Publications by authors named "Alessio Cirone"
Aim: Frontotemporal dementia (FTD) is a heterogeneous neurodegenerative disorder, with considerable variability of age-at-onset. We explored clinical and metabolic differences between early- and late-onset behavioural FTD (bvFTD), assuming that they might represent different disease phenotypes.
Materials And Methods: We retrospectively studied consecutive patients diagnosed with prodromal or overt bvFTD with [F]FDG PET scan, neuropsychological assessment (NPS), and Neuropsychiatric Inventory (NPI) available at baseline.
Background And Purpose: Knowledge-Based Planning (KBP) is increasingly used to standardize and optimize radiotherapy planning. This study aims to develop, refine, and compare multicentric KBP models for craniospinal irradiation (CSI) in pediatric patients.
Materials And Methods: A total of 113 CSI treatments from three Italian centers were collected, comprising Computed Tomography scans, target and organ contours, and treatment plans.
Background: I-metaiodobenzylguanidine ( I-mIBG) effectiveness in children with metastasised neuroblastoma (NB) is linked to the effective dose absorbed by the target; a target of 4 Gy whole-body dose threshold has been proposed. Achieving this dose often requires administering I-mIBG twice back-to-back, which may cause haematological toxicity. In this study, we tried identifying the factors predicting the achievement of 4 Gy whole-body dose with a single radiopharmaceutical administration.
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- The report focuses on pediatric diffuse high-grade gliomas (PDHGG), which are rare brain tumors with limited treatment options, and explores the potential of using [Cu]CuCl for molecular imaging and identifying therapeutic targets.
- The study involved ten pediatric patients who underwent PET/CT scans with [Cu]CuCl to assess tumor metabolism, with results indicating that tracer uptake correlated with MRI findings and increased over time.
- The findings suggest that [Cu]CuCl is safe and shows enhanced uptake in tumor areas associated with blood-brain barrier damage, indicating its potential as a diagnostic tool in PDHGG.
Objectives: To test the performance of a 3D convolutional neural network (CNN) in analysing brain [F]DOPA PET/CT in order to identify patients with nigro-striatal neurodegeneration. We evaluated the robustness of the 3D CNN by testing it against a manual regional analysis of the striata by using a striatal-to-occipital ratio (SOR).
Methods: We analyzed patients who had undergone [F]DOPA PET/CT from 2016 to 2018.