Abstract #0780

Multimodal lesion characterization in multiple sclerosis: a pilot study

Simona Schiavi¹, Gian Franco Piredda^2,3,4, Caterina Lapucci⁵, Francesco Tazza¹, Domenico Zacà⁶, Luca Roccatagliata^7,8, Tom Hilbert^2,3,4, Tobias Kober^2,3,4, Matilde Inglese^1,9, 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

Synopsis

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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