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Coppola G, Corbelli I, Di Renzo A, Chiappiniello A, Chiarini P, Parisi V, Guercini G, Calabresi P, Tarducci R, Sarchielli P. Visual stimulation and frequency of focal neurological symptoms engage distinctive neurocognitive resources in migraine with aura patients: a study of resting-state functional networks. J Headache Pain 2022; 23:80. [PMID: 35820799 PMCID: PMC9277919 DOI: 10.1186/s10194-022-01446-4] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 06/23/2022] [Indexed: 11/10/2022] Open
Abstract
Introduction Several functional neuroimaging studies on healthy controls and patients with migraine with aura have shown that the activation of functional networks during visual stimulation is not restricted to the striate system, but also includes several extrastriate networks. Methods Before and after 4 min of visual stimulation with a checkerboard pattern, we collected functional MRI in 21 migraine with aura (MwA) patients and 18 healthy subjects (HS). For each recording session, we identified independent resting-state networks in each group and correlated network connection strength changes with clinical disease features. Results Before visual stimulation, we found reduced connectivity between the default mode network and the left dorsal attention system (DAS) in MwA patients compared to HS. In HS, visual stimulation increases functional connectivity between the independent components of the bilateral DAS and the executive control network (ECN). In MwA, visual stimulation significantly improved functional connectivity between the independent component pairs salience network and DAS, and between DAS and ECN. The ECN Z-scores after visual stimulation were negatively related to the monthly frequency of aura. Conclusions In individuals with MwA, 4 min of visual stimulation had stronger cognitive impact than in healthy people. A higher frequency of aura may lead to a diminished ability to obtain cognitive resources to cope with transitory but important events like aura-related focal neurological symptoms.
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Affiliation(s)
- Gianluca Coppola
- Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome Polo Pontino - I.C.O.T., Via Franco Faggiana 1668, 04100, Latina, Italy.
| | - Ilenia Corbelli
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | | | | | - Pietro Chiarini
- Medical Physics Service, Azienda Ospedaliera Di Perugia, Perugia, Italy
| | | | - Giorgio Guercini
- Neuroradiology Service, Azienda Ospedaliera Di Perugia, Perugia, Italy
| | - Paolo Calabresi
- Department of Neuroscience, Cattolica Sacro Cuore University, Rome, Italy.,Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Roberto Tarducci
- Medical Physics Service, Azienda Ospedaliera Di Perugia, Perugia, Italy
| | - Paola Sarchielli
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Perugia, Italy
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Fedeli L, Belli G, Ciccarone A, Coniglio A, Esposito M, Giannelli M, Sghedoni R, Tarducci R, Altabella L, Belligotti E, Benelli M, Bernardi L, Betti M, Caivano R, Carni M, Chiappiniello A, Cimolai S, Cretti F, Fulcheri C, Gasperi C, Giacometti M, Levrero F, Lizio D, Maieron M, Marzi S, Mascaro L, Mazzocchi S, Meliado G, Morzenti S, Niespolo A, Nocetti L, Noferini L, Oberhofer N, Orsingher L, Quattrocchi M, Ricci A, Savini A, Taddeucci A, Testa C, Tortoli P, Luchinat C, Tenori L, Gobbi G, Gori C, Busoni S, Mazzoni L. Multicenter comparison of MR scanners for quantitative diffusion weighted imaging: apparent diffusion coefficient dependence on acquisition plan and spatial position – preliminary results. Phys Med 2021. [DOI: 10.1016/s1120-1797(22)00475-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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3
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Belli G, Coniglio A, Bettarini S, Tortoli P, Fedeli L, Giannelli M, Mazzoni L, Nocetti L, Sghedoni R, Tarducci R, Belligotti E, Canzi C, Chiappiniello A, Cimolai S, Giovannini G, Lizio D, Marzi S, Mascaro L, Mazzocchi S, Meliadò G, Morzenti S, Niespolo A, Noferini L, Oberhofer N, Origgi D, Paruccini N, Quattrocchi M, Savini A, Solla I, Taddeucci A, Busoni S. Multicentre comparison of MR scanners (15T, 3T) for MR T1-T2 relaxometry. Phys Med 2021. [DOI: 10.1016/s1120-1797(22)00490-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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4
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van Waalwijk van Doorn LJC, Ghafoorian M, van Leijsen EMC, Claassen JAHR, Arighi A, Bozzali M, Cannas J, Cavedo E, Eusebi P, Farotti L, Fenoglio C, Fortea J, Frisoni GB, Galimberti D, Greco V, Herukka SK, Liu Y, Lleó A, de Mendonça A, Nobili FM, Parnetti L, Picco A, Pikkarainen M, Salvadori N, Scarpini E, Soininen H, Tarducci R, Urbani A, Vilaplana E, Meulenbroek O, Platel B, Verbeek MM, Kuiperij HB. White Matter Hyperintensities Are No Major Confounder for Alzheimer's Disease Cerebrospinal Fluid Biomarkers. J Alzheimers Dis 2021; 79:163-175. [PMID: 33252070 PMCID: PMC7902951 DOI: 10.3233/jad-200496] [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] [Indexed: 11/23/2022]
Abstract
Background: The cerebrospinal fluid (CSF) biomarkers amyloid-β 1–42 (Aβ42), total and phosphorylated tau (t-tau, p-tau) are increasingly used to assist in the clinical diagnosis of Alzheimer’s disease (AD). However, CSF biomarker levels can be affected by confounding factors. Objective: To investigate the association of white matter hyperintensities (WMHs) present in the brain with AD CSF biomarker levels. Methods: We included CSF biomarker and magnetic resonance imaging (MRI) data of 172 subjects (52 controls, 72 mild cognitive impairment (MCI), and 48 AD patients) from 9 European Memory Clinics. A computer aided detection system for standardized automated segmentation of WMHs was used on MRI scans to determine WMH volumes. Association of WMH volume with AD CSF biomarkers was determined using linear regression analysis. Results: A small, negative association of CSF Aβ42, but not p-tau and t-tau, levels with WMH volume was observed in the AD (r2 = 0.084, p = 0.046), but not the MCI and control groups, which was slightly increased when including the distance of WMHs to the ventricles in the analysis (r2 = 0.105, p = 0.025). Three global patterns of WMH distribution, either with 1) a low, 2) a peak close to the ventricles, or 3) a high, broadly-distributed WMH volume could be observed in brains of subjects in each diagnostic group. Conclusion: Despite an association of WMH volume with CSF Aβ42 levels in AD patients, the occurrence of WMHs is not accompanied by excess release of cellular proteins in the CSF, suggesting that WMHs are no major confounder for AD CSF biomarker assessment.
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Affiliation(s)
- Linda J C van Waalwijk van Doorn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, the Netherlands.,Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Mohsen Ghafoorian
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Esther M C van Leijsen
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jurgen A H R Claassen
- Department of Geriatrics, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Andrea Arighi
- Fondazione IRCCS Ca' Granda, Ospedale Policlinico, Milan, Italy
| | - Marco Bozzali
- IRCCS Fondazione Santa Lucia, Rome, Italy.,Department of Neuroscience, Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom
| | - Jorge Cannas
- Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Enrica Cavedo
- Laboratory of Epidemiology, Neuroimaging and Telemedicine, IRCCS San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,Sorbonne University, GRC n° 21, Alzheimer Precision Medicine (APM), AP-HP, Pitié-Salpêtrière Hospital, Boulevard de l'hôpital, Paris, France; Qynapse, Paris, France
| | - Paolo Eusebi
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Lucia Farotti
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | | | - Juan Fortea
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Giovanni B Frisoni
- Laboratory of Epidemiology, Neuroimaging and Telemedicine, IRCCS San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,University Hospitals and University of Geneva, Geneva, Switzerland
| | - Daniela Galimberti
- Fondazione IRCCS Ca' Granda, Ospedale Policlinico, Milan, Italy.,University of Milan, Dino Ferrari Center, Milan, Italy
| | - Viviana Greco
- Fondazione Policlinica Universitario "A. Gemelli" -IRCCS, Rome, Italy.,Department of Basic Biotechnological Sciences, Intensivological and Perioperative Clinics, Università Cattolica, Rome, Italy
| | - Sanna-Kaisa Herukka
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Yawu Liu
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Alberto Lleó
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | | | - Flavio M Nobili
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Lucilla Parnetti
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Agnese Picco
- Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
| | - Maria Pikkarainen
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Nicola Salvadori
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Elio Scarpini
- Fondazione IRCCS Ca' Granda, Ospedale Policlinico, Milan, Italy.,University of Milan, Dino Ferrari Center, Milan, Italy
| | - Hilkka Soininen
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Roberto Tarducci
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Andrea Urbani
- Fondazione Policlinica Universitario "A. Gemelli" -IRCCS, Rome, Italy.,Department of Basic Biotechnological Sciences, Intensivological and Perioperative Clinics, Università Cattolica, Rome, Italy
| | - Eduard Vilaplana
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.,Center of Biomedical Investigation Network for Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Olga Meulenbroek
- Department of Geriatrics, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Bram Platel
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marcel M Verbeek
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, the Netherlands.,Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - H Bea Kuiperij
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, the Netherlands.,Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
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5
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Fedeli L, Benelli M, Busoni S, Belli G, Ciccarone A, Coniglio A, Esposito M, Nocetti L, Sghedoni R, Tarducci R, Altabella L, Belligotti E, Bettarini S, Betti M, Caivano R, Carnì M, Chiappiniello A, Cimolai S, Cretti F, Fulcheri C, Gasperi C, Giacometti M, Levrero F, Lizio D, Maieron M, Marzi S, Mascaro L, Mazzocchi S, Meliadò G, Morzenti S, Niespolo A, Noferini L, Oberhofer N, Orsingher L, Quattrocchi M, Ricci A, Savini A, Taddeucci A, Testa C, Tortoli P, Gobbi G, Gori C, Bernardi L, Giannelli M, Mazzoni LN. On the dependence of quantitative diffusion-weighted imaging on scanner system characteristics and acquisition parameters: A large multicenter and multiparametric phantom study with unsupervised clustering analysis. Phys Med 2021; 85:98-106. [PMID: 33991807 DOI: 10.1016/j.ejmp.2021.04.020] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 03/31/2021] [Accepted: 04/23/2021] [Indexed: 11/25/2022] Open
Abstract
PURPOSE The purpose of this multicenter phantom study was to exploit an innovative approach, based on an extensive acquisition protocol and unsupervised clustering analysis, in order to assess any potential bias in apparent diffusion coefficient (ADC) estimation due to different scanner characteristics. Moreover, we aimed at assessing, for the first time, any effect of acquisition plan/phase encoding direction on ADC estimation. METHODS Water phantom acquisitions were carried out on 39 scanners. DWI acquisitions (b-value = 0-200-400-600-800-1000 s/mm2) with different acquisition plans (axial, coronal, sagittal) and phase encoding directions (anterior/posterior and right/left, for the axial acquisition plan), for 3 orthogonal diffusion weighting gradient directions, were performed. For each acquisition setup, ADC values were measured in-center and off-center (6 different positions), resulting in an entire dataset of 84 × 39 = 3276 ADC values. Spatial uniformity of ADC maps was assessed by means of the percentage difference between off-center and in-center ADC values (Δ). RESULTS No significant dependence of in-center ADC values on acquisition plan/phase encoding direction was found. Ward unsupervised clustering analysis showed 3 distinct clusters of scanners and an association between Δ-values and manufacturer/model, whereas no association between Δ-values and maximum gradient strength, slew rate or static magnetic field strength was revealed. Several acquisition setups showed significant differences among groups, indicating the introduction of different biases in ADC estimation. CONCLUSIONS Unsupervised clustering analysis of DWI data, obtained from several scanners using an extensive acquisition protocol, allows to reveal an association between measured ADC values and manufacturer/model of scanner, as well as to identify suboptimal DWI acquisition setups for accurate ADC estimation.
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Affiliation(s)
- Luca Fedeli
- S.O.C. Fisica Sanitaria Pistoia-Prato, A.U.S.L. Toscana Centro, Italy
| | - Matteo Benelli
- Bioinformatics Unit, Hospital of Prato, A.U.S.L. Toscana Centro, Italy
| | - Simone Busoni
- U.O.C. Fisica Sanitaria, A.O.U. Careggi, Firenze, Italy
| | - Giacomo Belli
- U.O.C. Fisica Sanitaria, A.O.U. Careggi, Firenze, Italy
| | | | - Angela Coniglio
- Department of Medical Physics, P.O. S. Filippo Neri, Roma, Italy
| | - Marco Esposito
- S.C. Fisica Sanitaria Firenze-Empoli, A.U.S.L. Toscana Centro, Firenze, Italy
| | - Luca Nocetti
- Servizio di Fisica Medica, A.O.U. Policlinico di Modena, Modena, Italy
| | - Roberto Sghedoni
- Fisica Medica, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | | | - Luisa Altabella
- Medical Physics Department, Hospital of Trento, APSS, Trento, Italy
| | - Eleonora Belligotti
- Fisica Medica ed Alte Tecnologie, A.O. Ospedali Riuniti Marche Nord, Pesaro, Italy
| | - Silvia Bettarini
- U.O.C. Fisica Sanitaria, A.O.U. Careggi, Firenze, Italy; Università degli Studi di Firenze, Firenze, Italy
| | - Margherita Betti
- S.O.C. Fisica Sanitaria Pistoia-Prato, A.U.S.L. Toscana Centro, Italy
| | - Rocchina Caivano
- U.O. Radioterapia Oncologica e Fisica Sanitaria, I.R.C.C.S. CROB, Rionero in Vulture (PZ), Italy
| | - Marco Carnì
- U.O.D. Fisica Sanitaria, A.O.U. Policlinico Umberto I, Roma, Italy
| | | | - Sara Cimolai
- U.O. Fisica Sanitaria, U.L.S.S. 2 Marca Trevigiana, Treviso, Italy
| | - Fabiola Cretti
- U.S.C. Fisica Sanitaria, A.O. Papa Giovanni XXIII, Bergamo, Italy
| | | | - Chiara Gasperi
- U.O.S.D. Fisica Sanitaria Arezzo, A.U.S.L. Toscana Sud Est, Arezzo, Italy
| | - Mara Giacometti
- S.O.D. Fisica Sanitaria, A.O.U. Ospedali Riuniti di Ancona, Ancona, Italy
| | - Fabrizio Levrero
- U.O. Fisica Sanitaria, Ospedale Policlinico San Martino, Genova, Italy
| | - Domenico Lizio
- Fisica Sanitaria, A.S.S.T. Grande Ospedale Metropolitano Niguarda, Milano, Italy
| | - Marta Maieron
- S.O.C. Fisica Sanitaria, A.S.U.I. Udine S. Maria della Misericordia, Udine, Italy
| | - Simona Marzi
- S.C. Laboratorio di Fisica Medica e Sistemi Esperti, Istituto Nazionale Tumori Regina Elena, Roma, Italy
| | - Lorella Mascaro
- U.O.C. Fisica Sanitaria, A.S.S.T. Spedali Civili, Brescia, Italy
| | - Silvia Mazzocchi
- S.C. Fisica Sanitaria Firenze-Empoli, A.U.S.L. Toscana Centro, Firenze, Italy
| | - Gabriele Meliadò
- U.O.C. Fisica Sanitaria, A.O.U. Integrata di Verona, Verona, Italy
| | | | - Alessandra Niespolo
- U.O.C. Fisica Sanitaria Area Nord, A.U.S.L. Toscana Nord Ovest, Lucca, Italy
| | | | - Nadia Oberhofer
- Servizio Aziendale di Fisica Sanitaria, A.S. dell'Alto Adige, Bolzano, Italy
| | - Laura Orsingher
- U.O. Fisica Sanitaria, U.L.S.S. 2 Marca Trevigiana, Treviso, Italy
| | | | | | - Alessandro Savini
- Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
| | | | - Claudia Testa
- Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy
| | - Paolo Tortoli
- U.O.C. Fisica Sanitaria, A.O.U. Careggi, Firenze, Italy; Università degli Studi di Firenze, Firenze, Italy
| | - Gianni Gobbi
- Università degli Studi di Perugia, Perugia, Italy
| | - Cesare Gori
- Università degli Studi di Firenze, Firenze, Italy
| | - Luca Bernardi
- S.O.C. Fisica Sanitaria Pistoia-Prato, A.U.S.L. Toscana Centro, Italy
| | - Marco Giannelli
- Unit of Medical Physics, Pisa University Hospital "Azienda Ospedaliero-Universitaria Pisana", Pisa, Italy.
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6
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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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7
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Ribaldi F, Altomare D, Jovicich J, Ferrari C, Picco A, Pizzini FB, Soricelli A, Mega A, Ferretti A, Drevelegas A, Bosch B, Müller BW, Marra C, Cavaliere C, Bartrés-Faz D, Nobili F, Alessandrini F, Barkhof F, Gros-Dagnac H, Ranjeva JP, Wiltfang J, Kuijer J, Sein J, Hoffmann KT, Roccatagliata L, Parnetti L, Tsolaki M, Constantinidis M, Aiello M, Salvatore M, Montalti M, Caulo M, Didic M, Bargallo N, Blin O, Rossini PM, Schonknecht P, Floridi P, Payoux P, Visser PJ, Bordet R, Lopes R, Tarducci R, Bombois S, Hensch T, Fiedler U, Richardson JC, Frisoni GB, Marizzoni M. Accuracy and reproducibility of automated white matter hyperintensities segmentation with lesion segmentation tool: A European multi-site 3T study. Magn Reson Imaging 2020; 76:108-115. [PMID: 33220450 DOI: 10.1016/j.mri.2020.11.008] [Citation(s) in RCA: 20] [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: 07/22/2020] [Revised: 10/02/2020] [Accepted: 11/14/2020] [Indexed: 01/18/2023]
Abstract
Brain vascular damage accumulate in aging and often manifest as white matter hyperintensities (WMHs) on MRI. Despite increased interest in automated methods to segment WMHs, a gold standard has not been achieved and their longitudinal reproducibility has been poorly investigated. The aim of present work is to evaluate accuracy and reproducibility of two freely available segmentation algorithms. A harmonized MRI protocol was implemented in 3T-scanners across 13 European sites, each scanning five volunteers twice (test-retest) using 2D-FLAIR. Automated segmentation was performed using Lesion segmentation tool algorithms (LST): the Lesion growth algorithm (LGA) in SPM8 and 12 and the Lesion prediction algorithm (LPA). To assess reproducibility, we applied the LST longitudinal pipeline to the LGA and LPA outputs for both the test and retest scans. We evaluated volumetric and spatial accuracy comparing LGA and LPA with manual tracing, and for reproducibility the test versus retest. Median volume difference between automated WMH and manual segmentations (mL) was -0.22[IQR = 0.50] for LGA-SPM8, -0.12[0.57] for LGA-SPM12, -0.09[0.53] for LPA, while the spatial accuracy (Dice Coefficient) was 0.29[0.31], 0.33[0.26] and 0.41[0.23], respectively. The reproducibility analysis showed a median reproducibility error of 20%[IQR = 41] for LGA-SPM8, 14% [31] for LGA-SPM12 and 10% [27] with the LPA cross-sectional pipeline. Applying the LST longitudinal pipeline, the reproducibility errors were considerably reduced (LGA: 0%[IQR = 0], p < 0.001; LPA: 0% [3], p < 0.001) compared to those derived using the cross-sectional algorithms. The DC using the longitudinal pipeline was excellent (median = 1) for LGA [IQR = 0] and LPA [0.02]. LST algorithms showed moderate accuracy and good reproducibility. Therefore, it can be used as a reliable cross-sectional and longitudinal tool in multi-site studies.
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Affiliation(s)
- Federica Ribaldi
- Laboratory of Alzheimer's Neuroimaging and Alzheimer's Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy; Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland; Memory Clinic, Geneva University Hospitals, Geneva, Switzerland.
| | - Daniele Altomare
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland; Memory Clinic, Geneva University Hospitals, Geneva, Switzerland
| | - Jorge Jovicich
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
| | - Clarissa Ferrari
- Unit of Statistics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Agnese Picco
- Department of Neuroscience, Ophthalmology, Genetics and Mother-Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | | | | | - Anna Mega
- Laboratory of Alzheimer's Neuroimaging and Alzheimer's Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Antonio Ferretti
- Department of Neuroscience Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy; Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy
| | - Antonios Drevelegas
- Interbalkan Medical Center of Thessaloniki, Thessaloniki, Greece; Department of Radiology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Beatriz Bosch
- Department of Psychiatry and Clinical Psychobiology, Universitat de Barcelona and IDIBAPS, Barcelona, Spain
| | - Bernhard W Müller
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Camillo Marra
- Center for Neuropsychological Research, Catholic University, Rome, Italy
| | | | - David Bartrés-Faz
- Department of Psychiatry and Clinical Psychobiology, Universitat de Barcelona and IDIBAPS, Barcelona, Spain
| | - Flavio Nobili
- Dept. of Neuroscience (DINOGMI), University of Genoa, Italy; IRCCS Ospedale Policlinico San Martino Genova, Italy
| | - Franco Alessandrini
- Radiology, Dept. of Diagnostic and Public Health, Verona University, Verona, Italy
| | - Frederik Barkhof
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Helene Gros-Dagnac
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France; Université Toulouse 3 Paul Sabatier, UMR 825 Imagerie Cérébrale et Handicaps Neurologiques, F-31024 Toulouse, France
| | - Jean-Philippe Ranjeva
- Institut de Neurosciences de la Timone (INT), Aix-Marseille Université, CNRS, UMR 7289, 13005 Marseille, France
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg-August University, Göttingen, Germany
| | - Joost Kuijer
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, the Netherlands
| | - Julien Sein
- Institut de Neurosciences de la Timone (INT), Aix-Marseille Université, CNRS, UMR 7289, 13005 Marseille, France
| | | | - Luca Roccatagliata
- IRCCS Ospedale Policlinico San Martino Genova, Italy; Dept. of Health Sciences (DISSAL), University of Genoa, Italy
| | - Lucilla Parnetti
- Section of Neurology, Centre for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Magda Tsolaki
- 1st Department of Neurology, Aristotle University of Thessaloniki, Makedonia, Greece
| | | | | | | | - Martina Montalti
- Laboratory of Alzheimer's Neuroimaging and Alzheimer's Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Massimo Caulo
- Department of Neuroscience Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy; Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy
| | - Mira Didic
- APHM, Timone, Service de Neurologie et Neuropsychologie, APHM Hôpital Timone Adultes, Marseille, France; Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France
| | - Núria Bargallo
- Department of Neuroradiology and Magnetic Resonance Image Core Facility, Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain
| | - Olivier Blin
- Aix Marseille University, UMR-INSERM 1106, Service de Pharmacologie Clinique, AP-HM, Marseille, France
| | - Paolo M Rossini
- Dept. Neuroscience & Neurorehabilitation, IRCCS-San Raffaele-Pisana, Rome, Italy
| | - Peter Schonknecht
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| | - Piero Floridi
- Neuroradiology Unit, Perugia General Hospital, Perugia, Italy
| | - Pierre Payoux
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, France
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Régis Bordet
- Univ. Lille, INSERM, CHU Lille, Lille Neuroscience & Cognition - Degenerative and Vascular Cognitive Disorders-U1172. F-59000 Lille, France
| | - Renaud Lopes
- Univ. Lille, INSERM, CHU Lille, Lille Neuroscience & Cognition - Degenerative and Vascular Cognitive Disorders-U1172. F-59000 Lille, France
| | | | - Stephanie Bombois
- Univ. Lille, INSERM, CHU Lille, Lille Neuroscience & Cognition - Degenerative and Vascular Cognitive Disorders-U1172. F-59000 Lille, France
| | - Tilman Hensch
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| | - Ute Fiedler
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Jill C Richardson
- Neurosciences Therapeutic Area, GlaxoSmithKline R&D, Gunnels Wood Road, Stevenage, United Kingdom
| | - Giovanni B Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland; Memory Clinic, Geneva University Hospitals, Geneva, Switzerland
| | - Moira Marizzoni
- Laboratory of Alzheimer's Neuroimaging and Alzheimer's Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
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Chiappiniello A, Iacco M, Rongoni A, Susta F, Sabatini P, Beneventi S, Tarducci R. Assessment of radionuclide impurities in [ 18F]fluoromethylcholine ([ 18F]FMCH). Phys Med 2020; 78:150-155. [PMID: 33035926 DOI: 10.1016/j.ejmp.2020.09.025] [Citation(s) in RCA: 2] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 08/07/2020] [Accepted: 09/29/2020] [Indexed: 12/01/2022] Open
Abstract
PURPOSE [18F]Fluoromethylcholine ([18F]FMCH) is a radiopharmaceutical used in positron emission tomography (PET) imaging for the study of prostate, breast, and brain tumors. It is usually synthesized in cyclotron facilities where 18F is produced by proton irradiation of [18O]H2O through 18O(p,n)18F reaction. Due to the activation of target materials, the bombardment causes unwanted radionuclidic impurities in [18O]H2O, that need to be removed during the radiopharmaceutical synthesis. Thus, the aim of this study is to quantify the radionuclide impurities in the 18F production process and in the synthesized [18F]FMCH, demonstrating the radionuclidic purity of this radiopharmaceutical. METHODS Long-lived radionuclide impurities were experimentally assessed using high-resolution gamma and liquid scintillation spectrometries, while short-lived impurities were monitored analyzing the decay curve of the irradiated [18O]H2O with an activity calibrator. As spectrometric radionuclide library, a Geant4 Monte Carlo simulation of the 18F-target assembly was previously performed. RESULTS 3H, 52,54Mn, 56,57,58Co, 95m,96Tc, 109Cd, and 184Re were found in the irradiated [18O]H2O, but no radionuclide was found in the non-irradiated [18O]H2O neither in the final [18F]FMCH solution with an activity concentration greater than the minimum detectable activity concentration. A total impurity activity <6.2 kBq was measured in the irradiated [18O]H2O, whereas a [18F]FMCH radionuclide purity >99.9999998% was estimated. Finally, the decay curve of the irradiated [18O]H2O revealed a very low maximum of 13N activity (<0.03% of 18F) even immediately after the end of bombardment. CONCLUSIONS This study demonstrated the radionuclidic purity of [18F]FMCH according to the EU Pharmacopeia.
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Affiliation(s)
- Andrea Chiappiniello
- Medical Physics Department, Perugia General Hospital, Perugia, Italy; Physics Department, University of Turin, Turin, Italy.
| | - Martina Iacco
- Medical Physics Unit, Azienda Usl Toscana sud est, San Donato Hospital, Arezzo, Italy
| | - Alba Rongoni
- Medical Physics Department, Perugia General Hospital, Perugia, Italy; Department of Surgical and Biomedical Science - Radiation Oncology Section, University of Perugia, Italy
| | - Federica Susta
- Medical Physics Department, Perugia General Hospital, Perugia, Italy
| | - Paola Sabatini
- Ionizing Radiation Service, Regional Agency for the Environmental Protection of Umbria, Perugia, Italy
| | - Sara Beneventi
- Medical Physics Department, Perugia General Hospital, Perugia, Italy
| | - Roberto Tarducci
- Medical Physics Department, Perugia General Hospital, Perugia, Italy
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9
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Nigro P, Chiappiniello A, Simoni S, Paolini Paoletti F, Cappelletti G, Chiarini P, Filidei M, Eusebi P, Guercini G, Santangelo V, Tarducci R, Calabresi P, Parnetti L, Tambasco N. Changes of olfactory tract in Parkinson's disease: a DTI tractography study. Neuroradiology 2020; 63:235-242. [PMID: 32918150 DOI: 10.1007/s00234-020-02551-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 09/07/2020] [Indexed: 12/14/2022]
Abstract
PURPOSE Impaired olfactory function is one of the main features of Parkinson's disease. However, how peripheral olfactory structures are involved remains unclear. Using diffusion tensor imaging fiber tracking, we investigated for MRI microstructural changes in the parkinsonian peripheral olfactory system and particularly the olfactory tract, in order to seek a better understanding of the structural alternations underlying hyposmia in Parkinson's disease. METHODS All patients were assessed utilizing by the Italian Olfactory Identification Test for olfactory function and the Unified Parkinson's Disease Rating Scale-III part as well as Hoehn and Yahr rating scale for motor disability. Imaging was performed on a 3 T Clinical MR scanner. MRI data pre-processing was carried out by DTIPrep, diffusion tensor imaging reconstruction, and fiber tracking using Diffusion Toolkit and tractography analysis by TrackVis. The following parameters were used for groupwise comparison: fractional anisotropy, mean diffusivity, radial diffusivity, axial diffusivity, and tract volume. RESULTS Overall 23 patients with Parkinson's disease (mean age 63.6 ± 9.3 years, UPDRS-III 24.5 ± 12.3, H&Y 1.9 ± 0.5) and 18 controls (mean age 56.3 ± 13.7 years) were recruited. All patients had been diagnosed hyposmic. Diffusion tensor imaging analysis of the olfactory tract showed significant fractional anisotropy, and tract volume decreases for the Parkinson's disease group compared with controls (P < 0.05). Fractional anisotropy and age, in the control group, were significant for multiple correlations (r = - 0.36, P < 0.05, Spearman's rank correlation). CONCLUSIONS Fiber tracking diffusion tensor imaging analysis of olfactory tract was feasible, and it could be helpful for characterizing hyposmia in Parkinson's disease.
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Affiliation(s)
- Pasquale Nigro
- Movement Disorders Center, Neurology Department, Perugia General Hospital and University of Perugia, S. Maria della Misericordia Hospital, Perugia, Italy
| | | | - Simone Simoni
- Movement Disorders Center, Neurology Department, Perugia General Hospital and University of Perugia, S. Maria della Misericordia Hospital, Perugia, Italy
| | - Federico Paolini Paoletti
- Movement Disorders Center, Neurology Department, Perugia General Hospital and University of Perugia, S. Maria della Misericordia Hospital, Perugia, Italy
| | - Giulia Cappelletti
- Movement Disorders Center, Neurology Department, Perugia General Hospital and University of Perugia, S. Maria della Misericordia Hospital, Perugia, Italy
| | - Pietro Chiarini
- Neuroradiology Unit, Perugia General Hospital, Perugia, Italy
| | - Marta Filidei
- Movement Disorders Center, Neurology Department, Perugia General Hospital and University of Perugia, S. Maria della Misericordia Hospital, Perugia, Italy
| | - Paolo Eusebi
- Neurology Department, Perugia General Hospital and University of Perugia, Perugia, Italy
| | | | - Valerio Santangelo
- Department of Philosophy, Social Sciences & Education, University of Perugia, Perugia, Italy.,Neuroimaging Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Roberto Tarducci
- Department of Medical Physics, Perugia General Hospital, Perugia, Italy
| | - Paolo Calabresi
- Neurologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.,Dipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Lucilla Parnetti
- Neurology Department, Perugia General Hospital and University of Perugia, Perugia, Italy
| | - Nicola Tambasco
- Movement Disorders Center, Neurology Department, Perugia General Hospital and University of Perugia, S. Maria della Misericordia Hospital, Perugia, Italy. .,Neurology Department, Perugia General Hospital and University of Perugia, Perugia, Italy.
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10
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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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Marcantonini M, Chiappiniello A, Beneventi S, Reggioli V, Dipilato AC, Fulcheri CPL, Iacco M, Zucchetti C, Tarducci R. Evaluation of equivalent dose to eye lens through dose equivalent Hp(3). Phys Med 2019; 64:29-32. [PMID: 31515031 DOI: 10.1016/j.ejmp.2019.04.030] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Revised: 04/15/2019] [Accepted: 04/30/2019] [Indexed: 11/15/2022] Open
Abstract
PURPOSE Individual dosimetry allows to quantify doses from ionizing radiation of exposed workers. Scientific and epidemiological evidences highlight the need for adequate measures for a greater protection of the eye and a reduction in annual doses. ICRP Publication 103, illustrating the operational dose quantity Hp(d) for the individual monitoring, proposes a depth d = 3 mm for eye lens monitoring, indicating that even the Hp(0.07) can be used. In this study, it was investigated if there are differences in the evaluation of the equivalent dose to eye lens (Hlens) using Hp(3) or Hp(0.07). MATERIALS AND METHODS A slab phantom calibration was performed by an Accredited Calibration Laboratory in terms of Hp(3) and Hp(0.07) using ext-rad TLD-100 (LiF:Mg,Ti) dosimeters. Hp(0.07) and Hp(3) were measured for 26 exposed workers to assess Hlens. The measuring took place monthly in 2017 to obtain both semestral and annual doses. RESULTS Hlens(0.07) was always smaller than Hlens(3). However, the differences were not statistically significant (Mann-Whitney test, p > 0.05) for both semestral and annual doses. The percentage differences were 7 ± 3%, 6 ± 3% and 7 ± 2% for I semester, II semester and whole year, respectively. The mean underestimation index <10%, intra-class correlation coefficient >0.99, coefficient of variation <3% and the excellent correlation (R2 ≈ 0.999) for both semestral and annual doses highlighted that Hp(0.07) can be used to evaluate Hlens instead of Hp(3). CONCLUSIONS No statistical evidence was found that the use of Hp(0.07) underestimates the equivalent dose to eye lens obtained through Hp(3).
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Affiliation(s)
| | | | - Sara Beneventi
- Medical Physics Department, Perugia General Hospital, Perugia, Italy
| | | | - Anna C Dipilato
- Surgical and Biomedical Sciences Department, University of Perugia, Perugia, Italy
| | | | - Martina Iacco
- Medical Physics Department, Perugia General Hospital, Perugia, Italy
| | - Claudio Zucchetti
- Medical Physics Department, Perugia General Hospital, Perugia, Italy
| | - Roberto Tarducci
- Medical Physics Department, Perugia General Hospital, Perugia, Italy
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12
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Boccardi V, Westman E, Pelini L, Lindberg O, Muehlboeck JS, Simmons A, Tarducci R, Floridi P, Chiarini P, Soininen H, Kloszewska I, Tsolaki M, Vellas B, Spenger C, Wahlund LO, Lovestone S, Mecocci P. Differential Associations of IL-4 With Hippocampal Subfields in Mild Cognitive Impairment and Alzheimer's Disease. Front Aging Neurosci 2019; 10:439. [PMID: 30705627 PMCID: PMC6344381 DOI: 10.3389/fnagi.2018.00439] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 12/24/2018] [Indexed: 12/26/2022] Open
Abstract
Background/Aims: We aimed to assess the association between in volumetric measures of hippocampal sub-regions - in healthy older controls (HC), subjects with mild cognitive impairment (MCI) and AD- with circulating levels of IL-4. Methods: From AddNeuroMed Project 113 HC, 101 stable MCI (sMCI), 22 converter MCI (cMCI) and 119 AD were included. Hippocampal subfield volumes were analyzed using Freesurfer 6.0.0 on high-resolution sagittal 3D-T1W MP-RAGE acquisitions. Plasmatic IL-4 was measured using ELISA assay. Results: IL-4 was found to be (a) positively associate with left subiculum volume (β = 0.226, p = 0.037) in sMCI and (b) negatively associate with left subiculum volume (β = -0.253, p = 0.011) and left presubiculum volume (β = -0.257, p = 0.011) in AD. Conclusion: Our results indicate a potential neuroprotective effect of IL-4 on the areas of the hippocampus more vulnerable to aging and neurodegeneration.
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Affiliation(s)
- Virginia Boccardi
- Department of Medicine, Institute of Gerontology and Geriatrics, University of Perugia, Perugia, Italy
| | - Eric Westman
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Luca Pelini
- Department of Medicine, Institute of Gerontology and Geriatrics, University of Perugia, Perugia, Italy
| | - Olof Lindberg
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - J-Sebastian Muehlboeck
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Andrew Simmons
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Roberto Tarducci
- Division of Medical Physics, Perugia University Hospital, Perugia, Italy
| | - Piero Floridi
- Division of Neuroradiology, Perugia University Hospital, Perugia, Italy
| | - Pietro Chiarini
- Division of Neuroradiology, Perugia University Hospital, Perugia, Italy
| | - Hilkka Soininen
- Department of Neurology, University of Eastern Finland - Kuopio University Hospital, Kuopio, Finland
| | - Iwona Kloszewska
- Department of Old Age Psychiatry and Psychotic Disorders, Medical University of Łódź, Łódź, Poland
| | - Magda Tsolaki
- 3rd Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Bruno Vellas
- University of Toulouse, INSERM 1027, Gérontopôle, Toulouse, France
| | - Christian Spenger
- Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
| | - Lars-Olof Wahlund
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Simon Lovestone
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, United Kingdom
| | - Patrizia Mecocci
- Department of Medicine, Institute of Gerontology and Geriatrics, University of Perugia, Perugia, Italy
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Coniglio A, Fedeli L, Belli G, Ciccarone A, Esposito M, Giannelli M, Gobbi G, Gori C, Mazzoni L, Nocetti L, Sghedoni R, Tarducci R, Altabella L, Belligotti E, Benelli M, Betti M, Caivano R, Carnì M, Chiappiniello A, Cimolai S, Cretti F, Fulcheri C, Gasperi C, Giacometti M, Levrero F, Lizio D, Luchinat C, Maieron M, Marzi S, Mascaro L, Mazzocchi S, Meliadò G, Morzenti S, Noferini L, Oberhofer N, Quattrocchi M, Ricci A, Taddeucci A, Tenori L, Torresin A, Busoni S. 20. Diffusion MRI and ADC accuracy at the isocenter: An AIFM multisite comparison study. Phys Med 2018. [DOI: 10.1016/j.ejmp.2018.04.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Chiappiniello A, Tarducci R, Muscio C, Frisoni G, Bruzzone M, Bozzali M, Perani D, Tiraboschi P, Nigri A, Ambrosi C, Caulo M, Chipi E, Chiti S, Fainardi E, Ferraro S, Festari C, Gasparotti R, Ginestroni A, Giulietti G, Mascaro L, Navarra R, Nicolosi V, Parnetti L, Rosazza C, Serra L, Tagliavini F, Jovicich J. 22. Multicentric test-retest reproducibility of human hippocampal volumes with FreeSurfer 6.0: A comparison between standard and longitudinal hippocampal subfields segmentation streams applied to 3D T1, 3D FLAIR and high-resolution 2D T2 neuroimaging. Phys Med 2018. [DOI: 10.1016/j.ejmp.2018.04.032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Fedeli L, Belli G, Ciccarone A, Coniglio A, Esposito M, Giannelli M, Gobbi G, Gori C, Mazzoni L, Nocetti L, Sghedoni R, Tarducci R, Altabella L, Belligotti E, Benelli M, Betti M, Caivano R, Carnì M, Chiappiniello A, Cimolai S, Cretti F, Fulcheri C, Gasperi C, Giacometti M, Levrero F, Lizio D, Luchinat C, Maieron M, Marzi S, Mascaro L, Mazzocchi S, Meliadò G, Morzenti S, Noferini L, Oberhofer N, Quattrocchi M, Ricci A, Taddeucci A, Tenori L, Torresin A, Busoni S. 21 Phase encoding direction and position effects on ADC in diffusion MRI: An AFIM multisite comparison study. Phys Med 2018. [DOI: 10.1016/j.ejmp.2018.04.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Marcantonini M, Pascolini F, Bernardini A, Brughini A, Cavalli A, Tarducci R. 96. Evaluation of the equivalent dose to the crystalline lens by dose equivalent Hp(3). Phys Med 2018. [DOI: 10.1016/j.ejmp.2018.04.106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Iacco M, Zucchetti C, Dipilato A, Lupattelli M, Podlesko A, Fulcheri C, Marcantonini M, Reggioli V, Aristei C, Tarducci R. 179. Whole brain radiotherapy with hippocampal sparing and Simultaneous Integrated Boost for patients with one to four metastases with Helical Tomotherapy. Phys Med 2018. [DOI: 10.1016/j.ejmp.2018.04.190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Iacco M, Zucchetti C, Lupattelli M, Aristei C, Tarducci R. 182. Study of the accuracy of non-invasive fixation frames in brain treatments with Helical Tomotherapy. Phys Med 2018. [DOI: 10.1016/j.ejmp.2018.04.193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Chiesa S, Bartoli FB, Longo S, Lupattelli M, Gatta R, Palumbo I, Balducci M, Tarducci R, Cusumano D, Masciocchi C, Lenkowicz J, Russo R, Floridi P, Dinapoli N, Valentini V, Aristei C. Delta Radiomics Features Analysis for the Prediction of Patients Outcomes in Glioblastoma Multiforme: The Generating Hypothesis Phase of GLI.F.A. Project. Int J Radiat Oncol Biol Phys 2018. [DOI: 10.1016/j.ijrobp.2018.07.128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Fedeli L, Belli G, Ciccarone A, Coniglio A, Esposito M, Giannelli M, Mazzoni LN, Nocetti L, Sghedoni R, Tarducci R, Altabella L, Belligotti E, Benelli M, Betti M, Caivano R, Carni' M, Chiappiniello A, Cimolai S, Cretti F, Fulcheri C, Gasperi C, Giacometti M, Levrero F, Lizio D, Maieron M, Marzi S, Mascaro L, Mazzocchi S, Meliado' G, Morzenti S, Noferini L, Oberhofer N, Quattrocchi MG, Ricci A, Taddeucci A, Tenori L, Luchinat C, Gobbi G, Gori C, Busoni S. Dependence of apparent diffusion coefficient measurement on diffusion gradient direction and spatial position - A quality assurance intercomparison study of forty-four scanners for quantitative diffusion-weighted imaging. Phys Med 2018; 55:135-141. [PMID: 30342982 DOI: 10.1016/j.ejmp.2018.09.007] [Citation(s) in RCA: 30] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Revised: 09/09/2018] [Accepted: 09/18/2018] [Indexed: 12/15/2022] Open
Abstract
PURPOSE To propose an MRI quality assurance procedure that can be used for routine controls and multi-centre comparison of different MR-scanners for quantitative diffusion-weighted imaging (DWI). MATERIALS AND METHODS 44 MR-scanners with different field strengths (1 T, 1.5 T and 3 T) were included in the study. DWI acquisitions (b-value range 0-1000 s/mm2), with three different orthogonal diffusion gradient directions, were performed for each MR-scanner. All DWI acquisitions were performed by using a standard spherical plastic doped water phantom. Phantom solution ADC value and its dependence with temperature was measured using a DOSY sequence on a 600 MHz NMR spectrometer. Apparent diffusion coefficient (ADC) along each diffusion gradient direction and mean ADC were estimated, both at magnet isocentre and in six different position 50 mm away from isocentre, along positive and negative AP, RL and HF directions. RESULTS A good agreement was found between the nominal and measured mean ADC at isocentre: more than 90% of mean ADC measurements were within 5% from the nominal value, and the highest deviation was 11.3%. Away from isocentre, the effect of the diffusion gradient direction on ADC estimation was larger than 5% in 47% of included scanners and a spatial non uniformity larger than 5% was reported in 13% of centres. CONCLUSION ADC accuracy and spatial uniformity can vary appreciably depending on MR scanner model, sequence implementation (i.e. gradient diffusion direction) and hardware characteristics. The DWI quality assurance protocol proposed in this study can be employed in order to assess the accuracy and spatial uniformity of estimated ADC values, in single- as well as multi-centre studies.
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Affiliation(s)
- Luca Fedeli
- Università degli Studi di Firenze, Firenze, Italy.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Marta Maieron
- A.S.U.I. Udine S. Maria della Misericordia, Udine, Italy
| | | | | | | | | | | | | | | | | | | | | | - Leonardo Tenori
- Magnetic Resonance Center (CERM), Università degli Studi di Firenze, Firenze, Italy
| | - Claudio Luchinat
- Magnetic Resonance Center (CERM), Università degli Studi di Firenze, Firenze, Italy
| | | | - Cesare Gori
- Università degli Studi di Firenze, Firenze, Italy
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Sghedoni R, Coniglio A, Mazzoni LN, Busoni S, Belli G, Tarducci R, Nocetti L, Fedeli L, Esposito M, Ciccarone A, Altabella L, Bellini A, Binotto L, Caivano R, Carnì M, Ricci A, Cimolai S, D'Urso D, Gasperi C, Levrero F, Mangili P, Morzenti S, Nitrosi A, Oberhofer N, Parruccini N, Toncelli A, Valastro LM, Gori C, Gobbi G, Giannelli M. A straightforward multiparametric quality control protocol for proton magnetic resonance spectroscopy: Validation and comparison of various 1.5 T and 3 T clinical scanner systems. Phys Med 2018; 54:49-55. [PMID: 30337010 DOI: 10.1016/j.ejmp.2018.08.013] [Citation(s) in RCA: 4] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Revised: 07/25/2018] [Accepted: 08/13/2018] [Indexed: 02/08/2023] Open
Abstract
PURPOSE The aim of this study was to propose and validate across various clinical scanner systems a straightforward multiparametric quality assurance procedure for proton magnetic resonance spectroscopy (MRS). METHODS Eighteen clinical 1.5 T and 3 T scanner systems for MRS, from 16 centres and 3 different manufacturers, were enrolled in the study. A standard spherical water phantom was employed by all centres. The acquisition protocol included 3 sets of single (isotropic) voxel (size 20 mm) PRESS acquisitions with unsuppressed water signal and acquisition voxel position at isocenter as well as off-center, repeated 4/5 times within approximately 2 months. Water peak linewidth (LW) and area under the water peak (AP) were estimated. RESULTS LW values [mean (standard deviation)] were 1.4 (1.0) Hz and 0.8 (0.3) Hz for 3 T and 1.5 T scanners, respectively. The mean (standard deviation) (across all scanners) coefficient of variation of LW and AP for different spatial positions of acquisition voxel were 43% (20%) and 11% (11%), respectively. The mean (standard deviation) phantom T2values were 1145 (50) ms and 1010 (95) ms for 1.5 T and 3 T scanners, respectively. The mean (standard deviation) (across all scanners) coefficients of variation for repeated measurements of LW, AP and T2 were 25% (20%), 10% (14%) and 5% (2%), respectively. CONCLUSIONS We proposed a straightforward multiparametric and not time consuming quality control protocol for MRS, which can be included in routine and periodic quality assurance procedures. The protocol has been validated and proven to be feasible in a multicentre comparison study of a fairly large number of clinical 1.5 T and 3 T scanner systems.
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Affiliation(s)
| | - Angela Coniglio
- Medical Physics Unit, Ospedale San Giovanni Calibita Fatebenefratelli, Roma, Italy.
| | | | | | | | - Roberto Tarducci
- Health Physics Unit, Azienda Ospedaliera di Perugia, Perugia, Italy
| | - Luca Nocetti
- Health Physics Unit, Azienda Ospedaliera di Modena, Modena, Italy
| | - Luca Fedeli
- Physics and Astronomy Department, University of Florence, Firenze, Italy
| | - Marco Esposito
- Health Physics Unit, Azienda USL Toscana Centro, Firenze, Italy
| | | | | | | | - Luca Binotto
- Medical Physics Unit, Azienda ULSS 3 Serenissima, Mestre, Italy
| | - Rocchina Caivano
- Radiotherapy and Health Physics Unit, IRCCS CROB, Rionero in Vulture - Potenza, Italy
| | - Marco Carnì
- Health Physics Unit, Policlinico Umberto I, Roma, Italy
| | | | - Sara Cimolai
- Health Physics Unit, Azienda ULSS 2 Marca Trevigiana, Treviso, Italy
| | - Davide D'Urso
- Health Physics Unit, Azienda ULSS 2 Marca Trevigiana, Treviso, Italy
| | - Chiara Gasperi
- Health Physics Unit, Azienda USL Toscana Sud Est, Arezzo, Italy
| | - Fabrizio Levrero
- Medical and Health Physics Unit, IRCCS AOU San Martino, Genova, Italy
| | - Paola Mangili
- Medical Physics Unit, IRCCS San Raffaele, Milano, Italy
| | | | - Andrea Nitrosi
- Medical Physics Unit, Arcispedale Santa Maria Nuova - IRCCS, Reggio Emilia, Italy
| | - Nadia Oberhofer
- Health Physics, Azienda Sanitaria della Provincia Autonoma di Bolzano, Bolzano, Italy
| | | | | | | | - Cesare Gori
- Health Physics Unit, AOU Careggi, Firenze, Italy
| | - Gianni Gobbi
- Health Physics Unit, Azienda Ospedaliera di Perugia, Perugia, Italy
| | - Marco Giannelli
- Unit of Medical Physics, Pisa University Hospital "Azienda Ospedaliero-Universitaria Pisana", Pisa, Italy
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Lupattelli M, Chiesa S, Beghella Bartoli F, Palumbo I, Gatta R, Tarducci R, Dinapoli N, Balducci M, Aristei C, Valentini V. P04.90 Observational prospective multi-centric study of delta radiomics Features Analysis for the prediction of patients outcomes in GLIoblastoma multifome: GLI.F.A. Project. Neuro Oncol 2018. [DOI: 10.1093/neuonc/noy139.324] [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: 11/13/2022] Open
Affiliation(s)
- M Lupattelli
- Sezione di Radioterapia Oncologica, Dipartimento di Chirurgia e Scienze Biomedicali, Università di Perugia, Ospedale S. Maria della Misericordia, Perugia, Italy
| | - S Chiesa
- Fondazione Policlinico A. Gemelli IRCSS - Università Cattolica del Sacro Cuore, Dipartimento Scienze Radiologiche, Radioterapiche ed Ematologiche, Istituto di Radiologia, Rome, Italy
| | - F Beghella Bartoli
- Fondazione Policlinico A. Gemelli IRCSS - Università Cattolica del Sacro Cuore, Dipartimento Scienze Radiologiche, Radioterapiche ed Ematologiche, Istituto di Radiologia, Rome, Italy
| | - I Palumbo
- Sezione di Radioterapia Oncologica, Dipartimento di Chirurgia e Scienze Biomedicali, Università di Perugia, Ospedale S. Maria della Misericordia, Perugia, Italy
| | - R Gatta
- Fondazione Policlinico A. Gemelli IRCSS - Università Cattolica del Sacro Cuore, Dipartimento Scienze Radiologiche, Radioterapiche ed Ematologiche, Istituto di Radiologia, Rome, Italy
| | - R Tarducci
- Sezione di Radioterapia Oncologica, Dipartimento di Chirurgia e Scienze Biomedicali, Università di Perugia, Ospedale S. Maria della Misericordia, Perugia, Italy
| | - N Dinapoli
- Fondazione Policlinico A. Gemelli IRCCS, Dipartimento Scienze Radiologiche, Radioterapiche ed Ematologiche, Istituto di Radiologia, Roma, Italia, Rome, Italy
| | - M Balducci
- Fondazione Policlinico A. Gemelli IRCSS - Università Cattolica del Sacro Cuore, Dipartimento Scienze Radiologiche, Radioterapiche ed Ematologiche, Istituto di Radiologia, Rome, Italy
| | - C Aristei
- Sezione di Radioterapia Oncologica, Dipartimento di Chirurgia e Scienze Biomedicali, Università di Perugia, Ospedale S. Maria della Misericordia, Perugia, Italy
| | - V Valentini
- Fondazione Policlinico A. Gemelli IRCSS - Università Cattolica del Sacro Cuore, Dipartimento Scienze Radiologiche, Radioterapiche ed Ematologiche, Istituto di Radiologia, Rome, Italy
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Lupattelli M, Maranzano E, Bellavita R, Tarducci R, Latini R, Castagnoli P, Bufalari A, Corgna E, Pinaglia D, Rossetti R, Ribacchi R, Latini P. Adjuvant Radiochemotherapy in High-Risk Rectal Cancer Results of a Prospective Non-Randomized Study. Tumori 2018; 87:239-47. [PMID: 11693802 DOI: 10.1177/030089160108700406] [Citation(s) in RCA: 9] [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] [Indexed: 11/15/2022]
Abstract
Aims and Background In 1990 the National Institutes of Health Consensus Conference recommended adjuvant combined therapy for patients with radically resected rectal cancer at high risk for relapse (ie, stage II-III). The purpose of our prospective non-randomized study was to verify the feasibility and effectiveness of postoperative radiochemotherapy in terms of improvement in disease-free and overall survival in this patient subgroup. Study design From January 1990 to October 1998, 191 consecutive patients with radically resected stage II-III rectal cancer were treated. A total of 159 patients with a 24-month follow-up were assessable for toxicity and survival. Anterior resection was performed in 129 (81%) and abdomino-perineal resection in 30 (19%) patients. Fifty-four (34%) stage II and 105 (66%) stage III patients entered the study. Within 45-60 days of surgery, all patients received 5-fluorouracil chemotherapy at the dose of 500 mg/m2 as an iv bolus on days 1-5, every 4 weeks, for 6 cycles. Chemotherapy cycles III and IV were administered at the same daily dose on radiotherapy days 1-3 and 29-31. Radiotherapy consisted of 45 Gy/25 fractions plus a boost dose of 5.4 Gy. Results After a median follow-up of 57 months (range, 25-123), overall recurrent disease was reported in 58 (36%) patients: local, systemic, and both local and systemic relapses in 12 (8%), 37 (23%) and 9 (6%) cases, respectively. According to local extension, recurrence rates were 15% and 48% in stage II and III, respectively. Five-year overall and disease-free survival were 71% and 66%, respectively. Overall survival was 87% in stage II and 62% in stage III patients, and disease-free survival was 84% and 56% in stage II and III disease, respectively. According to univariate and multivariate analyses, significant prognostic factors for better tumor control were: stage (II vs III, P <0.001), the number of involved nodes (≤3 vs >3, P <0.0001), and no extracapsular node invasion (P <0.0001). The recommended dose of the combined radiochemotherapy regimen was generally well tolerated. The incidence of any ≥ grade 3 acute toxicity (according to the WHO scale) was 13% diarrhea, 11% proctitis, 5% perineal dermatitis and 4% myelosuppression. Four (3%) patients had radiotherapy-related severe late toxicity which required surgery. Conclusions The study provided recurrence rates and survival similar to other adjuvant radiochemotherapy regimens published in the literature. However, in view of the low 5-year survival rate recorded in stage III patients, a different approach should be investigated.
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Affiliation(s)
- M Lupattelli
- Radiation Oncology Center, Policlinico Hospital of Perugia, Italy
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Iacco M, Saldi S, Zucchetti C, Dipilato A, Lancellotta V, Aristei C, Tarducci R. EP-1961: Classical Kaposi’s sarcoma treatment with helical tomotherapy: impact of polyurethane foam cushion. Radiother Oncol 2018. [DOI: 10.1016/s0167-8140(18)32270-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Lupattelli M, Mascioni F, Bellavita R, Draghini L, Tarducci R, Castagnoli P, Russo G, Aristei C. Long-term Anorectal Function after Postoperative Chemoradiotherapy in High-Risk Rectal Cancer Patients. Tumori 2018; 96:34-41. [DOI: 10.1177/030089161009600106] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Aims and background After sphincter-preserving surgery for rectal cancer and postoperative radiochemotherapy, many patients have unsatisfactory anorectal functional results which are not considered by the most common toxicity scales. The aim of the present study was to retrospectively assess the long-term incidence of impaired anorectal function in rectal cancer patients who underwent anterior resection and postoperative radiochemotherapy. Methods Ninety-nine patients who underwent sphincter-saving surgery and postoperative radiochemotherapy for stage II-III rectal cancer from July 1991 to January 2002 were given a questionnaire on anorectal function. Postoperative incontinence was evaluated according to a scale proposed by Jorge and Wexner. Factors influencing anorectal function were examined. Results The median follow-up from surgery was 10 years. Ten (10.1%) patients reported ≥ 5 bowel movements per day and 26 (26.3%) experienced clustering. The median frequency of bowel movements per 24 h was 2 (range, 1–10). Stool fragmentation was recorded in 56 (56.6%) cases, and 36 (36.4%) patients experienced urgency to defecate with inability to delay defecation for more than 15 min. The mean continence score was 4.91 (median 1, range 0–18). Incontinence to flatus, liquid and solid stools was reported at least once a week in 24 (24.2%), 11 (11.1%) and 5 (5.1%) patients, respectively. According to the study criteria, 61% of patients had good functional results. None of the variables analyzed showed a significant correlation with functional outcome. Conclusions Although retrospective, the present study included a large selected series that had undergone uniform adjuvant treatment and was followed for a median of 10 years. Our data demonstrated that 39% of patients did not have good functional results and suffered some degree of urgency, increased frequency and occasional incontinence even many years after the surgery. Anorectal function assessment should enter routinely in clinical practice and should have importance in the therapeutic decisions.
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Affiliation(s)
- Marco Lupattelli
- Radiation Oncology Centre, University and Hospital of Perugia, Perugia, Italy
| | - Francesca Mascioni
- Radiation Oncology Centre, University and Hospital of Perugia, Perugia, Italy
| | - Rita Bellavita
- Radiation Oncology Centre, University and Hospital of Perugia, Perugia, Italy
| | - Lorena Draghini
- Radiation Oncology Centre, University and Hospital of Perugia, Perugia, Italy
| | - Roberto Tarducci
- Medical Physics, University and Hospital of Perugia, Perugia, Italy
| | - Paolo Castagnoli
- Surgery Division, University and Hospital of Perugia, Perugia, Italy
| | - Giuseppe Russo
- Department of Gastroenterology, University and Hospital of Perugia, Perugia, Italy
| | - Cynthia Aristei
- Radiation Oncology Centre, University and Hospital of Perugia, Perugia, Italy
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Iacco M, Zucchetti C, Lupattelli M, Aristei C, Fulcheri C, Tarducci R. EP-1578: Frameless intracranial radiosurgery with Helical Tomotherapy: preliminary results. Radiother Oncol 2017. [DOI: 10.1016/s0167-8140(17)32013-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Iacco M, Zucchetti C, Lupattelli M, Dipilato A, Aristei C, Tarducci R. EP-1636: Evaluation of the accuracy in frame-less image-guided radiotherapy and radiosurgery. Radiother Oncol 2017. [DOI: 10.1016/s0167-8140(17)32071-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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van Waalwijk van Doorn LJ, Gispert JD, Kuiperij HB, Claassen JA, Arighi A, Baldeiras I, Blennow K, Bozzali M, Castelo-Branco M, Cavedo E, Emek-Savaş DD, Eren E, Eusebi P, Farotti L, Fenoglio C, Ormaechea JF, Freund-Levi Y, Frisoni GB, Galimberti D, Genc S, Greco V, Hampel H, Herukka SK, Liu Y, Lladó A, Lleó A, Nobili FM, Oguz KK, Parnetti L, Pereira J, Picco A, Pikkarainen M, de Oliveira CR, Saka E, Salvadori N, Sanchez-Valle R, Santana I, Scarpini E, Scheltens P, Soininen H, Tarducci R, Teunissen C, Tsolaki M, Urbani A, Vilaplana E, Visser PJ, Wallin AK, Yener G, Molinuevo JL, Meulenbroek O, Verbeek MM. Improved Cerebrospinal Fluid-Based Discrimination between Alzheimer’s Disease Patients and Controls after Correction for Ventricular Volumes. J Alzheimers Dis 2017; 56:543-555. [DOI: 10.3233/jad-160668] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Linda J.C. van Waalwijk van Doorn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Juan D. Gispert
- Barcelona Beta Brain Research Centre, Pasqual Maragall Foundation, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Zaragoza, Spain
- Pompeu Fabra University, Barcelona, Spain
| | - H. Bea Kuiperij
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jurgen A.H.R. Claassen
- Department of Geriatrics, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Andrea Arighi
- University of Milan, Fondazione Ca’ Granda, IRCCS Ospedale Policlinico, Milan, Italy
| | - Inês Baldeiras
- Center for Neuroscience and Cell Biology (CNC.IBILI), Faculty of Medicine, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Marco Bozzali
- Neuroimaging Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Miguel Castelo-Branco
- Institute for Biomedical Imaging and Life Sciences (CNC.IBILI) and ICNAS (Institute for Nuclear Sciences Applied to Health), University of Coimbra, Portugal
| | - Enrica Cavedo
- AXA Research Fund and UPMC Chair, Sorbonne Universités, Université Pierre et Marie Curie (UPMC) Paris 06, Inserm, CNRS, Institut du cerveau et de la moelle (ICM), Département de Neurologie, Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Hôpital Pitié-Salpêtrière, Boulevard de l’hôpital, F-75013, Paris, France
| | - Derya D. Emek-Savaş
- Department of Psychology, The Faculty of Arts, Department of Neurosciences, The Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
| | - Erden Eren
- Izmir Biomedicine and Genome Institute, Department of Neurosciences, The Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
| | - Paolo Eusebi
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Lucia Farotti
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Chiara Fenoglio
- University of Milan, Fondazione Ca’ Granda, IRCCS Ospedale Policlinico, Milan, Italy
| | | | - Yvonne Freund-Levi
- Department of Neurobiology, Caring Sciences and Society (NVS), Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden
- Department of Geriatric Medicine, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Giovanni B. Frisoni
- Laboratory of Epidemiology, Neuroimaging and Telemedicine, IRCCS San Giovanni di Dio Fatebenefratelli, Brescia, Italy
- University Hospitals and University of Geneva, Geneva, Switzerland
| | - Daniela Galimberti
- University of Milan, Fondazione Ca’ Granda, IRCCS Ospedale Policlinico, Milan, Italy
| | - Sermin Genc
- Izmir Biomedicine and Genome Institute, Department of Neurosciences, The Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
| | - Viviana Greco
- Proteomics and Metabolomics Unit, IRCCS-Fondazione Santa Lucia, Rome, Italy
| | - Harald Hampel
- AXA Research Fund and UPMC Chair, Sorbonne Universités, Université Pierre et Marie Curie (UPMC) Paris 06, Inserm, CNRS, Institut du cerveau et de la moelle (ICM), Département de Neurologie, Institut de la Mémoire et de la Maladie d’Alzheimer (IM2A), Hôpital Pitié-Salpêtrière, Boulevard de l’hôpital, F-75013, Paris, France
| | - Sanna-Kaisa Herukka
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Yawu Liu
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Albert Lladó
- Alzheimer’s disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, IDIBAPS, Barcelona, Spain
| | - Alberto Lleó
- Neurology Department, Hospital de Sant Pau, Barcelona, Spain
| | - Flavio M. Nobili
- Clinical Neurology, Department of Neuroscience (DINOGMI), University of Genoa and IRCCS AOU San Martino-IST, Genoa, Italy
| | - Kader K. Oguz
- Hacettepe University, Faculty of Medicine, Department of Neurology, Sihhiye, Ankara, Turkey
| | - Lucilla Parnetti
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | - João Pereira
- Neuroimaging Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Agnese Picco
- Clinical Neurology, Department of Neuroscience (DINOGMI), University of Genoa and IRCCS AOU San Martino-IST, Genoa, Italy
| | - Maria Pikkarainen
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Catarina Resende de Oliveira
- Center for Neuroscience and Cell Biology (CNC.IBILI), Faculty of Medicine, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Esen Saka
- Hacettepe University, Faculty of Medicine, Department of Neurology, Sihhiye, Ankara, Turkey
| | - Nicola Salvadori
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Raquel Sanchez-Valle
- Alzheimer’s disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, IDIBAPS, Barcelona, Spain
| | - Isabel Santana
- Center for Neuroscience and Cell Biology (CNC.IBILI), Faculty of Medicine, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | - Elio Scarpini
- University of Milan, Fondazione Ca’ Granda, IRCCS Ospedale Policlinico, Milan, Italy
| | - Philip Scheltens
- Alzheimer center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
- Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
| | - Hilkka Soininen
- Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland
| | - Roberto Tarducci
- Section of Neurology, Center for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Charlotte Teunissen
- Department of Clinical Chemistry, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
| | - Magda Tsolaki
- Aristotle University of Thessaloniki, Memory and Dementia Center, 3rd Department of Neurology, “G Papanicolaou” General Hospital, Thessaloniki, Greece
| | - Andrea Urbani
- Proteomics and Metabolomics Unit, IRCCS-Fondazione Santa Lucia, Rome, Italy
- Istituto di Biochimica e Biochimica Clinica, Universitá Cattolica, Roma, Italy
| | | | - Pieter Jelle Visser
- Alzheimer center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
- Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
- Department of Psychiatry and Neuropsychology, Maastricht University, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht, the Netherlands
| | - Asa K. Wallin
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Görsev Yener
- Department of Neurology, Medical School Izmir, Biomedicine and Genome Institute, Brain Dynamics Multidisciplinary Research Center, Dokuz Eylül University, Izmir, Turkey
| | - José L. Molinuevo
- Barcelona Beta Brain Research Centre, Pasqual Maragall Foundation, Barcelona, Spain
- Alzheimer’s disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, IDIBAPS, Barcelona, Spain
| | - Olga Meulenbroek
- Department of Geriatrics, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marcel M. Verbeek
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Donders Institute for Brain, Cognition and Behaviour, Radboud Alzheimer Centre, Radboud University Medical Center, Nijmegen, The Netherlands
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Abstract
Two processing methods of fMRI data are proposed: vector orthogonalization and Fisher transformation of correlation coefficients (cc) distribution. The former is based on orthogonalization of vectors V (time course of signal intensity) and R (noise) to make V independent from R. The latter is based on Fisher transformation of cc distribution. From this distribution, by usual statistical tests, it is possible to detect the values of the cc that are significantly different from the mean in order to select activated pixels.
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Albi A, Pasternak O, Minati L, Marizzoni M, Bartrés-Faz D, Bargalló N, Bosch B, Rossini PM, Marra C, Müller B, Fiedler U, Wiltfang J, Roccatagliata L, Picco A, Nobili FM, Blin O, Sein J, Ranjeva JP, Didic M, Bombois S, Lopes R, Bordet R, Gros-Dagnac H, Payoux P, Zoccatelli G, Alessandrini F, Beltramello A, Ferretti A, Caulo M, Aiello M, Cavaliere C, Soricelli A, Parnetti L, Tarducci R, Floridi P, Tsolaki M, Constantinidis M, Drevelegas A, Frisoni G, Jovicich J. Free water elimination improves test-retest reproducibility of diffusion tensor imaging indices in the brain: A longitudinal multisite study of healthy elderly subjects. Hum Brain Mapp 2016; 38:12-26. [PMID: 27519630 DOI: 10.1002/hbm.23350] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [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: 01/22/2016] [Revised: 07/11/2016] [Accepted: 08/04/2016] [Indexed: 01/16/2023] Open
Abstract
Free water elimination (FWE) in brain diffusion MRI has been shown to improve tissue specificity in human white matter characterization both in health and in disease. Relative to the classical diffusion tensor imaging (DTI) model, FWE is also expected to increase sensitivity to microstructural changes in longitudinal studies. However, it is not clear if these two models differ in their test-retest reproducibility. This study compares a bi-tensor model for FWE with DTI by extending a previous longitudinal-reproducibility 3T multisite study (10 sites, 7 different scanner models) of 50 healthy elderly participants (55-80 years old) scanned in two sessions at least 1 week apart. We computed the reproducibility of commonly used DTI metrics (FA: fractional anisotropy, MD: mean diffusivity, RD: radial diffusivity, and AXD: axial diffusivity), derived either using a DTI model or a FWE model. The DTI metrics were evaluated over 48 white-matter regions of the JHU-ICBM-DTI-81 white-matter labels atlas, and reproducibility errors were assessed. We found that relative to the DTI model, FWE significantly reduced reproducibility errors in most areas tested. In particular, for the FA and MD metrics, there was an average reduction of approximately 1% in the reproducibility error. The reproducibility scores did not significantly differ across sites. This study shows that FWE improves sensitivity and is thus promising for clinical applications, with the potential to identify more subtle changes. The increased reproducibility allows for smaller sample size or shorter trials in studies evaluating biomarkers of disease progression or treatment effects. Hum Brain Mapp 38:12-26, 2017. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Angela Albi
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
| | - Ofer Pasternak
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Ludovico Minati
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
| | - Moira Marizzoni
- LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine-IRCCS San Giovanni di Dio-FBF, Brescia, Italy
| | - David Bartrés-Faz
- Department of Psychiatry and Clinical Psychobiology, Universitat de Barcelona and IDIBAPS, Barcelona, Spain
| | - Núria Bargalló
- Department of Neuroradiology and Magnetic Resonance Image core Facility, Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain
| | - Beatriz Bosch
- Alzheimer's Disease and Other Cognitive Disorders Unit, Department of Neurology, Hospital Clínic, and IDIBAPS, Barcelona, Spain
| | - Paolo Maria Rossini
- Department Geriatrics Neuroscience & Orthopedics, Catholic University, Policlinic Gemelli, Rome, Italy.,IRCSS S.Raffaele Pisana, Rome, Italy
| | - Camillo Marra
- Center for Neuropsychological Research, Catholic University, Rome, Italy
| | - Bernhard Müller
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Ute Fiedler
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Jens Wiltfang
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg August University, Göttingen, Germany
| | - Luca Roccatagliata
- Department of Neuroradiology, IRCSS San Martino University Hospital and IST, Genoa, Italy.,Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Agnese Picco
- Department of Neuroscience, Ophthalmology, Genetics and Mother-Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Flavio Mariano Nobili
- Department of Neuroscience, Ophthalmology, Genetics and Mother-Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Oliver Blin
- Pharmacology, Assistance Publique-Hôpitaux de Marseille, Aix-Marseille University-CNRS, UMR, Marseille, 7289, France
| | - Julien Sein
- CRMBM-CEMEREM, UMR 7339, Aix Marseille Université-CNRS, Marseille, France
| | | | - Mira Didic
- APHM, CHU Timone, Service de Neurologie et Neuropsychologie, Marseille, France.,Aix Marseille Université, Inserm, INS UMR_S 1106, Marseille, 13005, France
| | - Stephanie Bombois
- Université de Lille, Inserm, CHU Lille, U1171-Degenerative and vascular cognitive disorders, Lille, F-59000, France
| | - Renaud Lopes
- Université de Lille, Inserm, CHU Lille, U1171-Degenerative and vascular cognitive disorders, Lille, F-59000, France
| | - Régis Bordet
- Université de Lille, Inserm, CHU Lille, U1171-Degenerative and vascular cognitive disorders, Lille, F-59000, France
| | - Hélène Gros-Dagnac
- INSERM, Imagerie cérébrale et handicaps neurologiques, UMR 825, Toulouse, France.,Université de Toulouse, UPS, Imagerie cérébrale et handicaps neurologiques, UMR 825, CHU Purpan, Place du Dr Baylac, Toulouse Cedex 9, France
| | - Pierre Payoux
- INSERM, Imagerie cérébrale et handicaps neurologiques, UMR 825, Toulouse, France.,Université de Toulouse, UPS, Imagerie cérébrale et handicaps neurologiques, UMR 825, CHU Purpan, Place du Dr Baylac, Toulouse Cedex 9, France
| | | | | | | | - Antonio Ferretti
- Department of Neuroscience Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy.,Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy
| | - Massimo Caulo
- Department of Neuroscience Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy.,Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy
| | | | | | - Andrea Soricelli
- IRCCS SDN, Naples, Italy.,University of Naples Parthenope, Naples, Italy
| | - Lucilla Parnetti
- Section of Neurology, Centre for Memory Disturbances, University of Perugia, Perugia, Italy
| | | | - Piero Floridi
- Neuroradiology Unit, Perugia General Hospital, Perugia, Italy
| | - Magda Tsolaki
- 3rd Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Antonios Drevelegas
- Interbalkan Medical Center of Thessaloniki, Thessaloniki, Greece.,Department of Radiology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Giovanni Frisoni
- LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine-IRCCS San Giovanni di Dio-FBF, Brescia, Italy.,Memory Clinic and LANVIE Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Jorge Jovicich
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
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31
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Didona A, Zucchetti C, Dipilato A, Iacco M, Panizza M, Frattegiani A, Bini V, Aristei C, Tarducci R. EP-1693: Constant dose rate VMAT and step-and-shoot IMRT in head and neck cancer: a comparative plan analysis. Radiother Oncol 2016. [DOI: 10.1016/s0167-8140(16)32944-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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32
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Marchitelli R, Minati L, Marizzoni M, Bosch B, Bartrés-Faz D, Müller BW, Wiltfang J, Fiedler U, Roccatagliata L, Picco A, Nobili F, Blin O, Bombois S, Lopes R, Bordet R, Sein J, Ranjeva JP, Didic M, Gros-Dagnac H, Payoux P, Zoccatelli G, Alessandrini F, Beltramello A, Bargalló N, Ferretti A, Caulo M, Aiello M, Cavaliere C, Soricelli A, Parnetti L, Tarducci R, Floridi P, Tsolaki M, Constantinidis M, Drevelegas A, Rossini PM, Marra C, Schönknecht P, Hensch T, Hoffmann KT, Kuijer JP, Visser PJ, Barkhof F, Frisoni GB, Jovicich J. Test-retest reliability of the default mode network in a multi-centric fMRI study of healthy elderly: Effects of data-driven physiological noise correction techniques. Hum Brain Mapp 2016; 37:2114-32. [PMID: 26990928 DOI: 10.1002/hbm.23157] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [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: 08/17/2015] [Revised: 02/16/2016] [Accepted: 02/17/2016] [Indexed: 12/31/2022] Open
Abstract
Understanding how to reduce the influence of physiological noise in resting state fMRI data is important for the interpretation of functional brain connectivity. Limited data is currently available to assess the performance of physiological noise correction techniques, in particular when evaluating longitudinal changes in the default mode network (DMN) of healthy elderly participants. In this 3T harmonized multisite fMRI study, we investigated how different retrospective physiological noise correction (rPNC) methods influence the within-site test-retest reliability and the across-site reproducibility consistency of DMN-derived measurements across 13 MRI sites. Elderly participants were scanned twice at least a week apart (five participants per site). The rPNC methods were: none (NPC), Tissue-based regression, PESTICA and FSL-FIX. The DMN at the single subject level was robustly identified using ICA methods in all rPNC conditions. The methods significantly affected the mean z-scores and, albeit less markedly, the cluster-size in the DMN; in particular, FSL-FIX tended to increase the DMN z-scores compared to others. Within-site test-retest reliability was consistent across sites, with no differences across rPNC methods. The absolute percent errors were in the range of 5-11% for DMN z-scores and cluster-size reliability. DMN pattern overlap was in the range 60-65%. In particular, no rPNC method showed a significant reliability improvement relative to NPC. However, FSL-FIX and Tissue-based physiological correction methods showed both similar and significant improvements of reproducibility consistency across the consortium (ICC = 0.67) for the DMN z-scores relative to NPC. Overall these findings support the use of rPNC methods like tissue-based or FSL-FIX to characterize multisite longitudinal changes of intrinsic functional connectivity. Hum Brain Mapp 37:2114-2132, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Rocco Marchitelli
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
| | - Ludovico Minati
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy.,Scientific Department, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Moira Marizzoni
- LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine-IRCCS San Giovanni Di Dio-FBF, Brescia, Italy
| | - Beatriz Bosch
- Alzheimer's Disease and Other Cognitive Disorders Unit, Department of Neurology, Hospital Clínic, and IDIBAPS, Barcelona, Spain
| | - David Bartrés-Faz
- Department of Psychiatry and Clinical Psychobiology, Universitat De Barcelona and IDIBAPS, Barcelona, Spain
| | - Bernhard W Müller
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Jens Wiltfang
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg August University, Göttingen, Germany
| | - Ute Fiedler
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Luca Roccatagliata
- Department of Neuroradiology, IRCSS San Martino University Hospital and IST, Genoa, Italy.,Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Agnese Picco
- Department of Neuroscience, Ophthalmology, Genetics and Mother-Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Flavio Nobili
- Department of Neuroscience, Ophthalmology, Genetics and Mother-Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Oliver Blin
- Pharmacology, Assistance Publique - Hôpitaux De Marseille, Aix-Marseille University-CNRS, UMR, Marseille, 7289, France
| | - Stephanie Bombois
- University of Lille, INSERM, CHU Lille, U1171 - Degenerative and Vascular Cognitive Disorders, Lille, France
| | - Renaud Lopes
- University of Lille, INSERM, CHU Lille, U1171 - Degenerative and Vascular Cognitive Disorders, Lille, France
| | - Régis Bordet
- University of Lille, INSERM, CHU Lille, U1171 - Degenerative and Vascular Cognitive Disorders, Lille, France
| | - Julien Sein
- CRMBM-CEMEREM, UMR 7339, Aix Marseille Université-CNRS, Marseille, France
| | | | - Mira Didic
- APHM, CHU Timone, Service De Neurologie Et Neuropsychologie, Marseille, France.,Aix-Marseille Université, INSERM INS UMR_S 1106, Marseille, 13005, France
| | - Hélène Gros-Dagnac
- INSERM, Imagerie Cérébrale Et Handicaps Neurologiques, UMR 825, Toulouse, France.,Université De Toulouse, UPS, Imagerie Cérébrale Et Handicaps Neurologiques, UMR 825, CHU Purpan, Place Du Dr Baylac, Toulouse Cedex 9, France
| | - Pierre Payoux
- INSERM, Imagerie Cérébrale Et Handicaps Neurologiques, UMR 825, Toulouse, France.,Université De Toulouse, UPS, Imagerie Cérébrale Et Handicaps Neurologiques, UMR 825, CHU Purpan, Place Du Dr Baylac, Toulouse Cedex 9, France
| | | | | | | | - Núria Bargalló
- Department of Neuroradiology and Magnetic Resonace Image Core Facility, Hospital Clínic De Barcelona, IDIBAPS, Barcelona, Spain
| | - Antonio Ferretti
- Department of Neuroscience Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy.,Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy
| | - Massimo Caulo
- Department of Neuroscience Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy.,Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy
| | | | | | - Andrea Soricelli
- IRCCS SDN, Naples, Italy.,University of Naples Parthenope, Naples, Italy
| | - Lucilla Parnetti
- Section of Neurology, Centre for Memory Disturbances, University of Perugia, Perugia, Italy
| | | | - Piero Floridi
- Perugia General Hospital, Neuroradiology Unit, Perugia, Italy
| | - Magda Tsolaki
- 3rd Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Antonios Drevelegas
- Interbalkan Medical Center of Thessaloniki, Thessaloniki, Greece.,Department of Radiology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Paolo Maria Rossini
- Department of Geriatrics, Neuroscience & Orthopaedics, Catholic University, Policlinic Gemelli, Rome, Italy.,IRCSS S.Raffaele Pisana, Rome, Italy
| | - Camillo Marra
- Center for Neuropsychological Research, Catholic University, Rome, Italy
| | - Peter Schönknecht
- Department of Psychiatry, University Hospital Leipzig, Leipzig, Germany
| | - Tilman Hensch
- Department of Psychiatry, University Hospital Leipzig, Leipzig, Germany
| | | | - Joost P Kuijer
- Department of Physics and Medical Technology, VU University Medical Center, Amsterdam, the Netherlands
| | - Pieter Jelle Visser
- Alzheimer Centre and Department of Neurology, Vrije Universiteit University Medical Center, Amsterdam, the Netherlands.,Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, University of Maastricht, Maastricht, the Netherlands
| | - Frederik Barkhof
- Alzheimer Centre and Department of Neurology, Vrije Universiteit University Medical Center, Amsterdam, the Netherlands
| | - Giovanni B Frisoni
- LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine-IRCCS San Giovanni Di Dio-FBF, Brescia, Italy.,Memory Clinic and LANVIE, Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Jorge Jovicich
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
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33
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Saetta D, D’Arpino A, Rongoni A, Sabatini P, Beneventi S, Susta F, Iacco M, Baffa N, Tarducci R. PP-029 Study of radionuclide impurities in 18f-metil-choline: Setup of the measurement geometry for high purity germanium gamma ray spectrometer. Eur J Hosp Pharm 2016. [DOI: 10.1136/ejhpharm-2016-000875.468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
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34
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Marcantonini M, Lancellotta V, Montesi G, Falcinelli L, Aristei C, Tarducci R. Protocol implementation of total marrow irradiation (TMI) plus total lymphoid irradiation (TLI) using helical tomotherapy (HT). Phys Med 2016. [DOI: 10.1016/j.ejmp.2016.01.141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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35
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Didona A, Zucchetti C, Aristei C, Tarducci R. Volumetric modulated arc therapy for delivery of head and neck radiotherapy: Comparison between constant and variable dose rate. Phys Med 2016. [DOI: 10.1016/j.ejmp.2016.01.070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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36
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Iacco M, Zucchetti C, Marcantonini M, Dipilato A, Lancellotta V, Aristei C, Tarducci R. Dosimetric comparison between four irradiation techniques for breast cancer. Phys Med 2016. [DOI: 10.1016/j.ejmp.2016.01.112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
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37
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Dipilato A, Zucchetti C, Iacco M, Tarducci R. Evaluation of superficial dose in tomotherapy: A phantom study. Phys Med 2016. [DOI: 10.1016/j.ejmp.2016.01.072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
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38
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Didona A, Zucchetti C, Dipilato A, Fulcheri C, Tarducci R. Evaluation of delivery accuracy of head and neck radiotherapy with constant dose rate VMAT. Phys Med 2016. [DOI: 10.1016/j.ejmp.2016.01.069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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39
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Chiappiniello A, Fulcheri C, Tarducci R. The role of Pinnacle3 scripting in streamlining IMRT and 3D-CRT treatment planning. Phys Med 2016. [DOI: 10.1016/j.ejmp.2016.01.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
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40
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Sghedoni R, Coniglio A, Belli G, Busoni S, Ciccarone A, Esposito M, Giannelli M, Mazzoni L, Nocetti L, Tarducci R, Altabella I, Anoja R, Berardi P, Bertolini N, Biagini C, Carnì M, Cesana P, Cimolai S, Clemente S, Fabbri E, Fedeli L, Filice S, Levrero F, Meliadò G, Mordini N, Morzenti S, Moscato A, Oberhofer N, Paruccini N, Ricci A, Romeo N, Scelfo D, Toncelli A, Torresin A, Tosetti M, Zucca I, Gori C. AIFM multicenter intercomparison of MR scanners for proton spectroscopy – preliminary results. Phys Med 2016. [DOI: 10.1016/j.ejmp.2016.01.459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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Iacco M, Rongoni A, Beneventi S, Saetta D, Susta F, Sabatini P, Marconi M, Tarducci R. Assessment of radionuclide impurities in 18F-Metil-Choline (18F-FMeCh). Phys Med 2016. [DOI: 10.1016/j.ejmp.2016.01.411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
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Marizzoni M, Antelmi L, Bosch B, Bartrés-Faz D, Müller BW, Wiltfang J, Fiedler U, Roccatagliata L, Picco A, Nobili F, Blin O, Bombois S, Lopes R, Sein J, Ranjeva JP, Didic M, Gros-Dagnac H, Payoux P, Zoccatelli G, Alessandrini F, Beltramello A, Bargalló N, Ferretti A, Caulo M, Aiello M, Cavaliere C, Soricelli A, Salvadori N, Parnetti L, Tarducci R, Floridi P, Tsolaki M, Constantinidis M, Drevelegas A, Rossini PM, Marra C, Hoffmann KT, Hensch T, Schönknecht P, Kuijer JP, Visser PJ, Barkhof F, Bordet R, Frisoni GB, Jovicich J. Longitudinal reproducibility of automatically segmented hippocampal subfields: A multisite European 3T study on healthy elderly. Hum Brain Mapp 2015; 36:3516-27. [PMID: 26043939 DOI: 10.1002/hbm.22859] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [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: 02/19/2015] [Revised: 04/28/2015] [Accepted: 05/16/2015] [Indexed: 12/20/2022] Open
Abstract
Recently, there has been an increased interest in the use of automatically segmented subfields of the human hippocampal formation derived from magnetic resonance imaging (MRI). However, little is known about the test-retest reproducibility of such measures, particularly in the context of multisite studies. Here, we report the reproducibility of automated Freesurfer hippocampal subfields segmentations in 65 healthy elderly enrolled in a consortium of 13 3T MRI sites (five subjects per site). Participants were scanned in two sessions (test and retest) at least one week apart. Each session included two anatomical 3D T1 MRI acquisitions harmonized in the consortium. We evaluated the test-retest reproducibility of subfields segmentation (i) to assess the effects of averaging two within-session T1 images and (ii) to compare subfields with whole hippocampus volume and spatial reliability. We found that within-session averaging of two T1 images significantly improved the reproducibility of all hippocampal subfields but not that of the whole hippocampus. Volumetric and spatial reproducibility across MRI sites were very good for the whole hippocampus, CA2-3, CA4-dentate gyrus (DG), subiculum (reproducibility error∼2% and DICE > 0.90), good for CA1 and presubiculum (reproducibility error ∼ 5% and DICE ∼ 0.90), and poorer for fimbria and hippocampal fissure (reproducibility error ∼ 15% and DICE < 0.80). Spearman's correlations confirmed that test-retest reproducibility improved with volume size. Despite considerable differences of MRI scanner configurations, we found consistent hippocampal subfields volumes estimation. CA2-3, CA4-DG, and sub-CA1 (subiculum, presubiculum, and CA1 pooled together) gave test-retest reproducibility similar to the whole hippocampus. Our findings suggest that the larger hippocampal subfields volume may be reliable longitudinal markers in multisite studies.
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Affiliation(s)
- Moira Marizzoni
- LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine - IRCCS San Giovanni Di Dio-FBF, Brescia, Italy
| | - Luigi Antelmi
- Memory Clinic and LANVIE - Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Beatriz Bosch
- Department of Psychiatry and Clinical Psychobiology, Universitat De Barcelona and IDIBAPS, Barcelona, Spain
| | - David Bartrés-Faz
- Department of Psychiatry and Clinical Psychobiology, Universitat De Barcelona and IDIBAPS, Barcelona, Spain
| | - Bernhard W Müller
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center (UMG), Georg-August University, Göttingen, Germany
| | - Ute Fiedler
- LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany
| | - Luca Roccatagliata
- Department of Neuroradiology, IRCSS San Martino University Hospital and IST, Genoa, Italy
- Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Agnese Picco
- Department of Neuroscience, Ophthalmology, Genetics and Mother-Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Flavio Nobili
- Department of Neuroscience, Ophthalmology, Genetics and Mother-Child Health (DINOGMI), University of Genoa, Genoa, Italy
| | - Olivier Blin
- Pharmacology, Assistance Publique - Hôpitaux De Marseille, Aix-Marseille University - CNRS, UMR 7289, Marseille, France
| | - Stephanie Bombois
- Department of Neurology, INSERM U1171, Lille University, Lille, France
| | - Renaud Lopes
- Department of Neuroradiology, INSERM U1171, Lille University, Lille, France
| | - Julien Sein
- CRMBM-CEMEREM, UMR 7339, Aix Marseille Université - CNRS, Marseille, France
| | | | - Mira Didic
- Service de Neurologie et Neuropsychologie, APHM, CHU Timone, Marseille, France
- Aix-Marseille Université, Inserm, INS UMR_S 1106, 13005, Marseille, France
| | - Hélène Gros-Dagnac
- Imagerie Cérébrale Et Handicaps Neurologiques, INSERM, Toulouse, F, 31024, France
- Université Toulouse 3 Paul Sabatier, UMR 825 Imagerie Cérébrale Et Handicaps Neurologiques, Toulouse, F, 31024, France
| | - Pierre Payoux
- Imagerie Cérébrale Et Handicaps Neurologiques, INSERM, Toulouse, F, 31024, France
- Université Toulouse 3 Paul Sabatier, UMR 825 Imagerie Cérébrale Et Handicaps Neurologiques, Toulouse, F, 31024, France
| | - Giada Zoccatelli
- Service of Neuroradiology, University Hospital of Verona, Verona, Italy
| | | | | | - Núria Bargalló
- Department of Neuroradiology and Magnetic Resonace Image Core Facility, Hospital Clínic De Barcelona, IDIBAPS, Barcelona, Spain
| | - Antonio Ferretti
- Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy
- Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy
| | - Massimo Caulo
- Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy
- Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy
| | | | | | - Andrea Soricelli
- IRCCS SDN, Naples, Italy
- University of Naples Parthenope, Naples, Italy
| | - Nicola Salvadori
- Section of Neurology, Centre for Memory Disturbances, University of Perugia, Perugia, Italy
| | - Lucilla Parnetti
- Section of Neurology, Centre for Memory Disturbances, University of Perugia, Perugia, Italy
| | | | - Piero Floridi
- Neuroradiology Unit, Perugia General Hospital, Perugia, Italy
| | - Magda Tsolaki
- 3rd Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Antonios Drevelegas
- Interbalkan Medical Center of Thessaloniki, Thessaloniki, Greece
- Department of Radiology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Paolo Maria Rossini
- Deptartment of Geriatrics, Neuroscience and Orthopaedics, Catholic University, Policlinic Gemelli, Rome, Italy
- IRCSS S.Raffaele Pisana, Rome, Italy
| | - Camillo Marra
- Center for Neuropsychological Research, Catholic University, Rome, Italy
| | | | - Tilman Hensch
- Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Leipzig, Germany
| | - Peter Schönknecht
- Department of Psychiatry and Psychotherapy, University Hospital Leipzig, Leipzig, Germany
| | - Joost P Kuijer
- Deptartment of Physics and Medical Technology, VU University Medical Center, Amsterdam, the Netherlands
| | - Pieter Jelle Visser
- Department of Psychiatry and Neuropsychology, Alzheimer Center Limburg, University of Maastricht, Maastricht, the Netherlands
| | - Frederik Barkhof
- Radiology and Image Analysis Centre (IAC), VU University Medical Center, Amsterdam, the Netherlands
| | - Régis Bordet
- Department of Pharmacology, INSERM U1171, Lille University, Lille, France
| | - Giovanni B Frisoni
- LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine - IRCCS San Giovanni Di Dio-FBF, Brescia, Italy
- Memory Clinic and LANVIE - Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Jorge Jovicich
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
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Belli G, Busoni S, Ciccarone A, Coniglio A, Esposito M, Giannelli M, Mazzoni LN, Nocetti L, Sghedoni R, Tarducci R, Zatelli G, Anoja RA, Belmonte G, Bertolino N, Betti M, Biagini C, Ciarmatori A, Cretti F, Fabbri E, Fedeli L, Filice S, Fulcheri CPL, Gasperi C, Mangili PA, Mazzocchi S, Meliadò G, Morzenti S, Noferini L, Oberhofer N, Orsingher L, Paruccini N, Princigalli G, Quattrocchi M, Rinaldi A, Scelfo D, Freixas GV, Tenori L, Zucca I, Luchinat C, Gori C, Gobbi G. Quality assurance multicenter comparison of different MR scanners for quantitative diffusion-weighted imaging. J Magn Reson Imaging 2015; 43:213-9. [PMID: 26013043 DOI: 10.1002/jmri.24956] [Citation(s) in RCA: 66] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Accepted: 05/11/2015] [Indexed: 12/13/2022] Open
Abstract
PURPOSE To propose a magnetic resonance imaging (MRI) quality assurance procedure that can be used for multicenter comparison of different MR scanners for quantitative diffusion-weighted imaging (DWI). MATERIALS AND METHODS Twenty-six centers (35 MR scanners with field strengths: 1T, 1.5T, and 3T) were enrolled in the study. Two different DWI acquisition series (b-value ranges 0-1000 and 0-3000 s/mm(2) , respectively) were performed for each MR scanner. All DWI acquisitions were performed by using a cylindrical doped water phantom. Mean apparent diffusion coefficient (ADC) values as well as ADC values along each of the three main orthogonal directions of the diffusion gradients (x, y, and z) were calculated. Short-term repeatability of ADC measurement was evaluated for 26 MR scanners. RESULTS A good agreement was found between the nominal and measured mean ADC over all the centers. More than 80% of mean ADC measurements were within 5% from the nominal value, and the highest deviation and overall standard deviation were 9.3% and 3.5%, respectively. Short-term repeatability of ADC measurement was found <2.5% for all MR scanners. CONCLUSION A specific and widely accepted protocol for quality controls in DWI is still lacking. The DWI quality assurance protocol proposed in this study can be applied in order to assess the reliability of DWI-derived indices before tackling single- as well as multicenter studies.
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Affiliation(s)
| | | | | | - Angela Coniglio
- Medical Physics Department, Fondazione Fatebenefratelli per la Ricerca e la Formazione sanitaria e sociale, San Giovanni Calibita Hospital, Rome, Italy
| | | | | | | | - Luca Nocetti
- Medical Phisics Department, AOU Policlinico Modena, Italy
| | - Roberto Sghedoni
- Medical Physics Unit, Arcispedale Santa Maria Nuova - IRCCS, Reggio Emilia, Italy
| | | | | | | | | | - Nicola Bertolino
- UO Direzione Sanitaria, IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Margherita Betti
- Health Physics Unit, Centro Oncologico Fiorentino, Sesto Fiorentino, Italy
| | - Cristiano Biagini
- Radiodiagnostic Unit, Centro Oncologico Fiorentino, Sesto Fiorentino, Italy
| | | | | | - Emma Fabbri
- Health Physics Unit, Ospedale Sant'Orsola-Malpighi, Bologna, Italy
| | - Luca Fedeli
- Health Physics Unit, AOU Careggi, Florence, Italy
| | | | | | | | | | | | | | | | | | - Nadia Oberhofer
- Health Physics Unit, Azienda Sanitaria dell'Alto Adige-Ospedale Bolzano, Italy
| | - Laura Orsingher
- Medical Physics Unit, Arcispedale Santa Maria Nuova - IRCCS, Reggio Emilia, Italy
| | | | | | | | - Adele Rinaldi
- Medical Physics Department, Fondazione Fatebenefratelli per la Ricerca e la Formazione sanitaria e sociale, San Giovanni Calibita Hospital, Rome, Italy
| | - Danilo Scelfo
- Department of Developmental Neuroscience, Stella Maris Scientific Institute, Pisa, Italy
| | | | - Leonardo Tenori
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy; FiorGen Foundation, Sesto Fiorentino, Italy
| | - Ileana Zucca
- UO Direzione Scientifica, IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Claudio Luchinat
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy; FiorGen Foundation, Sesto Fiorentino, Italy
| | - Cesare Gori
- Health Physics Unit, AOU Careggi, Florence, Italy
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Jovicich J, Marizzoni M, Bosch B, Bartrés-Faz D, Arnold J, Benninghoff J, Wiltfang J, Roccatagliata L, Picco A, Nobili F, Blin O, Bombois S, Lopes R, Bordet R, Chanoine V, Ranjeva JP, Didic M, Gros-Dagnac H, Payoux P, Zoccatelli G, Alessandrini F, Beltramello A, Bargalló N, Ferretti A, Caulo M, Aiello M, Ragucci M, Soricelli A, Salvadori N, Tarducci R, Floridi P, Tsolaki M, Constantinidis M, Drevelegas A, Rossini PM, Marra C, Otto J, Reiss-Zimmermann M, Hoffmann KT, Galluzzi S, Frisoni GB. Multisite longitudinal reliability of tract-based spatial statistics in diffusion tensor imaging of healthy elderly subjects. Neuroimage 2014; 101:390-403. [DOI: 10.1016/j.neuroimage.2014.06.075] [Citation(s) in RCA: 72] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2014] [Revised: 04/30/2014] [Accepted: 06/28/2014] [Indexed: 12/13/2022] Open
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Mangialasche F, Westman E, Kivipelto M, Muehlboeck JS, Cecchetti R, Baglioni M, Tarducci R, Gobbi G, Floridi P, Soininen H, Kłoszewska I, Tsolaki M, Vellas B, Spenger C, Lovestone S, Wahlund LO, Simmons A, Mecocci P. Classification and prediction of clinical diagnosis of Alzheimer's disease based on MRI and plasma measures of α-/γ-tocotrienols and γ-tocopherol. J Intern Med 2013; 273:602-21. [PMID: 23343471 DOI: 10.1111/joim.12037] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND The aim of this study was to evaluate the accuracy of combined structural magnetic resonance imaging (MRI) measures and plasma levels of vitamin E forms, including all eight natural vitamin E congeners (four tocopherols and four tocotrienols) and markers of vitamin E oxidative/nitrosative damage, in differentiating individuals with Alzheimer's disease (AD) and mild cognitive impairment (MCI) from cognitively intact control (CTL) subjects. METHODS Overall, 81 patients with AD, 86 with MCI and 86 CTL individuals were enrolled from the longitudinal multicentre AddNeuroMed study. MRI and plasma vitamin E data were acquired at baseline. MRI scans were analysed using Freesurfer, an automated segmentation scheme which generates regional volume and cortical thickness measures. Orthogonal partial least squares to latent structures (OPLS), a multivariate data analysis technique, was used to analyse MRI and vitamin E measures in relation to AD and MCI diagnosis. RESULTS The joint evaluation of MRI and plasma vitamin E measures enhanced the accuracy of differentiating individuals with AD and MCI from CTL subjects: 98.2% (sensitivity 98.8%, specificity 97.7%) for AD versus CTL, and 90.7% (sensitivity 91.8%, specificity 89.5%) for MCI versus CTL. This combination of measures also identified 85% of individuals with MCI who converted to clinical AD at follow-up after 1 year. CONCLUSIONS Plasma levels of tocopherols and tocotrienols together with automated MRI measures can help to differentiate AD and MCI patients from CTL subjects, and to prospectively predict MCI conversion into AD. Our results suggest the potential role of nutritional biomarkers detected in plasma-tocopherols and tocotrienols-as indirect indicators of AD pathology, and the utility of a multimodality approach.
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Affiliation(s)
- F Mangialasche
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
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Abstract
This review analyzes PET images in radiotherapy treatment planning for lung cancer patients and discusses the most controversial current issues. Computed tomography images are commonly used to assess location and extension of target volumes and organs at risk in radiotherapy treatment planning. Although PET is more sensitive and specific, contouring on PET images is difficult because tumor margins are indistinct, due to heterogeneous (18)fluorodeoxyglucose uptake distribution and limited spatial resolution. The best target delineation criteria have not yet been established. In non-small-cell lung cancer, PET appears to improve sparing of organs at risk and reduce the risk of toxicity; prescribed doses can be increased. Data are scarce on small-cell lung cancer.
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Affiliation(s)
- Cynthia Aristei
- Radiation Oncology Section, Department of Surgical, Radiological and Odontostomatological Sciences, University of Perugia, Ospedale Santa Maria della Misericordia, Sant'Andrea delle Fratte, 06156 Perugia, Italy.
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Aristei C, Palumbo I, Cucciarelli F, Cavalli A, Tarducci R, Raymondi C, Perrucci E, Cavaliere A, Latini P, Rulli A. Partial breast irradiation with interstitial high-dose-rate brachytherapy in early breast cancer: Results of a phase II prospective study. Eur J Surg Oncol 2009; 35:144-50. [DOI: 10.1016/j.ejso.2008.06.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2008] [Revised: 05/22/2008] [Accepted: 06/02/2008] [Indexed: 10/21/2022] Open
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Aristei C, Tarducci R, Palumbo I, Cavalli A, Corazzi F, Rulli A, Raymondi C, Latini P. Computed tomography for excision cavity localization and 3D-treatment planning in partial breast irradiation with high-dose-rate interstitial brachytherapy. Radiother Oncol 2009; 90:43-7. [DOI: 10.1016/j.radonc.2007.10.029] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2007] [Accepted: 10/17/2007] [Indexed: 11/25/2022]
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Sarchielli P, Presciutti O, Alberti A, Tarducci R, Gobbi G, Galletti F, Costa C, Eusebi P, Calabresi P. A 1H magnetic resonance spectroscopy study in patients with obstructive sleep apnea. Eur J Neurol 2008; 15:1058-64. [PMID: 18717729 DOI: 10.1111/j.1468-1331.2008.02244.x] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND PURPOSE Repeated episodes of hypoxia, hypercapnia and transient blood pressure elevation in obstructive sleep apnea syndrome (OSAS) may damage neutral structures and induce cerebral metabolic impairment. This study aimed to determine the impact of OSAS on cerebral metabolites measured by (1)H magnetic resonance spectroscopy ((1)H -MRS). METHODS Twenty OSAS patients underwent standard overnight polysomnography and (1)H-MRS separately. Proton volumes of interest (VOIs) were placed in frontal and midtemporal regions bilaterally. RESULTS Significantly lower values of the N-acetylaspartate (NAA)/creatine (Cr) ratio were found in frontal regions (P < 0.004) compared with 20 age-matched control subjects. A significant increase in the myo-inositol (Ins)/Cr ratio was evident bilaterally in temporal and frontal regions (P < 0.00002 and P < 0.04). Choline (Cho)/Cr ratio values were also significantly greater in temporal regions (P < 0.00001). A significant negative correlation (r = -0.51, P < 0.03) was found between the apnea-hypopnea index (AHI) and NAA/Cr ratio in the frontal regions of OSAS patients. CONCLUSIONS Reduction in the NAA/Cr ratio in frontal regions of OSAS patients could be related to neural loss. Increase in the Cho/Cr ratio in temporal regions and Ins/Cr ratio in both frontal and temporal regions could be interpreted as evidence of membrane breakdown and reactive gliosis, respectively, consequent to repeated episodes of hypoxia in OSAS.
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Affiliation(s)
- P Sarchielli
- Neurologic Clinic, University of Perugia, Perugia, Italy
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