Artificial intelligence in lung cancer screening: the future is now

M Cellina, LM Cacioppa, M Cè, V Chiarpenello… - Cancers, 2023 - mdpi.com
Simple Summary Lung cancer is a widespread malignant tumour with a high mortality and
morbidity rate and is frequently diagnosed in the middle and late stages when few therapies …

Lymph nodes evaluation in rectal cancer: where do we stand and future perspective

A Borgheresi, F De Muzio, A Agostini… - Journal of Clinical …, 2022 - mdpi.com
The assessment of nodal involvement in patients with rectal cancer (RC) is fundamental in
disease management. Magnetic Resonance Imaging (MRI) is routinely used for local and …

Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs): A radiomic model to predict tumor grade

G Chiti, G Grazzini, F Flammia, B Matteuzzi, P Tortoli… - La radiologia …, 2022 - Springer
Purpose The aim of this single-center retrospective study is to assess whether contrast-
enhanced computed tomography (CECT) radiomics analysis is predictive of …

CT-based radiomics for prediction of therapeutic response to Everolimus in metastatic neuroendocrine tumors

D Caruso, M Polici, M Rinzivillo, M Zerunian, I Nacci… - La radiologia …, 2022 - Springer
Aim To test radiomic approach in patients with metastatic neuroendocrine tumors (NETs)
treated with Everolimus, with the aim to predict progression-free survival (PFS) and death …

Management of cutaneous melanoma: Radiologists challenging and risk assessment

V Granata, I Simonetti, R Fusco, SV Setola, F Izzo… - La radiologia …, 2022 - Springer
Melanoma patient remains a challenging for the radiologist, due to the difficulty related to the
management of a patient more often in an advanced stage of the disease. It is necessary to …

Advanced magnetic resonance imaging (MRI) techniques: technical principles and applications in nanomedicine

F Bruno, V Granata, F Cobianchi Bellisari, F Sgalambro… - Cancers, 2022 - mdpi.com
Simple Summary Magnetic Resonance Imaging (MRI) is a consolidated imaging tool for the
multiparametric assessment of tissues in various pathologies from degenerative and …

Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment

V Granata, R Fusco, F De Muzio, MC Brunese… - La radiologia …, 2023 - Springer
Objective The aim of this study was the evaluation radiomics analysis efficacy performed
using computed tomography (CT) and magnetic resonance imaging in the prediction of …

Combined hepatocellular-cholangiocarcinoma: What the multidisciplinary team should know

C Cutolo, F Dell'Aversana, R Fusco, G Grazzini, G Chiti… - Diagnostics, 2022 - mdpi.com
Combined hepatocellular-cholangiocarcinoma (cHCC-CCA) is a rare type of primary liver
malignancy. Among the risk factors, hepatitis B and hepatitis C virus infections, cirrhosis, and …

Risk assessment and pancreatic cancer: Diagnostic management and artificial intelligence

V Granata, R Fusco, SV Setola, R Galdiero… - Cancers, 2023 - mdpi.com
Simple Summary Pancreatic cancer (PC) is one of the deadliest cancers. Its high mortality
rate is correlated with several explanations; the main one is the late disease stage at which …

Imaging severity COVID-19 assessment in vaccinated and unvaccinated patients: comparison of the different variants in a high volume Italian reference center

V Granata, R Fusco, A Villanacci… - Journal of Personalized …, 2022 - mdpi.com
Purpose: To analyze the vaccine effect by comparing five groups: unvaccinated patients with
Alpha variant, unvaccinated patients with Delta variant, vaccinated patients with Delta …