A narrative review on current imaging applications of artificial intelligence and radiomics in oncology: Focus on the three most common cancers

S Vicini, C Bortolotto, M Rengo, D Ballerini, D Bellini… - La radiologia …, 2022 - Springer
The use of artificial intelligence (AI) and radiomics in the healthcare setting to advance
disease diagnosis and management and facilitate the creation of new therapeutics is …

Liver metastases: The role of magnetic resonance imaging

C Maino, F Vernuccio, R Cannella… - World Journal of …, 2023 - pmc.ncbi.nlm.nih.gov
The liver is one of the organs most commonly involved in metastatic disease, especially due
to its unique vascularization. It's well known that liver metastases represent the most …

Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases

V Granata, R Fusco, F De Muzio, C Cutolo… - La radiologia …, 2022 - Springer
Purpose The purpose of this study is to evaluate the Radiomics and Machine Learning
Analysis based on MRI in the assessment of Liver Mucinous Colorectal Metastases. Query …

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 …

Recent advances in ultrasound breast imaging: from industry to clinical practice

O Catalano, R Fusco, F De Muzio, I Simonetti… - Diagnostics, 2023 - mdpi.com
Breast ultrasound (US) has undergone dramatic technological improvement through recent
decades, moving from a low spatial resolution, grayscale-limited technique to a highly …

Update on the applications of radiomics in diagnosis, staging, and recurrence of intrahepatic cholangiocarcinoma

MC Brunese, MR Fantozzi, R Fusco, F De Muzio… - Diagnostics, 2023 - mdpi.com
Background: This paper offers an assessment of radiomics tools in the evaluation of
intrahepatic cholangiocarcinoma. Methods: The PubMed database was searched for papers …

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 …

Machine learning approaches with textural features to calculate breast density on mammography

M Sansone, R Fusco, F Grassi, G Gatta, MP Belfiore… - Current …, 2023 - mdpi.com
Background: breast cancer (BC) is the world's most prevalent cancer in the female
population, with 2.3 million new cases diagnosed worldwide in 2020. The great efforts made …

An informative review of radiomics studies on cancer imaging: the main findings, challenges and limitations of the methodologies

R Fusco, V Granata, I Simonetti, SV Setola… - Current …, 2024 - mdpi.com
The aim of this informative review was to investigate the application of radiomics in cancer
imaging and to summarize the results of recent studies to support oncological imaging with …

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 …