Machine learning for the identification of clinically significant prostate cancer on MRI: a meta-analysis

…, MB Cipullo, A Stanzione, V Romeo, R Green… - European …, 2020 - Springer
Objectives The aim of this study was to systematically review the literature and perform a
meta-analysis of machine learning (ML) diagnostic accuracy studies focused on clinically …

[HTML][HTML] Meningioma MRI radiomics and machine learning: systematic review, quality score assessment, and meta-analysis

…, T Perillo, R Cuocolo, A Stanzione, V Romeo, R Green… - Neuroradiology, 2021 - Springer
Purpose To systematically review and evaluate the methodological quality of studies using
radiomics for diagnostic and predictive purposes in patients with intracranial meningioma. To …

Linear discriminant analysis and principal component analysis to predict coronary artery disease

…, K Edmund, V Cantoni, R Green… - Health informatics …, 2020 - journals.sagepub.com
Coronary artery disease is one of the most prevalent chronic pathologies in the modern
world, leading to the deaths of thousands of people, both in the United States and in Europe. …

Combined evaluation of regional coronary artery calcium and myocardial perfusion by 82Rb PET/CT in the identification of obstructive coronary artery disease

…, C Nappi, V Gaudieri, CG Mainolfi, R Green… - European journal of …, 2018 - Springer
Purpose Cardiac imaging with PET/CT allows measurement of coronary artery calcium (CAC),
myocardial perfusion and coronary vascular function. We investigated whether the …

Diagnostic performance of myocardial perfusion imaging with conventional and CZT single-photon emission computed tomography in detecting coronary artery …

V Cantoni, R Green, W Acampa, E Zampella… - Journal of Nuclear …, 2021 - Elsevier
Background We performed a meta-analysis to compare the diagnostic performance of
conventional SPECT (C-SPECT) and cadmium-zinc-telluride (CZT)-SPECT systems in detecting …

Esophagogastric neoplasms following bariatric surgery: an updated systematic review

M Musella, G Berardi, A Bocchetti, R Green, V Cantoni… - Obesity Surgery, 2019 - Springer
The risk of gastric and/or esophageal cancers after bariatric surgery has been previously
discussed in literature. A systematic review was performed to identify articles published …

Prediction of outcome by 82Rb PET/CT in patients with ischemia and nonobstructive coronary arteries

…, P Buongiorno, M Panico, V Cantoni, R Green… - Journal of Nuclear …, 2023 - Springer
Background The purpose of this study was to assess the prognostic value of cardiac 82 Rb
positron emission tomography (PET)/computed tomography (CT) imaging in patients with …

Risk of appendiceal neoplasm after interval appendectomy for complicated appendicitis: A systematic review and meta-analysis

R Peltrini, V Cantoni, R Green, R Lionetti, M D'Ambra… - the surgeon, 2021 - Elsevier
Background Non-operative management is often the treatment of choice in cases of complicated
appendicitis and routine interval appendectomy is not usually recommended. Actually, …

Is it possible to predict cardiac death?

C Ricciardi, V Cantoni, R Green, G Improta… - … Conference on Medical …, 2020 - Springer
Cardiovascular diseases are the leading cause of death in all the world; despite having the
knowledge of the main risk factors, they keep on being complicated pathologies to deal with. …

[PDF][PDF] A comparison among different machine learning pretest approaches to predict stress-induced ischemia at PET/CT myocardial perfusion imaging

…, T Mannarino, A D'Antonio, R Green… - Computational and …, 2021 - downloads.hindawi.com
Traditional approach for predicting coronary artery disease (CAD) is based on demographic
data, symptoms such as chest pain and dyspnea, and comorbidity related to cardiovascular …