[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 …

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 …

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 …

Predicting the tumor response to chemoradiotherapy for rectal cancer: model development and external validation using MRI radiomics

P Bulens, A Couwenberg, M Intven… - Radiotherapy and …, 2020 - Elsevier
Background In well-responding patients to chemoradiotherapy for locally advanced rectal
cancer (LARC), a watch-and-wait strategy can be considered. To implement organ-sparing …

[HTML][HTML] Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of colorectal liver metastases growth pattern

V Granata, R Fusco, F De Muzio, C Cutolo… - Diagnostics, 2022 - mdpi.com
To assess Radiomics and Machine Learning Analysis in Liver Colon and Rectal Cancer
Metastases (CRLM) Growth Pattern, we evaluated, retrospectively, a training set of 51 …

Selecting candidates for organ‐preserving strategies after neoadjuvant chemoradiotherapy for rectal cancer: Development and validation of a model integrating MRI …

L Wan, Z Sun, W Peng, S Wang, J Li… - Journal of Magnetic …, 2022 - Wiley Online Library
Background Histopathologic evaluation after surgery is the gold standard to evaluate
treatment response to neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal …

[HTML][HTML] Structured reporting in radiological settings: pitfalls and perspectives

V Granata, F De Muzio, C Cutolo… - Journal of Personalized …, 2022 - mdpi.com
Objective: The aim of this manuscript is to give an overview of structured reporting in
radiological settings. Materials and Method: This article is a narrative review on structured …