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International MRILab Module I - A One Year Journey From The Basics To Advanced Methodologies of MRI

International MRILab Module I - A One Year Journey From The Basics To Advanced Methodologies of MRI
  • Neurology
  • Multiple sclerosis
Online Conference by Excemed
Wednesday, Jul 7 - Thursday, Jul 8 2021

Accreditation

EACCME®

Event format

Course
Learning Journey
Lecture
Videoconferencing
Workshop session

Language

English

Registration status
Open

To register for this event, contact

Registration fee

600.00€

- Module I: Live Virtual Course, Italy 7–8 Jul 2021

- Module II: Siena, 13–15 Jan 2022

 

All applications will be reviewed by the scientific committee members who will select the best candidates according to their profiles. The successful candidates will participate in both Module I and Module II.

The following requirements are needed to apply:

  • An abbreviated curriculum vitae of the applicant including bibliography of any relevant publication
  • An applicant’s letter of intent
  • A letter of reference from the applicant’s mentor

The Comprehensive Registration fee is €600.

A reduced Registration Fee for academic applicants will be €400.

The registration fee includes: 

  • Modules I & II
  • Online tutorials
  • Live interventions
  • Coffee breaks and lunch
  • Educational materials
  • Certificate of attendance

Target audiences

Young neurologists/ neuroradiologists
Professionals with particular interest in quantitative MRI applied to research in multiple sclerosis.

Introduction

This collaborative EXCEMED multi-format programme, includes a series of international MRILab Workshops designed for young neurologists/ neuroradiologists or other professionals with a particular interest in quantitative MRI applied to research in Multiple Sclerosis.

Overview

In demyelinating and neurodegenerative disorders such as multiple sclerosis (MS), magnetic resonance imaging (MRI) supports diagnostic and therapeutic decisions, assesses prognosis, and improves understanding of the disease. Standardisation and optimisation of MRI acquisition protocols and analysis are therefore critical, both in clinical and research settings. Quantitative methods assessing lesions and atrophy are far less subjective for measuring disease burden in MS, compared with visual inspection, and are moving from research into clinical settings. Structural damage is predictive of motor and cognitive disability and needs to be accurately quantified, also in order to measure response to treatment. Several methods for imaging post-processing have been developed over time with different strengths, limits and scopes. However, whereas quantitative MRI measures have been extensively used in clinical studies and as endpoints in clinical trials, their introduction in the clinical setting has been difficult due to a number of methodological issues.

EXCEMED together with the team of the University of Siena - Experimental Neurology Unit, Department of Medicine, Surgery and Neurosciences - and with the Vall d’Hebron University Hospital in Barcelona - Section of Neuroradiology and MRI Unit, Department of Radiology designed the MRILab - an international 12-month-training period for young neurologists and neuroradiologists particularly interested in quantitative neuroimaging applied to research in demyelinating and neurodegenerative disorders. The Lab is structured as follows:

  • The first module will focus on MRI acquisition and imaging post-processing of the brain (lesions and volume)
  • A remote tutoring programme provided by the members of the scientific committee and their teams will support the trainees in their research activities between the two modules by a message board on the MRILab dedicated page which will be accessible to all the participants to post questions and doubts.
  • The second module will be a live event followed by a webinar. Module II will take place 6 months following Module I, and will focus on cortical lesions and volume and MRI acquisition and imaging post-processing of the spinal cord (lesions and volume).

 

Learning objectives

Through a series of different educational formats - both live and online - the MRI-Lab, facing basic and advanced methodological key aspects related to the use of quantitative measures of lesions and atrophy, aims to achieve the following learning objectives:

  • Illustrate the main issues in the standardisation and optimisation of MRI acquisition protocols
  • Describe how to facilitate image post-processing
  • Discuss strengths and limits of currently used software packages for image quantification
  • Deliver full analysis of lesion burden and atrophy in MRI samples.

 

Pre-Event Tutorials

These preparatory tutorials provide an overview of the course for both modules focusing on the main goals that attendees will achieve through their learning journey in the field of quantitative MRI. The video scribing format facilitates the understanding of the entire learning path, translating scientific concepts into graphic maps. The tutorials will: 

  • Define the importance of quantitative imaging in the evaluation of structural damage in MS
  • Explain the main advancements and pitfalls in this field and how to approach quantitative MRI in a critical way

 

Post Event Tutorials

The post-course tutorials aim to summarise the main topics delivered in the modules. It will provide attendees with tips and practical exercises to help them develop original research projects building on the information gathered during the course. The tutorials will:

  • Simplify complex concepts into manageable information
  • Efficiently translate the theory of quantitative MRI into working knowledge

 

Requirements

In order to get the full benefits from attending the two courses, attendants need to ensure that the basic tools will be available at their host institution (or on a personal laptop). Requirements: Matlab (basic license), Statistical Parametric Mapping (www.fil.ion.ucl.ac.uk/spm; free software but needs Matlab to run) and FSL (https://fsl.fmrib.ox.ac.uk/fsl/fslwiki), which runs over a Linux/Unix system (in case you work with PCs, a Virtual Machine should be installed).

Accreditation details

The International MRI Lab, Siena, Italy, 13/01/2022 - 15/01/2022, has been accredited by the European Accreditation Council for Continuing Medical Education (EACCME®) with 14 (fourteen) European CME credits (ECMEC®s). Each medical specialist should claim only those hours of credit that he/she actually spent in the educational activity.

Through an agreement between the Union Européenne des Médecins Spécialistes and the American Medical Association, physicians may convert EACCME® credits to an equivalent number of AMA PRA Category 1 CreditsTM. Information on the process to convert EACCME® credit to AMA credit can be found at www.ama-assn.org/education/earn-credit-participation-international-activities.

Live educational activities, occurring outside of Canada, recognised by the UEMS-EACCME® for ECMEC®s are deemed to be Accredited Group Learning Activities (Section 1) as defined by the Maintenance of Certification Program of the Royal College of Physicians and Surgeons of Canada.

The other module will be submitted for CME accreditation to the EACCME®.

UEMS

Chair(s)

Nicola De Stefano

Department of Medicine, Surgery & Neuroscience
University of Siena
Siena, Italy

Alex Rovira

Department of Radiology
Unit of Magnetic Resonance
Vall d’Hebron University Hospital
Barcelona, Spain

Deborah Pareto

Vall d’Hebron University Hospital
Section of Neuroradiology Department of Radiology
Barcelona, Spain

Marco Battaglini

Department of Neurological and Behavioral Sciences
University of Siena
Siena, Italy
Speakers

Marco Battaglini

Department of Neurological and Behavioral Sciences
University of Siena
Siena, Italy

Nicola De Stefano

Department of Medicine, Surgery & Neuroscience
University of Siena
Siena, Italy

Deborah Pareto

Vall d’Hebron University Hospital
Section of Neuroradiology Department of Radiology
Barcelona, Spain

Alex Rovira

Department of Radiology
Unit of Magnetic Resonance
Vall d’Hebron University Hospital
Barcelona, Spain

Menno Schoonheim

Department of Anatomy & Neurosciences
VU University Medical Center