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2. Psychological Intervention Based on Mental Relaxation to Manage Stress in Female Junior Elite Soccer Team: Improvement in Cardiac Autonomic Control, Perception of Stress and Overall Health

Author

Pagani, E, Gavazzoni, N, Bernardelli, G, Malacarne, M, Solaro, N, Giusti, E, Castelnuovo, G, Volpi, P, Carimati, G, Lucini, D, Pagani E., Gavazzoni N., Bernardelli G., Malacarne M., Solaro N., Giusti E., Castelnuovo G., Volpi P., Carimati G., Lucini D., Pagani, E, Gavazzoni, N, Bernardelli, G, Malacarne, M, Solaro, N, Giusti, E, Castelnuovo, G, Volpi, P, Carimati, G, Lucini, D, Pagani E., Gavazzoni N., Bernardelli G., Malacarne M., Solaro N., Giusti E., Castelnuovo G., Volpi P., Carimati G., and Lucini D.

Abstract

Chronic stress may represent one of the most important factors that negatively affects the health and performance of athletes. Finding a way to introduce psychological strategies to manage stress in everyday training routines is challenging, particularly in junior teams. We also must consider that a stress management intervention should be regarded as “efficacious” only if its application results in improvement of the complex underlying pathogenetic substratum, which considers mechanistically interrelated factors, such as immunological, endocrine and autonomic controls further to psychological functioning and behavior. In this study, we investigated the feasibility of implementing, in a standard training routine of the junior team of the Italian major soccer league, a stress management program based on mental relaxation training (MRT). We evaluated its effects on stress perception and cardiac autonomic regulation as assessed by means of ANSI, a single composite percentile-ranked proxy of autonomic balance, which is free of gender and age bias, economical, and simple to apply in a clinical setting. We observed that the simple employed MRT intervention was feasible in a female junior soccer team and was associated with a reduced perception of stress, an improved perception of overall health, and a betterment of cardiac autonomic control. This data may corroborate the scientific literature that indicates psychological intervention based on MRT as an efficacious strategy to improve performance, managing negative stress effects on cardiac autonomic control.

Published
2023

6. Resting-state functional MRI in multicenter studies on multiple sclerosis: a report on raw data quality and functional connectivity features from the Italian Neuroimaging Network Initiative

Author

De Rosa, A. P., Esposito, F., Valsasina, P., D’Ambrosio, A., Bisecco, A., Rocca, M. A., Tommasin, S., Marzi, C., De Stefano, N., Battaglini, M., Pantano, P., Cirillo, M., Tedeschi, G., Filippi, M., Gallo, A., the INNI Network, Altieri, M., Borgo, R., Capuano, R., Storelli, L., Pagani, E., Sibilia, M., Piervincenzi, C., Ruggieri, S., Petsas, N., Cortese, R., Stromillo, M. L., De Rosa, Alessandro Pasquale, Esposito, Fabrizio, Valsasina, Paola, D'Ambrosio, Alessandro, Bisecco, Alvino, Rocca, Maria A, Tommasin, Silvia, Marzi, Chiara, De Stefano, Nicola, Battaglini, Marco, Pantano, Patrizia, Cirillo, Mario, Tedeschi, Gioacchino, Filippi, Massimo, and Gallo, Antonio

Subjects
Multiple sclerosis, Functional connectivity, Neurology, Functional magnetic resonance imaging, Quality control, Multiple sclerosi, MS, Neurology (clinical), MRI
Abstract

The Italian Neuroimaging Network Initiative (INNI) is an expanding repository of brain MRI data from multiple sclerosis (MS) patients recruited at four Italian MRI research sites. We describe the raw data quality of resting-state functional MRI (RS-fMRI) time-series in INNI and the inter-site variability in functional connectivity (FC) features after unified automated data preprocessing. MRI datasets from 489 MS patients and 246 healthy control (HC) subjects were retrieved from the INNI database. Raw data quality metrics included temporal signal-to-noise ratio (tSNR), spatial smoothness (FWHM), framewise displacement (FD), and differential variation in signals (DVARS). Automated preprocessing integrated white-matter lesion segmentation (SAMSEG) into a standard fMRI pipeline (fMRIPrep). FC features were calculated on pre-processed data and harmonized between sites (Combat) prior to assessing general MS-related alterations. Across centers (both groups), median tSNR and FWHM ranged from 47 to 84 and from 2.0 to 2.5, and median FD and DVARS ranged from 0.08 to 0.24 and from 1.06 to 1.22. After preprocessing, only global FC-related features were significantly correlated with FD or DVARS. Across large-scale networks, age/sex/FD-adjusted and harmonized FC features exhibited both inter-site and site-specific inter-group effects. Significant general reductions were obtained for somatomotor and limbic networks in MS patients (vs. HC). The implemented procedures provide technical information on raw data quality and outcome of fully automated preprocessing that might serve as reference in future RS-fMRI studies within INNI. The unified pipeline introduced little bias across sites and appears suitable for multisite FC analyses on harmonized network estimates.

Published
2022

7. Diffusion-based structural connectivity patterns of multiple sclerosis phenotypes

Author

Martinez-Heras, E, primary, Solana, E, additional, Vivó, F, additional, Lopez-Soley, E, additional, Calvi, A, additional, Alba-Arbalat, S, additional, Schoonheim, MM, additional, Strijbis, EMM, additional, Vrenken, H, additional, Barkhof, F, additional, Rocca, MA, additional, Filippi, M, additional, Pagani, E, additional, Groppa, S, additional, Fleischer, V, additional, Dineen, R, additional, Ballenberg, B, additional, Lukas, C, additional, Pareto, D, additional, Rovira, À, additional, Sastre-Garriga, J, additional, Collorone, S, additional, Prados, F, additional, Toosy, AT, additional, Ciccarelli, O, additional, Saiz, A, additional, Blanco, Y, additional, and Llufriu, S, additional

Published
2023
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8. Virtually stained H&E images and nuclei segmentation combining neural networks and spectral phasor analysis

Author

Ferraro, P, Psaltis, D, Grilli, S, Pagani, E, Panzeri, D, Scodellaro, R, Bouzin, M, D'Alfonso, L, Collini, M, Chirico, G, Inverso, D, Sironi, L, Ferraro, P, Psaltis, D, Grilli, S, Pagani, E, Panzeri, D, Scodellaro, R, Bouzin, M, D'Alfonso, L, Collini, M, Chirico, G, Inverso, D, and Sironi, L

Abstract

H&E stained sections are the gold standard for disease diagnosis but, unfortunately, the staining process is time-consuming and expensive. In an effort to overcome these problems, here, we propose a virtual staining algorithm, able to predict an Hematoxylin/Eosin (H&E) image, usually exploited during clinical evaluations, starting from the autofluorescence signal of entire liver tissue sections acquired by a confocal microscope. The color and texture contents of the generated virtually stained images have been analyzed through the phasor-based approach to detect tumorous tissue and to segment relevant biological structures (accuracy>90% compared to the expert manual analysis).

Published
2023

9. Fibrosis detection and quantification in whole slide images through deep learning

Author

Ferraro, P, Psaltis, D, Grilli, S, Panzeri, D, Pagani, E, Scodellaro, R, Chirico, G, Di Tommaso, L, Inverso, D, Sironi, L, Ferraro, P, Psaltis, D, Grilli, S, Panzeri, D, Pagani, E, Scodellaro, R, Chirico, G, Di Tommaso, L, Inverso, D, and Sironi, L

Abstract

We present a new AI-based method for the quantification of liver fibrosis in tissue sections stained with Picro Sirius Red which highlights collagen. The method segments and quantifies collagen, a marker of the fibrotic response, through a deep learning model trained on 20 whole-slide images. The results show a Dice score > 90% compared to manual annotations, demonstrating its potential aid during diagnosis. Furthermore, our approach can be extended to other staining protocols.

Published
2023

10. Psychological Intervention Based on Mental Relaxation to Manage Stress in Female Junior Elite Soccer Team: Improvement in Cardiac Autonomic Control, Perception of Stress and Overall Health

Author

Pagani, Eleonora, Gavazzoni, N., Bernardelli, G., Malacarne, M., Solaro, N., Giusti, Emanuele Maria, Castelnuovo, Gianluca, Volpi, P., Carimati, G., Lucini, D., Pagani E., Giusti E. (ORCID:0000-0001-5767-8785), Castelnuovo G. (ORCID:0000-0003-2633-9822), Pagani, Eleonora, Gavazzoni, N., Bernardelli, G., Malacarne, M., Solaro, N., Giusti, Emanuele Maria, Castelnuovo, Gianluca, Volpi, P., Carimati, G., Lucini, D., Pagani E., Giusti E. (ORCID:0000-0001-5767-8785), and Castelnuovo G. (ORCID:0000-0003-2633-9822)

Abstract

Chronic stress may represent one of the most important factors that negatively affects the health and performance of athletes. Finding a way to introduce psychological strategies to manage stress in everyday training routines is challenging, particularly in junior teams. We also must consider that a stress management intervention should be regarded as “efficacious” only if its application results in improvement of the complex underlying pathogenetic substratum, which considers mechanistically interrelated factors, such as immunological, endocrine and autonomic controls further to psychological functioning and behavior. In this study, we investigated the feasibility of implementing, in a standard training routine of the junior team of the Italian major soccer league, a stress management program based on mental relaxation training (MRT). We evaluated its effects on stress perception and cardiac autonomic regulation as assessed by means of ANSI, a single composite percentile-ranked proxy of autonomic balance, which is free of gender and age bias, economical, and simple to apply in a clinical setting. We observed that the simple employed MRT intervention was feasible in a female junior soccer team and was associated with a reduced perception of stress, an improved perception of overall health, and a betterment of cardiac autonomic control. This data may corroborate the scientific literature that indicates psychological intervention based on MRT as an efficacious strategy to improve performance, managing negative stress effects on cardiac autonomic control.

Published
2023

11. Neural stem cell transplantation in patients with progressive multiple sclerosis: an open-label, phase 1 study

Author

Genchi, A, Brambilla, E, Sangalli, F, Radaelli, M, Bacigaluppi, M, Furlan, R, Andolfo, A, Drago, D, Magagnotti, C, Scotti, G, Greco, R, Vezzulli, P, Ottoboni, L, Bonopane, M, Capilupo, D, Ruffini, F, Belotti, D, Cabiati, B, Cesana, S, Matera, G, Leocani, L, Martinelli, V, Moiola, L, Vago, L, Panina-Bordignon, P, Falini, A, Ciceri, F, Uglietti, A, Sormani, M, Comi, G, Battaglia, M, Rocca, M, Storelli, L, Pagani, E, Gaipa, G, Martino, G, Genchi, Angela, Brambilla, Elena, Sangalli, Francesca, Radaelli, Marta, Bacigaluppi, Marco, Furlan, Roberto, Andolfo, Annapaola, Drago, Denise, Magagnotti, Cinzia, Scotti, Giulia Maria, Greco, Raffaella, Vezzulli, Paolo, Ottoboni, Linda, Bonopane, Marco, Capilupo, Daniela, Ruffini, Francesca, Belotti, Daniela, Cabiati, Benedetta, Cesana, Stefania, Matera, Giada, Leocani, Letizia, Martinelli, Vittorio, Moiola, Lucia, Vago, Luca, Panina-Bordignon, Paola, Falini, Andrea, Ciceri, Fabio, Uglietti, Anna, Sormani, Maria Pia, Comi, Giancarlo, Battaglia, Mario Alberto, Rocca, Maria A, Storelli, Loredana, Pagani, Elisabetta, Gaipa, Giuseppe, Martino, Gianvito, Genchi, A, Brambilla, E, Sangalli, F, Radaelli, M, Bacigaluppi, M, Furlan, R, Andolfo, A, Drago, D, Magagnotti, C, Scotti, G, Greco, R, Vezzulli, P, Ottoboni, L, Bonopane, M, Capilupo, D, Ruffini, F, Belotti, D, Cabiati, B, Cesana, S, Matera, G, Leocani, L, Martinelli, V, Moiola, L, Vago, L, Panina-Bordignon, P, Falini, A, Ciceri, F, Uglietti, A, Sormani, M, Comi, G, Battaglia, M, Rocca, M, Storelli, L, Pagani, E, Gaipa, G, Martino, G, Genchi, Angela, Brambilla, Elena, Sangalli, Francesca, Radaelli, Marta, Bacigaluppi, Marco, Furlan, Roberto, Andolfo, Annapaola, Drago, Denise, Magagnotti, Cinzia, Scotti, Giulia Maria, Greco, Raffaella, Vezzulli, Paolo, Ottoboni, Linda, Bonopane, Marco, Capilupo, Daniela, Ruffini, Francesca, Belotti, Daniela, Cabiati, Benedetta, Cesana, Stefania, Matera, Giada, Leocani, Letizia, Martinelli, Vittorio, Moiola, Lucia, Vago, Luca, Panina-Bordignon, Paola, Falini, Andrea, Ciceri, Fabio, Uglietti, Anna, Sormani, Maria Pia, Comi, Giancarlo, Battaglia, Mario Alberto, Rocca, Maria A, Storelli, Loredana, Pagani, Elisabetta, Gaipa, Giuseppe, and Martino, Gianvito

Abstract

Innovative pro-regenerative treatment strategies for progressive multiple sclerosis (PMS), combining neuroprotection and immunomodulation, represent an unmet need. Neural precursor cells (NPCs) transplanted in animal models of multiple sclerosis have shown preclinical efficacy by promoting neuroprotection and remyelination by releasing molecules sustaining trophic support and neural plasticity. Here we present the results of STEMS, a prospective, therapeutic exploratory, non-randomized, open-label, single-dose-finding phase 1 clinical trial (NCT03269071, EudraCT 2016-002020-86), performed at San Raffaele Hospital in Milan, Italy, evaluating the feasibility, safety and tolerability of intrathecally transplanted human fetal NPCs (hfNPCs) in 12 patients with PMS (with evidence of disease progression, Expanded Disability Status Scale ≥6.5, age 18–55 years, disease duration 2–20 years, without any alternative approved therapy). The safety primary outcome was reached, with no severe adverse reactions related to hfNPCs at 2-year follow-up, clearly demonstrating that hfNPC therapy in PMS is feasible, safe and tolerable. Exploratory secondary analyses showed a lower rate of brain atrophy in patients receiving the highest dosage of hfNPCs and increased cerebrospinal fluid levels of anti-inflammatory and neuroprotective molecules. Although preliminary, these results support the rationale and value of future clinical studies with the highest dose of hfNPCs in a larger cohort of patients.

Published
2023

12. Italian good practice recommendations on management of persons with Long-COVID

Author

Giuliano, M., Tiple, D., Agostoni, P., Armocida, B., Biardi, L., Bonfigli, A.R., Campana, A., Ciardi, M., Di Marco, F., Floridia, M., Gnerre, P., Grassi, T., Grattagliano, I., Kruger, P., Leonardi, M., Liguori, R., Pagani, E., Perger, E., Pricci, F., Ruggeri, M., Silenzi, A., Spannella, F., Tascini, C., Teté, G., Tosato, M., Vecchi, S., Villa, M., and Onder, G.

Subjects
COVID-19, Long COVID, good clinical practices (GCP), Italy, health care systems, guideline, Public Health, Environmental and Occupational Health, Settore MED/11 - Malattie dell'Apparato Cardiovascolare
Abstract

A significant number of people, following acute SARS-CoV-2 infection, report persistent symptoms or new symptoms that are sustained over time, often affecting different body systems. This condition, commonly referred to as Long-COVID, requires a complex clinical management. In Italy new health facilities specifically dedicated to the diagnosis and care of Long-COVID were implemented. However, the activity of these clinical centers is highly heterogeneous, with wide variation in the type of services provided, specialistic expertise and, ultimately, in the clinical care provided. Recommendations for a uniform management of Long-COVID were therefore needed. Professionals from different disciplines (including general practitioners, specialists in respiratory diseases, infectious diseases, internal medicine, geriatrics, cardiology, neurology, pediatrics, and odontostomatology) were invited to participate, together with a patient representative, in a multidisciplinary Panel appointed to draft Good Practices on clinical management of Long-COVID. The Panel, after extensive literature review, issued recommendations on 3 thematic areas: access to Long-COVID services, clinical evaluation, and organization of the services. The Panel highlighted the importance of providing integrated multidisciplinary care in the management of patients after SARS-CoV-2 infection, and agreed that a multidisciplinary service, one-stop clinic approach could avoid multiple referrals and reduce the number of appointments. In areas where multidisciplinary services are not available, services may be provided through integrated and coordinated primary, community, rehabilitation and mental health services. Management should be adapted according to the patient’s needs and should promptly address possible life-threatening complications. The present recommendations could provide guidance and support in standardizing the care provided to Long-COVID patients.

Published
2023

16. Driving-Related Cognitive Abilities: Evaluating Change over Time in a Sample of Older Adults Undergoing an Assessment Regarding Fitness to Drive

Author

Balzarotti, Stefania, Pagani, Eleonora, Telazzi, Ilaria, Gnerre, Martina, Biassoni, Federica, Balzarotti S. (ORCID:0000-0002-9273-8496), Pagani E., Telazzi I. (ORCID:0000-0001-9929-3349), Gnerre M., Biassoni F. (ORCID:0000-0002-0375-2211), Balzarotti, Stefania, Pagani, Eleonora, Telazzi, Ilaria, Gnerre, Martina, Biassoni, Federica, Balzarotti S. (ORCID:0000-0002-9273-8496), Pagani E., Telazzi I. (ORCID:0000-0001-9929-3349), Gnerre M., and Biassoni F. (ORCID:0000-0002-0375-2211)

Abstract

Advancing age can bring a decline in many driving-related cognitive abilities. For this reason, public safety concern has raised about older adults’ driving performance, and many countries have adopted screening polices to assess older drivers’ fitness to drive. As a result of such assessments, authorities may impose behavioral restrictions to driving. The present study examines whether driving-related cognitive abilities change over time and compares drivers either restricted or not by licensing authorities after the first assessment. The data were derived from a database provided by a service of psychodiagnostic assessment of fitness to drive. This database contained data of people referred for cognitive assessment in order to renew their driving license over the period of 2016 to 2022. The sample included 58 cognitively healthy old drivers (mean age = 82.79, SD = 6.13; 97% men) with a follow-up examination (T2) after a period ranging from one to four years (M = 1.59, SD = 0.72) since the first assessment. Cognitive assessments were conducted using the standard test battery from the Vienna Test System (VTS8; ©Schuhfried GmbH, Mödling, Austria). Decision time variability, motor time, reaction time under stress, and obtaining an overview did not show significant changes between T1 and T2, whereas selective attention and inductive reasoning significantly decreased over time in both groups. Improvements in processing speed consistent with practice effects emerged at T2. Restricted drivers (n = 41) maintained significantly worse performances than unrestricted drivers (n = 17) in the follow-up assessment. Chronological age was associated with higher reaction time under stress, while education showed a buffering role against a decrease in perceptual speed. Overall, although older drivers’ driving-related cognitive abilities remain relatively stable over the short-term, the decline in some cognitive functions deserves reevaluation and monitoring.

Published
2022

17. Co-circulation of SARS-CoV-2 Alpha and Gamma variants in Italy, February and March 2021

Author

Stefanelli, P., Trentini, F., Guzzetta, G., Marziano, V., Mammone, A., Schepisi, M. S., Poletti, P., Grane, C. M., Manica, M., del Manso, M., Andrianou, X., Ajelli, M., Rezza, G., Brusaferro, S., Merler, S., Di Martino, A., Ambrosio, L., Lo Presti, A., Fiore, S., Fabiani, C., Benedetti, E., Di Mario, G., Facchini, M., Puzelli, S., Calzoletti, L., Fontana, S., Venturi, G., Fortuna, C., Marsili, G., Amendola, A., Stuppia, L., Savini, G., Picerno, A., Lopizzo, T., Dell'Edera, D., Minchella, P., Greco, F., Viglietto, G., Atripaldi, L., Limone, A., D'Agaro, P., Licastro, D., Pongolini, S., Sambri, V., Dirani, G., Zannoli, S., Affanni, P., Colucci, M. E., Capobianchi, M. R., Icardi, G., Bruzzone, B., Lillo, F., Orsi, A., Pariani, E., Baldanti, F., Molecolare, U. V., Gismondo, M. R., Maggi, F., Caruso, A., Ceriotti, F., Boniotti, M. B., Barbieri, I., Bagnarelli, P., Menzo, S., Garofalo, S., Scutella, M., Pagani, E., Collini, L., Ghisetti, V., Brossa, S., Ru, G., Bozzetta, E., Chironna, M., Parisi, A., Rubino, S., Serra, C., Piras, G., Coghe, F., Vitale, F., Tramuto, F., Scalia, G., Palermo, C. I., Mancuso, G., Pollicino, T., Di Gaudio, F., Vullo, S., Reale, S., Cusi, M. G., Rossolini, G. M., Pistello, M., Mencacci, A., Camilloni, B., Severini, S., Di Benedetto, M., Terregino, C., Monne, I., Biscaro, V., Stefanelli P, Trentini F, Guzzetta G, Marziano V, Mammone A, Sane Schepisi M, Poletti P, Molina Grané C, Manica M, Del Manso M, Andrianou X, Ajelli M, Rezza G, Brusaferro S, Merler S, Vitale F, Tramuto F, Stefanelli P., Trentini F., Guzzetta G., Marziano V., Mammone A., Sane Schepisi M., Poletti P., Molina Grane C., Manica M., Del Manso M., Andrianou X., Ajelli M., Rezza G., Brusaferro S., Merler S., Sambri V, and (membro del COVID-19 National Microbiology Surveillance Study Group)

Subjects
Epidemiology, SARS-CoV-2, Public Health, Environmental and Occupational Health, COVID-19, co-circulation, lineage, SARS-CoV-2 variant of concern, transmissibility, Humans, Italy, Models, Theoretical, Settore MED/42 - Igiene Generale E Applicata, SARS-COV-2 VARIANT OF CONCERN, CO-CIRCULATION, LINEAGE, TRANSMISSIBILITY, HUMANS, ITALY, MODELS, THEORETICAL, COVID-19, SARS-COV-2, Theoretical, Models, Virology, Human
Abstract

Background Several SARS-CoV-2 variants of concern (VOC) have emerged through 2020 and 2021. There is need for tools to estimate the relative transmissibility of emerging variants of SARS-CoV-2 with respect to circulating strains. Aim We aimed to assess the prevalence of co-circulating VOC in Italy and estimate their relative transmissibility. Methods We conducted two genomic surveillance surveys on 18 February and 18 March 2021 across the whole Italian territory covering 3,243 clinical samples and developed a mathematical model that describes the dynamics of co-circulating strains. Results The Alpha variant was already dominant on 18 February in a majority of regions/autonomous provinces (national prevalence: 54%) and almost completely replaced historical lineages by 18 March (dominant across Italy, national prevalence: 86%). We found a substantial proportion of the Gamma variant on 18 February, almost exclusively in central Italy (prevalence: 19%), which remained similar on 18 March. Nationally, the mean relative transmissibility of Alpha ranged at 1.55–1.57 times the level of historical lineages (95% CrI: 1.45–1.66). The relative transmissibility of Gamma varied according to the assumed degree of cross-protection from infection with other lineages and ranged from 1.12 (95% CrI: 1.03–1.23) with complete immune evasion to 1.39 (95% CrI: 1.26–1.56) for complete cross-protection. Conclusion We assessed the relative advantage of competing viral strains, using a mathematical model assuming different degrees of cross-protection. We found substantial co-circulation of Alpha and Gamma in Italy. Gamma was not able to outcompete Alpha, probably because of its lower transmissibility.

Published
2022

18. Characteristics of SARS-CoV-2 variants of concern B.1.1.7, B.1.351 or P.1: data from seven EU/EEA countries, weeks 38/2020 to 10/2021

Author

Funk T., Pharris A., Spiteri G., Bundle N., Melidou A., Carr M., Gonzalez G., Garcia-Leon A., Crispie F., O'Connor L., Murphy N., Mossong J., Vergison A., Wienecke-Baldacchino A. K., Abdelrahman T., Riccardo F., Stefanelli P., Di Martino A., Bella A., Lo Presti A., Casaca P., Moreno J., Borges V., Isidro J., Ferreira R., Gomes J. P., Dotsenko L., Suija H., Epstein J., Sadikova O., Sepp H., Ikonen N., Savolainen-Kopra C., Blomqvist S., Mottonen T., Helve O., Gomes-Dias J., Adlhoch C., Macori G., Russell L., Yandle Z., Bennett C., O'Byrne E., Murphy A., Tuite G., Conroy A., Duffy M., Morley U., Keoghan B., Ford I., Kennedy M., McDonnell S., Flynn A., Clarke A., Crowley A., Martin C., Kelly E., Foxton J., Hare D., Dunford L., Connell J., Moran J., Dean J., Fanning S., Rajan L., De Gascun C., Kenny J., Cotter P., Walsh C., Lawton E., Fitzpatrick A., Mullins E., Della Bartola M., McCabe M., Stapleton P., Meaney C., Fanning L., Prentice M., MacSharry J., Dempsey C., Mallon P., Leon A., Chaturvedi A., Coughlan S., McAndrew G., Reddington K., Walsh F., Fitzpatrick D., Smyth C., O'Dwyer T., Chambers T., Clarke L., Jebb D., Klopp J., Kavanagh D., Haslam K., Buckley P., Lemass K., Fitzpatrick F., Burns K., Cafferkey J., Richmond A., Foley M., Sanchez-Morgado J., Chalapati S., Pinnamaneni N., Crosbie C., Limbachiya D., Tinago W., Garcia Leon A. A., Miles S., Alalwan D., Negi R., Macken A., Feeney E., Kenny G., McCann K., Kelly N., Blair M., McCann R., Kenny C., O'Brion C., Waqas S., Savinelli S., Doran P., Bracken T., Varghese P., Lambert J. S., Cotter A., Muldoon E., Sheehan G., McGinty T., Lambert J., Green S., Leamy K., de Barra E., McConkey S., Kelly C., Horgan M., Sadlier C., Yousif O., O'Donnell J., Fitzgerald M., Petty-Saphon N., Cuddihy J., Fiore S., Fabiani C., Benedetti E., Di Mario G., Facchini M., Puzelli S., Calzoletti L., Fontana S., Venturi G., Fortuna C., Marsili G., Amendola A., Stuppia L., Savini G., Picerno A., Lopizzo T., Dell'Edera D., Minchella P., Greco F., Mauro M. V., Viglietto G., Atripaldi L., Limone A., D'Agaro P., Licastro D., Marcello A., Capobianchi M. R., Icardi G., Bruzzone B., Lillo F., Orsi A., Pariani E., Baldanti F., Gismondo M. R., Maggi F., Caruso A., Ceriotti F., Boniotti B., Bagnarelli P., Garofalo S., Scutella M., Pagani E., Collini L., Ghisetti V., Ru G., Chironna M., Parisi A., Rubino S., Serra C., Piras G., Coghe F., Vitale F., Tramuto F., Scalia G., Palermo C. I., Mancuso G., Di Gaudio F., Vullo S., Reale S., Cusi M. G., Rossolini G. M., Pistello M., Mencacci A., Camilloni B., Severini S., Di Benedetto M., Calogero T., Monne I., Biscaro V., COVID Study Groups, Funk T., Pharris A., Spiteri G., Bundle N., Melidou A., Carr M., Gonzalez G., Garcia-Leon A., Crispie F., O'Connor L., Murphy N., Mossong J., Vergison A., Wienecke-Baldacchino A.K., Abdelrahman T., Riccardo F., Stefanelli P., Di Martino A., Bella A., Lo Presti A., Casaca P., Moreno J., Borges V., Isidro J., Ferreira R., Gomes J.P., Dotsenko L., Suija H., Epstein J., Sadikova O., Sepp H., Ikonen N., Savolainen-Kopra C., Blomqvist S., Mottonen T., Helve O., Gomes-Dias J., Adlhoch C., Macori G., Russell L., Yandle Z., Bennett C., O'Byrne E., Murphy A., Tuite G., Conroy A., Duffy M., Morley U., Keoghan B., Ford I., Kennedy M., McDonnell S., Flynn A., Clarke A., Crowley A., Martin C., Kelly E., Foxton J., Hare D., Dunford L., Connell J., Moran J., Dean J., Fanning S., Rajan L., De Gascun C., Kenny J., Cotter P., Walsh C., Lawton E., Fitzpatrick A., Mullins E., Della Bartola M., McCabe M., Stapleton P., Meaney C., Fanning L., Prentice M., MacSharry J., Dempsey C., Mallon P., Leon A., Chaturvedi A., Coughlan S., McAndrew G., Reddington K., Walsh F., Fitzpatrick D., Smyth C., O'Dwyer T., Chambers T., Clarke L., Jebb D., Klopp J., Kavanagh D., Haslam K., Buckley P., Lemass K., Fitzpatrick F., Burns K., Cafferkey J., Richmond A., Foley M., Sanchez-Morgado J., Chalapati S., Pinnamaneni N., Crosbie C., Limbachiya D., Tinago W., Garcia Leon A.A., Miles S., Alalwan D., Negi R., Macken A., Feeney E., Kenny G., McCann K., Kelly N., Blair M., McCann R., Kenny C., O'Brion C., Waqas S., Savinelli S., Doran P., Bracken T., Varghese P., Lambert J.S., Cotter A., Muldoon E., Sheehan G., McGinty T., Lambert J., Green S., Leamy K., de Barra E., McConkey S., Kelly C., Horgan M., Sadlier C., Yousif O., O'Donnell J., Fitzgerald M., Petty-Saphon N., Cuddihy J., Fiore S., Fabiani C., Benedetti E., Di Mario G., Facchini M., Puzelli S., Calzoletti L., Fontana S., Venturi G., Fortuna C., Marsili G., Amendola A., Stuppia L., Savini G., Picerno A., Lopizzo T., Dell'Edera D., Minchella P., Greco F., Mauro M.V., Viglietto G., Atripaldi L., Limone A., D'Agaro P., Licastro D., Marcello A., Capobianchi M.R., Icardi G., Bruzzone B., Lillo F., Orsi A., Pariani E., Baldanti F., Gismondo M.R., Maggi F., Caruso A., Ceriotti F., Boniotti B., Bagnarelli P., Garofalo S., Scutella M., Pagani E., Collini L., Ghisetti V., Ru G., Chironna M., Parisi A., Rubino S., Serra C., Piras G., Coghe F., Vitale F., Tramuto F., Scalia G., Palermo C.I., Mancuso G., Di Gaudio F., Vullo S., Reale S., Cusi M.G., Rossolini G.M., Pistello M., Mencacci A., Camilloni B., Severini S., Di Benedetto M., Calogero T., Monne I., Biscaro V., and COVID Study Groups

Subjects
Infecções Respiratórias, 2019-20 coronavirus outbreak, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Critical Care, Epidemiology, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), variants of concern, Settore MED/42 - Igiene Generale E Applicata, 03 medical and health sciences, 0302 clinical medicine, Virology, Internal medicine, Medicine, Humans, Intensive care admission, 030212 general & internal medicine, COVID-19, Europe, SARS-CoV-2, surveillance, Surveillance, business.industry, 030503 health policy & services, Public Health, Environmental and Occupational Health, Odds ratio, Confidence interval, Variants of Concern, COVID-19, Europe, SARS-CoV-2, surveillance, variants of concern, 0305 other medical science, business, Rapid Communication, Human
Abstract

COVID study groups - PORTUGAL: Portuguese Laboratory Network for the Diagnosis of COVID-19 and Public Health Department of the Health Administrative Regions, Physicians that provided data and samples from suspected cases and SARS-CoV-2 genetic characterization. INSA laboratory team for the diagnosis of SARS-CoV-2. Algarve Biomedical Center and Unilabs. We compared 19,207 cases of SARS-CoV-2 variant B.1.1.7/S gene target failure (SGTF), 436 B.1.351 and 352 P.1 to non-variant cases reported by seven European countries. COVID-19 cases with these variants had significantly higher adjusted odds ratios for hospitalisation (B.1.1.7/SGTF: 1.7, 95% confidence interval (CI): 1.0-2.9; B.1.351: 3.6, 95% CI: 2.1-6.2; P.1: 2.6, 95% CI: 1.4-4.8) and B.1.1.7/SGTF and P.1 cases also for intensive care admission (B.1.1.7/SGTF: 2.3, 95% CI: 1.4-3.5; P.1: 2.2, 95% CI: 1.7-2.8). ECDC internal funds. The ICSC and the AIID Cohort are supported by Science Foundation Ireland under the Science Foundation Ireland, Enterprise Ireland, IDA Ireland COVID-19 Rapid Response Funding Call (Grant number: COVID-RRC 20/COV/0103 and COVID-RRC 20/COV/0305). info:eu-repo/semantics/publishedVersion

Published
2021

20. MRI quality control for the Italian Neuroimaging Network Initiative: moving towards big data in multiple sclerosis

Author

Storelli, L., Rocca, M. A., Pantano, P., Pagani, E., De Stefano, N., Tedeschi, G., Zaratin, P., Filippi, M., Valsasina, P., Sibilia, M., Preziosa, P., Gallo, A., Bisecco, A., Docimo, R., Petsas, N., Ruggieri, S., Tommasin, S., Stromillo, M. L., Brocci, R. T., Storelli, L, Rocca, Ma, Pantano, P, Pagani, E, De Stefano, N, Tedeschi, G, Zaratin, P, Filippi, M, on behalf of the INNI, Network, Storelli, L., Rocca, M. A., Pantano, P., Pagani, E., De Stefano, N., Tedeschi, G., Zaratin, P., Filippi, M., Valsasina, P., Sibilia, M., Preziosa, P., Gallo, A., Bisecco, A., Docimo, R., Petsas, N., Ruggieri, S., Tommasin, S., Stromillo, M. L., and Brocci, R. T.

Subjects
Adult, Big Data, Male, Quality Control, Multiple Sclerosis, Datasets as Topic, Neuroimaging, Fluid-attenuated inversion recovery, White matter, Big data, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Magnetic resonance imaging (MRI), 030212 general & internal medicine, Neuroradiology, business.industry, Multiple sclerosis, Isocenter, Middle Aged, medicine.disease, Magnetic Resonance Imaging, Multiple sclerosis (MS), Image contrast, Italian Neuroimaging Network Initiative (INNI), Female, Italy, medicine.anatomical_structure, Neurology, Neurology (clinical), Nuclear medicine, business, 030217 neurology & neurosurgery
Abstract

The Italian Neuroimaging Network Initiative (INNI) supports the creation of a repository, where MRI, clinical, and neuropsychological data from multiple sclerosis (MS) patients and healthy controls are collected from Italian Research Centers with internationally recognized expertise in MRI applied to MS. However, multicenter MRI data integration needs standardization and quality control (QC). This study aimed to implement quantitative measures for characterizing the standardization and quality of MRI collected within INNI. MRI scans of 423 MS patients, including 3D T1- and T2-weighted, were obtained from INNI repository (from Centers A, B, C, and D). QC measures were implemented to characterize: (1) head positioning relative to the magnet isocenter; (2) intensity inhomogeneity; (3) relative image contrast between brain tissues; and (4) image artefacts. Centers A and D showed the most accurate subject positioning within the MR scanner (median z-offsets = − 2.6 ± 1.7cm and − 1.1 ± 2cm). A low, but significantly different, intensity inhomogeneity on 3D T1-weighted MRI was found between all centers (p < 0.05), except for Centers A and C that showed comparable image bias fields. Center D showed the highest relative contrast between gray and normal appearing white matter (NAWM) on 3D T1-weighed MRI (0.63 ± 0.04), while Center B showed the highest relative contrast between NAWM and MS lesions on FLAIR (0.21 ± 0.06). Image artefacts were mainly due to brain movement (60%) and ghosting (35%). The implemented QC procedure ensured systematic data quality assessment within INNI, thus making available a huge amount of high-quality MRI to better investigate pathophysiological substrates and validate novel MRI biomarkers in MS.

Published
2019

21. Co-circulation of the two influenza B lineages during 13 consecutive influenza surveillance seasons in Italy, 2004-2017

Author

Puzelli S., Martino A. D., Facchini M., Fabiani C., Calzoletti L., Mario G. D., Palmieri A., Affanni P., Camilloni B., Chironna M., D'Agaro P., Giannecchini S., Pariani E., Serra C., Rizzo C., Bella A., Donatelli I., Castrucci M. R., Ansaldi F., Arvia R., Azzi A., Bagnarelli P., Baldanti F., Capobianchi M. R., Castaldi S., Colucci M. E., Galli C., Ghisetti V., Orsi A., Pagani E., Palu G., Sanguinetti M., Smeraglia R., Tramuto F., Vitale F., Puzelli S, Di Martino A, Facchini M, Fabiani C, Calzoletti L, Di Mario G, Palmieri A, Affanni P, Camilloni B, Chironna M, D'Agaro P, Giannecchini S, Pariani E, Serra C, Rizzo C, Bella A, Donatelli I, Castrucci MR, Ansaldi F, Arvia R, Azzi A, Bagnarelli P, Baldanti F, Capobianchi MR, Castaldi S, Colucci ME, Galli C, Ghisetti V, Orsi A, Pagani E, Palù G, Sanguinetti M, Smeraglia R, Tramuto F, Vitale F, Puzelli, S., Martino, A. D., Facchini, M., Fabiani, C., Calzoletti, L., Mario, G. D., Palmieri, A., Affanni, P., Camilloni, B., Chironna, M., D'Agaro, P., Giannecchini, S., Pariani, E., Serra, C., Rizzo, C., Bella, A., Donatelli, I., Castrucci, M. R., Ansaldi, F., Arvia, R., Azzi, A., Bagnarelli, P., Baldanti, F., Capobianchi, M. R., Castaldi, S., Colucci, M. E., Galli, C., Ghisetti, V., Orsi, A., Pagani, E., Palu, G., Sanguinetti, M., Smeraglia, R., Tramuto, F., and Vitale, F.

Subjects
0301 basic medicine, Influenza virological surveillance, Influenza B virus, Victoria lineage, Yamagata lineage, Vaccine match, medicine.medical_specialty, Lineage (evolution), Population, Influenza B viru, Hemagglutinin (influenza), Vaccine match, Settore MED/42 - Igiene Generale E Applicata, Virus, lcsh:Infectious and parasitic diseases, 03 medical and health sciences, 0302 clinical medicine, Medical microbiology, Immunity, Retrospective Studie, Influenza, Human, medicine, Humans, lcsh:RC109-216, 030212 general & internal medicine, education, Phylogeny, Retrospective Studies, education.field_of_study, biology, Strain (biology), Victoria lineage, Influenza B virus, Influenza virological surveillance, Italy, Yamagata lineage, Virology, Influenza, 030104 developmental biology, Infectious Diseases, Parasitology, Influenza Vaccines, Influenza virological surveillance, Influenza B virus, Victoria lineage, Yamagata lineage, Vaccine match, Italy, Epidemiological Monitoring, biology.protein, Seasons, Influenza Vaccine, Research Article, Human
Abstract

BackgroundSince 1985, two antigenically distinct lineages of influenza B viruses (Victoria-like and Yamagata-like) have circulated globally. Trivalent seasonal influenza vaccines contain two circulating influenza A strains but a single B strain and thus provide limited immunity against circulating B strains of the lineage not included in the vaccine. In this study, we describe the characteristics of influenza B viruses that caused respiratory illness in the population in Italy over 13 consecutive seasons of virological surveillance, and the match between the predominant influenza B lineage and the vaccine B lineage, in each season.MethodsFrom 2004 to 2017, 26,886 laboratory-confirmed influenza cases were registered in Italy, of which 18.7% were type B. Among them, the lineage of 2465 strains (49%) was retrieved or characterized in this study by a real-time RT-PCR assay and/or sequencing of the hemagglutinin (HA) gene.ResultsCo-circulation of both B lineages was observed each season, although in different proportions every year. Overall, viruses of B/Victoria and B/Yamagata lineages caused 53.3 and 46.7% of influenza B infections, respectively. A higher proportion of infections with both lineages was detected in children, and there was a declining frequency of B/Victoria detections with age. A mismatch between the vaccine and the predominant influenza B lineage occurred in eight out of thirteen influenza seasons under study. Considering the seasons when B accounted for > 20% of all laboratory-confirmed influenza cases, a mismatch was observed in four out of six seasons. Phylogenetic analysis of the HA1 domain confirmed the co-circulation of both lineages and revealed a mixed circulation of distinct evolutionary viral variants, with different levels of match to the vaccine strains.ConclusionsThis study contributes to the understanding of the circulation of influenza B viruses in Italy. We found a continuous co-circulation of both B lineages in the period 2004–2017, and determined that children were particularly vulnerable to Victoria-lineage influenza B virus infections. An influenza B lineage mismatch with the trivalent vaccine occurred in about two-thirds of cases.

Published
2019

25. Placebo-controlled trial of oral laquinimod in multiple sclerosis: MRI evidence of an effect on brain tissue damage

Author

Filippi, Massimo, Rocca, Maria A, Pagani, Elisabetta, De Stefano, Nicola, Jeffery, Douglas, Kappos, Ludwig, Montalban, Xavier, Boyko, Alexei N, Comi, Giancarlo, Filippi, M, Rocca, MA, Absinta, M, Longoni, G, Galantucci, S., Pagani, E, DallʼOcchio, L., Misci, P., Petrolini, M., Sala, S., Vuotto, R., Comi, G, Boyko, A, Filippi, M, Jeffery, D, Kappos, L, Montalban, x, McFarland, H, Bauer, K, Galay, N, Weber, J, Franta, C, Lampi, C, Shotekov, P, Bozhinov, S, Deleva, N, Haralanov, L, Ivanova Hristova, S, Petrov, I, Milanov, I, Kremenchutzky, M, Rabinovitch, H, Ayotte, C, GrandMaison, F, Lamontagne, A, Leckey, R, Lee, L, Hradilek, P, Kanovsky, P, Gross-Paju, K, Taba, P, Vermersch, P, Rumbach, L, Clavelou, P, Confavreux, C, Pelletier, J, Edan, G, Shakarishvili, R, Tsiskaridze, A, Becker, E, Chan, A, Eggers, J, Haas, J, Heesen, C, Heidenreich, F, Koehler, J., Koelmel, H W, Linker, R, Oschmann, P, Rauer, S, Maschke, M, Mueller, M, Reifschneider, G, Wildemann, B, Steinbrecher, A, Tumani, H, Ziebold, U, Ziemssen, T, Kanya, J, Jakab, G, Valikovics, A, Bartos, L, Karussis, D, Rawashdeh, H, Karni, A, Chapman, J, Comi, G, Caputo, D, Centonze, D, Cottone, S, Ghezzi, A, Maimone, D, Montanari, E, Plewnia, K, Scarpini, E, Metra, M, Rastenyte, D, Sceponaviciute, S, De Jong, B, Frequin, S, Visser, L, Zwanikken, C., Selmaj, K, Blaszczyk, B., Wajgt, A, Nowak, R, Jasinska, E, Brola, W, Sobkowiak-Osinska, M, Kapustecki, J, Zaborski, J, Panea, CA, Simu, M, Bulboaca, AC, Balasa, RI, Carciumaru, N, Boyko, A, Skoromets, A, Stolyarov, I, Perfilyev, S, Odinak, M, Amelina, O, Malkova, N, Gustov, A, Volkova, L, Shutov, A, Drulovic, J, Vojinovic, S, Montalban, Arroyo, R, Saiz Hinarejos, A, Brieva, L, Ramio, L, Meca Lallana, J, Amigo Jorrin, MdC, Prieto, JM, Munoz Gracia, D, Aladro, Y, Coret, F, Escartin, A, Diez Tejedor, E, Hillert, J, Olddon, T, Martin, C, Idiman, E, Sharrack, B, Giovannoni, G, Young, C, Nehrych, T, Moskovko, S, Kobys, T, AIpatov, Loganovskyi, K, AbouZeid, N, Jeffery, D, Dihenia, B, Carpenter, A, Flitman, S, Gazda, S, Goodman, A, Green, B, Gupta, A, Herbert, J, Hughes, B, Jacobs, A, Khatri, B, Lynch, S, Miller, T, Markowitz, C, Murray, R, Pardo, G, Parry, G, Gottschalk, G, Rossman, H, Scaberry, S, Thomas, F, Turel, A, Anderson, G, CTwyman, and Wyn, D

Published
2014
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32. Group A rotavirus surveillance before vaccine introduction in Italy, September 2014 to August 2017

Author

Ianiro G, Micolano R, Di Bartolo I, Scavia G, Monini M, Pagani E, Moroder L, Aschbacher R, Binda S, Pellegrinelli L, Farina C, Mignacca A, Bruno R, Vuolo A, Peyronel, Contarini MN, Zanella F, Bordignon G, Zoppelletto M, Affanni P, Lazzarotto T, Chiereghin, Recanatini C, D’Errico M, Camilloni, Concato C, Onori M, Valentini D, Campagnuolo, Mungiguerra M, Chironna M, Morea A, Castiglia P., Ianiro G, Micolano R, Di Bartolo I, Scavia G, Monini M, and Pagani E, Moroder L, Aschbacher R, Binda S, Pellegrinelli L, Farina C, Mignacca A, Bruno R, Vuolo A, Peyronel, Contarini MN, Zanella F, Bordignon G, Zoppelletto M, Affanni P, Lazzarotto T, Chiereghin, Recanatini C, D’Errico M, Camilloni, Concato C, Onori M, Valentini D, Campagnuolo, Mungiguerra M, Chironna M, Morea A, Castiglia P.

Subjects
0301 basic medicine, group A rotavirus, genotype, Settore MED/42 - Igiene Generale e Applicata, Reassortment, molecular methods, medicine.disease_cause, Group A, group A rotaviru, 0302 clinical medicine, Rotavirus, Genotype, Epidemiology, molecular method, 030212 general & internal medicine, acute gastroenteritis, Child, Antigens, Viral, infection control, Gastroenteritis, epidemiology, human, Italy, rotavirus, rotavirus infection, statistics, surveillance, viral infections, Child, Preschool, RNA, Viral, acute gastroenteriti, medicine.medical_specialty, statistic, Biology, Rotavirus Infections, 03 medical and health sciences, Virology, medicine, Humans, Routine screening, rotaviru, Public Health, Environmental and Occupational Health, Infant, Sequence Analysis, DNA, Acute gastroenteritis, Vaccine introduction, 030104 developmental biology, Sentinel Surveillance
Abstract

Introduction Group A rotaviruses (RVA) are the leading cause of acute gastroenteritis (AGE) in young children, causing ca 250,000 deaths worldwide, mainly in low-income countries. Two proteins, VP7 (glycoprotein, G genotype) and VP4 (protease-sensitive protein, P genotype), are the basis for the binary RVA nomenclature. Although 36 G types and 51 P types are presently known, most RVA infections in humans worldwide are related to five G/P combinations: G1P[8], G2P[4], G3P[8], G4P[8], G9P[8]. Aim This study aimed to characterise the RVA strains circulating in Italy in the pre-vaccination era, to define the trends of circulation of genotypes in the Italian paediatric population. Methods Between September 2014 and August 2017, after routine screening in hospital by commercial antigen detection kit, 2,202 rotavirus-positive samples were collected in Italy from children hospitalised with AGE; the viruses were genotyped following standard European protocols. Results This 3-year study revealed an overall predominance of the G12P[8] genotype (544 of 2,202 cases; 24.70%), followed by G9P[8] (535/2,202; 24.30%), G1P[8] (459/2,202; 20.84%) and G4P[8] (371/2,202; 16.85%). G2P[4] and G3P[8] genotypes were detected at low rates (3.32% and 3.09%, respectively). Mixed infections accounted for 6.49% of cases (143/2,202), uncommon RVA strains for 0.41% of cases (9/2,202). Conclusions The emergence of G12P[8] rotavirus in Italy, as in other countries, marks this genotype as the sixth most common human genotype. Continuous surveillance of RVA strains and monitoring of circulating genotypes are important for a better understanding of rotavirus evolution and genotype distribution, particularly regarding strains that may emerge from reassortment events.

Published
2019

35. Measurement of Whole-Brain and Gray Matter Atrophy in Multiple Sclerosis: Assessment with MR Imaging

Author

Storelli, L, Rocca, M, Pagani, E, Van Hecke, W, Horsfield, M, De Stefano, N, Rovira, A, Sastre-Garriga, J, Palace, J, Sima, D, Smeets, D, Filippi, M, Group, Magnims Study, Storelli, Loredana, Rocca, Maria A., Pagani, Elisabetta, Van Hecke, Wim, Horsfield, Mark A., De Stefano, Nicola, Rovira, Alex, Sastre-Garriga, Jaume, Palace, Jacqueline, Sima, Diana, Smeets, Dirk, and Filippi, Massimo

Subjects
Adult, Male, Radiology, Nuclear Medicine and Imaging, medicine.medical_specialty, Multiple Sclerosis, Reproducibility of Result, Gray (unit), 030218 nuclear medicine & medical imaging, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Software, Atrophy, Multiple Sclerosi, Image Processing, Computer-Assisted, medicine, Humans, Radiology, Nuclear Medicine and imaging, Gray Matter, Cross-Sectional Studie, business.industry, Multiple sclerosis, Reproducibility of Results, Brain, Middle Aged, medicine.disease, Magnetic Resonance Imaging, Mr imaging, Cross-Sectional Studies, Female, Radiology, business, 030217 neurology & neurosurgery, Human
Abstract

Purpose To compare available methods for whole-brain and gray matter (GM) atrophy estimation in multiple sclerosis (MS) in terms of repeatability (same magnetic resonance [MR] imaging unit) and reproducibility (different system/field strength) for their potential clinical applications. Materials and Methods The softwares ANTs-v1.9, CIVET-v2.1, FSL-SIENAX/SIENA-5.0.1, Icometrix-MSmetrix-1.7, and SPM-v12 were compared. This retrospective study, performed between March 2015 and March 2017, collected data from (a) eight simulated MR images and longitudinal data (2 weeks) from 10 healthy control subjects to assess the cross-sectional and longitudinal accuracy of atrophy measures, (b) test-retest MR images in 29 patients with MS acquired within the same day at different imaging unit field strengths/manufacturers to evaluate precision, and (c) longitudinal data (1 year) in 24 patients with MS for the agreement between methods. Tissue segmentation, image registration, and white matter (WM) lesion filling were also evaluated. Multiple paired t tests were used for comparisons. Results High values of accuracy (0.87-0.97) for whole-brain and GM volumes were found, with the lowest values for MSmetrix. ANTs showed the lowest mean error (0.02%) for whole-brain atrophy in healthy control subjects, with a coefficient of variation of 0.5%. SPM showed the smallest mean error (0.07%) and coefficient of variation (0.08%) for GM atrophy. Globally, good repeatability (P > .05) but poor reproducibility (P < .05) were found for all methods. WM lesion filling technique mainly affected ANTs, MSmetrix, and SPM results (P < .05). Conclusion From this comparison, it would be possible to select a software for atrophy measurement, depending on the requirements of the application (research center, clinical trial) and its goal (accuracy and repeatability or reproducibility). An improved reproducibility is required for clinical application. © RSNA, 2018 Online supplemental material is available for this article.

Published
2018

47. Interim 2017/18 influenza seasonal vaccine effectiveness: combined results from five European studies

Author

Rondy, M, Kissling, E, Emborg, Hd, Gherasim, A, Pebody, R, Trebbien, R, Pozo, F, Larrauri, A, Mcmenamin, J, Valenciano, M, Kaic, B, Kurecic Filipovic, S, Visekruna-Vucina, V, Pem Novosel, I, Lovric, Z, Petrović, G, Krause, Tg, Fischer, Tk, Lina, B, Falchi, Antonella, Vilcu, Am, Souty, C, Blanchon, T, van der Werf, S, Enouf, V, Behillil, S, Valette, M, Bernard-Stoecklin, S, Lévy-Bruhl, D, Launay, O, Loulergue, P, Lenzi, N, Lesieur, Z, L'Honneur, As, Galtier, F, Agostini, C, Serrand, C, Merle, C, Foulongne, V, Vanhems, P, Lainé, F, Lagathu, G, Carrat, F, Buda, S, Preuss, U, Prahm, K, Schweiger, B, Wedde, M, Heider, A, Martin, M, Biere, B, Duerrwald, R, Domegan, L, Coughlan, L, O’Donnell, J, Joyce, M, Collins, C, Dunford, L, Martin Moran, Josè Manuel, Tuite, G, Duffy, M, Connell, J, de Gascun, C, Rizzo, C, Bella, A, Alfonsi, V, Castrucci, Mr, Puzelli, S, Pagani, E, Ghisetti, V, Pariani, E, Baldanti, F, Palù, G, D'Agaro, P, Ansaldi, F, Affanni, P, Rossolini, Gm, Camilloni, B, Bagnarelli, P, Sanguinetti, M, Atripaldi, L, Chironna, M, Serra, C, Vitale, F, Germinario, C, Orsi, A, Manini, I, Montomoli, E, Napoli, C, Orsi, Gb, Casado, I, Castilla, J, Fernandino, L, Martínez-Baz, I, Ezpeleta, G, Navascués, A, Pérez-García, A, Aguinaga, A, Ezpeleta, C, Meijer, A, van den Brink, S, van der Hoek, W, Goderski, G, Wijsman, L, Bagheri, M, Dijkstra, F, de Lange, M, Marzec, T, Overduin, P, Teirlinck, A, Wentink, E, Donker, G, Marbus, S, van Gageldonk- Lafeber, R, Schneeberger, P, van Oosterheert JJ, Schweitzer, V, Groeneveld, G, Nunes, B, RIBEIRO MACHADO, CARLOS AUGUSTO, Rodrigues, Ap, DIAZ GOMEZ, MARIA VANESSA, Kislaya, I, Guiomar, R, Pechirra, P, Cristóvão, P, Costa, I, Panarra, A, Côrte-Real, R, Poças, J, João Peres, M, García Comas, L, Marisquerena, Mei, Galán, Jc, Folgueira, D, Gonzalez Carril, F, Sancho Martínez, R, Cilla, G, García Cenoz, M, Quiñones Rubio, C, Martinez Ochoa, E, Blasco, M, Gimenez Duran, J, Vanrell, Jm, Reina, J, Castrillejo, D, Gherasim, Am, Delgado, C, Oliva, J, Casas, I, García, M, Latorre, M, Milagro Beamonte AM, Martinez Sapiñ, A, Oribe Amores, M, Aizpurúa, A, Montes, Marco, Zakikhany, K, Brytting, M, Wiman, Å, Carnahan, A, Warburton, F, Djennad, A, Ellis, J, Andrews, N, Marques, D, Cottrell, S, Reynolds, Alexander, Gunson, R, Galiano, M, Lackenby, A, Robertson, C, O’Doherty, M, Sinnathamby, M, Yonova, I, Moore, C, Sartaj, M, de Lusignan, S, Zambon, M, Moren, A, Penttinen, P., Unión Europea, EpiConcept [Paris], Statens Serum Institut [Copenhagen], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Pathogénèse et contrôle des infections chroniques (PCCI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre Hospitalier Universitaire de Montpellier (CHU Montpellier ), Rondy M., Kissling E., Emborg H.-D., Gherasim A., Pebody R., Trebbien R., Pozo F., Larrauri A., McMenamin J., Valenciano M., Kaic B., Filipovic S.K., Visekruna-Vucina V., Novosel I.P., Lovric Z., Petrovic G., Krause T.G., Fische T.K., Lina B., Falchi A., Vilcu A.-M., Souty C., Blanchon T., van der Werf S., Enouf V., Behillil S., Valette M., Bernard-Stoecklin S., Levy-Bruhl D., Launay O., Loulergue P., Lenzi N., Lesieur Z., L'Honneur A.-S., Galtier F., Agostini C., Serrand C., Merle C., Foulongne V., Vanhems P., Laine F., Lagathu G., Carrat F., Buda S., Preuss U., Prahm K., Schweiger B., Wedde M., Heider A., Martin M., Biere B., Duerrwald R., Domegan L., Coughlan L., O'Donnell J., Joyce M., Collins C., Dunford L., Moran J., Tuite G., Duffy M., Connell J., de Gascun C., Rizzo C., Bella A., Alfonsi V., Castrucci M.R., Puzelli S., Pagani E., Ghisetti V., Pariani E., Baldanti F., Palu G., D'Agaro P., Ansaldi F., Affanni P., Rossolini G.M., Camilloni B., Bagnarelli P., Sanguinetti M., Atripaldi L., Chironna M., Serra C., Vitale F., Germinario C., Orsi A., Manini I., Montomoli E., Napoli C., Orsi G.B., Casado I., Castilla J., Fernandino L., Martinez-Baz I., Ezpeleta G., Navascues A., Perez-Garcia A., Aguinaga A., Ezpeleta C., Meijer A., van den Brink S., van der Hoek W., Goderski G., Wijsman L., Bagheri M., Dijkstra F., de Lange M., Marzec T., Overduin P., Teirlinck A., Wentink E., Donker G., Marbus S., van Gageldonk-Lafeber R., Schneeberger P., van Oosterheert J.J., Schweitzer V., Groeneveld G., Nunes B., Machado A., Rodrigues A.P., Gomez V., Kislaya I., Guiomar R., Pechirra P., Cristovao P., Costa I., Panarra A., Corte-Real R., Pocas J., Peres M.J., Comas L.G., Marisquerena M.E.I., Galan J.C., Folgueira M.D., Carril F.G., Martinez R.S., Cilla G., Cenoz M.G., Rubio C.Q., Ochoa E.M., Blasco M., Duran J.G., Vanrell J.M., Reina J., Castrillejo D., Gherasim A.M., Delgado C., Oliva J., Casas I., Garcia M., Latorre M., Beamonte A.M.M., Sapina A.M., Amores M.O., Aizpurua A., Montes M., Zakikhany K., Brytting M., Wiman A., Carnahan A., Warburton F., Djennad A., Ellis J., Andrews N., Marques D., Cottrell S., Reynolds A., Gunson R., Galiano M., Lackenby A., Robertson C., O'Doherty M., Sinnathamby M., Yonova I., Moore C., Sartaj M., de Lusignan S., Zambon M., Moren A., Penttinen P., Génétique Moléculaire des Virus à ARN - Molecular Genetics of RNA Viruses (GMV-ARN (UMR_3569 / U-Pasteur_2)), Institut Pasteur [Paris] (IP)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Marc, Rondy, Esther, Kissling, Hanne-Dorthe, Emborg, Alin, Gherasim, Richard, Pebody, Ramona, Trebbien, Francisco, Pozo, Amparo, Larrauri, Jim, Mcmenamin, Marta, Valenciano, D'Agaro, Pierlanfranco, De Lusignan, S, and Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Universitaire de Montpellier (CHU Montpellier )-Université de Montpellier (UM)

Subjects
0301 basic medicine, Male, Pediatrics, Epidemiology, viruses, Influenza B viru, influenza, influenza vaccine effectiveness, influenza vaccination, case control study, multicentre study, Europe, Europe, case control study, influenza, influenza vaccination, influenza vaccine effectiveness, multicentre study, 0302 clinical medicine, Influenza A Virus, H1N1 Subtype, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Interim, Pandemic, Influenza A Virus, 030212 general & internal medicine, QA, Influenza vaccine effectiveness, Child, media_common, Vaccine Effectiveness, Vaccination, virus diseases, Middle Aged, 3. Good health, Treatment Outcome, Influenza Vaccines, Child, Preschool, H3N2 Subtype, Female, Seasons, Influenza Vaccine, Rapid Communication, Human, Adult, RM, medicine.medical_specialty, Adolescent, Influenza vaccine, 030106 microbiology, Case control study, Multicentre study, European studies, Settore MED/07 - MICROBIOLOGIA E MICROBIOLOGIA CLINICA, 03 medical and health sciences, Virology, Influenza, Human, medicine, media_common.cataloged_instance, Humans, H1N1 Subtype, Vacina Antigripal, European Union, European union, Preschool, Pandemics, Aged, Influenza A Virus, H3N2 Subtype, Cuidados de Saúde, Public Health, Environmental and Occupational Health, Infant, Newborn, Infant, Influenza a, influenza vaccine effectivene, Newborn, Influenza, respiratory tract diseases, Influenza vaccination, Influenza B virus, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Determinantes da Saúde e da Doença, [SDV.IMM.VAC]Life Sciences [q-bio]/Immunology/Vaccinology
Abstract

Between September 2017 and February 2018, influenza A(H1N1)pdm09, A(H3N2) and B viruses (mainly B/Yamagata, not included in 2017/18 trivalent vaccines) co-circulated in Europe. Interim results from five European studies indicate that, in all age groups, 2017/18 influenza vaccine effectiveness was 25 to 52% against any influenza, 55 to 68% against influenza A(H1N1)pdm09, -42 to 7% against influenza A(H3N2) and 36 to 54% against influenza B. 2017/18 influenza vaccine should be promoted where influenza still circulates. Funding: The five studies have received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 634446 to conduct the study in individuals aged 65 years or more. ECDC has contributed to fund some study sites of the EU-PC study under the Framework contract No ECDC/2014/026 for the individuals aged less than 65 years. All study teams are very grateful to all patients, general practitioners, paediatricians, hospital teams, laboratory teams, regional epidemiologists who have contributed to the studies. We acknowledge the authors, originating and submitting laboratories of the sequences from GISAID’s EpiFlu Database used for this study. All submitters of data may be contacted directly via the GISAID website www.gisaid.org Sí

Published
2018

48. Thin-Layer Chromatography Experiments That Illustrate General Problems in Chromatography.

Author

Lederer, M. and Leipzig-Pagani, E.

Abstract

Describes experiments that illustrate a number of general principles such as pattern identification, displacement chromatography, and salting-out adsorption, plus an experiment that demonstrates that identification by chromatography alone is impossible. Illustrates that chromatography is still possible with quite simple means, notwithstanding the sophisticated equipment that some workers prefer. (JRH)

Published
1996

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