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Bajrami A, Tamanti A, Peloso A, Ziccardi S, Guandalini M, Calderone M, Castellaro M, Pizzini FB, Montemezzi S, Marastoni D, Calabrese M. Ocrelizumab reduces cortical and deep grey matter loss compared to the S1P-receptor modulator in multiple sclerosis. J Neurol 2024; 271:2149-2158. [PMID: 38289534 PMCID: PMC11055717 DOI: 10.1007/s00415-023-12179-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 12/26/2023] [Accepted: 12/27/2023] [Indexed: 04/28/2024]
Abstract
INTRODUCTION Ocrelizumab (OCR) and Fingolimod (FGL) are two high-efficacy treatments in multiple sclerosis which, besides their strong anti-inflammatory activity, may limit neurodegeneration. AIM To compare the effect of OCR and FGL on clinical and MRI endpoints. METHODS 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. RESULTS OCR reduced the relapse rate from 0.48 to 0.04, FGL from 0.32 to 0.05 (both p < 0.001). Compared to FGL, OCR-group experienced fewer new white matter lesions (12% vs 32%, p = 0.005), no differences in new cortical lesions, lower deep grey matter volume loss (- 0.12% vs - 0.66%; p = 0.002, Cohen's d = 0.54), lower global cortical thickness change (- 0.45% vs - 0.70%; p = 0.036; d = 0.42) and reduced cortical thinning/volume loss in several regions of interests, including those of parietal gyrus (d-range = 0.65-0.71), frontal gyrus (d-range = 0.47-0.60), cingulate (d-range = 0.41-0.72), insula (d = 0.36), cerebellum (cortex d = 0.72, white matter d = 0.44), putamen (d = 0.35) and thalamus (d = 0.31). The effect on some regional thickness changes was confirmed in patients without focal lesions. CONCLUSIONS When compared with FGL, patients receiving OCR showed greater suppression of focal MRI lesions accumulation and lower cortical and deep grey matter volume loss.
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Affiliation(s)
- Albulena Bajrami
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Policlinico "G.B. Rossi" Borgo Roma Piazzale L.A. Scuro, 10, 37134, Verona, Italy
- Neurology Unit, Ospedale S. Chiara, Azienda Provinciale per i Servizi Sanitari (APSS), Largo Medaglie d'oro, 9, 38122, Trento, Italy
| | - Agnese Tamanti
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Policlinico "G.B. Rossi" Borgo Roma Piazzale L.A. Scuro, 10, 37134, Verona, Italy
| | - Angela Peloso
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Policlinico "G.B. Rossi" Borgo Roma Piazzale L.A. Scuro, 10, 37134, Verona, Italy
| | - Stefano Ziccardi
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Policlinico "G.B. Rossi" Borgo Roma Piazzale L.A. Scuro, 10, 37134, Verona, Italy
| | - Maddalena Guandalini
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Policlinico "G.B. Rossi" Borgo Roma Piazzale L.A. Scuro, 10, 37134, Verona, Italy
| | - Milena Calderone
- Radiology Unit, Cmsr Veneto Medica S.R.L., Altavilla Vicentina, via Vicenza, 204, 36077, Vicenza, Italy
| | - Marco Castellaro
- Department of Information Engineering, University of Padova, Via Giovanni Gradenigo, 6b , 35131, Padua, Italy
| | - Francesca B Pizzini
- Department of Diagnostics and Public Health, University of Verona, Policlinico "G.B. Rossi" Borgo Roma Piazzale L.A. Scuro, 10, 37134, Verona, Italy
| | - Stefania Montemezzi
- Department of Diagnostics and Public Health, University of Verona, Policlinico "G.B. Rossi" Borgo Roma Piazzale L.A. Scuro, 10, 37134, Verona, Italy
| | - Damiano Marastoni
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Policlinico "G.B. Rossi" Borgo Roma Piazzale L.A. Scuro, 10, 37134, Verona, Italy
| | - Massimiliano Calabrese
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Policlinico "G.B. Rossi" Borgo Roma Piazzale L.A. Scuro, 10, 37134, Verona, Italy.
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Frisoni GB, Festari C, Massa F, Cotta Ramusino M, Orini S, Aarsland D, Agosta F, Babiloni C, Borroni B, Cappa SF, Frederiksen KS, Froelich L, Garibotto V, Haliassos A, Jessen F, Kamondi A, Kessels RP, Morbelli SD, O'Brien JT, Otto M, Perret-Liaudet A, Pizzini FB, Vandenbulcke M, Vanninen R, Verhey F, Vernooij MW, Yousry T, Boada Rovira M, Dubois B, Georges J, Hansson O, Ritchie CW, Scheltens P, van der Flier WM, Nobili F. European intersocietal recommendations for the biomarker-based diagnosis of neurocognitive disorders. Lancet Neurol 2024; 23:302-312. [PMID: 38365381 DOI: 10.1016/s1474-4422(23)00447-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 10/30/2023] [Accepted: 11/13/2023] [Indexed: 02/18/2024]
Abstract
The recent commercialisation of the first disease-modifying drugs for Alzheimer's disease emphasises the need for consensus recommendations on the rational use of biomarkers to diagnose people with suspected neurocognitive disorders in memory clinics. Most available recommendations and guidelines are either disease-centred or biomarker-centred. A European multidisciplinary taskforce consisting of 22 experts from 11 European scientific societies set out to define the first patient-centred diagnostic workflow that aims to prioritise testing for available biomarkers in individuals attending memory clinics. After an extensive literature review, we used a Delphi consensus procedure to identify 11 clinical syndromes, based on clinical history and examination, neuropsychology, blood tests, structural imaging, and, in some cases, EEG. We recommend first-line and, if needed, second-line testing for biomarkers according to the patient's clinical profile and the results of previous biomarker findings. This diagnostic workflow will promote consistency in the diagnosis of neurocognitive disorders across European countries.
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Affiliation(s)
- Giovanni B Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland; Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland.
| | - Cristina Festari
- Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Federico Massa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Matteo Cotta Ramusino
- Unit of Behavioral Neurology and Dementia Research Center (DRC), IRCCS Mondino Foundation, Pavia, Italy
| | - Stefania Orini
- Alzheimer's Unit-Memory Clinic, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Dag Aarsland
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway; UK Dementia Research Institute, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Federica Agosta
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Claudio Babiloni
- Department of Physiology and Pharmacology "V Erspamer", Sapienza University of Rome, Rome, Italy; Hospital San Raffaele of Cassino, Cassino, Italy
| | - Barbara Borroni
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Department of Continuity of Care and Frailty, ASST Spedali Civili, Brescia, Italy
| | - Stefano F Cappa
- Centro Ricerca sulle Demenze, IRCCS Mondino Foundation, Pavia, Italy; University Institute for Advanced Studies (IUSS), Pavia, Italy
| | - Kristian S Frederiksen
- Danish Dementia Research Centre, Department of Neurology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Lutz Froelich
- Department of Geriatric Psychiatry, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Valentina Garibotto
- Laboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Geneva, Switzerland; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland; CIBM Center for Biomedical Imaging, Geneva, Switzerland
| | | | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany; Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Anita Kamondi
- National Institute of Mental Health, Neurology and Neurosurgery, Budapest, Hungary; Department of Neurology, Semmelweis University, Budapest, Hungary
| | - Roy Pc Kessels
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands; Radboud UMC Alzheimer Center and Department of Medical Psychology, Radboud University Medical Center, Nijmegen, Netherlands; Vincent van Gogh Institute for Psychiatry, Venray, Netherlands
| | - Silvia D Morbelli
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - John T O'Brien
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Markus Otto
- Department of Neurology, Martin Luther University of Halle-Wittenberg, Halle (Saale), Germany
| | | | - Francesca B Pizzini
- Department of Diagnostic and Public Health, Verona University Hospital, Verona University, Verona, Italy
| | - Mathieu Vandenbulcke
- Department of Neurosciences, KU Leuven, Leuven, Belgium; Department of Geriatric Psychiatry, University Psychiatric Centre KU Leuven, Leuven-Kortenberg, Belgium
| | - Ritva Vanninen
- University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Frans Verhey
- Department of Psychiatry and Neuropsychology-Alzheimer Centre Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Meike W Vernooij
- Department of Epidemiology and Department of Radiology and Nuclear Medicine Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Tarek Yousry
- Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, University College London Hospitals NHS Foundation Trust National Hospital for Neurology and Neurosurgery, London, UK
| | - Mercè Boada Rovira
- Fundació ACE, Institut Català de Neurociències Aplicades, Barcelona, Spain
| | - Bruno Dubois
- Institut de La Mémoire et de La Maladie d'Alzheimer, Neurology Department, Salpêtrière Hospital, Assistance Publique-Hôpital de Paris, Paris, France; Sorbonne University, Paris, France
| | | | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Craig W Ritchie
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, Western General Hospital, University of Edinburgh, Edinburgh, UK; Brain Health Scotland, Edinburgh, UK
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Netherlands; Amsterdam Neuroscience-Neurodegeneration, Amsterdam, Netherlands; Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, Netherlands
| | - Flavio Nobili
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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Visani V, Pizzini FB, Natale V, Tamanti A, Anglani M, Bertoldo A, Calabrese M, Castellaro M. Choroid plexus volume in multiple sclerosis can be estimated on structural MRI avoiding contrast injection. Eur Radiol Exp 2024; 8:33. [PMID: 38409562 PMCID: PMC10897123 DOI: 10.1186/s41747-024-00421-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 12/11/2023] [Indexed: 02/28/2024] Open
Abstract
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 (p < 0.001). The Dice similarity coefficient of CE-T1w versus 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.Relevance statement 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.Key points • CE-T1w sequences are considered the reference standard for ChP manual segmentation.• FLAIR sequences showed a higher CNR than T1w sequences but overestimated the ChP volume.• Non-CE T1w sequences can be a surrogate of CE-T1w sequences for manual segmentation of ChP.
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Affiliation(s)
- Valentina Visani
- Department of Information Engineering, University of Padova, Padova, Italy
| | - Francesca B Pizzini
- Department of Engineering for Innovation Medicine, University of Verona, Verona, Italy
| | - Valerio Natale
- Department of Diagnostic and Public Health, University of Verona, Verona, Italy
| | - Agnese Tamanti
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | | | - Alessandra Bertoldo
- Department of Information Engineering, University of Padova, Padova, Italy
- Padova Neuroscience Center, University of Padova, Padova, Italy
| | - Massimiliano Calabrese
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Marco Castellaro
- Department of Information Engineering, University of Padova, Padova, Italy.
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Quattrini G, Pini L, Boscolo Galazzo I, Jelescu IO, Jovicich J, Manenti R, Frisoni GB, Marizzoni M, Pizzini FB, Pievani M. Microstructural alterations in the locus coeruleus-entorhinal cortex pathway in Alzheimer's disease and frontotemporal dementia. Alzheimers Dement (Amst) 2024; 16:e12513. [PMID: 38213948 PMCID: PMC10781651 DOI: 10.1002/dad2.12513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 11/04/2023] [Accepted: 11/20/2023] [Indexed: 01/13/2024]
Abstract
INTRODUCTION We investigated in vivo the microstructural integrity of the pathway connecting the locus coeruleus to the transentorhinal cortex (LC-TEC) in patients with Alzheimer's disease (AD) and frontotemporal dementia (FTD). METHODS Diffusion-weighted MRI scans were collected for 21 AD, 20 behavioral variants of FTD (bvFTD), and 20 controls. Fractional anisotropy (FA), mean, axial, and radial diffusivities (MD, AxD, RD) were computed in the LC-TEC pathway using a normative atlas. Atrophy was assessed using cortical thickness and correlated with microstructural measures. RESULTS We found (i) higher RD in AD than controls; (ii) higher MD, RD, and AxD, and lower FA in bvFTD than controls and AD; and (iii) a negative association between LC-TEC MD, RD, and AxD, and entorhinal cortex (EC) thickness in bvFTD (all p < 0.050). DISCUSSION LC-TEC microstructural alterations are more pronounced in bvFTD than AD, possibly reflecting neurodegeneration secondary to EC atrophy. Highlights Microstructural integrity of LC-TEC pathway is understudied in AD and bvFTD.LC-TEC microstructural alterations are present in both AD and bvFTD.Greater LC-TEC microstructural alterations in bvFTD than AD.LC-TEC microstructural alterations in bvFTD are associated to EC neurodegeneration.
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Affiliation(s)
- Giulia Quattrini
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE)IRCCS Istituto Centro San Giovanni di Dio FatebenefratelliBresciaItaly
- Department of Molecular and Translational MedicineUniversity of BresciaBresciaItaly
| | - Lorenzo Pini
- Padova Neuroscience CenterUniversity of PadovaPadovaItaly
| | | | - Ileana O. Jelescu
- Department of RadiologyLausanne University Hospital and University of LausanneLausanneSwitzerland
| | - Jorge Jovicich
- Center of Mind/Brain SciencesUniversity of TrentoRoveretoItaly
| | - Rosa Manenti
- Neuropsychology UnitIRCCS Istituto Centro San Giovanni di Dio FatebenefratelliBresciaItaly
| | - Giovanni B. Frisoni
- Memory Center and LANVIE ‐ Laboratory of Neuroimaging of AgingUniversity Hospitals and University of GenevaGenevaSwitzerland
| | - Moira Marizzoni
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE)IRCCS Istituto Centro San Giovanni di Dio FatebenefratelliBresciaItaly
- Laboratory of Biological PsychiatryIRCCS Istituto Centro San Giovanni di Dio FatebenefratelliBresciaItaly
| | - Francesca B. Pizzini
- Department of Engineering for Innovation MedicineUniversity of VeronaVeronaItaly
| | - Michela Pievani
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE)IRCCS Istituto Centro San Giovanni di Dio FatebenefratelliBresciaItaly
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Kassem M, de Kam SS, van Velzen TJ, van der Geest R, Wagner B, Sokolska M, Pizzini FB, Nederkoorn PJ, Rolf Jäger H, Brown MM, van Oostenbrugge RJ, Bonati LH, Eline Kooi M. Application of mask images of contrast-enhanced MR angiography to detect carotid intraplaque hemorrhage in patients with moderate to severe symptomatic and asymptomatic carotid stenosis. Eur J Radiol 2023; 168:111145. [PMID: 37837923 DOI: 10.1016/j.ejrad.2023.111145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 12/21/2022] [Accepted: 10/05/2023] [Indexed: 10/16/2023]
Abstract
PURPOSE Carotid intraplaque hemorrhage (IPH) on MRI predicts stroke. Magnetization-prepared rapid acquisition gradient (MP-RAGE) is widely used to detect IPH. CE-MRA is used routinely to assess stenosis. Initial studies indicated that IPH can be identified on mask images of CE-MRA, while Time-of-Flight (TOF) images were reported to have high specificity but lower sensitivity. We investigated the diagnostic accuracy of detecting IPH on mask images of CE-MRA and TOF. METHODS Thirty-six patients with ≥ 50% stenosis enrolled in the ongoing 2nd European Carotid Surgery Trial underwent carotid MRI. A 5-point quality score was used. Inter-observer agreement between two independent readers was determined. The sensitivity and specificity of IPH detection on mask MRA and TOF were calculated with MP-RAGE as a reference standard. RESULTS Of the 36 patients included in the current analysis, 66/72 carotid arteries could be scored. The inter-observer agreements for identifying IPH on MP-RAGE, mask, and TOF were outstanding (κ: 0.93, 0.96, and 0.85). The image quality of mask (1.42 ± 0.66) and TOF (2.42 ± 0.66) was significantly lower than MP-RAGE (3.47 ± 0.61). When T1w images were used to delineate the outer carotid wall, very high specificities (>95%) of IPH detection on mask and TOF images were found, while the sensitivity was high for mask images (>81%) and poor for TOF (50-60%). Without these images, the specificity was still high (>97%), while the sensitivity reduced to 62-71%. CONCLUSION Despite the lower image quality, routinely acquired mask images from CE-MRA, but not TOF, can be used as an alternative to MP-RAGE images to visualize IPH.
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Affiliation(s)
- Mohamed Kassem
- Cardiovascular Research Institute Maastrich (CARIM), Maastricht University: Universiteitssingel 50, PO Box 616, 6200 MD Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+ (MUMC+): P. Debyelaan 25, 6229 HX Maastricht, the Netherlands
| | - Soraya S de Kam
- Cardiovascular Research Institute Maastrich (CARIM), Maastricht University: Universiteitssingel 50, PO Box 616, 6200 MD Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+ (MUMC+): P. Debyelaan 25, 6229 HX Maastricht, the Netherlands
| | - Twan J van Velzen
- Department of Neurology, Amsterdam UMC: De Boelelaan 1108, 1081 HV Amsterdam, the Netherlands
| | - Rob van der Geest
- Department of Radiology, Leiden University Medical Centre: Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Benjamin Wagner
- Department of Neurology, University Hospital Basel: Universitätsspital CH, Petersgraben 4, 4031 Basel, Switzerland
| | - Magdalena Sokolska
- Department of Imaging, University College London Hospitals NHS Foundation Trust: 250 Euston Rd, London NW1 2PG, UK; Department of Medical Physics and Biomedical Engineering, University College London Hospitals NHS Foundation Trust: 250 Euston Rd, London NW1 2PG, UK
| | - Francesca B Pizzini
- Radiology, Department of Diagnostic and Public Health, University of Verona: Via S. Francesco, 22, 37129 Verona VR, Italy
| | - Paul J Nederkoorn
- Department of Neurology, Amsterdam UMC: De Boelelaan 1108, 1081 HV Amsterdam, the Netherlands
| | - H Rolf Jäger
- Department of Imaging, University College London Hospitals NHS Foundation Trust: 250 Euston Rd, London NW1 2PG, UK
| | - Martin M Brown
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London: Queen Square, London WC1N 3BG, UK
| | - Robert J van Oostenbrugge
- Cardiovascular Research Institute Maastrich (CARIM), Maastricht University: Universiteitssingel 50, PO Box 616, 6200 MD Maastricht, the Netherlands; Department of Neurology, Maastricht University Medical Center+ (MUMC+): P. Debyelaan 25, 6229 HX Maastricht, the Netherlands
| | - Leo H Bonati
- Department of Neurology, University Hospital Basel: Universitätsspital CH, Petersgraben 4, 4031 Basel, Switzerland
| | - M Eline Kooi
- Cardiovascular Research Institute Maastrich (CARIM), Maastricht University: Universiteitssingel 50, PO Box 616, 6200 MD Maastricht, the Netherlands; Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+ (MUMC+): P. Debyelaan 25, 6229 HX Maastricht, the Netherlands.
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Lindner T, Bolar DS, Achten E, Barkhof F, Bastos-Leite AJ, Detre JA, Golay X, Günther M, Wang DJJ, Haller S, Ingala S, Jäger HR, Jahng GH, Juttukonda MR, Keil VC, Kimura H, Ho ML, Lequin M, Lou X, Petr J, Pinter N, Pizzini FB, Smits M, Sokolska M, Zaharchuk G, Mutsaerts HJMM. Current state and guidance on arterial spin labeling perfusion MRI in clinical neuroimaging. Magn Reson Med 2023; 89:2024-2047. [PMID: 36695294 PMCID: PMC10914350 DOI: 10.1002/mrm.29572] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/16/2022] [Accepted: 12/19/2022] [Indexed: 01/26/2023]
Abstract
This article focuses on clinical applications of arterial spin labeling (ASL) and is part of a wider effort from the International Society for Magnetic Resonance in Medicine (ISMRM) Perfusion Study Group to update and expand on the recommendations provided in the 2015 ASL consensus paper. Although the 2015 consensus paper provided general guidelines for clinical applications of ASL MRI, there was a lack of guidance on disease-specific parameters. Since that time, the clinical availability and clinical demand for ASL MRI has increased. This position paper provides guidance on using ASL in specific clinical scenarios, including acute ischemic stroke and steno-occlusive disease, arteriovenous malformations and fistulas, brain tumors, neurodegenerative disease, seizures/epilepsy, and pediatric neuroradiology applications, focusing on disease-specific considerations for sequence optimization and interpretation. We present several neuroradiological applications in which ASL provides unique information essential for making the diagnosis. This guidance is intended for anyone interested in using ASL in a routine clinical setting (i.e., on a single-subject basis rather than in cohort studies) building on the previous ASL consensus review.
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Affiliation(s)
- Thomas Lindner
- Department of Diagnostic and Interventional Neuroradiology, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Divya S. Bolar
- Center for Functional Magnetic Resonance Imaging, Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Eric Achten
- Department of Radiology and Nuclear Medicine, Ghent University, Ghent, Belgium
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, The Netherlands; Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, UK
| | | | - John A. Detre
- Department of Neurology, University of Pennsylvania, Philadelphia PA USA
| | - Xavier Golay
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Matthias Günther
- (1) University Bremen, Germany; (2) Fraunhofer MEVIS, Bremen, Germany; (3) mediri GmbH, Heidelberg, Germany
| | - Danny JJ Wang
- Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles CA USA
| | - Sven Haller
- (1) CIMC - Centre d’Imagerie Médicale de Cornavin, Place de Cornavin 18, 1201 Genève 1201 Genève (2) Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden (3) Faculty of Medicine of the University of Geneva, Switzerland. Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, P. R. China
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Hans R Jäger
- UCL Queen Square Institute of Neuroradiology, University College London, London, UK
| | - Geon-Ho Jahng
- Department of Radiology, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Meher R. Juttukonda
- (1) Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown MA USA (2) Department of Radiology, Harvard Medical School, Boston MA USA
| | - Vera C. Keil
- Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Hirohiko Kimura
- Department of Radiology, Faculty of Medical sciences, University of Fukui, Fukui, JAPAN
| | - Mai-Lan Ho
- Nationwide Children’s Hospital and The Ohio State University, Columbus, OH, USA
| | - Maarten Lequin
- Division Imaging & Oncology, Department of Radiology & Nuclear Medicine | University Medical Center Utrecht & Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Xin Lou
- Department of Radiology, Chinese PLA General Hospital, Beijing, China
| | - Jan Petr
- (1) Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany (2) Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Nandor Pinter
- Dent Neurologic Institute, Buffalo, NY, USA. University at Buffalo Neurosurgery, Buffalo, NY, USA
| | - Francesca B. Pizzini
- Radiology Institute, Dept. of Diagnostic and Public Health, University of Verona, Verona, Italy
| | - Marion Smits
- (1) Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands (2) The Brain Tumour Centre, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Magdalena Sokolska
- Department of Medical Physics and Biomedical Engineering University College London Hospitals NHS Foundation Trust, UK
| | | | - Henk JMM Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Amsterdam, The Netherlands
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7
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Festari C, Massa F, Cotta Ramusino M, Gandolfo F, Nicolosi V, Orini S, Aarsland D, Agosta F, Babiloni C, Boada M, Borroni B, Cappa S, Dubois B, Frederiksen KS, Froelich L, Garibotto V, Georges J, Haliassos A, Hansson O, Jessen F, Kamondi A, Kessels RPC, Morbelli S, O'Brien JT, Otto M, Perret-Liaudet A, Pizzini FB, Ritchie CW, Scheltens P, Vandenbulcke M, Vanninen R, Verhey F, Vernooij MW, Yousry T, Van Der Flier WM, Nobili F, Frisoni GB. European consensus for the diagnosis of MCI and mild dementia: Preparatory phase. Alzheimers Dement 2022; 19:1729-1741. [PMID: 36209379 DOI: 10.1002/alz.12798] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 07/29/2022] [Accepted: 08/09/2022] [Indexed: 11/07/2022]
Abstract
INTRODUCTION Etiological diagnosis of neurocognitive disorders of middle-old age relies on biomarkers, although evidence for their rational use is incomplete. A European task force is defining a diagnostic workflow where expert experience fills evidence gaps for biomarker validity and prioritization. We report methodology and preliminary results. METHODS Using a Delphi consensus method supported by a systematic literature review, 22 delegates from 11 relevant scientific societies defined workflow assumptions. RESULTS We extracted diagnostic accuracy figures from literature on the use of biomarkers in the diagnosis of main forms of neurocognitive disorders. Supported by this evidence, panelists defined clinical setting (specialist outpatient service), application stage (MCI-mild dementia), and detailed pre-assessment screening (clinical-neuropsychological evaluations, brain imaging, and blood tests). DISCUSSION The Delphi consensus on these assumptions set the stage for the development of the first pan-European workflow for biomarkers' use in the etiological diagnosis of middle-old age neurocognitive disorders at MCI-mild dementia stages. HIGHLIGHTS Rational use of biomarkers in neurocognitive disorders lacks consensus in Europe. A consensus of experts will define a workflow for the rational use of biomarkers. The diagnostic workflow will be patient-centered and based on clinical presentation. The workflow will be updated as new evidence accrues.
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Affiliation(s)
- Cristina Festari
- Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Federico Massa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Matteo Cotta Ramusino
- Unit of Behavioral Neurology, IRCCS Mondino Foundation, Pavia, Italy
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Federica Gandolfo
- Department of Geriatric Care, Orthogeriatrics and Rehabilitation, E.O. Galliera Hospital, Genova, Italy
| | - Valentina Nicolosi
- UOC Neurologia, Ospedale Magalini (ULSS 9 - Veneto), Villafranca di Verona (VR), Italy
| | - Stefania Orini
- Alzheimer's Unit - Memory Clinic, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
- Dipartimento di Scienze Cliniche e Sperimentali, Università degli Studi di Brescia, Brescia, Italy
| | - Dag Aarsland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Centre for Age-Related Diseases, Stavanger University Hospital, Stavanger, Norway
- European DLB Consortium
| | - Federica Agosta
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- European Academy of Neurology
| | - Claudio Babiloni
- Department of Physiology and Pharmacology "V. Erspamer", Sapienza University of Rome, Rome, Italy
- Hospital San Raffaele of Cassino, Cassino (FR), Italy
- Europe, Middle East and Africa Chapter of the International Federation of Clinical Neurophysiology
| | - Mercè Boada
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, Barcelona, Spain
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
- Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili, Brescia, Italy
- European FTLD network
| | - Stefano Cappa
- Dementia Research Center, IRCCS Mondino Foundation, Pavia, Italy
- Scuola Universitaria Superiore IUSS Pavia, Pavia, Italy
- Federation of the European Societies of Neuropsychology
| | - Bruno Dubois
- Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A), ICM, Salpetriere Hospital, AP-HP, University Paris 6, Paris, France
| | - Kristian S Frederiksen
- European Academy of Neurology
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Lutz Froelich
- Department of Geriatric Psychiatry, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
- European Alzheimer Disease Consortium
| | - Valentina Garibotto
- NIMTLab, Faculty of Medicine, University of Geneva, Switzerland
- Division of Nuclear Medicine and Molecular Imaging, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland
- Center for Biomedical Imaging, CIBM, Geneva, Switzerland
- European Association of Nuclear Medicine
| | | | - Alexander Haliassos
- ESEAP-Proficiency Testing Scheme for Clinical Laboratories, Athens, Greece
- International Federation of Clinical Chemistry
| | - Oskar Hansson
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmo, Sweden
| | - Frank Jessen
- European Alzheimer Disease Consortium
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Psychiatry, University of Cologne, Medical Faculty, Cologne, Germany
- Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Anita Kamondi
- Europe, Middle East and Africa Chapter of the International Federation of Clinical Neurophysiology
- Department of Neurology, National Institute of Mental Health, Neurology and Neurosurgery, Budapest, Hungary
| | - Roy P C Kessels
- Federation of the European Societies of Neuropsychology
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Vincent van Gogh Institute for Psychiatry, Venray, The Netherlands
- Department of Medical Psychology and Radboudumc Alzheimer Center, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Silvia Morbelli
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Dept of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - John T O'Brien
- European DLB Consortium
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Markus Otto
- European FTLD network
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle/Saale, Germany
| | - Armand Perret-Liaudet
- International Federation of Clinical Chemistry
- Laboratory of Neurobiology, Department of Biochemistry and Molecular Biology, Hospices civils de Lyon; Research and Resources Memory Centre, Lyon, France
- BioRan Team, Centre de Recherche en Neurosciences de Lyon, CNRS UMR5292, INSERM U1028, Lyon, France
| | - Francesca B Pizzini
- Verona University Hospital, Verona University, Dept. of Diagnostic and Public Health, Verona, Italy
- European Union of Medical Specialists
| | - Craig W Ritchie
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Brain Health Scotland, Edinburgh, UK
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Mathieu Vandenbulcke
- Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven, Belgium
- Geriatric Psychiatry, University Psychiatric Centre KU Leuven, Leuven, Belgium
- European Association of Geriatric Psychiatry
| | - Ritva Vanninen
- European Union of Medical Specialists
- University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Frans Verhey
- European Association of Geriatric Psychiatry
- Department of Psychiatry and Neuropsychology/Alzheimer Centre Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Meike W Vernooij
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- European Society of Neuroradiology
| | - Tarek Yousry
- European Society of Neuroradiology
- Lysholm Department of Neuroradiology and the Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, University College London Hospitals NHS Foundation Trust National Hospital for Neurology and Neurosurgery, London, UK
| | - Wiesje M Van Der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Flavio Nobili
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Giovanni B Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland
- Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland
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8
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Cheng SF, van Velzen TJ, Gregson J, Richards T, Jäger HR, Simister R, Kooi ME, de Borst GJ, Pizzini FB, Nederkoorn PJ, Brown MM, Bonati LH. The 2nd European Carotid Surgery Trial (ECST-2): rationale and protocol for a randomised clinical trial comparing immediate revascularisation versus optimised medical therapy alone in patients with symptomatic and asymptomatic carotid stenosis at low to intermediate risk of stroke. Trials 2022; 23:606. [PMID: 35897114 PMCID: PMC9328625 DOI: 10.1186/s13063-022-06429-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 05/26/2022] [Indexed: 11/24/2022] Open
Abstract
Background Carotid endarterectomy is currently recommended for patients with recently symptomatic carotid stenosis ≥50%, based on randomised trials conducted 30 years ago. Several factors such as carotid plaque ulceration, age and associated comorbidities might influence the risk-benefit ratio of carotid revascularisation. A model developed in previous trials that calculates the future risk of stroke based on these features can be used to stratify patients into low, intermediate or high risk. Since the original trials, medical treatment has improved significantly. Our hypothesis is that patients with carotid stenosis ≥50% associated with a low to intermediate risk of stroke will not benefit from additional carotid revascularisation when treated with optimised medical therapy. We also hypothesise that prediction of future risk of stroke in individual patients with carotid stenosis can be improved using the results of magnetic resonance imaging (MRI) of the carotid plaque. Methods Patients are randomised between immediate revascularisation plus OMT versus OMT alone. Suitable patients are those with asymptomatic or symptomatic carotid stenosis ≥50% with an estimated 5-year risk of stroke of <20%, as calculated using the Carotid Artery Risk score. MRI of the brain at baseline and during follow-up will be used as a blinded measure to assess the incidence of silent infarction and haemorrhage, while carotid plaque MRI at baseline will be used to investigate the hypotheses that plaque characteristics determine future stroke risk and help identify a subgroup of patients that will benefit from revascularisation. An initial analysis will be conducted after recruitment of 320 patients with baseline MRI and a minimum of 2 years of follow-up, to provide data to inform the design and sample size for a continuation or re-launch of the study. The primary outcome measure of this initial analysis is the combined 2-year rate of any clinically manifest stroke, new cerebral infarct on MRI, myocardial infarction or periprocedural death. Discussion ECST-2 will provide new data on the efficacy of modern optimal medical therapy alone versus added carotid revascularisation in patients with carotid stenosis at low to intermediate risk of future stroke selected by individualised risk assessment. We anticipate that the results of baseline brain and carotid plaque MRI will provide data to improve the prediction of the risk of stroke and the effect of treatment in patients with carotid stenosis. Trial registration ISRCTN registry ISRCTN97744893. Registered on 05 July 2012
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Affiliation(s)
- Suk Fun Cheng
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Twan J van Velzen
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - John Gregson
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Toby Richards
- Faculty of Health and Medical Sciences, Surgery, University of Western Australia, Perth, Australia
| | - Hans Rolf Jäger
- Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK.,Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
| | - Robert Simister
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK.,Comprehensive Stroke Service, University College London Hospitals NHS Foundation Trust, London, UK
| | - M Eline Kooi
- Department of Radiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
| | - Gert J de Borst
- Department of Vascular Surgery, University Medical Center, Utrecht, The Netherlands
| | - Francesca B Pizzini
- Radiology, Department of Diagnostic and Public Health, University of Verona, Verona, Italy
| | - Paul J Nederkoorn
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Martin M Brown
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK.
| | - Leo H Bonati
- Department of Neurology, University Hospital Basel, Basel, Switzerland.,Department of Clinical Research, University of Basel, Basel, Switzerland.,Research Department, Reha Rheinfelden, Rheinfelden, Switzerland
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9
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Marastoni D, Crescenzo F, Pisani AI, Zuco C, Schiavi G, Benedetti G, Ricciardi GK, Montemezzi S, Pizzini FB, Tamanti A, Calabrese M. Two years' effect of dimethyl fumarate on focal and diffuse gray matter pathology in multiple sclerosis. Mult Scler 2022; 28:2090-2098. [PMID: 35765211 DOI: 10.1177/13524585221104014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND Data on the effect of dimethyl fumarate (DMF) on focal and diffuse gray matter (GM) damage, a relevant pathological substrate of multiple sclerosis (MS)-related disability are lacking. OBJECTIVE To evaluate the DMF effect on cortical lesions (CLs) accumulation and global and regional GM atrophy in subjects with relapsing-remitting MS. METHODS A total of 148 patients (mean age 38.1 ± 9.7 years) treated with DMF ended a 2-year longitudinal study. All underwent regular Expanded Disability Status Scale (EDSS assessment), and at least two 3T-magnetic resonance imaging (MRI) at 3 and 24 months after DMF initiation. CLs and changes in global and regional atrophy of several brain regions were compared with 47 untreated age and sex-matched patients. RESULTS DMF-treated patients showed lower CLs accumulation (median 0[0-3] vs 2[0-7], p < 0.001) with respect to controls. Global cortical thickness (p < 0.001) and regional thickness and volume were lower in treated group (cerebellum, hippocampus, caudate, and putamen: p < 0.001; thalamus p = 0.03). Lower relapse rate (14% vs 40%, p < 0.001), EDSS change (0.2 ± 0.4 vs 0.4 ± 0.9, p < 0.001), and new WM lesions (median 0[0-5] vs 2[0-6], p < 0.001) were reported. No severe adverse drug reactions occurred. CONCLUSIONS Beyond the well-known effect on disease activity, these results provide evidence of the effect of DMF through reduced progression of focal and diffuse GM damage.
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Affiliation(s)
- Damiano Marastoni
- Regional Multiple Sclerosis Center, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | | | - Anna I Pisani
- Regional Multiple Sclerosis Center, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Carmela Zuco
- Neurology Unit, "Carlo Poma" Hospital, ASST Mantua, Mantua, Italy
| | - Gianmarco Schiavi
- Regional Multiple Sclerosis Center, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Giulia Benedetti
- Regional Multiple Sclerosis Center, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Giuseppe K Ricciardi
- Neuroradiology & Radiology Units, Department of Diagnostic and Pathology, Integrated University Hospital of Verona, Verona, Italy
| | - Stefania Montemezzi
- Neuroradiology & Radiology Units, Department of Diagnostic and Pathology, Integrated University Hospital of Verona, Verona, Italy
| | - Francesca B Pizzini
- Radiology Unit, Department of Diagnostic and Public Health, University of Verona, Verona, Italy
| | - Agnese Tamanti
- Regional Multiple Sclerosis Center, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Massimiliano Calabrese
- Regional Multiple Sclerosis Center, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
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10
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Marastoni D, Pisani AI, Schiavi G, Mazziotti V, Castellaro M, Tamanti A, Bosello F, Crescenzo F, Ricciardi GK, Montemezzi S, Pizzini FB, Calabrese M. CSF TNF and osteopontin levels correlate with the response to dimethyl fumarate in early multiple sclerosis. Ther Adv Neurol Disord 2022; 15:17562864221092124. [PMID: 35755969 PMCID: PMC9218430 DOI: 10.1177/17562864221092124] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 03/18/2022] [Indexed: 11/16/2022] Open
Abstract
Background: 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. Objective: 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). Methods: 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. Results: 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. Conclusion: 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.
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Affiliation(s)
- Damiano Marastoni
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Anna I Pisani
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Gianmarco Schiavi
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Valentina Mazziotti
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Marco Castellaro
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Agnese Tamanti
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Francesca Bosello
- Department of Neurosciences, Biomedicine and Movement Sciences, Eye Clinic, Ocular Immunology and Neuroophthalmology Service, AOUI-University of Verona, Verona, Italy
| | - Francesco Crescenzo
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Giuseppe K Ricciardi
- Neuroradiology & Radiology Units, Integrated University Hospital of Verona, Verona, Italy
| | - Stefania Montemezzi
- Neuroradiology & Radiology Units, Integrated University Hospital of Verona, Verona, Italy
| | - Francesca B Pizzini
- Radiology, Department of Diagnostic and Public Health, Integrated University Hospital of Verona, Verona, Italy
| | - Massimiliano Calabrese
- Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Policlinico 'G.B. Rossi' Borgo Roma, Piazzale L. A. Scuro, 10, 37134 Verona, Italy
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11
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Petr J, Hogeboom L, Nikulin P, Wiegers E, Schroyen G, Kallehauge J, Chmelík M, Clement P, Nechifor RE, Fodor LA, De Witt Hamer PC, Barkhof F, Pernet C, Lequin M, Deprez S, Jančálek R, Mutsaerts HJMM, Pizzini FB, Emblem KE, Keil VC. A systematic review on the use of quantitative imaging to detect cancer therapy adverse effects in normal-appearing brain tissue. MAGMA 2022; 35:163-186. [PMID: 34919195 PMCID: PMC8901489 DOI: 10.1007/s10334-021-00985-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 11/09/2021] [Accepted: 12/03/2021] [Indexed: 12/17/2022]
Abstract
Cancer therapy for both central nervous system (CNS) and non-CNS tumors has been previously associated with transient and long-term cognitive deterioration, commonly referred to as 'chemo fog'. This therapy-related damage to otherwise normal-appearing brain tissue is reported using post-mortem neuropathological analysis. Although the literature on monitoring therapy effects on structural magnetic resonance imaging (MRI) is well established, such macroscopic structural changes appear relatively late and irreversible. Early quantitative MRI biomarkers of therapy-induced damage would potentially permit taking these treatment side effects into account, paving the way towards a more personalized treatment planning.This systematic review (PROSPERO number 224196) provides an overview of quantitative tomographic imaging methods, potentially identifying the adverse side effects of cancer therapy in normal-appearing brain tissue. Seventy studies were obtained from the MEDLINE and Web of Science databases. Studies reporting changes in normal-appearing brain tissue using MRI, PET, or SPECT quantitative biomarkers, related to radio-, chemo-, immuno-, or hormone therapy for any kind of solid, cystic, or liquid tumor were included. The main findings of the reviewed studies were summarized, providing also the risk of bias of each study assessed using a modified QUADAS-2 tool. For each imaging method, this review provides the methodological background, and the benefits and shortcomings of each method from the imaging perspective. Finally, a set of recommendations is proposed to support future research.
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Affiliation(s)
- Jan Petr
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany.
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands.
| | - Louise Hogeboom
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Pavel Nikulin
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany
| | - Evita Wiegers
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Gwen Schroyen
- Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Jesper Kallehauge
- Danish Center for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark
| | - Marek Chmelík
- Department of Technical Disciplines in Medicine, Faculty of Health Care, University of Prešov, Prešov, Slovakia
| | - Patricia Clement
- Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University, Ghent, Belgium
| | - Ruben E Nechifor
- International Institute for the Advanced Studies of Psychotherapy and Applied Mental Health, Department of Clinical Psychology and Psychotherapy, Babeș-Bolyai University, Cluj-Napoca, Romania
| | - Liviu-Andrei Fodor
- International Institute for the Advanced Studies of Psychotherapy and Applied Mental Health, Evidence Based Psychological Assessment and Interventions Doctoral School, Babeș-Bolyai University, Cluj-Napoca, Romania
| | - Philip C De Witt Hamer
- Department of Neurosurgery, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
- UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Cyril Pernet
- Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Maarten Lequin
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Sabine Deprez
- Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Radim Jančálek
- St. Anne's University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Henk J M M Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University, Ghent, Belgium
| | - Francesca B Pizzini
- Radiology, Deptartment of Diagnostic and Public Health, Verona University, Verona, Italy
| | - Kyrre E Emblem
- Department of Diagnostic Physics, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Vera C Keil
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
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12
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Pini L, de Lange S, Pizzini FB, Galazzo IB, Manenti R, van den Heuvel M, Pievani M. Divergent brain connectivity patterns in relation to cognition in Alzheimer’s disease and frontotemporal dementia. Alzheimers Dement 2021. [DOI: 10.1002/alz.053662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Lorenzo Pini
- Laboratory Alzheimer's Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli Brescia Italy
- Padova Neuroscience Center, University of Padova Padova Italy
| | - Siemon de Lange
- Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam Amsterdam Netherlands
- Netherlands Institute for Neuroscience Amsterdam Netherlands
| | - Francesca B Pizzini
- Neuroradiology, Department of Diagnostics and Pathology, Verona University Hospital Verona Italy
| | | | - Rosa Manenti
- Neuropsychology Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli Brescia Italy
| | - Martijn van den Heuvel
- Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam Amsterdam Netherlands
| | - Michela Pievani
- Laboratory Alzheimer's Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli Brescia Italy
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13
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Quattrini G, Marizzoni M, Pizzini FB, Galazzo IB, Aiello M, Didic M, Soricelli A, Albani D, Romano M, Blin O, Forloni G, Golay X, Jovicich J, Nathan PJ, Richardson JC, Salvatore M, Frisoni GB, Pievani M. Convergent and Discriminant Validity of Default Mode Network and Limbic Network Perfusion in Amnestic Mild Cognitive Impairment Patients. J Alzheimers Dis 2021; 82:1797-1808. [PMID: 34219733 DOI: 10.3233/jad-210531] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Previous studies reported default mode network (DMN) and limbic network (LIN) brain perfusion deficits in patients with amnestic mild cognitive impairment (aMCI), frequently a prodromal stage of Alzheimer's disease (AD). However, the validity of these measures as AD markers has not yet been tested using MRI arterial spin labeling (ASL). OBJECTIVE To investigate the convergent and discriminant validity of DMN and LIN perfusion in aMCI. METHODS We collected core AD markers (amyloid-β 42 [Aβ42], phosphorylated tau 181 levels in cerebrospinal fluid [CSF]), neurodegenerative (hippocampal volumes and CSF total tau), vascular (white matter hyperintensities), genetic (apolipoprotein E [APOE] status), and cognitive features (memory functioning on Paired Associate Learning test [PAL]) in 14 aMCI patients. Cerebral blood flow (CBF) was extracted from DMN and LIN using ASL and correlated with AD features to assess convergent validity. Discriminant validity was assessed carrying out the same analysis with AD-unrelated features, i.e., somatomotor and visual networks' perfusion, cerebellar volume, and processing speed. RESULTS Perfusion was reduced in the DMN (F = 5.486, p = 0.039) and LIN (F = 12.678, p = 0.004) in APOE ɛ4 carriers compared to non-carriers. LIN perfusion correlated with CSF Aβ42 levels (r = 0.678, p = 0.022) and memory impairment (PAL, number of errors, r = -0.779, p = 0.002). No significant correlation was detected with tau, neurodegeneration, and vascular features, nor with AD-unrelated features. CONCLUSION Our results support the validity of DMN and LIN ASL perfusion as AD markers in aMCI, indicating a significant correlation between CBF and amyloidosis, APOE ɛ4, and memory impairment.
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Affiliation(s)
- Giulia Quattrini
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Moira Marizzoni
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,Laboratory of Biological Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Francesca B Pizzini
- Radiology, Department of Diagnostic and Public Health, University of Verona, Verona, Italy
| | | | | | - Mira Didic
- Aix-Marseille Univ, INSERM, INS, Instit Neurosci des Syst, Marseille, France.,APHM, Timone, Service de Neurologie et Neuropsychologie, Hôpital Timone Adultes, Marseille, France
| | - Andrea Soricelli
- IRCCS SDN, Napoli, Italy.,Department of Sport Sciences, University of Naples Parthenope, Naples, Italy
| | - Diego Albani
- Neuroscience Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Melissa Romano
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Olivier Blin
- Aix-Marseille Univ, INSERM, INS, Instit Neurosci des Syst, DHUNE, Ap-Hm, Marseille, France
| | - Gianluigi Forloni
- Neuroscience Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy
| | - Xavier Golay
- Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, London, United Kingdom
| | - Jorge Jovicich
- Center for Mind/Brain Sciences - CIMeC, University of Trento, Rovereto, Italy
| | - Pradeep J Nathan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Jill C Richardson
- Neurosciences Therapeutic Area, GlaxoSmithKline R&D, Gunnels Wood Road, Stevenage, United Kingdom
| | | | - Giovanni B Frisoni
- Memory Clinic and LANVIE-Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Michela Pievani
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
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14
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Bajrami A, Magliozzi R, Pisani AI, Pizzini FB, Crescenzo F, Marastoni D, Calabrese M. Volume changes of thalamus, hippocampus and cerebellum are associated with specific CSF profile in MS. Mult Scler 2021; 28:550-560. [PMID: 34378437 DOI: 10.1177/13524585211031786] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND The underlying pathogenesis of surface-in grey matter abnormalities in MS, demonstrated by both neuropathology and advanced MRI analyses, is under investigation and it might be related to CSF-mediated mechanism of inflammation and/or damage. OBJECTIVE To examine the link of CSF inflammatory profile with the damage of three regions early-involved in MS and bordering with CSF: thalamus, hippocampus and cerebellum. METHODS In this longitudinal, prospective study, we evaluated, in 109 relapsing-remitting MS patients, at diagnosis and after 2-year follow-up, the association between the baseline CSF level of 19 inflammatory mediators and the volume changes of thalamus, hippocampus, cerebellar cortex and control regions (globus pallidus, putamen). RESULTS The multivariable analysis showed that the CXCL13 and sCD163 CSF levels at baseline were independent predictors of thalamus (Rmodel2=0.80; p < 0.001) and hippocampus (Rmodel2=0.47; p < 0.001) volume change after 2-year follow-up. These molecules, plus CCL25, IFN-γ and fibrinogen, were independent predictors of the cerebellar cortex volume loss (Rmodel2=0.60; p < 0.001). No independent predictors of volume changes of the control regions were found. CONCLUSION Our results indicate an association between the CSF inflammatory profile and grey matter volume loss of regions anatomically close to CSF boundaries, thus supporting the hypothesis of a surface-in GM damage in MS.
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Affiliation(s)
- Albulena Bajrami
- Multiple Sclerosis Specialist Center, Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Roberta Magliozzi
- Multiple Sclerosis Specialist Center, Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Anna I Pisani
- Multiple Sclerosis Specialist Center, Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Francesca B Pizzini
- Department of Diagnostic and Pathology, Integrated University Hospital of Verona, Neuroradiology & Radiology Units, Verona, Italy
| | - Francesco Crescenzo
- Multiple Sclerosis Specialist Center, Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy/Neurology Unit, Mater Salutis Hospital, Legnago, Verona, Italy
| | - Damiano Marastoni
- Multiple Sclerosis Specialist Center, Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Massimiliano Calabrese
- Multiple Sclerosis Specialist Center, Neurology B, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
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15
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Boscolo Galazzo I, Brusini L, Akinci M, Cruciani F, Pitteri M, Ziccardi S, Bajrami A, Castellaro M, Salih AMA, Pizzini FB, Jovicich J, Calabrese M, Menegaz G. Unraveling the MRI-Based Microstructural Signatures Behind Primary Progressive and Relapsing-Remitting Multiple Sclerosis Phenotypes. J Magn Reson Imaging 2021; 55:154-163. [PMID: 34189804 PMCID: PMC9290631 DOI: 10.1002/jmri.27806] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 06/14/2021] [Accepted: 06/15/2021] [Indexed: 01/06/2023] Open
Abstract
Background The mechanisms driving primary progressive and relapsing–remitting multiple sclerosis (PPMS/RRMS) phenotypes are unknown. Magnetic resonance imaging (MRI) studies support the involvement of gray matter (GM) in the degeneration, highlighting its damage as an early feature of both phenotypes. However, the role of GM microstructure is unclear, calling for new methods for its decryption. Purpose To investigate the morphometric and microstructural GM differences between PPMS and RRMS to characterize GM tissue degeneration using MRI. Study Type Prospective cross‐sectional study. Subjects Forty‐five PPMS (26 females) and 45 RRMS (32 females) patients. Field Strength/Sequence 3T scanner. Three‐dimensional (3D) fast field echo T1‐weighted (T1‐w), 3D turbo spin echo (TSE) T2‐w, 3D TSE fluid‐attenuated inversion recovery, and spin echo‐echo planar imaging diffusion MRI (dMRI). Assessment T1‐w and dMRI data were employed for providing information about morphometric and microstructural features, respectively. For dMRI, both diffusion tensor imaging and 3D simple harmonics oscillator based reconstruction and estimation models were used for feature extraction from a predefined set of regions. A support vector machine (SVM) was used to perform patients' classification relying on all these measures. Statistical Tests Differences between MS phenotypes were investigated using the analysis of covariance and statistical tests (P < 0.05 was considered statistically significant). Results All the dMRI indices showed significant microstructural alterations between the considered MS phenotypes, for example, the mode and the median of the return to the plane probability in the hippocampus. Conversely, thalamic volume was the only morphometric feature significantly different between the two MS groups. Ten of the 12 features retained by the selection process as discriminative across the two MS groups regarded the hippocampus. The SVM classifier using these selected features reached an accuracy of 70% and a precision of 69%. Data Conclusion We provided evidence in support of the ability of dMRI to discriminate between PPMS and RRMS, as well as highlight the central role of the hippocampus. Level of Evidence 2 Technical Efficacy Stage 3
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Affiliation(s)
| | - Lorenza Brusini
- Department of Computer Science, University of Verona, Verona, Italy
| | - Muge Akinci
- Center for Mind/Brain Sciences, University of Trento, Trento, Italy
| | | | - Marco Pitteri
- Neurology Unit, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Stefano Ziccardi
- Neurology Unit, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Albulena Bajrami
- Neurology Unit, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Marco Castellaro
- Neurology Unit, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Ahmed M A Salih
- Department of Computer Science, University of Verona, Verona, Italy
| | - Francesca B Pizzini
- Radiology Unit, Department of Diagnostic and Public Health, University of Verona, Verona, Italy
| | - Jorge Jovicich
- Center for Mind/Brain Sciences, University of Trento, Trento, Italy
| | - Massimiliano Calabrese
- Neurology Unit, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Gloria Menegaz
- Department of Computer Science, University of Verona, Verona, Italy
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16
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Pizzini FB, Pesapane F, Niessen W, Geerts-Ossevoort L, Broeckx N. ESMRMB Round Table report on "Can Europe Lead in Machine Learning of MRI-Data?". MAGMA 2021; 33:217-219. [PMID: 31897906 DOI: 10.1007/s10334-019-00821-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Francesca B Pizzini
- Radiology, Department of Diagnostic and Public Health, Verona University, Verona, Italy.
| | - Filippo Pesapane
- Postgraduation School in Radiodiagnostics, Università Degli Studi di Milano, Milan, Italy
- IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Wiro Niessen
- Erasmus MC-University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | | | - Nils Broeckx
- Dewallens and Partners Law Firm, Leuven, Belgium
- PR2 Research Group, Faculty of Law, University of Antwerp, Antwerp, Belgium
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17
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Pizzini FB, Poletti M, Beltramello A, Muto M, Splendiani A, Mehrabi S, Costanzo G, Vitiello V, Barile A, Colagrande S, Mansueto G, Bastianello S. Degenerative spine disease: Italian position paper on acquisition, interpretation and reporting of Magnetic Resonance Imaging. Insights Imaging 2021; 12:14. [PMID: 33575851 PMCID: PMC7878635 DOI: 10.1186/s13244-020-00952-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Accepted: 12/09/2020] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVE To promote a better radiological interpretation of spine degeneration, a consistent standardization of the acquisition, interpretation and description of Magnetic Resonance Imaging (MRI) l findings. MATERIALS AND METHODS In order to achieve this objective, a consensus among experts in imaging of degenerative spine disease (DSD) from Italian radiological societies (SIRM-Italian Society of Radiology, AINR-Italian Association of Neuroradiology) was achieved. The representatives of the Italian inter-societal working group examined the literature produced by European/American task forces on optimizing the study sequences, classification of degenerative disc changes, spondylo-arthrosis, osteochondrosis, synovial and ligament pathologies of the spinal column, and on canal and foraminal stenosis. The document-resulted from the consensus between experts-was then presented to the scientific societies of Neurosurgery (SINCH) and Orthopedics and Traumatology (SIOT) for their approval. RESULTS This position paper presents a proposal for an optimized MRI protocol for studying DSD and provides a glossary of terms related to this pathology and indications on their use. The international terminological recommendations have been translated and adapted to the Italian language and clinical practice and clinical cases have been used to illustrate some of the main classifications. CONCLUSIONS This revision of international DSD guidelines/recommendations and consensus made it possible to (1) update the nomenclature to international standards and (2) harmonize the MRI protocol and description of radiological findings, adapting both (1, 2) to the Italian context. With this position paper we intend to contribute to an improvement of the communication among doctors and between physicians and their patients as well as the quality of the radiological reports.
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Affiliation(s)
- Francesca B Pizzini
- Department of Diagnostic and Public Health, University of Verona, Piazzale L.A. Scuro, 10, 37100, Verona, Italy.
| | - Mattia Poletti
- Department of Diagnostic and Public Health, University of Verona, Piazzale L.A. Scuro, 10, 37100, Verona, Italy
| | - Alberto Beltramello
- Department of Radiology, IRCCS "Sacro Cuore-Don Calabria", Negrar, Verona, Italy
| | - Mario Muto
- Diagnostic and Interventional Neuroradiology, Cardarelli Hospital, Naples, Italy
| | - Alessandra Splendiani
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Sara Mehrabi
- Department of Diagnostic and Public Health, University of Verona, Piazzale L.A. Scuro, 10, 37100, Verona, Italy
| | | | | | - Antonio Barile
- Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Stefano Colagrande
- Department of Experimental and Clinical Biomedical Sciences, Radiodiagnostic Unit N. 2, University of Florence-Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Giancarlo Mansueto
- Department of Diagnostic and Public Health, University of Verona, Piazzale L.A. Scuro, 10, 37100, Verona, Italy
| | - Stefano Bastianello
- Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
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18
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Rojas-Villabona A, Pizzini FB, Solbach T, Sokolska M, Ricciardi G, Lemonis C, DeVita E, Suzuki Y, van Osch MJP, Foroni RI, Longhi M, Montemezzi S, Atkinson D, Kitchen N, Nicolato A, Golay X, Jäger HR. Are Dynamic Arterial Spin-Labeling MRA and Time-Resolved Contrast-Enhanced MRA Suited for Confirmation of Obliteration following Gamma Knife Radiosurgery of Brain Arteriovenous Malformations? AJNR Am J Neuroradiol 2021; 42:671-678. [PMID: 33541896 DOI: 10.3174/ajnr.a6990] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 10/21/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Intra-arterial DSA has been traditionally used for confirmation of cure following gamma knife radiosurgery for AVMs. Our aim was to evaluate whether 4D arterial spin-labeling MRA and contrast-enhanced time-resolved MRA in combination can be an alternative to DSA for confirmation of AVM obliteration following gamma knife radiosurgery. MATERIALS AND METHODS In this prospective study, 30 patients undergoing DSA for confirmation of obliteration following gamma knife radiosurgery for AVMs (criterion standard) also underwent MRA, including arterial spin-labeling MRA and contrast-enhanced time-resolved MRA. One dataset was technically unsatisfactory, and the case was excluded. The DSA and MRA datasets of 29 patients were independently and blindly evaluated by 2 observers regarding the presence/absence of residual AVMs. RESULTS The mean time between gamma knife radiosurgery and follow-up DSA/MRA was 53 months (95% CI, 42-64 months; range, 22-168 months). MRA total scanning time was 9 minutes and 17 seconds. Residual AVMs were detected on DSA in 9 subjects (obliteration rate = 69%). All residual AVMs were detected on at least 1 MRA sequence. Arterial spin-labeling MRA and contrast-enhanced time-resolved MRA showed excellent specificity and positive predictive values individually (100%). However, their sensitivity and negative predictive values were suboptimal due to 1 false-negative with arterial spin-labeling MRA and 2 with contrast-enhanced time-resolved MRA (sensitivity = 88% and 77%, negative predictive values = 95% and 90%, respectively). Both sensitivity and negative predictive values increased to 100% if a composite assessment of both MRA sequences was performed. Diagnostic accuracy (receiver operating characteristic) and agreement (κ) are maximized using arterial spin-labeling MRA and contrast-enhanced time-resolved MRA in combination (area under receiver operating characteristic curve = 1, P < .001; κ = 1, P < .001, respectively). CONCLUSIONS Combining arterial spin-labeling MRA with contrast-enhanced time-resolved MRA holds promise as an alternative to DSA for confirmation of obliteration following gamma knife radiosurgery for brain AVMs, having provided 100% sensitivity and specificity in the study. Their combined use also enables reliable characterization of residual lesions.
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Affiliation(s)
- A Rojas-Villabona
- From The Gamma Knife Centre at Queen Square (A.R.-V.) .,Department of Neurosurgery (A.R.-V.), Royal Victoria Infirmary, Newcastle upon Tyne, UK
| | - F B Pizzini
- Department of Radiology (F.B.P., R.I.F.), Department of Diagnostic and Public Health, Verona University, Verona, Italy
| | - T Solbach
- The Lysholm Department of Neuroradiology (T.S., H.R.J.)
| | - M Sokolska
- Department of Medical Physics and Bioengineering (M.S.).,Neuroradiological Academic Unit (M.S., X.G., H.R.J.)
| | - G Ricciardi
- Neuroradiology Unit (G.R., C.L.), Department of Diagnostic and Pathology, University Hospital of Verona, Verona, Italy
| | - C Lemonis
- Neuroradiology Unit (G.R., C.L.), Department of Diagnostic and Pathology, University Hospital of Verona, Verona, Italy
| | - E DeVita
- School of Biomedical Engineering and Imaging Sciences (E.D.V.), King's College London, London, UK
| | - Y Suzuki
- Wellcome Centre for Integrative Neuroimaging (Y.S.), FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - M J P van Osch
- C.J. Gorter Center for High Field MRI (M.J.P.v.O.), Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - R I Foroni
- Department of Radiology (F.B.P., R.I.F.), Department of Diagnostic and Public Health, Verona University, Verona, Italy
| | - M Longhi
- Department of Neuroscience (M.L., A.N.)
| | | | - D Atkinson
- Department of Brain Repair and Rehabilitation, Institute of Neurology and Centre for Medical Imaging (D.A.), University College London, London, UK
| | - N Kitchen
- Department of Neurosurgery (N.K.), National Hospital for Neurology and Neurosurgery, London, UK
| | | | - X Golay
- Neuroradiological Academic Unit (M.S., X.G., H.R.J.)
| | - H R Jäger
- The Lysholm Department of Neuroradiology (T.S., H.R.J.).,Neuroradiological Academic Unit (M.S., X.G., H.R.J.)
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19
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Quattrini G, Pievani M, Jovicich J, Aiello M, Bargalló N, Barkhof F, Bartrés‐Faz D, Beltramello A, Pizzini FB, Blin O, Bordet R, Caulo M, Constantinides M, Didic M, Drevelegas A, Ferretti A, Fiedler U, Floridi P, Gros‐Dagnac H, Hensch T, Hoffmann K, Kuijer J, Lopes R, Marra C, Müller BW, Nobili F, Parnetti L, Payoux P, Picco A, Ranjeva J, Roccatagliata L, Rossini PM, Salvatore M, Schonknecht P, Schott BH, Sein J, Soricelli A, Tarducci R, Tsolaki M, Visser PJ, Wiltfang J, Richardson J, Frisoni GB, Marizzoni M, Consortium P. Amygdalar nuclei and hippocampal subfields on MRI: Test‐retest reliability of automated segmentation in old and young healthy volunteers. Alzheimers Dement 2020. [DOI: 10.1002/alz.040322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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20
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Pizzini FB, Sasiadek M, Tanzi F, Ricci P. Neuroradiology training in EU: international survey of 31 countries within UEMS frame. Insights Imaging 2020; 11:72. [PMID: 32444958 PMCID: PMC7244697 DOI: 10.1186/s13244-020-00881-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 05/04/2020] [Indexed: 11/16/2022] Open
Abstract
Objective To assess the current framework of interventional and diagnostic neuroradiology in Europe Methods The UEMS (European Union of Medical Specialists) Section of Radiology and the subspecialty UEMS Division of Neuroradiology collected by e-mail a survey on the situation of diagnostic and Interventional Neuroradiology’ training and practice in Europe. The questionnaire was sent to the national delegates from 31 UEMS member countries, belonging to the European Union, the European Economic Area and the Council of Europe. In case of uncertain or discordant replies, the survey envisaged the involvement of neuroradiology scientific societies’ experts for providing a decisive answer. Results A formal post-residency training in diagnostic and interventional neuroradiology is provided respectively by 12/31 and 20/31 of the European countries. Currently, for becoming neuroradiologist in a country without fellowship program, a radiologist should (1) get subspecialty credits, (2) follow training inside national or international neuroradiology departments, or (3) perform the main reporting activity in neuroradiology. In nearly 2/3 of the States included in the survey, the neurointerventional procedures are provided by radiologists (22/31) and in the most frequent scenario a specific training in neurovascular is required to all radiologist or non-radiologist candidates (18/31). Conclusions The European framework of neuroradiology’s training and practice that emerged through this survey is fragmented, but there is an increasing attention by European scientific societies and institutions to create a common path of training and practice that can guarantee high educational and patient care standards.
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Sudre CH, Panovska-Griffiths J, Sanverdi E, Brandner S, Katsaros VK, Stranjalis G, Pizzini FB, Ghimenton C, Surlan-Popovic K, Avsenik J, Spampinato MV, Nigro M, Chatterjee AR, Attye A, Grand S, Krainik A, Anzalone N, Conte GM, Romeo V, Ugga L, Elefante A, Ciceri EF, Guadagno E, Kapsalaki E, Roettger D, Gonzalez J, Boutelier T, Cardoso MJ, Bisdas S. Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status. BMC Med Inform Decis Mak 2020; 20:149. [PMID: 32631306 PMCID: PMC7336404 DOI: 10.1186/s12911-020-01163-5] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 06/24/2020] [Indexed: 12/15/2022] Open
Abstract
Background Combining MRI techniques with machine learning methodology is rapidly gaining attention as a promising method for staging of brain gliomas. This study assesses the diagnostic value of such a framework applied to dynamic susceptibility contrast (DSC)-MRI in classifying treatment-naïve gliomas from a multi-center patients into WHO grades II-IV and across their isocitrate dehydrogenase (IDH) mutation status. Methods Three hundred thirty-three patients from 6 tertiary centres, diagnosed histologically and molecularly with primary gliomas (IDH-mutant = 151 or IDH-wildtype = 182) were retrospectively identified. Raw DSC-MRI data was post-processed for normalised leakage-corrected relative cerebral blood volume (rCBV) maps. Shape, intensity distribution (histogram) and rotational invariant Haralick texture features over the tumour mask were extracted. Differences in extracted features across glioma grades and mutation status were tested using the Wilcoxon two-sample test. A random-forest algorithm was employed (2-fold cross-validation, 250 repeats) to predict grades or mutation status using the extracted features. Results Shape, distribution and texture features showed significant differences across mutation status. WHO grade II-III differentiation was mostly driven by shape features while texture and intensity feature were more relevant for the III-IV separation. Increased number of features became significant when differentiating grades further apart from one another. Gliomas were correctly stratified by mutation status in 71% and by grade in 53% of the cases (87% of the gliomas grades predicted with distance less than 1). Conclusions Despite large heterogeneity in the multi-center dataset, machine learning assisted DSC-MRI radiomics hold potential to address the inherent variability and presents a promising approach for non-invasive glioma molecular subtyping and grading.
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Affiliation(s)
- Carole H Sudre
- Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College, London, UK.,Dementia Research Centre, Institute of Neurology, University College London, London, UK.,Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Jasmina Panovska-Griffiths
- Department of Applied Health Research, Institute of Epidemiology & Health Care, University College London, London, UK. .,Institute for Global Health, University College London, London, UK. .,The Queen's College, Oxford University, Oxford, UK.
| | - Eser Sanverdi
- Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College London NHS Foundation Trust, London, UK
| | - Sebastian Brandner
- Division of Neuropathology, UCL Queen Square Institute of Neurology, London, UK
| | - Vasileios K Katsaros
- Department of Advanced Imaging Modalities, MRI Unit, General Anti-Cancer and Oncological Hospital of Athens "St. Savvas", Athens, Greece.,Department of Neurosurgery, General Hospital Evangelismos, Medical School, University of Athens, Athens, Greece
| | - George Stranjalis
- Department of Neurosurgery, General Hospital Evangelismos, Medical School, University of Athens, Athens, Greece
| | - Francesca B Pizzini
- Neuroradiology, Department of Diagnostics and Pathology, Verona University Hospital, Verona, Italy
| | - Claudio Ghimenton
- Neuropathology, Department of Diagnostics and Pathology, Verona University Hospital, Verona, Italy
| | - Katarina Surlan-Popovic
- Department of Neuroradiology, University Medical Centre, Ljubljana, Slovenia.,Department of Radiology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Jernej Avsenik
- Department of Neuroradiology, University Medical Centre, Ljubljana, Slovenia.,Department of Radiology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Maria Vittoria Spampinato
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Mario Nigro
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Arindam R Chatterjee
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA
| | - Arnaud Attye
- Grenoble Institute of Neurosciences, INSERM, University Grenoble Alpes, Grenoble, France
| | - Sylvie Grand
- Grenoble Institute of Neurosciences, INSERM, University Grenoble Alpes, Grenoble, France
| | - Alexandre Krainik
- Grenoble Institute of Neurosciences, INSERM, University Grenoble Alpes, Grenoble, France
| | - Nicoletta Anzalone
- Department of Neuroradiology, San Raffaele Hospital, Vita-Salute San Raffaele University, Milan, Italy
| | - Gian Marco Conte
- Department of Neuroradiology, San Raffaele Hospital, Vita-Salute San Raffaele University, Milan, Italy
| | - Valeria Romeo
- Department of Advanced Biomedical Sciences, Diagnostic Imaging Section, University of Naples Federico II, Naples, Italy
| | - Lorenzo Ugga
- Department of Advanced Biomedical Sciences, Diagnostic Imaging Section, University of Naples Federico II, Naples, Italy
| | - Andrea Elefante
- Department of Advanced Biomedical Sciences, Diagnostic Imaging Section, University of Naples Federico II, Naples, Italy
| | - Elisa Francesca Ciceri
- Neuropathology, Department of Diagnostics and Pathology, Verona University Hospital, Verona, Italy.,Department of Advanced Biomedical Sciences, Diagnostic Imaging Section, University of Naples Federico II, Naples, Italy
| | - Elia Guadagno
- Department of Advanced Biomedical Sciences, Pathology Section, University of Naples Federico II, Naples, Italy
| | - Eftychia Kapsalaki
- Department of Radiology, School of Health Sciences, Faculty of Medicine, University of Thessaly, Larisa, Greece
| | | | | | | | - M Jorge Cardoso
- Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College, London, UK.,Dementia Research Centre, Institute of Neurology, University College London, London, UK.,Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Sotirios Bisdas
- Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College London NHS Foundation Trust, London, UK.,Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology, UCL, London, UK
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22
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Quattrini G, Pievani M, Jovicich J, Aiello M, Bargalló N, Barkhof F, Bartres-Faz D, Beltramello A, Pizzini FB, Blin O, Bordet R, Caulo M, Constantinides M, Didic M, Drevelegas A, Ferretti A, Fiedler U, Floridi P, Gros-Dagnac H, Hensch T, Hoffmann KT, Kuijer JP, Lopes R, Marra C, Müller BW, Nobili F, Parnetti L, Payoux P, Picco A, Ranjeva JP, Roccatagliata L, Rossini PM, Salvatore M, Schonknecht P, Schott BH, Sein J, Soricelli A, Tarducci R, Tsolaki M, Visser PJ, Wiltfang J, Richardson JC, Frisoni GB, Marizzoni M. Amygdalar nuclei and hippocampal subfields on MRI: Test-retest reliability of automated volumetry across different MRI sites and vendors. Neuroimage 2020; 218:116932. [PMID: 32416226 DOI: 10.1016/j.neuroimage.2020.116932] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 05/05/2020] [Accepted: 05/07/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The amygdala and the hippocampus are two limbic structures that play a critical role in cognition and behavior, however their manual segmentation and that of their smaller nuclei/subfields in multicenter datasets is time consuming and difficult due to the low contrast of standard MRI. Here, we assessed the reliability of the automated segmentation of amygdalar nuclei and hippocampal subfields across sites and vendors using FreeSurfer in two independent cohorts of older and younger healthy adults. METHODS Sixty-five healthy older (cohort 1) and 68 younger subjects (cohort 2), from the PharmaCog and CoRR consortia, underwent repeated 3D-T1 MRI (interval 1-90 days). Segmentation was performed using FreeSurfer v6.0. Reliability was assessed using volume reproducibility error (ε) and spatial overlapping coefficient (DICE) between test and retest session. RESULTS Significant MRI site and vendor effects (p < .05) were found in a few subfields/nuclei for the ε, while extensive effects were found for the DICE score of most subfields/nuclei. Reliability was strongly influenced by volume, as ε correlated negatively and DICE correlated positively with volume size of structures (absolute value of Spearman's r correlations >0.43, p < 1.39E-36). In particular, volumes larger than 200 mm3 (for amygdalar nuclei) and 300 mm3 (for hippocampal subfields, except for molecular layer) had the best test-retest reproducibility (ε < 5% and DICE > 0.80). CONCLUSION Our results support the use of volumetric measures of larger amygdalar nuclei and hippocampal subfields in multisite MRI studies. These measures could be useful for disease tracking and assessment of efficacy in drug trials.
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Affiliation(s)
- Giulia Quattrini
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
| | - Michela Pievani
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Jorge Jovicich
- Center for Mind Brain Sciences, University of Trento, Trento, Italy
| | | | - Núria Bargalló
- Department of Neuroradiology and Image Research Platform, Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands; Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, UK
| | - David Bartres-Faz
- Department of Medicine and Health Sciences, Faculty of Medicine, Universitat de Barcelona and IDIBAPS, Barcelona, Spain
| | - Alberto Beltramello
- Department of Radiology, IRCCS "Sacro Cuore-Don Calabria", Negrar, Verona, Italy
| | - Francesca B Pizzini
- Radiology, Department of Diagnostic and Public Health, University of Verona, Verona, Italy
| | - Olivier Blin
- Aix-Marseille University, UMR-INSERM 1106, Service de Pharmacologie Clinique, APHM, Marseille, France
| | - Regis Bordet
- Aix-Marseille Université, INSERM U 1106, 13005, Marseille, France
| | | | | | - Mira Didic
- Aix-Marseille Université, Inserm, Institut de Neurosciences des Systèmes (INS) UMR_S 1106, 13005, Marseille, France; APHM, Timone, Service de Neurologie et Neuropsychologie, Hôpital Timone Adultes, Marseille, France
| | | | | | - Ute Fiedler
- Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Piero Floridi
- Perugia General Hospital, Neuroradiology Unit, Perugia, Italy
| | - Hélène Gros-Dagnac
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France
| | - Tilman Hensch
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| | | | - Joost P Kuijer
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands
| | - Renaud Lopes
- INSERM U1171, Neuroradiology Department, University Hospital, Lille, France
| | - Camillo Marra
- Catholic University, Fondazione Policlinico A. Gemelli, IRCCS, Rome, Italy
| | - Bernhard W Müller
- LVR-Hospital Essen, Department for Psychiatry and Psychotherapy, Faculty of Medicine, University of Duisburg-Essen, Germany
| | - Flavio Nobili
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy; IRCCS, Ospedale Policlinico San Martino, Genova, Italy
| | - Lucilla Parnetti
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Pierre Payoux
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France
| | - Agnese Picco
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
| | | | - Luca Roccatagliata
- IRCCS, Ospedale Policlinico San Martino, Genova, Italy; Department of Health Science (DISSAL), University of Genoa, Genoa, Italy
| | - Paolo M Rossini
- Dept. Neuroscience & Rehabilitation, IRCCS San Raffaele-Pisana, Rome, Italy
| | | | - Peter Schonknecht
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| | - Björn H Schott
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Göttingen, Germany; Leibniz Institute for Neurobiology, Magdeburg, Germany; German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
| | - Julien Sein
- CRMBM-CEMEREM, UMR 7339, Aix-Marseille University, CNRS, Marseille, France
| | | | | | - Magda Tsolaki
- Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Pieter J Visser
- Department of Neurology, Alzheimer Centre, VU Medical Centre, Amsterdam, Netherlands; Maastricht University, Maastricht, Netherlands
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen (UMG), Göttingen, Germany; Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal; German Center for Neurodegenerative Diseases (DZNE), Goettingen, Germany
| | - Jill C Richardson
- Neurosciences Therapeutic Area, GlaxoSmithKline R&D, Gunnels Wood Road, Stevenage, United Kingdom
| | - Giovanni B Frisoni
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; Memory Clinic and LANVIE-Laboratory of Neuroimaging of Aging, Hospitals and University of Geneva, Geneva, Switzerland
| | - Moira Marizzoni
- Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE), IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
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23
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Boccardi M, Nicolosi V, Festari C, Bianchetti A, Cappa S, Chiasserini D, Falini A, Guerra UP, Nobili F, Padovani A, Sancesario G, Morbelli S, Parnetti L, Tiraboschi P, Muscio C, Perani D, Pizzini FB, Beltramello A, Salvini Porro G, Ciaccio M, Schillaci O, Trabucchi M, Tagliavini F, Frisoni GB. Italian consensus recommendations for a biomarker-based aetiological diagnosis in mild cognitive impairment patients. Eur J Neurol 2019; 27:475-483. [PMID: 31692118 DOI: 10.1111/ene.14117] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 11/04/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND PURPOSE Biomarkers support the aetiological diagnosis of neurocognitive disorders in vivo. Incomplete evidence is available to drive clinical decisions; available diagnostic algorithms are generic and not very helpful in clinical practice. The aim was to develop a biomarker-based diagnostic algorithm for mild cognitive impairment patients, leveraging on knowledge from recognized national experts. METHODS With a Delphi procedure, experienced clinicians making variable use of biomarkers in clinical practice and representing five Italian scientific societies (neurology - Società Italiana di Neurologia per le Demenze; neuroradiology - Associazione Italiana di Neuroradiologia; biochemistry - Società Italiana di Biochimica Clinica; psychogeriatrics - Associazione Italiana di Psicogeriatria; nuclear medicine - Associazione Italiana di Medicina Nucleare) defined the theoretical framework, relevant literature, the diagnostic issues to be addressed and the diagnostic algorithm. An N-1 majority defined consensus achievement. RESULTS The panellists chose the 2011 National Institute on Aging and Alzheimer's Association diagnostic criteria as the reference theoretical framework and defined the algorithm in seven Delphi rounds. The algorithm includes baseline clinical and cognitive assessment, blood examination, and magnetic resonance imaging with exclusionary and inclusionary roles; dopamine transporter single-photon emission computed tomography (if no/unclear parkinsonism) or metaiodobenzylguanidine cardiac scintigraphy for suspected dementia with Lewy bodies with clear parkinsonism (round VII, votes (yes-no-abstained): 3-1-1); 18 F-fluorodeoxyglucose positron emission tomography for suspected frontotemporal lobar degeneration and low diagnostic confidence of Alzheimer's disease (round VII, 4-0-1); cerebrospinal fluid for suspected Alzheimer's disease (round IV, 4-1-0); and amyloid positron emission tomography if cerebrospinal fluid was not possible/accepted (round V, 4-1-0) or inconclusive (round VI, 5-0-0). CONCLUSIONS These consensus recommendations can guide clinicians in the biomarker-based aetiological diagnosis of mild cognitive impairment, whilst guidelines cannot be defined with evidence-to-decision procedures due to incomplete evidence.
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Affiliation(s)
- M Boccardi
- IRCCS Istituto Centro S.Giovanni di Dio-Fatebenefratelli, Brescia, Italy.,University of Geneva, Geneva, Switzerland
| | - V Nicolosi
- IRCCS Istituto Centro S.Giovanni di Dio-Fatebenefratelli, Brescia, Italy
| | - C Festari
- IRCCS Istituto Centro S.Giovanni di Dio-Fatebenefratelli, Brescia, Italy.,University of Brescia, Brescia, Italy
| | - A Bianchetti
- Istituto Clinico S. Anna, Brescia, Italy.,Italian Psychogeriatric Association (AIP), Brescia, Italy
| | - S Cappa
- IRCCS Istituto Centro S.Giovanni di Dio-Fatebenefratelli, Brescia, Italy.,University Institute of Higher Studies, Pavia, Italy.,Italian Society of Neurology for the Study of the Dementias (SINdem), Milan, Italy
| | - D Chiasserini
- University of Perugia, Perugia, Italy.,Italian Society of Clinical Biochemistry and Clinical Molecular Biology - Laboratory Medicine (SIBioC), Rimini, Italy
| | - A Falini
- IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy.,Italian Association of Neuroradiology (AINR), Milan, Italy
| | - U P Guerra
- Poliambulanza Foundation, Brescia, Italy.,Italian Association of Nuclear Medicine (AIMN), Bari, Italy
| | - F Nobili
- Italian Association of Nuclear Medicine (AIMN), Bari, Italy.,University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - A Padovani
- Italian Society of Neurology for the Study of the Dementias (SINdem), Milan, Italy.,Brescia University Hospital, Brescia, Italy
| | - G Sancesario
- Italian Society of Clinical Biochemistry and Clinical Molecular Biology - Laboratory Medicine (SIBioC), Rimini, Italy.,IRCCS Santa Lucia Foundation, Neuroimmunology Unit Via Ardeatina 354, Rome, Italy
| | - S Morbelli
- University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - L Parnetti
- Ospedale S. Maria della Misericordia, University of Perugia, Perugia, Italy
| | | | - C Muscio
- IRCCS 'Carlo Besta', Milan, Italy
| | - D Perani
- IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | | | - A Beltramello
- Verona University Hospital, Verona, Italy.,IRCCS 'Sacro Cuore-Don Calabria', Negrar, Verona, Italy
| | | | - M Ciaccio
- Italian Society of Clinical Biochemistry and Clinical Molecular Biology - Laboratory Medicine (SIBioC), Rimini, Italy.,University of Palermo, Palermo, Italy
| | - O Schillaci
- University Tor Vergata, Rome, Italy.,IRCCS-Neuromed, Pozzilli, Italy
| | - M Trabucchi
- Italian Psychogeriatric Association (AIP), Brescia, Italy.,University Tor Vergata, Rome, Italy
| | | | - G B Frisoni
- IRCCS Istituto Centro S.Giovanni di Dio-Fatebenefratelli, Brescia, Italy.,University of Geneva, Geneva, Switzerland
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24
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Sasiadek M, Kocer N, Szikora I, Vilela P, Muto M, Jansen O, Causin F, Cognard C, White P, Brouwer PA, Pizzini FB, Schroth G, Ricci P. Standards for European training requirements in interventional neuroradiology : Guidelines by the Division of Neuroradiology/Section of Radiology European Union of Medical Specialists (UEMS), in cooperation with the Division of Interventional Radiology/UEMS, the European Society of Neuroradiology (ESNR), and the European Society of Minimally Invasive Neurological Therapy (ESMINT). Neuroradiology 2019; 62:7-14. [PMID: 31676960 DOI: 10.1007/s00234-019-02300-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
This document sets out standards for training in Interventional Neuroradiology (INR) in Europe. These standards have been developed by a working group of the European Society of Neuroradiology (ESNR) and the European Society of Minimally Invasive Neurological Therapy (ESMINT) on the initiative and under the umbrella of the Division of Neuroradiology/Section of Radiology of the European Union of Medical Specialists (UEMS).
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Affiliation(s)
| | - Naci Kocer
- Istanbul University, Cerrahpasa Medical Faculty, Istanbul, Turkey.
| | - Istvan Szikora
- National Institute of Clinical Neurosciences and Semmelweis University, Budapest, Hungary.
| | | | - Mario Muto
- Azienda Ospedaliera Antonio Cardarelli, Napoli, Italy
| | - Olav Jansen
- Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | | | | | - Phil White
- Newcastle University & Newcastle Hospitals NHS Trust, Newcastle upon Tyne, UK
| | | | | | | | - Paolo Ricci
- Azienda Ospedaliero-Universitaria Policlinico Umberto I, Sapienza Università di Roma, Roma, Italy
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25
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Biondetti E, Rojas-Villabona A, Sokolska M, Pizzini FB, Jäger HR, Thomas DL, Shmueli K. Investigating the oxygenation of brain arteriovenous malformations using quantitative susceptibility mapping. Neuroimage 2019; 199:440-453. [DOI: 10.1016/j.neuroimage.2019.05.014] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 04/23/2019] [Accepted: 05/06/2019] [Indexed: 02/07/2023] Open
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26
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Magliozzi R, Howell OW, Nicholas R, Cruciani C, Castellaro M, Romualdi C, Rossi S, Pitteri M, Benedetti MD, Gajofatto A, Pizzini FB, Montemezzi S, Rasia S, Capra R, Bertoldo A, Facchiano F, Monaco S, Reynolds R, Calabrese M. Inflammatory intrathecal profiles and cortical damage in multiple sclerosis. Ann Neurol 2019. [PMID: 29518260 DOI: 10.1002/ana.25197] [Citation(s) in RCA: 177] [Impact Index Per Article: 35.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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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Affiliation(s)
- Roberta Magliozzi
- Neurology B, Department of Neurological and Movement Sciences, University of Verona, Verona, Italy.,Division of Brain Sciences, Department of Medicine, Imperial College London, London, United Kingdom
| | - Owain W Howell
- Institute of Life Sciences, Swansea University, Swansea, United Kingdom
| | - Richard Nicholas
- Division of Brain Sciences, Department of Medicine, Imperial College London, London, United Kingdom
| | - Carolina Cruciani
- Neurology B, Department of Neurological and Movement Sciences, University of Verona, Verona, Italy.,Division of Brain Sciences, Department of Medicine, Imperial College London, London, United Kingdom
| | - Marco Castellaro
- Department of Information Engineering, University of Padua, Padua, Italy
| | | | - Stefania Rossi
- Neurology B, Department of Neurological and Movement Sciences, University of Verona, Verona, Italy.,Department of Oncology and Molecular Medicine, Higher Institute of Health Care, Rome, Italy
| | - Marco Pitteri
- Neurology B, Department of Neurological and Movement Sciences, University of Verona, Verona, Italy
| | - Maria Donata Benedetti
- Neurology B, Department of Neurological and Movement Sciences, University of Verona, Verona, Italy
| | - Alberto Gajofatto
- Neurology B, Department of Neurological and Movement Sciences, University of Verona, Verona, Italy
| | - Francesca B Pizzini
- Neuroradiology and Radiology Units, Department of Diagnostic and Pathology, University Hospital of Verona, Verona, Italy
| | - Stefania Montemezzi
- Neuroradiology and Radiology Units, Department of Diagnostic and Pathology, University Hospital of Verona, Verona, Italy
| | | | | | | | - Francesco Facchiano
- Department of Oncology and Molecular Medicine, Higher Institute of Health Care, Rome, Italy
| | - Salvatore Monaco
- Neurology B, Department of Neurological and Movement Sciences, University of Verona, Verona, Italy
| | - Richard Reynolds
- Division of Brain Sciences, Department of Medicine, Imperial College London, London, United Kingdom
| | - Massimiliano Calabrese
- Neurology B, Department of Neurological and Movement Sciences, University of Verona, Verona, Italy
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27
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Boccardi M, Nicolosi V, Festari C, Bianchetti A, Cappa SF, Chiasserini D, Falini A, Guerra UP, Nobili F, Padovani A, Sancesario GM, Morbelli S, Parnetti L, Tiraboschi P, Muscio C, Perani D, Pizzini FB, Beltramello A, Porro GS, Ciaccio M, Schillaci O, Trabucchi M, Tagliavini F, Frisoni GB. P1-238: ITALIAN CONSENSUS RECOMMENDATIONS FOR THE ETIOLOGICAL DIAGNOSIS IN MEMORY CLINICS. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Vernooij MW, Pizzini FB, Schmidt R, Smits M, Yousry TA, Bargallo N, Frisoni GB, Haller S, Barkhof F. Dementia imaging in clinical practice: a European-wide survey of 193 centres and conclusions by the ESNR working group. Neuroradiology 2019; 61:633-642. [PMID: 30852630 PMCID: PMC6511357 DOI: 10.1007/s00234-019-02188-y] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2019] [Accepted: 02/12/2019] [Indexed: 12/11/2022]
Abstract
PURPOSE Through a European-wide survey, we assessed the current clinical practice of imaging in the primary evaluation of dementia, with respect to standardised imaging, evaluation and reporting. METHODS An online questionnaire was emailed to all European Society of Neuroradiology (ESNR) members (n = 1662) and non-members who had expressed their interest in ESNR activities in the past (n = 6400). The questionnaire featured 42 individual items, divided into multiple choice, single best choice and free text answers. Information was gathered on the context of the practices, available and preferred imaging modalities, applied imaging protocols and standards for interpretation, reporting and communication. RESULTS A total of 193 unique (non-duplicate) entries from the European academic and non-academic institutions were received from a total of 28 countries. Of these, 75% were neuroradiologists, 12% general radiologists and 11% (neuro) radiologists in training. Of responding centres, 38% performed more than five scans/week for suspected dementia. MRI was primarily used in 72% of centres. Over 90% of centres acquired a combination of T2w, FLAIR, T1w, DWI and T2*w sequences. Visual rating scales were used in 75% of centres, most often the Fazekas and medial temporal atrophy scale; 32% of respondents lacked full confidence in their use. Only 23% of centres performed volumetric analysis. A minority of centres (28%) used structured reports. CONCLUSIONS Current practice in dementia imaging is fairly homogeneous across Europe, in terms of image acquisition and image interpretation. Hurdles identified include training on the use of visual rating scales, implementation of volumetric assessment and structured reporting.
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Affiliation(s)
- M W Vernooij
- Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
| | - F B Pizzini
- Neuroradiology, Department of Diagnostics and Pathology, Verona University Hospital, Verona, Italy
| | - R Schmidt
- Department of Neurology, Clinical Division of Neurogeriatrics, Medical University Graz, Graz, Austria
| | - M Smits
- Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - T A Yousry
- Lysholm Department of Neuroradiology, UCL Institute of Neurology, London, UK
| | - N Bargallo
- Magnetic Resonance Image Core Facility, IDIBAPS and Center of Diagnostic Image (CDIC), Hospital Clinic, Barcelona, Spain
| | - G B Frisoni
- University Hospitals and University of Geneva, Geneva, Switzerland
| | - S Haller
- CIRD - Centre d'Imagerie Rive Droite|, Geneva, Switzerland
- Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden
- Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - F Barkhof
- Lysholm Department of Neuroradiology, UCL Institute of Neurology, London, UK
- Department of Radiology and Nuclear Medicine, VU University Medical Centre, Amsterdam UMC, Amsterdam, The Netherlands
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Pini L, Manenti R, Cotelli M, Pizzini FB, Frisoni GB, Pievani M. Non-Invasive Brain Stimulation in Dementia: A Complex Network Story. NEURODEGENER DIS 2019; 18:281-301. [PMID: 30695786 DOI: 10.1159/000495945] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Accepted: 11/30/2018] [Indexed: 11/19/2022] Open
Abstract
Non-invasive brain stimulation (NIBS) is emerging as a promising rehabilitation tool for a number of neurodegenerative diseases. However, the therapeutic mechanisms of NIBS are not completely understood. In this review, we will summarize NIBS results in the context of brain imaging studies of functional connectivity and metabolites to gain insight into the possible mechanisms underlying recovery. We will briefly discuss how the clinical manifestations of common neurodegenerative disorders may be related with aberrant connectivity within large-scale neural networks. We will then focus on recent studies combining resting-state functional magnetic resonance imaging with NIBS to delineate how stimulation of different brain regions induce complex network modifications, both at the local and distal level. Moreover, we will review studies combining magnetic resonance spectroscopy and NIBS to investigate how microscale changes are related to modifications of large-scale networks. Finally, we will re-examine previous NIBS studies in dementia in light of this network perspective. A better understanding of NIBS impact on the functionality of large-scale brain networks may be useful to design beneficial treatments for neurodegenerative disorders.
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Affiliation(s)
- Lorenzo Pini
- Laboratory Alzheimer's Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Rosa Manenti
- Neuropsychology Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Maria Cotelli
- Neuropsychology Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Francesca B Pizzini
- Neuroradiology, Department of Diagnostics and Pathology, Verona University Hospital, Verona, Italy
| | - Giovanni B Frisoni
- Laboratory Alzheimer's Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,University Hospitals and University of Geneva, Geneva, Switzerland
| | - Michela Pievani
- Laboratory Alzheimer's Neuroimaging & Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy,
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30
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Fallatah SM, Pizzini FB, Gomez-Anson B, Magerkurth J, De Vita E, Bisdas S, Jäger HR, Mutsaerts HJMM, Golay X. A visual quality control scale for clinical arterial spin labeling images. Eur Radiol Exp 2018; 2:45. [PMID: 30569375 PMCID: PMC6300452 DOI: 10.1186/s41747-018-0073-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 10/17/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Image-quality assessment is a fundamental step before clinical evaluation of magnetic resonance images. The aim of this study was to introduce a visual scoring system that provides a quality control standard for arterial spin labeling (ASL) and that can be applied to cerebral blood flow (CBF) maps, as well as to ancillary ASL images. METHODS The proposed image quality control (QC) system had two components: (1) contrast-based QC (cQC), describing the visual contrast between anatomical structures; and (2) artifact-based QC (aQC), evaluating image quality of the CBF map for the presence of common types of artifacts. Three raters evaluated cQC and aQC for 158 quantitative signal targeting with alternating radiofrequency labelling of arterial regions (QUASAR) ASL scans (CBF, T1 relaxation rate, arterial blood volume, and arterial transient time). Spearman correlation coefficient (r), intraclass correlation coefficients (ICC), and receiver operating characteristic analysis were used. RESULTS Intra/inter-rater agreement ranged from moderate to excellent; inter-rater ICC was 0.72 for cQC, 0.60 for aQC, and 0.74 for the combined QC (cQC + aQC). Intra-rater ICC was 0.90 for cQC; 0.80 for aQC, and 0.90 for the combined QC. Strong correlations were found between aQC and CBF maps quality (r = 0.75), and between aQC and cQC (r = 0.70). A QC score of 18 was optimal to discriminate between high and low quality clinical scans. CONCLUSIONS The proposed QC system provided high reproducibility and a reliable threshold for discarding low quality scans. Future research should compare this visual QC system with an automatic QC system.
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Affiliation(s)
- S M Fallatah
- Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.,The National Hospital for Neurology and Neurosurgery, London, UK.,Radiology Department, King Abdualaziz Medical City, Riyadh, Saudi Arabia
| | - F B Pizzini
- Neuroradiology, University Hospital of Verona, Piazzale Stefani 1, 37126, Verona, Italy.
| | - B Gomez-Anson
- Unitat Neuroradiologia, Hospital de la Santa Creu i Sant Pau, IIB-Sant Pau, Universitat Autonoma, Barcelona, Spain
| | - J Magerkurth
- Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK
| | - E De Vita
- Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.,The National Hospital for Neurology and Neurosurgery, London, UK
| | - S Bisdas
- Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.,The National Hospital for Neurology and Neurosurgery, London, UK
| | - H R Jäger
- Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.,The National Hospital for Neurology and Neurosurgery, London, UK
| | - H J M M Mutsaerts
- Radiology Department, Academic Medical Center, Amsterdam, The Netherlands.,Radiology Department, Vrije Universiteit University Medical Center, Amsterdam, The Netherlands.,Radiology Department, University Medical Center Utrecht, Utrecht, The Netherlands
| | - X Golay
- Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, UK.,The National Hospital for Neurology and Neurosurgery, London, UK
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Clement P, Mutsaerts HJ, Václavů L, Ghariq E, Pizzini FB, Smits M, Acou M, Jovicich J, Vanninen R, Kononen M, Wiest R, Rostrup E, Bastos-Leite AJ, Larsson EM, Achten E. Variability of physiological brain perfusion in healthy subjects - A systematic review of modifiers. Considerations for multi-center ASL studies. J Cereb Blood Flow Metab 2018; 38:1418-1437. [PMID: 28393659 PMCID: PMC6120130 DOI: 10.1177/0271678x17702156] [Citation(s) in RCA: 72] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Quantitative measurements of brain perfusion are influenced by perfusion-modifiers. Standardization of measurement conditions and correction for important modifiers is essential to improve accuracy and to facilitate the interpretation of perfusion-derived parameters. An extensive literature search was carried out for factors influencing quantitative measurements of perfusion in the human brain unrelated to medication use. A total of 58 perfusion modifiers were categorized into four groups. Several factors (e.g., caffeine, aging, and blood gases) were found to induce a considerable effect on brain perfusion that was consistent across different studies; for other factors, the modifying effect was found to be debatable, due to contradictory results or lack of evidence. Using the results of this review, we propose a standard operating procedure, based on practices already implemented in several research centers. Also, a theory of 'deep MRI physiotyping' is inferred from the combined knowledge of factors influencing brain perfusion as a strategy to reduce variance by taking both personal information and the presence or absence of perfusion modifiers into account. We hypothesize that this will allow to personalize the concept of normality, as well as to reach more rigorous and earlier diagnoses of brain disorders.
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Affiliation(s)
- Patricia Clement
- 1 Department of Radiology and nuclear medicine, Ghent University, Ghent, Belgium
| | - Henk-Jan Mutsaerts
- 2 Cognitive Neurology Research Unit, Sunnybrook Healthy Sciences Centre, Toronto, Canada.,3 Academic Medical Center, Amsterdam, the Netherlands
| | - Lena Václavů
- 3 Academic Medical Center, Amsterdam, the Netherlands
| | - Eidrees Ghariq
- 4 Leiden University Medical Center, Leiden, the Netherlands
| | | | | | - Marjan Acou
- 1 Department of Radiology and nuclear medicine, Ghent University, Ghent, Belgium
| | - Jorge Jovicich
- 7 Magnetic Resonance Imaging Laboratory Center for Mind/Brain Sciences, University of Trento, Mattarello, Italy
| | | | | | | | - Egill Rostrup
- 10 Department of Diagnostics, Glostrup Hospital, University of Copenhagen, Denmark
| | | | | | - Eric Achten
- 1 Department of Radiology and nuclear medicine, Ghent University, Ghent, Belgium
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Venturelli M, Pedrinolla A, Boscolo Galazzo I, Fonte C, Smania N, Tamburin S, Muti E, Crispoltoni L, Stabile A, Pistilli A, Rende M, Pizzini FB, Schena F. Impact of Nitric Oxide Bioavailability on the Progressive Cerebral and Peripheral Circulatory Impairments During Aging and Alzheimer's Disease. Front Physiol 2018; 9:169. [PMID: 29593548 PMCID: PMC5861210 DOI: 10.3389/fphys.2018.00169] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Accepted: 02/20/2018] [Indexed: 11/19/2022] Open
Abstract
Advanced aging, vascular dysfunction, and nitric oxide (NO) bioavailability are recognized risk factors for Alzheimer's disease (AD). However, the contribution of AD, per se, to this putative pathophysiological mechanism is still unclear. To better answer this point, we quantified cortical perfusion with arterial spin labeling (PVC-CBF), measured ultrasound internal carotid (ICA), and femoral (FA) artery blood flow in a group of patients with similar age (~78 years) but different cognitive impairment (i.e., mild cognitive impairment MCI, mild AD-AD1, moderate AD-AD2, and severe AD-AD3) and compared them to young and healthy old (aged-matched) controls. NO-metabolites and passive leg-movement (PLM) induced hyperemia were used to assess systemic vascular function. Ninety-eight individuals were recruited for this study. PVC-CBF, ICA, and FA blood flow were markedly (range of 9–17%) and significantly (all p < 0.05) reduced across the spectrum from YG to OLD, MCI, AD1, AD2, AD3 subjects. Similarly, plasma level of nitrates and the values of PLM were significantly reduced (range of 8–26%; p < 0.05) among the six groups. Significant correlations were retrieved between plasma nitrates, PLM and PVC-CBF, CA, and FA blood flow. This integrative and comprehensive approach to vascular changes in aging and AD showed progressive changes in NO bioavailability and cortical, extracranial, and peripheral circulation in patients with AD and suggested that they are directly associated with AD and not to aging. Moreover, these results suggest that AD-related impairments of circulation are progressive and not confined to the brain. The link between cardiovascular and the central nervous systems degenerative processes in patients at different severity of AD is likely related to the depletion of NO.
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Affiliation(s)
- Massimo Venturelli
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | | | | | - Cristina Fonte
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.,Neuromotor and Cognitive Rehabilitation Research Centre, University of Verona, Verona, Italy
| | - Nicola Smania
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.,Neuromotor and Cognitive Rehabilitation Research Centre, University of Verona, Verona, Italy
| | - Stefano Tamburin
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | | | - Lucia Crispoltoni
- Department of Surgical and Biomedical Sciences, Section of Human Anatomy, School of Medicine, University of Perugia, Perugia, Italy
| | - Annamaria Stabile
- Department of Surgical and Biomedical Sciences, Section of Human Anatomy, School of Medicine, University of Perugia, Perugia, Italy
| | - Alessandra Pistilli
- Department of Surgical and Biomedical Sciences, Section of Human Anatomy, School of Medicine, University of Perugia, Perugia, Italy
| | - Mario Rende
- Department of Surgical and Biomedical Sciences, Section of Human Anatomy, School of Medicine, University of Perugia, Perugia, Italy
| | - Francesca B Pizzini
- Neuroradiology, Department of Diagnostics and Pathology, Verona University Hospital, Verona, Italy
| | - Federico Schena
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
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33
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34
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Mutsaerts HJMM, Petr J, Thomas DL, de Vita E, Cash DM, van Osch MJP, Golay X, Groot PFC, Ourselin S, van Swieten J, Laforce R, Tagliavini F, Borroni B, Galimberti D, Rowe JB, Graff C, Pizzini FB, Finger E, Sorbi S, Castelo Branco M, Rohrer JD, Masellis M, MacIntosh BJ. Comparison of arterial spin labeling registration strategies in the multi-center GENetic frontotemporal dementia initiative (GENFI). J Magn Reson Imaging 2018; 47:131-140. [PMID: 28480617 PMCID: PMC6485386 DOI: 10.1002/jmri.25751] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Accepted: 04/13/2017] [Indexed: 11/06/2022] Open
Abstract
PURPOSE To compare registration strategies to align arterial spin labeling (ASL) with 3D T1-weighted (T1w) images, with the goal of reducing the between-subject variability of cerebral blood flow (CBF) images. MATERIALS AND METHODS Multi-center 3T ASL data were collected at eight sites with four different sequences in the multi-center GENetic Frontotemporal dementia Initiative (GENFI) study. In a total of 48 healthy controls, we compared the following image registration options: (I) which images to use for registration (perfusion-weighted images [PWI] to the segmented gray matter (GM) probability map (pGM) (CBF-pGM) or M0 to T1w (M0-T1w); (II) which transformation to use (rigid-body or non-rigid); and (III) whether to mask or not (no masking, M0-based FMRIB software library Brain Extraction Tool [BET] masking). In addition to visual comparison, we quantified image similarity using the Pearson correlation coefficient (CC), and used the Mann-Whitney U rank sum test. RESULTS CBF-pGM outperformed M0-T1w (CC improvement 47.2% ± 22.0%; P < 0.001), and the non-rigid transformation outperformed rigid-body (20.6% ± 5.3%; P < 0.001). Masking only improved the M0-T1w rigid-body registration (14.5% ± 15.5%; P = 0.007). CONCLUSION The choice of image registration strategy impacts ASL group analyses. The non-rigid transformation is promising but requires validation. CBF-pGM rigid-body registration without masking can be used as a default strategy. In patients with expansive perfusion deficits, M0-T1w may outperform CBF-pGM in sequences with high effective spatial resolution. BET-masking only improves M0-T1w registration when the M0 image has sufficient contrast. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2018;47:131-140.
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Affiliation(s)
- Henri JMM Mutsaerts
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
- Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands
| | - Jan Petr
- PET Center, Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany
| | - David L Thomas
- Institute of Neurology, University College London, London, United Kingdom
| | - Enrico de Vita
- Institute of Neurology, University College London, London, United Kingdom
| | - David M Cash
- Institute of Neurology, University College London, London, United Kingdom
| | - Matthias JP van Osch
- C.J. Gorter Center for High Field MRI, Dept. of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Xavier Golay
- Institute of Neurology, University College London, London, United Kingdom
| | - Paul FC Groot
- Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands
| | - Sebastien Ourselin
- Translational Imaging Group, Centre for Medical Image Computing, University College London
| | - John van Swieten
- Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire (CIME), CHU de Québec, Département des Sciences Neurologiques, Université Laval, Québec, Canada
| | - Fabrizio Tagliavini
- Fondazione Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy
| | - Barbara Borroni
- Department of Medical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Daniela Galimberti
- University of Milan, Fondazione Ca’ Granda, IRCCS Ospedale Policlinico, Milan, Italy
| | - James B Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Caroline Graff
- Department of Geriatric Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Francesca B Pizzini
- Neuroradiology, Department of Diagnostics and Pathology, Verona University Hospital, Italy
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, Canada
| | - Sandro Sorbi
- Fondazione Don Carlo Gnocchi, Scientific Institute, Florence, Italy
| | - Miguel Castelo Branco
- Neurology Department, Faculty of Medicine of Lisbon, Portugal
- Institute for Nuclear Sciences Applied to Health, Brain Imaging Network of Portugal, Coimbra, Portugal
| | - Jonathan D Rohrer
- Institute of Neurology, University College London, London, United Kingdom
| | - Mario Masellis
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
- Cognitive Neurology Research Unit, Sunnybrook Health Sciences Centre, Toronto, Canada
- Cognitive & Movement Disorders Clinic, Sunnybrook Health Sciences Centre, Toronto, Canada
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto
| | - Bradley J MacIntosh
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
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Storti SF, Boscolo Galazzo I, Montemezzi S, Menegaz G, Pizzini FB. Dual-echo ASL contributes to decrypting the link between functional connectivity and cerebral blow flow. Hum Brain Mapp 2017; 38:5831-5844. [PMID: 28885752 DOI: 10.1002/hbm.23804] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Revised: 08/23/2017] [Accepted: 08/28/2017] [Indexed: 12/26/2022] Open
Abstract
Arterial spin labeling (ASL) MRI with a dual-echo readout module (DE-ASL) enables noninvasive simultaneous acquisition of cerebral blood flow (CBF)-weighted images and blood oxygenation level dependent (BOLD) contrast. Up to date, resting-state functional connectivity (FC) studies based on CBF fluctuations have been very limited, while the BOLD is still the method most frequently used. The purposes of this technical report were (i) to assess the potentiality of the DE-ASL sequence for the quantification of resting-state FC and brain organization, with respect to the conventional BOLD (cvBOLD) and (ii) to investigate the relationship between a series of complex network measures and the CBF information. Thirteen volunteers were scanned on a 3 T scanner acquiring a pseudocontinuous multislice DE-ASL sequence, from which the concomitant BOLD (ccBOLD) simultaneously to the ASL can be extracted. In the proposed comparison, the brain FC and graph-theoretical analysis were used for quantifying the connectivity strength between pairs of regions and for assessing the network model properties in all the sequences. The main finding was that the ccBOLD part of the DE-ASL sequence provided highly comparable connectivity results compared to cvBOLD. As expected, because of its different nature, ASL sequence showed different patterns of brain connectivity and graph indices compared to BOLD sequences. To conclude, the resting-state FC can be reliably detected using DE-ASL, simultaneously to CBF quantifications, whereas a single fMRI experiment precludes the quantitative measurement of BOLD signal changes. Hum Brain Mapp 38:5831-5844, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Silvia F Storti
- Department of Computer Science, University of Verona, Verona, Italy
| | | | - Stefania Montemezzi
- Department of Diagnostics and Pathology, University Hospital Verona, Verona, Italy
| | - Gloria Menegaz
- Department of Computer Science, University of Verona, Verona, Italy
| | - Francesca B Pizzini
- Department of Diagnostics and Pathology, University Hospital Verona, Verona, Italy
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36
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Galazzo IB, Pizzini FB, Pini L, Ferrari C, Cobelli C, Menegaz G, Ciceri EM, Cotelli M, Manenti R, Frisoni GB, Pievani M. [IC‐P‐174]: NETWORK‐BASED MODULATION OF CEREBRAL PERFUSION AND FUNCTIONAL CONNECTIVITY IN ALZHEIMER's DISEASE. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.2549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
| | - Francesca B. Pizzini
- Neuroradiology, Department of Diagnostics and PathologyVerona University HospitalVeronaItaly
| | - Lorenzo Pini
- Department of Molecular and Translational MedicineUniversity of BresciaBresciaItaly
- Lab Alzheimer's Neuroimaging and Epidemiology, IRCCS FatebenefratelliBresciaItaly
| | | | - Chiara Cobelli
- Neuropsychology Unit, IRCCS FatebenefratelliBresciaItaly
| | - Gloria Menegaz
- Department of Computer ScienceUniversity of VeronaVeronaItaly
| | - Elisa M. Ciceri
- Neuroradiology, Department of Diagnostics and PathologyVerona University HospitalVeronaItaly
| | - Maria Cotelli
- Neuropsychology Unit, IRCCS FatebenefratelliBresciaItaly
| | - Rosa Manenti
- Neuropsychology Unit, IRCCS FatebenefratelliBresciaItaly
| | - Giovanni B. Frisoni
- Lab Alzheimer's Neuroimaging and Epidemiology, IRCCS FatebenefratelliBresciaItaly
- Memory Clinic and LANVIE ‐ Laboratory of Neuroimaging of AgingUniversity Hospitals and University of GenevaGenevaSwitzerland
| | - Michela Pievani
- Lab Alzheimer's Neuroimaging and Epidemiology, IRCCS FatebenefratelliBresciaItaly
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37
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Galazzo IB, Pizzini FB, Pini L, Ferrari C, Cobelli C, Menegaz G, Ciceri EM, Cotelli M, Manenti R, Frisoni GB, Pievani M. [P2–334]: NETWORK‐BASED MODULATION OF CEREBRAL PERFUSION AND FUNCTIONAL CONNECTIVITY IN ALZHEIMER's DISEASE. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
| | - Francesca B. Pizzini
- Neuroradiology, Department of Diagnostics and PathologyVerona University HospitalVeronaItaly
| | - Lorenzo Pini
- Department of Molecular and Translational MedicineUniversity of BresciaBresciaItaly
- Lab Alzheimer's Neuroimaging & Epidemiology, IRCCS FatebenefratelliBresciaItaly
| | | | - Chiara Cobelli
- Neuropsychology Unit, IRCCS FatebenefratelliBresciaItaly
| | - Gloria Menegaz
- Department of Computer ScienceUniversity of VeronaVeronaItaly
| | - Elisa M. Ciceri
- Neuroradiology, Department of Diagnostics and PathologyVerona University HospitalVeronaItaly
| | - Maria Cotelli
- Neuropsychology Unit, IRCCS FatebenefratelliBresciaItaly
| | - Rosa Manenti
- Neuropsychology Unit, IRCCS FatebenefratelliBresciaItaly
| | - Giovanni B. Frisoni
- Lab Alzheimer's Neuroimaging & Epidemiology, IRCCS FatebenefratelliBresciaItaly
- Memory Clinic and LANVIE ‐ Laboratory of Neuroimaging of AgingUniversity Hospitals and University of GenevaGenevaSwitzerland
| | - Michela Pievani
- Lab Alzheimer's Neuroimaging & Epidemiology, IRCCS FatebenefratelliBresciaItaly
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38
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Pini L, Galazzo IB, Ferrari C, Cobelli C, Cotelli M, Frisoni GB, Pizzini FB, Manenti R, Pievani M. [P1–399]: NON‐INVASIVE BRAIN MODULATION OF ABERRANT NETWORKS IN ALZHEIMER's DISEASE. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Lorenzo Pini
- Department of Molecular and Translational MedicineUniversity of BresciaBresciaItaly
- Lab Alzheimer's Neuroimaging & Epidemiology, IRCCS FatebenefratelliBresciaItaly
| | | | | | - Chiara Cobelli
- Neuropsychology Unit, IRCCS FatebenefratelliBresciaItaly
| | - Maria Cotelli
- Neuropsychology Unit, IRCCS FatebenefratelliBresciaItaly
| | - Giovanni B. Frisoni
- Lab Alzheimer's Neuroimaging & Epidemiology, IRCCS FatebenefratelliBresciaItaly
- Memory Clinic and LANVIE ‐ Laboratory of Neuroimaging of AgingUniversity Hospitals and University of GenevaGenevaSwitzerland
| | - Francesca B. Pizzini
- Neuroradiology, Department of Diagnostics and PathologyVerona University HospitalVeronaItaly
| | - Rosa Manenti
- Neuropsychology Unit, IRCCS FatebenefratelliBresciaItaly
| | - Michela Pievani
- Lab Alzheimer's Neuroimaging & Epidemiology, IRCCS FatebenefratelliBresciaItaly
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Castellaro M, Magliozzi R, Palombit A, Pitteri M, Silvestri E, Camera V, Montemezzi S, Pizzini FB, Bertoldo A, Reynolds R, Monaco S, Calabrese M. Heterogeneity of Cortical Lesion Susceptibility Mapping in Multiple Sclerosis. AJNR Am J Neuroradiol 2017; 38:1087-1095. [PMID: 28408633 DOI: 10.3174/ajnr.a5150] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Accepted: 01/21/2017] [Indexed: 12/30/2022]
Abstract
BACKGROUND AND PURPOSE Quantitative susceptibility mapping has been used to characterize iron and myelin content in the deep gray matter of patients with multiple sclerosis. Our aim was to characterize the susceptibility mapping of cortical lesions in patients with MS and compare it with neuropathologic observations. MATERIALS AND METHODS The pattern of microglial activation was studied in postmortem brain tissues from 16 patients with secondary-progressive MS and 5 age-matched controls. Thirty-six patients with MS underwent 3T MR imaging, including 3D double inversion recovery and 3D-echo-planar SWI. RESULTS Neuropathologic analysis revealed the presence of an intense band of microglia activation close to the pial membrane in subpial cortical lesions or to the WM border of leukocortical cortical lesions. The quantitative susceptibility mapping analysis revealed 131 cortical lesions classified as hyperintense; 33, as isointense; and 84, as hypointense. Quantitative susceptibility mapping hyperintensity edge found in the proximity of the pial surface or at the white matter/gray matter interface in some of the quantitative susceptibility mapping-hyperintense cortical lesions accurately mirrors the microglia activation observed in the neuropathology analysis. CONCLUSIONS Cortical lesion susceptibility maps are highly heterogeneous, even at individual levels. Quantitative susceptibility mapping hyperintensity edge found in proximity to the pial surface might be due to the subpial gradient of microglial activation.
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Affiliation(s)
- M Castellaro
- From the Department of Information Engineering (M. Castellaro, A.P., E.S., A.B.), University of Padova, Padova, Italy
- Neurology B (M. Castellaro, R.M., M.P., V.C., S.M., M. Calabrese), Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona, Italy
| | - R Magliozzi
- Neurology B (M. Castellaro, R.M., M.P., V.C., S.M., M. Calabrese), Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona, Italy
- Division of Brain Sciences (R.M., R.R.), Faculty of Medicine, Imperial College London, Hammersmith Hospital, London, UK
| | - A Palombit
- From the Department of Information Engineering (M. Castellaro, A.P., E.S., A.B.), University of Padova, Padova, Italy
| | - M Pitteri
- Neurology B (M. Castellaro, R.M., M.P., V.C., S.M., M. Calabrese), Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona, Italy
| | - E Silvestri
- From the Department of Information Engineering (M. Castellaro, A.P., E.S., A.B.), University of Padova, Padova, Italy
| | - V Camera
- Neurology B (M. Castellaro, R.M., M.P., V.C., S.M., M. Calabrese), Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona, Italy
| | - S Montemezzi
- Neurology B (M. Castellaro, R.M., M.P., V.C., S.M., M. Calabrese), Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona, Italy
- Neuroradiology and Radiology Units (S.M., F.B.P.), Department of Diagnostics and Pathology, Verona University Hospital, Verona, Italy
| | - F B Pizzini
- Neuroradiology and Radiology Units (S.M., F.B.P.), Department of Diagnostics and Pathology, Verona University Hospital, Verona, Italy
| | - A Bertoldo
- From the Department of Information Engineering (M. Castellaro, A.P., E.S., A.B.), University of Padova, Padova, Italy
| | - R Reynolds
- Division of Brain Sciences (R.M., R.R.), Faculty of Medicine, Imperial College London, Hammersmith Hospital, London, UK
| | - S Monaco
- From the Department of Information Engineering (M. Castellaro, A.P., E.S., A.B.), University of Padova, Padova, Italy
| | - M Calabrese
- Neurology B (M. Castellaro, R.M., M.P., V.C., S.M., M. Calabrese), Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona, Italy
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Pievani M, Pini L, Ferrari C, Pizzini FB, Boscolo Galazzo I, Cobelli C, Cotelli M, Manenti R, Frisoni GB. Coordinate-Based Meta-Analysis of the Default Mode and Salience Network for Target Identification in Non-Invasive Brain Stimulation of Alzheimer’s Disease and Behavioral Variant Frontotemporal Dementia Networks. J Alzheimers Dis 2017; 57:825-843. [DOI: 10.3233/jad-161105] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Michela Pievani
- Laboratory Alzheimer’s Neuroimaging and Epidemiology, IRCCS Centro San Giovanni di Dio – Fatebenefratelli, Brescia, Italy
| | - Lorenzo Pini
- Laboratory Alzheimer’s Neuroimaging and Epidemiology, IRCCS Centro San Giovanni di Dio – Fatebenefratelli, Brescia, Italy
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Clarissa Ferrari
- Statistics Service, IRCCS Centro San Giovanni di Dio – Fatebenefratelli, Brescia, Italy
| | - Francesca B. Pizzini
- Neuroradiology, Department of Diagnostics and Pathology, Verona University Hospital, Verona, Italy
| | | | - Chiara Cobelli
- Neuropsychology Unit, IRCCS Centro San Giovanni di Dio – Fatebenefratelli, Brescia, Italy
| | - Maria Cotelli
- Neuropsychology Unit, IRCCS Centro San Giovanni di Dio – Fatebenefratelli, Brescia, Italy
| | - Rosa Manenti
- Neuropsychology Unit, IRCCS Centro San Giovanni di Dio – Fatebenefratelli, Brescia, Italy
| | - Giovanni B. Frisoni
- Laboratory Alzheimer’s Neuroimaging and Epidemiology, IRCCS Centro San Giovanni di Dio – Fatebenefratelli, Brescia, Italy
- University Hospitals and University of Geneva, Geneva, Switzerland
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Abstract
A 40-year-old man presented with conductive hearing loss and pressure- and sound-related vestibular symptoms. Computed tomography and diffusion-weighted magnetic resonance imaging revealed the presence of a cholesteatoma involving the vestibular labyrinth. The patient underwent a canal-wall-up tympanoplasty, which revealed evidence of a disruption of the vestibular labyrinth and a wide dehiscence of the vestibule, which was immediately resurfaced. At the 2-month follow-up, the patient's pressure- and sound-related vestibular symptoms had disappeared. Pure-tone audiometry showed a reduction in the air-bone gap with a slight deterioration of bone conduction and an improvement in the air-conduction threshold. Fistulization of the otic capsule produces a "third window," which can lead to a dehiscence syndrome. One possible cause is a cholesteatoma of the middle ear or petrous bone. When the vestibule is invaded by a cholesteatoma, hearing is almost invariably lost, either pre- or postoperatively. However, in our case, wide opening of the vestibule resulted in hearing preservation.
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Affiliation(s)
- Francesco Fiorino
- Unità Operativa di Otorinolaringoiatria, Ospedale Civile Maggiore, Azienda Ospedaliera Universitaria Integrata, Piazzale Stefani, 37126 Verona, Italy.
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Calabrese M, Castellaro M, Bertoldo A, De Luca A, Pizzini FB, Ricciardi GK, Pitteri M, Zimatore S, Magliozzi R, Benedetti MD, Manganotti P, Montemezzi S, Reynolds R, Gajofatto A, Monaco S. Epilepsy in multiple sclerosis: The role of temporal lobe damage. Mult Scler 2016; 23:473-482. [DOI: 10.1177/1352458516651502] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Background: 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. Objectives: 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. Methods: 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. Results: 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). Conclusions: 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.
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Affiliation(s)
- M Calabrese
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - M Castellaro
- Department of Information Engineering, University of Padova, Padova, Italy
| | - A Bertoldo
- Department of Information Engineering, University of Padova, Padova, Italy
| | - A De Luca
- Department of Information Engineering, University of Padova, Padova, Italy/Scientific Institute, IRCCS “Eugenio Medea”, Neuroimaging Lab, Bosisio Parini, LC, Italy
| | - FB Pizzini
- Neuroradiology and Radiology Units, Department of Diagnostics and Pathology, Verona University Hospital, Verona, Italy
| | - GK Ricciardi
- Neuroradiology and Radiology Units, Department of Diagnostics and Pathology, Verona University Hospital, Verona, Italy
| | - M Pitteri
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - S Zimatore
- Neuroradiology and Radiology Units, Department of Diagnostics and Pathology, Verona University Hospital, Verona, Italy
| | - R Magliozzi
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy/Division of Brain Sciences, Faculty of Medicine, Hammersmith Hospital, Imperial College London, London, UK
| | - MD Benedetti
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - P Manganotti
- Neurology Section, University Hospital of Trieste, Trieste, Italy
| | - S Montemezzi
- Neuroradiology and Radiology Units, Department of Diagnostics and Pathology, Verona University Hospital, Verona, Italy
| | - R Reynolds
- Division of Brain Sciences, Faculty of Medicine, Hammersmith Hospital, Imperial College London, London, UK
| | - A Gajofatto
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - S Monaco
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
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Mutsaerts HJ, van Osch MJ, Zelaya FO, Wang DJ, Nordhøy W, Wang Y, Wastling S, Fernandez-Seara MA, Petersen E, Pizzini FB, Fallatah S, Hendrikse J, Geier O, Günther M, Golay X, Nederveen AJ, Bjørnerud A, Groote IR. Multi-vendor reliability of arterial spin labeling perfusion MRI using a near-identical sequence: Implications for multi-center studies. Neuroimage 2015; 113:143-52. [DOI: 10.1016/j.neuroimage.2015.03.043] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2014] [Revised: 02/23/2015] [Accepted: 03/16/2015] [Indexed: 01/22/2023] Open
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He BJ, Nolte G, Nagata K, Takano D, Yamazaki T, Fujimaki Y, Maeda T, Satoh Y, Heckers S, George MS, Lopes da Silva F, de Munck JC, Van Houdt PJ, Verdaasdonk RM, Ossenblok P, Mullinger K, Bowtell R, Bagshaw AP, Keeser D, Karch S, Segmiller F, Hantschk I, Berman A, Padberg F, Pogarell O, Scharnowski F, Karch S, Hümmer S, Keeser D, Paolini M, Kirsch V, Koller G, Rauchmann B, Kupka M, Blautzik J, Pogarell O, Razavi N, Jann K, Koenig T, Kottlow M, Hauf M, Strik W, Dierks T, Gotman J, Vulliemoz S, Lu Y, Zhang H, Yang L, Worrell G, He B, Gruber O, Piguet C, Hubl D, Homan P, Kindler J, Dierks T, Kim K, Steinhoff U, Wakai R, Koenig T, Kottlow M, Melie-García L, Mucci A, Volpe U, Prinster A, Salvatore M, Galderisi S, Linden DEJ, Brandeis D, Schroeder CE, Kayser C, Panzeri S, Kleinschmidt A, Ritter P, Walther S, Haueisen J, Lau S, Flemming L, Sonntag H, Maess B, Knösche TR, Lanfer B, Dannhauer M, Wolters CH, Stenroos M, Haueisen J, Wolters C, Aydin U, Lanfer B, Lew S, Lucka F, Ruthotto L, Vorwerk J, Wagner S, Ramon C, Guan C, Ang KK, Chua SG, Kuah WK, Phua KS, Chew E, Zhou H, Chuang KH, Ang BT, Wang C, Zhang H, Yang H, Chin ZY, Yu H, Pan Y, Collins L, Mainsah B, Colwell K, Morton K, Ryan D, Sellers E, Caves K, Throckmorton S, Kübler A, Holz EM, Zickler C, Sellers E, Ryan D, Brown K, Colwell K, Mainsah B, Caves K, Throckmorton S, Collins L, Wennberg R, Ahlfors SP, Grova C, Chowdhury R, Hedrich T, Heers M, Zelmann R, Hall JA, Lina JM, Kobayashi E, Oostendorp T, van Dam P, Oosterhof P, Linnenbank A, Coronel R, van Dessel P, de Bakker J, Rossion B, Jacques C, Witthoft N, Weiner KS, Foster BL, Miller KJ, Hermes D, Parvizi J, Grill-Spector K, Recanzone GH, Murray MM, Haynes JD, Richiardi J, Greicius M, De Lucia M, Müller KR, Formisano E, Smieskova R, Schmidt A, Bendfeldt K, Walter A, Riecher-Rössler A, Borgwardt S, Fusar-Poli P, Eliez S, Schmidt A, Sekihara K, Nagarajan SS, Schoffelen JM, Guggisberg AG, Nolte G, Balazs S, Kermanshahi K, Kiesenhofer W, Binder H, Rattay F, Antal A, Chaieb L, Paulus W, Bodis-Wollner I, Maurer K, Fein G, Camchong J, Johnstone J, Cardenas-Nicolson V, Fiederer LDJ, Lucka F, Yang S, Vorwerk J, Dümpelmann M, Cosandier-Rimélé D, Schulze-Bonhage A, Aertsen A, Speck O, Wolters CH, Ball T, Fuchs M, Wagner M, Kastner J, Tech R, Dinh C, Haueisen J, Baumgarten D, Hämäläinen MS, Lau S, Vogrin SJ, D'Souza W, Haueisen J, Cook MJ, Custo A, Van De Ville D, Vulliemoz S, Grouiller F, Michel CM, Malmivuo J, Aydin U, Vorwerk J, Küpper P, Heers M, Kugel H, Wellmer J, Kellinghaus C, Scherg M, Rampp S, Wolters C, Storti SF, Boscolo Galazzo I, Del Felice A, Pizzini FB, Arcaro C, Formaggio E, Mai R, Manganotti P, Koessler L, Vignal J, Cecchin T, Colnat-Coulbois S, Vespignani H, Ramantani G, Maillard L, Rektor I, Kuba R, Brázdil M, Chrastina J, Rektorova I, van Mierlo P, Carrette E, Strobbe G, Montes-Restrepo V, Vonck K, Vandenberghe S, Ahmed B, Brodely C, Carlson C, Kuzniecky R, Devinsky O, French J, Thesen T, Bénis D, David O, Lachaux JP, Seigneuret E, Krack P, Fraix V, Chabardès S, Bastin J, Jann K, Gee D, Kilroy E, Cannon T, Wang DJ, Hale JR, Mayhew SD, Przezdzik I, Arvanitis TN, Bagshaw AP, Plomp G, Quairiaux C, Astolfi L, Michel CM, Mayhew SD, Mullinger KJ, Bagshaw AP, Bowtell R, Francis ST, Schouten AC, Campfens SF, van der Kooij H, Koles Z, Lind J, Flor-Henry P, Wirth M, Haase CM, Villeneuve S, Vogel J, Jagust WJ, Kambeitz-Ilankovic L, Simon-Vermot L, Gesierich B, Duering M, Ewers M, Rektorova I, Krajcovicova L, Marecek R, Mikl M, Bracht T, Horn H, Strik W, Federspiel A, Schnell S, Höfle O, Stegmayer K, Wiest R, Dierks T, Müller TJ, Walther S, Surmeli T, Ertem A, Eralp E, Kos IH, Skrandies W, Flüggen S, Klein A, Britz J, Díaz Hernàndez L, Ro T, Michel CM, Lenartowicz A, Lau E, Rodriguez C, Cohen MS, Loo SK, Di Lorenzo G, Pagani M, Monaco L, Daverio A, Giannoudas I, La Porta P, Verardo AR, Niolu C, Fernandez I, Siracusano A, Flor-Henry P, Lind J, Koles Z, Bollmann S, Ghisleni C, O'Gorman R, Poil SS, Klaver P, Michels L, Martin E, Ball J, Eich-Höchli D, Brandeis D, Salisbury DF, Murphy TK, Butera CD, Mathalon DH, Fryer SL, Kiehl KA, Calhoun VC, Pearlson GD, Roach BJ, Ford JM, McGlashan TH, Woods SW, Volpe U, Merlotti E, Vignapiano A, Montefusco V, Plescia GM, Gallo O, Romano P, Mucci A, Galderisi S, Mingoia G, Langbein K, Dietzek M, Wagner G, Smesny, Scherpiet S, Maitra R, Gaser C, Sauer H, Nenadic I, Gonzalez Andino S, Grave de Peralta Menendez R, Grave de Peralta Menendez R, Sanchez Vives M, Rebollo B, Gonzalez Andino S, Frølich L, Andersen TS, Mørup M, Belfiore P, Gargiulo P, Ramon C, Vanhatalo S, Cho JH, Vorwerk J, Wolters CH, Knösche TR, Watanabe T, Kawabata Y, Ukegawa D, Kawabata S, Adachi Y, Sekihara K, Sekihara K, Nagarajan SS, Wagner S, Aydin U, Vorwerk J, Herrmann C, Burger M, Wolters C, Lucka F, Aydin U, Vorwerk J, Burger M, Wolters C, Bauer M, Trahms L, Sander T, Faber PL, Lehmann D, Gianotti LRR, Pascual-Marqui RD, Milz P, Kochi K, Kaneko S, Yamashita S, Yana K, Kalogianni K, Vardy AN, Schouten AC, van der Helm FCT, Sorrentino A, Luria G, Aramini R, Hunold A, Funke M, Eichardt R, Haueisen J, Gómez-Aguilar F, Vázquez-Olvera S, Cordova-Fraga T, Castro-López J, Hernández-Gonzalez MA, Solorio-Meza S, Sosa-Aquino M, Bernal-Alvarado JJ, Vargas-Luna M, Vorwerk J, Magyari L, Ludewig J, Oostenveld R, Wolters CH, Vorwerk J, Engwer C, Ludewig J, Wolters C, Sato K, Nishibe T, Furuya M, Yamashiro K, Yana K, Ono T, Puthanmadam Subramaniyam N, Hyttinen J, Lau S, Güllmar D, Flemming L, Haueisen J, Sonntag H, Vorwerk J, Wolters CH, Grasedyck L, Haueisen J, Maeß B, Freitag S, Graichen U, Fiedler P, Strohmeier D, Haueisen J, Stenroos M, Hauk O, Grigutsch M, Felber M, Maess B, Herrmann B, Strobbe G, van Mierlo P, Vandenberghe S, Strobbe G, Cárdenas-Peña D, Montes-Restrepo V, van Mierlo P, Castellanos-Dominguez G, Vandenberghe S, Lanfer B, Paul-Jordanov I, Scherg M, Wolters CH, Ito Y, Sato D, Kamada K, Kobayashi T, Dalal SS, Rampp S, Willomitzer F, Arold O, Fouladi-Movahed S, Häusler G, Stefan H, Ettl S, Zhang S, Zhang Y, Li H, Kong X, Montes-Restrepo V, Strobbe G, van Mierlo P, Vandenberghe S, Wong DDE, Bidet-Caulet A, Knight RT, Crone NE, Dalal SS, Birot G, Spinelli L, Vulliémoz S, Seeck M, Michel CM, Emory H, Wells C, Mizrahi N, Vogrin SJ, Lau S, Cook MJ, Karahanoglu FI, Grouiller F, Caballero-Gaudes C, Seeck M, Vulliemoz S, Van De Ville D, Spinelli L, Megevand P, Genetti M, Schaller K, Michel C, Vulliemoz S, Seeck M, Genetti M, Tyrand R, Grouiller F, Vulliemoz S, Spinelli L, Seeck M, Schaller K, Michel CM, Grouiller F, Heinzer S, Delattre B, Lazeyras F, Spinelli L, Pittau F, Seeck M, Ratib O, Vargas M, Garibotto V, Vulliemoz S, Vogrin SJ, Bailey CA, Kean M, Warren AE, Davidson A, Seal M, Harvey AS, Archer JS, Papadopoulou M, Leite M, van Mierlo P, Vonck K, Boon P, Friston K, Marinazzo D, Ramon C, Holmes M, Koessler L, Rikir E, Gavaret M, Bartolomei F, Vignal JP, Vespignani H, Maillard L, Centeno M, Perani S, Pier K, Lemieux L, Clayden J, Clark C, Pressler R, Cross H, Carmichael DW, Spring A, Bessemer R, Pittman D, Aghakhani Y, Federico P, Pittau F, Grouiller F, Vulliémoz S, Gotman J, Badier JM, Bénar CG, Bartolomei F, Cruto C, Chauvel P, Gavaret M, Brodbeck V, van Leeuwen T, Tagliazzuchi E, Melloni L, Laufs H, Griskova-Bulanova I, Dapsys K, Klein C, Hänggi J, Jäncke L, Ehinger BV, Fischer P, Gert AL, Kaufhold L, Weber F, Marchante Fernandez M, Pipa G, König P, Sekihara K, Hiyama E, Koga R, Iannilli E, Michel CM, Bartmuss AL, Gupta N, Hummel T, Boecker R, Holz N, Buchmann AF, Blomeyer D, Plichta MM, Wolf I, Baumeister S, Meyer-Lindenberg A, Banaschewski T, Brandeis D, Laucht M, Natahara S, Ueno M, Kobayashi T, Kottlow M, Bänninger A, Koenig T, Schwab S, Koenig T, Federspiel A, Dierks T, Jann K, Natsukawa H, Kobayashi T, Tüshaus L, Koenig T, Kottlow M, Achermann P, Wilson RS, Mayhew SD, Assecondi S, Arvanitis TN, Bagshaw AP, Darque A, Rihs TA, Grouiller F, Lazeyras F, Ha-Vinh Leuchter R, Caballero C, Michel CM, Hüppi PS, Hauser TU, Hunt LT, Iannaccone R, Stämpfli P, Brandeis D, Dolan RJ, Walitza S, Brem S, Graichen U, Eichardt R, Fiedler P, Strohmeier D, Freitag S, Zanow F, Haueisen J, Lordier L, Grouiller F, Van de Ville D, Sancho Rossignol A, Cordero I, Lazeyras F, Ansermet F, Hüppi P, Schläpfer A, Rubia K, Brandeis D, Di Lorenzo G, Pagani M, Monaco L, Daverio A, Giannoudas I, Verardo AR, La Porta P, Niolu C, Fernandez I, Siracusano A, Tamura K, Karube C, Mizuba T, Matsufuji M, Takashima S, Iramina K, Assecondi S, Ostwald D, Bagshaw AP, Marecek R, Brazdil M, Lamos M, Slavícek T, Marecek R, Jan J, Meier NM, Perrig W, Koenig T, Minami T, Noritake Y, Nakauchi S, Azuma K, Minami T, Nakauchi S, Rodriguez C, Lenartowicz A, Cohen MS, Rodriguez C, Lenartowicz A, Cohen MS, Iramina K, Kinoshita H, Tamura K, Karube C, Kaneko M, Ide J, Noguchi Y, Cohen MS, Douglas PK, Rodriguez CM, Xia HJ, Zimmerman EM, Konopka CJ, Epstein PS, Konopka LM, Giezendanner S, Fisler M, Soravia L, Andreotti J, Wiest R, Dierks T, Federspiel A, Razavi N, Federspiel A, Dierks T, Hauf M, Jann K, Kamada K, Sato D, Ito Y, Okano K, Mizutani N, Kobayashi T, Thelen A, Murray M, Pastena L, Formaggio E, Storti SF, Faralli F, Melucci M, Gagliardi R, Ricciardi L, Ruffino G, Coito A, Macku P, Tyrand R, Astolfi L, He B, Wiest R, Seeck M, Michel C, Plomp G, Vulliemoz S, Fischmeister FPS, Glaser J, Schöpf V, Bauer H, Beisteiner R, Deligianni F, Centeno M, Carmichael DW, Clayden J, Mingoia G, Langbein K, Dietzek M, Wagner G, Smesny S, Scherpiet S, Maitra R, Gaser C, Sauer H, Nenadic I, Dürschmid S, Zaehle T, Pannek H, Chang HF, Voges J, Rieger J, Knight RT, Heinze HJ, Hinrichs H, Tsatsishvili V, Cong F, Puoliväli T, Alluri V, Toiviainen P, Nandi AK, Brattico E, Ristaniemi T, Grieder M, Crinelli RM, Jann K, Federspiel A, Wirth M, Koenig T, Stein M, Wahlund LO, Dierks T, Atsumori H, Yamaguchi R, Okano Y, Sato H, Funane T, Sakamoto K, Kiguchi M, Tränkner A, Schindler S, Schmidt F, Strauß M, Trampel R, Hegerl U, Turner R, Geyer S, Schönknecht P, Kebets V, van Assche M, Goldstein R, van der Meulen M, Vuilleumier P, Richiardi J, Van De Ville D, Assal F, Wozniak-Kwasniewska A, Szekely D, Harquel S, Bougerol T, David O, Bracht T, Jones DK, Horn H, Müller TJ, Walther S, Sos P, Klirova M, Novak T, Brunovsky M, Horacek J, Bares M, Hoschl C C, Fellhauer I, Zöllner FG, Schröder J, Kong L, Essig M, Schad LR, Arrubla J, Neuner I, Hahn D, Boers F, Shah NJ, Neuner I, Arrubla J, Hahn D, Boers F, Jon Shah N, Suriya Prakash M, Sharma R, Kawaguchi H, Kobayashi T, Fiedler P, Griebel S, Biller S, Fonseca C, Vaz F, Zentner L, Zanow F, Haueisen J, Rochas V, Rihs T, Thut G, Rosenberg N, Landis T, Michel C, Moliadze V, Schmanke T, Lyzhko E, Bassüner S, Freitag C, Siniatchkin M, Thézé R, Guggisberg AG, Nahum L, Schnider A, Meier L, Friedrich H, Jann K, Landis B, Wiest R, Federspiel A, Strik W, Dierks T, Witte M, Kober SE, Neuper C, Wood G, König R, Matysiak A, Kordecki W, Sieluzycki C, Zacharias N, Heil P, Wyss C, Boers F, Arrubla J, Dammers J, Kawohl W, Neuner I, Shah NJ, Braboszcz C, Cahn RB, Levy J, Fernandez M, Delorme A, Rosas-Martinez L, Milne E, Zheng Y, Urakami Y, Kawamura K, Washizawa Y, Hiyoshi K, Cichocki A, Giroud N, Dellwo V, Meyer M, Rufener KS, Liem F, Dellwo V, Meyer M, Jones-Rounds JD, Raizada R, Staljanssens W, Strobbe G, van Mierlo P, Van Holen R, Vandenberghe S, Pefkou M, Becker R, Michel C, Hervais-Adelman A, He W, Brock J, Johnson B, Ohla K, Hitz K, Heekeren K, Obermann C, Huber T, Juckel G, Kawohl W, Gabriel D, Comte A, Henriques J, Magnin E, Grigoryeva L, Ortega JP, Haffen E, Moulin T, Pazart L, Aubry R, Kukleta M, Baris Turak B, Louvel J, Crespo-Garcia M, Cantero JL, Atienza M, Connell S, Kilborn K, Damborská A, Brázdil M, Rektor I, Kukleta M, Koberda JL, Bienkiewicz A, Koberda I, Koberda P, Moses A, Tomescu M, Rihs T, Britz J, Custo A, Grouiller F, Schneider M, Debbané M, Eliez S, Michel C, Wang GY, Kydd R, Wouldes TA, Jensen M, Russell BR, Dissanayaka N, Au T, Angwin A, O'Sullivan J, Byrne G, Silburn P, Marsh R, Mellic G, Copland D, Bänninger A, Kottlow M, Díaz Hernàndez L, Koenig T, Díaz Hernàndez L, Bänninger A, Koenig T, Hauser TU, Iannaccone R, Mathys C, Ball J, Drechsler R, Brandeis D, Walitza S, Brem S, Boeijinga PH, Pang EW, Valica T, Macdonald MJ, Oh A, Lerch JP, Anagnostou E, Di Lorenzo G, Pagani M, Monaco L, Daverio A, Verardo AR, Giannoudas I, La Porta P, Niolu C, Fernandez I, Siracusano A, Shimada T, Matsuda Y, Monkawa A, Monkawa T, Hashimoto R, Watanabe K, Kawasaki Y, Matsuda Y, Shimada T, Monkawa T, Monkawa A, Watanabe K, Kawasaki Y, Stegmayer K, Horn H, Federspiel A, Razavi N, Bracht T, Laimböck K, Strik W, Dierks T, Wiest R, Müller TJ, Walther S, Koorenhof LJ, Swithenby SJ, Martins-Mourao A, Rihs TA, Tomescu M, Song KW, Custo A, Knebel JF, Murray M, Eliez S, Michel CM, Volpe U, Merlotti E, Vignapiano A, Montefusco V, Plescia GM, Gallo O, Romano P, Mucci A, Galderisi S, Laimboeck K, Jann K, Walther S, Federspiel A, Wiest R, Strik W, Horn H. Abstracts of Presentations at the International Conference on Basic and Clinical Multimodal Imaging (BaCI), a Joint Conference of the International Society for Neuroimaging in Psychiatry (ISNIP), the International Society for Functional Source Imaging (ISFSI), the International Society for Bioelectromagnetism (ISBEM), the International Society for Brain Electromagnetic Topography (ISBET), and the EEG and Clinical Neuroscience Society (ECNS), in Geneva, Switzerland, September 5-8, 2013. Clin EEG Neurosci 2013; 44:1550059413507209. [PMID: 24368763 DOI: 10.1177/1550059413507209] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- B J He
- National Institutes of Health, Bethesda, MD, USA
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Boscolo Galazzo I, Storti SF, Formaggio E, Pizzini FB, Fiaschi A, Beltramello A, Bertoldo A, Manganotti P. Investigation of brain hemodynamic changes induced by active and passive movements: A combined arterial spin labeling-BOLD fMRI study. J Magn Reson Imaging 2013; 40:937-48. [DOI: 10.1002/jmri.24432] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2013] [Accepted: 08/30/2013] [Indexed: 12/13/2022] Open
Affiliation(s)
- Ilaria Boscolo Galazzo
- Department of Neurological and Movement Sciences, Section of Neurology; University of Verona; Italy
| | - Silvia F. Storti
- Department of Neurological and Movement Sciences, Section of Neurology; University of Verona; Italy
| | - Emanuela Formaggio
- Department of Neurophysiology Foundation IRCCS; San Camillo Hospital; Venice Italy
| | | | - Antonio Fiaschi
- Department of Neurological and Movement Sciences, Section of Neurology; University of Verona; Italy
- Department of Neurophysiology Foundation IRCCS; San Camillo Hospital; Venice Italy
- Clinical Neurophysiology and Functional Neuroimaging Unit; AOUI of Verona; Italy
| | | | | | - Paolo Manganotti
- Department of Neurological and Movement Sciences, Section of Neurology; University of Verona; Italy
- Department of Neurophysiology Foundation IRCCS; San Camillo Hospital; Venice Italy
- Clinical Neurophysiology and Functional Neuroimaging Unit; AOUI of Verona; Italy
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Pizzini FB, Farace P, Manganotti P, Zoccatelli G, Bongiovanni LG, Golay X, Beltramello A, Osculati A, Bertini G, Fabene PF. Cerebral perfusion alterations in epileptic patients during peri-ictal and post-ictal phase: PASL vs DSC-MRI. Magn Reson Imaging 2013; 31:1001-5. [PMID: 23623332 DOI: 10.1016/j.mri.2013.03.023] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2012] [Revised: 03/24/2013] [Accepted: 03/24/2013] [Indexed: 12/28/2022]
Abstract
Non-invasive pulsed arterial spin labeling (PASL) MRI is a method to study brain perfusion that does not require the administration of a contrast agent, which makes it a valuable diagnostic tool as it reduces cost and side effects. The purpose of the present study was to establish the viability of PASL as an alternative to dynamic susceptibility contrast (DSC-MRI) and other perfusion imaging methods in characterizing changes in perfusion patterns caused by seizures in epileptic patients. We evaluated 19 patients with PASL. Of these, the 9 affected by high-frequency seizures were observed during the peri-ictal period (within 5hours since the last seizure), while the 10 patients affected by low-frequency seizures were observed in the post-ictal period. For comparison, 17/19 patients were also evaluated with DSC-MRI and CBF/CBV. PASL imaging showed focal vascular changes, which allowed the classification of patients in three categories: 8 patients characterized by increased perfusion, 4 patients with normal perfusion and 7 patients with decreased perfusion. PASL perfusion imaging findings were comparable to those obtained by DSC-MRI. Since PASL is a) sensitive to vascular alterations induced by epileptic seizures, b) comparable to DSC-MRI for detecting perfusion asymmetries, c) potentially capable of detecting time-related perfusion changes, it can be recommended for repeated evaluations, to identify the epileptic focus, and in follow-up and/or therapy-response assessment.
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Affiliation(s)
- Francesca B Pizzini
- Department of Pathology and Diagnostics, Unit of Neuroradiology, University Hospital Verona, Verona, Italy.
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Fiorino F, Pizzini FB, Barbieri F, Beltramello A. Variability in the perilymphatic diffusion of gadolinium does not predict the outcome of intratympanic gentamicin in patients with Ménière's disease. Laryngoscope 2012; 122:907-11. [PMID: 22374878 DOI: 10.1002/lary.23211] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2011] [Revised: 12/10/2011] [Accepted: 12/27/2011] [Indexed: 11/09/2022]
Abstract
OBJECTIVES/HYPOTHESIS To assess the utility of imaging in planning intratympanic (IT) gentamicin (Gent) treatment in Ménière's disease (MD), we compared the dosage and outcomes of ITGent with the severity and extent of endolymphatic hydrops (EH), as evaluated by three-dimensional fluid-attenuated inversion recovery (3D-FLAIR) sequence in a 3-T magnetic resonance imaging (MRI) unit, after IT gadolinium administration. STUDY DESIGN Retrospective review. METHODS A total of 18 patients (10 males and 8 females; age, 28-78 years; median age, 53.2 years) with definite MD participated in the investigation. The duration of the disease ranged from 8 months to 9 years (median, 2 years), with a prevalence of vertigo spells ranging from 0.8 to 8 per month (median, 2.2), as calculated in the last 6 months. A 3D-FLAIR MRI was performed 24 hours after IT injection of diluted gadobutrol. ITGent injection was performed within a variable period of time, from 1 week to 3 weeks after 3D-FLAIR MRI. The degree and extension of EH as evaluated by 3D-FLAIR MRI were compared with the number of injections necessary to cure vertigo attacks. Vertigo results, functional level scale modifications, variations in caloric excitability, and pure-tone average modifications. RESULTS No statistically significant correlation was observed between severity of EH and outcomes of ITGent administration. CONCLUSIONS The hypothesis of a reduced effect of Gent administered intratympanically in the presence of severe EH, owing to obstacled diffusion along the perilymphatic compartments, has not been confirmed in the present investigation.
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Canu E, McLaren DG, Fitzgerald ME, Bendlin BB, Zoccatelli G, Alessandrini F, Pizzini FB, Ricciardi GK, Beltramello A, Johnson SC, Frisoni GB. Mapping the structural brain changes in Alzheimer's disease: the independent contribution of two imaging modalities. J Alzheimers Dis 2012; 26 Suppl 3:263-74. [PMID: 21971466 DOI: 10.3233/jad-2011-0040] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The macrostructural atrophy of Alzheimer's disease (AD) has been fully described. Current literature reports that also microstructural alterations occur in AD since the early stages. However, whether the microstructural changes offer unique information independent from macrostructural atrophy is unclear. Aim of this study is to define the independent contribution of macrostructural atrophy and microstructural alterations on AD pathology. The study involved 17 moderate to severe AD patients and 13 healthy controls. All participants underwent conventional and non conventional MRI (respectively, T1-weighted and diffusion-weighted MR scanning). We processed the images in order to obtain gray and white matter volumes to assess macrostructural atrophy, and fractional anisotropy and mean diffusivity to assess the microstructural damage. Analyses of covariance between patients and controls were performed to investigate microstructural tissue damage independent of macrostructural tissue loss, and vice versa, voxel by voxel. We observed microstructural differences, independent of macrostructural atrophy, between patients and controls in temporal and retrosplenial regions, as well as in thalamus, corticopontine tracts, striatum and precentral gyrus. Volumetric differences, independent of microstructural alterations, were observed mainly in the entorhinal cortex, posterior cingulum, and splenium. Measures of microstructural damage provide unique information not obtainable with volumetric mapping in regions known to be pivotal in AD as well as in others thought to be spared. This work expands the understanding of the topography of pathological changes in AD that can be captured with imaging techniques.
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Affiliation(s)
- Elisa Canu
- LENITEM - Laboratory of Epidemiology Neuroimaging and Telemedicine, IRCCS Centro San Giovanni di Dio FBF, The National Centre for Research and Care of Alzheimer's and Mental Diseases, Brescia, Italy
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Lorenzi M, Beltramello A, Mercuri NB, Canu E, Zoccatelli G, Pizzini FB, Alessandrini F, Cotelli M, Rosini S, Costardi D, Caltagirone C, Frisoni GB. Effect of memantine on resting state default mode network activity in Alzheimer's disease. Drugs Aging 2011; 28:205-17. [PMID: 21250762 DOI: 10.2165/11586440-000000000-00000] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND Memantine is an approved symptomatic treatment for moderate to severe Alzheimer's disease that reduces the excitotoxic effects of hyperactive glutamatergic transmission. However, the exact mechanism of the effect of memantine in Alzheimer's disease patients is poorly understood. Importantly, the default mode network (DMN), which plays a key role in attention, is hypoactive in Alzheimer's disease and is under glutamatergic control. OBJECTIVE To assess the effect of memantine on the activity of the DMN in moderate to severe Alzheimer's disease. METHODS Functional magnetic resonance imaging (MRI) data from 15 patients with moderate to severe Alzheimer's disease, seven treated with memantine (mean ± SD age 77 ± 8 years, mean ± SD Mini-Mental State Examination [MMSE] score 16 ± 5) and eight with placebo (mean ± SD age 76 ± 6 years, mean ± SD MMSE score 13 ± 1), were acquired at baseline (T0) and after 6 months of treatment (T6). Resting state components were extracted after spatial normalization in individual patients with independent component analysis. The consistency of the components was assessed using ICASSO and the DMN was recognized through spatial correlation with a pre-defined template. Voxel-based statistical analyses were performed to study the change in DMN activity from T0 to T6 in the two groups. RESULTS At T0, the two groups showed similar DMN activity except in the precuneus and cuneus, where the patients who started treatment with memantine had slightly greater activity (p < 0.05 corrected for familywise error [FWE]). The prospective comparison between T0 and T6 in the treated patients showed increased DMN activation mapping in the precuneus (p < 0.05, FWE corrected), while the prospective comparison in the untreated patients did not show significant changes. The treatment × time interaction term was significant at p < 0.05, FWE corrected. CONCLUSIONS The results suggest a positive effect of memantine treatment in patients with moderate to severe Alzheimer's disease, resulting in an increased resting DMN activity in the precuneus region over 6 months. Future studies confirming the present findings are required to further demonstrate the beneficial effects of memantine on the DMN in Alzheimer's disease.
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Affiliation(s)
- Marco Lorenzi
- Laboratory of Epidemiology, Neuroimaging and Telemedicine, Istituto di Ricerca e Cura a Carattere Scientifico San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
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Manganotti P, Storti SF, Formaggio E, Acler M, Zoccatelli G, Pizzini FB, Alessandrini F, Bertoldo A, Toffolo GM, Bovi P, Beltramello A, Moretto G, Fiaschi A. Effect of median-nerve electrical stimulation on BOLD activity in acute ischemic stroke patients. Clin Neurophysiol 2011; 123:142-53. [PMID: 21741301 DOI: 10.1016/j.clinph.2011.05.028] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2011] [Revised: 05/09/2011] [Accepted: 05/13/2011] [Indexed: 11/19/2022]
Abstract
OBJECTIVE To investigate blood oxygenation level-dependent (BOLD) activation during somatosensory electrical stimulation of the median nerve in acute stroke patients and to determine its correlation with ischemic damage and clinical recovery over time. METHODS Fourteen acute stroke patients underwent functional magnetic resonance imaging (fMRI) during contralesional median-nerve electrical stimulation 12-48 h after stroke. Findings were then validated by diffusion tensor imaging (DTI) and motor evoked potential by transcranial magnetic stimulation (TMS). RESULTS Poor clinical recovery at three months was noted in four patients with no activation in the early days after stroke, whereas good clinical recovery was observed in eight patients with a normal activation pattern in the primary sensory motor area in the acute phase. In two patients BOLD activation correlated weakly with clinical recovery. Findings from TMS and DTI partially correlated with clinical recovery and functional scores. CONCLUSIONS Clinically relevant insights into the "functional reserve" of stroke patients gained with peripheral nerve stimulation during fMRI may carry prognostic value already in the acute period of a cerebrovascular accident. SIGNIFICANCE BOLD activation maps could provide insights into the functional organization of the residual systems and could contribute to medical decision making in neurological and rehabilitative treatment.
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Affiliation(s)
- P Manganotti
- Department of Neurological, Neuropsychological, Morphological and Movement Sciences, Section of Clinical Neurology, University of Verona, Verona, Italy
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