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 …

[HTML][HTML] Is precision medicine for colorectal liver metastases still a utopia? New perspectives by modern biomarkers, radiomics, and artificial intelligence

L Viganò, VSJ Arachchige, F Fiz - World Journal of …, 2022 - ncbi.nlm.nih.gov
The management of patients with liver metastases from colorectal cancer is still debated.
Several therapeutic options and treatment strategies are available for an extremely …

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 …

The histopathological growth pattern of colorectal liver metastases impacts local recurrence risk and the adequate width of the surgical margin

L Viganò, B Branciforte, V Laurenti, G Costa… - Annals of Surgical …, 2022 - Springer
Background The histopathological growth pattern (HGP) of colorectal liver metastases
(CLM) has been associated with prognosis. This study was designed to elucidate if the HGP …

Artificial intelligence and radiation effects on brain tissue in glioblastoma patient: Preliminary data using a quantitative tool

D Franco, V Granata, R Fusco, R Grassi, V Nardone… - La radiologia …, 2023 - Springer
Purpose The quantification of radiotherapy (RT)-induced functional and morphological brain
alterations is fundamental to guide therapeutic decisions in patients with brain tumors. The …

Radiomic model to predict the expression of PD-1 and overall survival of patients with ovarian cancer

L Gao, W Jiang, Q Yue, R Ye, Y Li, J Hong… - International …, 2022 - Elsevier
Background Programmed cell death 1 (PD-1), encoded by programmed cell death protein 1
(PDCD1), is widely investigated in clinical trials. We aimed to develop a radiomic model to …

Radiomics of biliary tumors: a systematic review of current evidence

F Fiz, VS Jayakody Arachchige, M Gionso, I Pecorella… - Diagnostics, 2022 - mdpi.com
Biliary tumors are rare diseases with major clinical unmet needs. Standard imaging
modalities provide neither a conclusive diagnosis nor robust biomarkers to drive treatment …

The role of biomarkers in the management of colorectal liver metastases

DB Hewitt, ZJ Brown, TM Pawlik - Cancers, 2022 - mdpi.com
Simple Summary Colorectal cancer remains one of the most significant sources of cancer-
related morbidity and mortality worldwide. The liver is the most common site of metastatic …

Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics

V Granata, R Fusco, SV Setola, R Galdiero… - Infectious agents and …, 2023 - Springer
In this narrative review, we reported un up-to-date on the role of radiomics to assess
prognostic features, which can impact on the liver metastases patient treatment choice. In …

Mapping tumor heterogeneity via local entropy assessment: making biomarkers visible

G Costa, L Cavinato, F Fiz, M Sollini, A Chiti… - Journal of digital …, 2023 - Springer
Advanced imaging and analysis improve prediction of pathology data and outcomes in
several tumors, with entropy-based measures being among the most promising biomarkers …