Quantitative MRI Harmonization to Maximize Clinical Impact: The RIN-Neuroimaging Network

Area of Science:

• Neuroimaging
• Biomarker Discovery
• Neurological Disorders

Background:

• Neuroimaging studies often suffer from poor reproducibility, hindering scientific progress.
• Multisite collaborations can increase statistical power but face challenges from scanner and protocol heterogeneity.
• Standardized approaches are crucial for reliable in-vivo neuroimaging biomarker identification.

Purpose of the Study:

• To establish a national consortium, RIN-Neuroimaging Network, for identifying disease-specific neuroimaging biomarkers.
• To overcome limitations in multisite neuroimaging research through harmonization and standardization.
• To enhance the diagnostic and prognostic capabilities of advanced MRI data.

Main Methods:

• Formation of a national consortium (RIN-Neuroimaging Network) comprising 23 Italian research institutes.
• Development of standardized operating procedures for MRI quality control and harmonized acquisition protocols (clinical and preclinical).
• Implementation of a FAIR data-compliant web-based e-infrastructure for data sharing and storage.
• Large-scale multimodal data collection in patients and animal models with dementia.

Main Results:

• Guidelines for standardized qualitative MRI assessment in neurological diseases were defined (WP1).
• Standardized Operative Procedures for phantom quality control and harmonized quantitative MRI protocols were established for clinical and preclinical scanners (WP2, WP3).
• A web-based e-infrastructure facilitating cross-site data sharing was implemented (WP4).

Conclusions:

• The RIN-Neuroimaging Network successfully harmonized MRI acquisition protocols and data sharing across multiple institutions.
• Standardization efforts improve the quality, consistency, and generalizability of neuroimaging data.
• This network maximizes research impact and advances the potential for identifying reliable neuroimaging biomarkers in neurological and neuropsychiatric conditions.