Multimodal lesion characterization in multiple sclerosis: a pilot study
Simona Schiavi1, Gian Franco Piredda2,3,4, Caterina Lapucci5, Francesco Tazza1, Domenico Zacà6, Luca Roccatagliata7,8, Tom Hilbert2,3,4, Tobias Kober2,3,4, Matilde Inglese1,9, and Mauro Costagli1
1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy, 2Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 3Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 4LTS5, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 5HNSR, IRRCS Ospedale Policlinico San Martino, Genoa, Italy, 6Siemens Healthcare s.r.l, Milan, Italy, Milan, Italy, 7Department of Neuroradiology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy, 8Dipartimento di Scienze della Salute (DISSAL), University of Genoa, Genoa, Italy, 9IRCCS Ospedale Policlinico San Martino, Genoa, Italy
Using a comprehensive multimodal quantitative MRI protocol, we study the relationships between different microstructural metrics inside lesional tissue and investigate the heterogeneous pathological processes underlying alterations visible as hyperintense plaques in FLAIR images. Our preliminary results suggest that, although all the metrics can detect differences between lesions and normal appearing white matter, not all are directly associated with clinical status. Moreover, many metrics are intercorrelated and should not be considered as independent information when analyzing clinical outcomes. Understanding the clinical value of these parameters can advance the understanding of complex microstructural processes in neurological diseases and informs MRI protocol designs.
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