconti, Andrea; Nicholas, Richard; others,
Iron homeostasis, complement, and coagulation cascade as CSF signature of cortical lesions in early multiple sclerosis Journal Article
In: Annals of clinical and translational neurology, 2019.
@article{magliozzi2019iron,
title = {Iron homeostasis, complement, and coagulation cascade as CSF signature of cortical lesions in early multiple sclerosis},
author = {Roberta Magliozzi and Simon Hametner and Francesco Facchiano and Damiano Marastoni and Stefania Rossi and Marco Castellaro and Alberto Poli and Federico Lattanzi and Andrea Visconti and Richard Nicholas and others},
year = {2019},
date = {2019-01-01},
journal = {Annals of clinical and translational neurology},
publisher = {John Wiley & Sons, Ltd},
keywords = {},
pubstate = {published},
tppubtype = {article}
}