Descrizione del progetto
Un quadro basato sulla risonanza magnetica migliora la diagnosi dei disturbi neurologici
La risonanza magnetica è il metodo di imaging standard per la diagnosi e il monitoraggio di molte malattie neurologiche, come ad esempio la sclerosi multipla. Tuttavia, la sua applicazione nella pratica clinica è limitata principalmente all’identificazione visiva di anomalie tissutali importanti, anziché di quelle più impercettibili. L’obiettivo principale del progetto CDS-QUAMRI, finanziato dall’UE, è quello di elaborare un sistema di supporto alle decisioni cliniche che sfrutti la potenza della risonanza magnetica nella diagnosi di disturbi neurologici e psichiatrici, spesso privi di criteri oggettivi. Il consorzio integrerà diverse modalità di risonanza magnetica e di apprendimento automatico in un quadro unico. Il sistema si concentrerà inizialmente sulla depressione maggiore e sulla sclerosi multipla, con l’obiettivo di fungere da base per il futuro processo decisionale clinico nelle neuroscienze.
Obiettivo
A large number of neurological and psychiatric disorders lack objective criteria for primary diagnoses, early differential diagnosis with regard to subtypes in treatment response and disease progression or effective therapy monitoring resulting in a tremendous negative socio-economic impact. Scientific studies based on advanced MRI methods indicate that related patients show specific subtle changes in multiple MRI readouts that are only detectable by quantitative approaches. Existing tools for MRI data analysis are largely insufficient to maximise the use of advanced modality based, diverse and complex MRI data with deficiencies existing mainly in interoperability as well as data organisation, integration, analysis and exploitation in clinical decision making.
Hence, the development of a clinical decision support system for neurological and psychiatric disorders is envisioned that is based on multimodal quantitative magnetic resonance imaging, advanced feature extraction and multi-parametric classification. To that the quantitative analysis of structural, functional and metabolic MRI data (11 modalities) shall be fully integrated into a single software framework for the first time; support of large data, interoperability and access for non-expert users shall be enabled and a machine learning based classification module shall be developed. The quantification and feature extraction algorithms for metabolic, perfusion, diffusion and functional imaging shall be enhanced to access the full information content of the data independent of vendor specific scan protocols as required for future use in diagnostics, stratification and monitoring of patients. The envisioned clinical decision support system shall be tested, optimized and demonstrated for major depression and multiple sclerosis, but can be extended to additional disorders by enabling large scale clinical trials and more widespread use in neuroscience as a basis for the future clinical decision making.
Campo scientifico
- medical and health sciencesclinical medicinepsychiatryobsessive-compulsive disorder
- medical and health sciencesclinical medicinepsychiatryposttraumatic stress disorder
- medical and health sciencesbasic medicineneurologymultiple sclerosis
- engineering and technologymedical engineeringdiagnostic imagingmagnetic resonance imaging
- medical and health sciencesclinical medicinepsychiatryschizophrenia
Programma(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-PHC-2014-two-stage
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
80539 Munchen
Germania