Riccardo Leone

Riccardo Leone

MD and Board-Certified Radiologist, PhD Candidate @ Computational Neurology Group, University of Bonn/Ruhr University Bochum

Sitemap

A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

portfolio

publications

Leakage Risk Stratification After Laparoscopic Sleeve Gastrectomy (LSG): Is There a Role for Routine Postoperative CT Scan?

Published in OBES SURG, 2020

This study investigates whether routine postoperative CT scans help stratify leakage risk after laparoscopic sleeve gastrectomy.

Recommended citation: Palumbo D., [...], Leone R., et al. (2020). 'Leakage Risk Stratification After Laparoscopic Sleeve Gastrectomy (LSG): Is There a Role for Routine Postoperative CT Scan?' OBES SURG. 30:3370–3377.
Download Paper

Chest CT-derived pulmonary artery enlargement at admission predicts overall survival in COVID-19 patients: insight from 1461 consecutive patients in Italy

Published in European Radiology, 2021

This study identifies pulmonary artery enlargement on chest CT as an independent predictor of mortality in hospitalized COVID-19 patients.

Recommended citation: Esposito A., [...], Leone R. et al. (2021). 'Chest CT-derived pulmonary artery enlargement at admission predicts overall survival in COVID-19 patients: insight from 1461 consecutive patients in Italy.' European Radiology. 31(6):4031–4041.
Download Paper

Epicardial adipose tissue characteristics, obesity and clinical outcomes in COVID-19: a post-hoc analysis of a prospective cohort study

Published in Nutrition, Metabolism and Cardiovascular Diseases, 2021

This work shows that epicardial adipose tissue features are associated with obesity and adverse outcomes in COVID-19.

Recommended citation: Conte C., [...], Leone R. et al. (2021). 'Epicardial adipose tissue characteristics, obesity and clinical outcomes in COVID-19: A post-hoc analysis of a prospective cohort study.' Nutrition, Metabolism and Cardiovascular Diseases. 31(7):2156–2164.
Download Paper

Coronary and total thoracic calcium scores predict mortality and provide pathophysiologic insights in COVID-19 patients

Published in Journal of Cardiovascular Computed Tomography, 2021

This study demonstrates that coronary and thoracic calcium scores predict mortality and provide insight into cardiovascular involvement in COVID-19.

Recommended citation: Giannini F., [...], Leone R. et al. (2021). 'Coronary and total thoracic calcium scores predict mortality and provide pathophysiologic insights in COVID-19 patients.' J Cardiovasc Comput Tomogr. 15(5):421–430.
Download Paper

Quantitative muscle mass biomarkers are independent prognosis factors in primary central nervous system lymphoma: The role of L3-skeletal muscle index and temporal muscle thickness

Published in European Journal of Radiology, 2021

This work identifies quantitative muscle biomarkers as independent prognostic factors in primary CNS lymphoma.

Recommended citation: Leone R. et al. (2021). 'Quantitative muscle mass biomarkers are independent prognosis factors in primary central nervous system lymphoma: The role of L3-skeletal muscle index and temporal muscle thickness.' European Journal of Radiology. 143:109945.
Download Paper

AI-SCoRE (Artificial Intelligence–SARS CoV2 Risk Evaluation): a fast, objective and fully automated platform to predict outcome in COVID-19 patients

Published in Radiologia Medica, 2022

This paper presents AI-SCoRE, an artificial intelligence platform that predicts COVID-19 outcomes from imaging data.

Recommended citation: Palmisano A., [...], Leone R. et al. (2022). 'AI-SCoRE (Artificial Intelligence–SARS CoV2 Risk Evaluation): a fast, objective and fully automated platform to predict outcome in COVID-19 patients.' Radiologia Medica. 127:960–972.
Download Paper

Assessing the added value of apparent diffusion coefficient, cerebral blood volume, and radiomic magnetic resonance features for differentiation of pseudoprogression versus true tumor progression in patients with glioblastoma

Published in Neuro-Oncology Advances, 2023

This paper develops MRI-based radiomic models to distinguish pseudoprogression from true tumor progression in glioblastoma.

Recommended citation: Leone R. et al. (2023). 'Assessing the added value of apparent diffusion coefficient, cerebral blood volume, and radiomic magnetic resonance features for differentiation of pseudoprogression versus true tumor progression in patients with glioblastoma.' Neuro-Oncology Advances. 5(1):vdad016.
Download Paper

Radiomics-based machine learning model for predicting Overall and Progression-Free Survival in rare cancer: a case study for Primary CNS Lymphoma patients

Published in Bioengineering, 2023

This paper applies radiomics and machine learning to predict overall and progression-free survival in primary CNS lymphoma.

Recommended citation: Destito M.*, Marzullo A.*, Leone R.*, et al. (2021). 'Radiomics-based machine learning model for predicting Overall and Progression-Free Survival in rare cancer: a case study for Primary CNS Lymphoma patients.' Bioengineering. 10(3):285.
Download Paper

Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma

Published in Int J CARS, 2023

This study develops a deep learning model to predict overall survival in primary CNS lymphoma patients.

Recommended citation: She Z., [...], Leone R., et al. (2023). 'Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma.' Int J CARS. 18:1849–1856.
Download Paper

Combining semi-quantitative rating and automated brain volumetry in MRI evaluation of patients with probable behavioural variant of fronto-temporal dementia: an added value for clinical practise?

Published in Neuroradiology, 2023

This study investigates the association between semi-quantitative visual assessment and automated cortical thickness measurements of atrophy in behavioural variant frontotemporal dementia.

Recommended citation: Calloni S.F., [...], Leone R. et al. (2023). 'Combining semi-quantitative rating and automated brain volumetry in MRI evaluation of patients with probable behavioural variant of fronto-temporal dementia: an added value for clinical practise?' Neuroradiology. 65:1025–1035.
Download Paper

A whole-brain model of the aging brain during slow wave sleep

Published in eNeuro, 2024

This study presents a whole-brain model showing how a reduction of inter-hemispheric white matter connections is sufficient to replicate slow-wave sleep observed in aging.

Recommended citation: Lupi E.*, Di Antonio G.*, Angiolelli M.*, Sacha M.*, Kayabas A.M.*, Alboré N.*, Leone R.*, et al. (2024). 'A whole-brain model of the aging brain during slow wave sleep.' eNeuro. 11(11):ENEURO.0180-24.2024.
Download Paper

White matter hyperintensities contribute to early cortical thinning in addition to tau in aging

Published in Neurobiology of Aging, 2025

This work demonstrates that white matter hyperintensities independently contribute to cortical thinning of AD vulnerable temporal regions alongside tau pathology in aging.

Recommended citation: Leone R. and Kobeleva X. (2025). 'White matter hyperintensities contribute to early cortical thinning in addition to tau in aging.' Neurobiology of Aging. 155:66–77.
Download Paper

Alterations in MRI-visible perivascular spaces precede dementia diagnosis by 18 years in autosomal dominant Alzheimer’s disease

Published in Alzheimer's & Dementia, 2025

This study shows that MRI-visible perivascular space alterations occur nearly two decades before dementia onset in genetic Alzheimer's disease.

Recommended citation: Leone R., et al. (2025). 'Alterations in MRI-visible perivascular spaces precede dementia diagnosis by 18 years in autosomal dominant Alzheimer's disease.' Alzheimer's & Dementia. 21:e70588.
Download Paper

talks

teaching

Computational Neurology Workshop

Workshop, Ruhr University Bochum, 2024

During the summer semester 2024 I co-developed and taught, together with Prof. Xenia Kobeleva, the Interdisciplinary Workshop on Computational Neurology; the same worskhop was also held in the summer semester 2025. The workshop included approximately 15 Master’s student from the Informatics, Psychology and Medical Departments and it involved a high degree of interdisciplinary work and the development of a hands-on project.