Lorenzo Pini

Country flagItaly

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (11)

Diffusion‐weighted imaging has been applied to investigate alterations in multiple sclerosis (MS). In the last years, advanced diffusion models were used to identify subtle changes and early lesions in MS. Among these models, neurite orientation dispersion and density imaging (NODDI) is an emerging approach, quantifying specific neurite morphology in both grey (GM) and white matter (WM) tissue and increasing the specificity of diffusion imaging. In this systematic review, we summarized the NODDI findings in MS. A search was conducted on PubMed, Scopus, and Embase, which yielded a total number of 24 eligible studies. Compared to healthy tissue, these studies identified consistent alterations in NODDI metrics involving WM (neurite density index), and GM lesions (neurite density index), or normal‐appearing WM tissue (isotropic volume fraction and neurite density index). Despite some limitations, we pointed out the potential of NODDI in MS to unravel microstructural alterations. These results might pave the way to a deeper understanding of the pathophysiological mechanism of MS. Evidence Level 2. Technical Efficacy Stage 3.

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Collaborators (5)

Alexandra Wennberg

Karolinska Institutet

SWEDEN
View details

Elena Gobbi

IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli

ITALY
View details

Mohammad Hadi Aarabi

University of Padova

ITALY
View details

Annalena Venneri

Brunel University London

UNITED KINGDOM
View details

Martijn van den Heuvel

Associate Professor

VU Amsterdam

NETHERLANDS
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.