[HTML][HTML] Diagnostic evaluation and ablation treatments assessment in hepatocellular carcinoma

V Granata, R Grassi, R Fusco, A Belli, C Cutolo… - Infectious Agents and …, 2021 - Springer
This article provides an overview of diagnostic evaluation and ablation treatment
assessment in Hepatocellular Carcinoma (HCC). Only studies, in the English language from …

[HTML][HTML] Systematic review with radiomics quality score of cholangiocarcinoma: an EuSoMII Radiomics Auditing Group Initiative

R Cannella, F Vernuccio, ME Klontzas… - Insights into …, 2023 - Springer
Objectives To systematically review current research applications of radiomics in patients
with cholangiocarcinoma and to assess the quality of CT and MRI radiomics studies …

[HTML][HTML] CT-based radiomics analysis to predict histopathological outcomes following liver resection in colorectal liver metastases

V Granata, R Fusco, SV Setola, F De Muzio… - Cancers, 2022 - mdpi.com
Simple Summary The objective of the study was to assess the radiomic features obtained by
computed tomography (CT) examination as prognostic biomarkers in patients with colorectal …

Precision of MRI radiomics features in the liver and hepatocellular carcinoma

G Carbonell, P Kennedy, O Bane, A Kirmani… - European …, 2022 - Springer
Objectives To assess the precision of MRI radiomics features in hepatocellular carcinoma
(HCC) tumors and liver parenchyma. Methods The study population consisted of 55 patients …

[HTML][HTML] MRI-based radiomic features help identify lesions and predict histopathological grade of hepatocellular carcinoma

V Brancato, N Garbino, M Salvatore, C Cavaliere - Diagnostics, 2022 - mdpi.com
Hepatocellular carcinoma (HCC) is the most common form of liver cancer. Radiomics is a
promising tool that may increase the value of magnetic resonance imaging (MRI) in the …

[HTML][HTML] Assessing PD-L1 expression level via preoperative MRI in HCC based on integrating deep learning and radiomics features

Y Tian, TE Komolafe, J Zheng, G Zhou, T Chen, B Zhou… - Diagnostics, 2021 - mdpi.com
To assess if quantitative integrated deep learning and radiomics features can predict the PD-
L1 expression level in preoperative MRI of hepatocellular carcinoma (HCC) patients. The …

A framework for harmonization of radiomics data for multicenter studies and clinical trials

MAS Soliman, LC Kelahan, M Magnetta… - JCO Clinical Cancer …, 2022 - ascopubs.org
PURPOSE Variability in computed tomography images intrinsic to individual scanners limits
the application of radiomics in clinical and research settings. The development of …

Role of hepatic metastatic lesion size on inter-reader reproducibility of CT-based radiomics features

LC Kelahan, D Kim, M Soliman, RJ Avery, H Savas… - European …, 2022 - Springer
Objectives To evaluate the effect of hepatic metastatic lesion size on inter-reader
reproducibility of CT-based 2D radiomics imaging features. Methods Computerized …

MRI-based nomogram predicts the risk of progression of unresectable hepatocellular carcinoma after combined lenvatinib and anti-PD-1 antibody therapy

R Sheng, M Zeng, K Jin, Y Zhang, D Wu, H Sun - Academic Radiology, 2022 - Elsevier
Rationale and Objectives Combined immune and anti-angiogenic treatment has shown
promising results for unresectable hepatocellular carcinoma (HCC), but with a high risk of …

[HTML][HTML] CT radiomics for noninvasively predicting NQO1 expression levels in hepatocellular carcinoma

Z He, X Shen, B Wang, L Xu, Q Ling - Plos one, 2023 - journals.plos.org
Using noninvasive radiomics to predict pathological biomarkers is an innovative work worthy
of exploration. This retrospective cohort study aimed to analyze the correlation between …