Radiomics in medical imaging: pitfalls and challenges in clinical management

R Fusco, V Granata, G Grazzini, S Pradella… - Japanese journal of …, 2022 - Springer
Background Radiomics and radiogenomics are two words that recur often in language of
radiologists, nuclear doctors and medical physicists especially in oncology field. Radiomics …

[HTML][HTML] 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 …

Use of magnetic resonance imaging in rectal cancer patients: Society of Abdominal Radiology (SAR) rectal cancer disease-focused panel (DFP) recommendations …

MJ Gollub, S Arya, RGH Beets-Tan, G Deprisco… - Abdominal …, 2018 - Springer
Purpose To propose guidelines based on an expert-panel-derived unified approach to the
technical performance, interpretation, and reporting of MRI for baseline and post-treatment …

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 …

Validation of the standardized index of shape tool to analyze DCE-MRI data in the assessment of neo-adjuvant therapy in locally advanced rectal cancer

R Fusco, V Granata, M Sansone, D Rega, P Delrio… - La radiologia …, 2021 - Springer
Purpose Standardized index of shape (SIS) tool validation to examine dynamic contrast
enhanced–magnetic resonance imaging (DCE-MRI) in preoperative chemo-radiation …

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 …

Radiomics and artificial intelligence analysis by T2-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging to predict Breast Cancer …

A Petrillo, R Fusco, ML Barretta, V Granata… - La radiologia …, 2023 - Springer
Objective The objective of the study was to evaluate the accuracy of radiomics features
obtained by MR images to predict Breast Cancer Histological Outcome. Methods A total of …

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 …

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 …