Publications by authors named "M Mortilla"

Aims: Early detection and treatment of neurodegenerative Langerhans cell histiocytosis (ND-LCH) have been suggested to prevent neurodegenerative progression. The aim of the study is to validate a standardized multidisciplinary diagnostic work-up to monitor the intravenous immunoglobulins (IVIG) treatment response and the natural course of the disease in untreated patients.

Methods: Patients with abnormal somatosensory evoked potentials (SEPs) received monthly 0.

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  • Spinal cord atrophy, detectable through MRI, has become an important marker for neurodegeneration in neurological disorders, but traditional methods based on cross-sectional area are prone to variability.
  • The study introduces SIENA-SC, a refined imaging technique that directly measures volume changes in the spinal cord over time, showing lower measurement error compared to existing methods.
  • Results indicate that SIENA-SC can effectively differentiate between healthy individuals and Multiple Sclerosis patients, making it a reliable and automated tool for monitoring spinal cord atrophy in clinical research.
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  • - A significant outbreak of influenza A(H1N1pdm09) affected seven young children in Tuscany, Italy, between December 2023 and January 2024, with a median age of 52 months.
  • - The children exhibited a range of symptoms, from mild encephalopathy to severe acute necrotizing encephalopathy (ANE), resulting in coma and multiorgan failure, with one child sadly passing away.
  • - This report emphasizes the necessity for healthcare providers to quickly recognize and treat acute encephalopathy linked to H1N1 influenza and highlights the importance of vaccination to prevent severe illness in young children.
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Background: Texture analysis extracts many quantitative image features, offering a valuable, cost-effective, and non-invasive approach for individual medicine. Furthermore, multimodal machine learning could have a large impact for precision medicine, as texture biomarkers can underlie tissue microstructure. This study aims to investigate imaging-based biomarkers of radio-induced neurotoxicity in pediatric patients with metastatic medulloblastoma, using radiomic and dosiomic analysis.

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In this work we present BIANCA-MS, a novel tool for brain white matter lesion segmentation in multiple sclerosis (MS), able to generalize across both the wide spectrum of MRI acquisition protocols and the heterogeneity of manually labeled data. BIANCA-MS is based on the original version of BIANCA and implements two innovative elements: a harmonized setting, tested under different MRI protocols, which avoids the need to further tune algorithm parameters to each dataset; and a cleaning step developed to improve consistency in automated and manual segmentations, thus reducing unwanted variability in output segmentations and validation data. BIANCA-MS was tested on three datasets, acquired with different MRI protocols.

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