Comprehensive clinical evaluation of a deep learning-accelerated, single-breath-hold abdominal HASTE at 1.5 T and 3 T

J Herrmann, D Wessling, D Nickel, S Arberet… - Academic radiology, 2023 - Elsevier
To evaluate the clinical performance of a deep learning-accelerated single-breath-hold half-
Fourier acquisition single-shot turbo spin echo (HASTE DL)-sequence for T2-weighted fat …

Methylated circulating tumor DNA in hepatocellular carcinoma: A comprehensive analysis of biomarker potential and clinical implications

Q Zhu, J Xie, W Mei, C Zeng - Cancer Treatment Reviews, 2024 - Elsevier
The intricate epigenetic landscape of hepatocellular carcinoma (HCC) is profoundly
influenced by alterations in DNA methylation patterns. Understanding these alterations is …

A novel multimodal deep learning model for preoperative prediction of microvascular invasion and outcome in hepatocellular carcinoma

F Wang, Q Chen, Y Chen, Y Zhu, Y Zhang… - European Journal of …, 2023 - Elsevier
Background Accurate preoperative identification of the microvascular invasion (MVI) can
relieve the pressure from personalized treatment adaptation and improve the poor prognosis …

DNA Methylation Biomarkers as Prediction Tools for Therapeutic Response and Prognosis in Intermediate-Stage Hepatocellular Carcinoma

CY Lu, CY Hsiao, PJ Peng, SC Huang, MR Chuang… - Cancers, 2023 - mdpi.com
Simple Summary Patients with hepatocellular carcinoma are often monitored using serum
markers such as alfa-fetoprotein. However, serum markers are not always accurate in …

Cellular, molecular and proteomic characteristics of early hepatocellular carcinoma

A Armakolas, V Dimopoulou, A Nezos… - Current Issues in …, 2022 - mdpi.com
Hepatocellular carcinoma (HCC) accounts for the majority of primary liver cancers. Early
detection/diagnosis is vital for the prognosis of HCC, whereas diagnosis at late stages is …

Radiomics-based nomogram as predictive model for prognosis of hepatocellular carcinoma with portal vein tumor thrombosis receiving radiotherapy

YM Huang, TE Wang, MJ Chen, CC Lin… - Frontiers in …, 2022 - frontiersin.org
Background This study aims to establish and validate a predictive model based on
radiomics features, clinical features, and radiation therapy (RT) dosimetric parameters for …

Diagnostic performance of abbreviated MRI for HCC detection in patients with non-alcoholic fatty liver disease

R Soundararajan, AB Pooja, P Gupta, A Gulati… - Journal of Clinical and …, 2024 - Elsevier
Background/Aim Hepatocellular carcinoma (HCC) surveillance is recommended in
nonalcoholic fatty liver disease (NAFLD)-related cirrhosis. The performance of ultrasound …

Context in medical imaging: the case of focal liver lesion classification

M Raboh, D Levanony, P Dufort… - Medical Imaging 2022 …, 2022 - spiedigitallibrary.org
There are many different sources of information beyond the actual images that serve to
inform radiologists when they are making diagnoses. Therefore, it is important to include …

An Investigative Analysis of Therapeutic Strategies in Hepatocellular Carcinoma: A Raetrospective Examination of 23 Biopsy-Confirmed Cases Emphasizing the …

A Zgura, MC Grasu, RL Dumitru, L Toma, L Iliescu… - Cancers, 2024 - mdpi.com
Simple Summary This retrospective study focused on 23 patients diagnosed with
Hepatocellular Carcinoma (HCC), utilizing the Liver Imaging Reporting and Data System (LI …

Gadoxetic acid-enhanced MRI features for predicting treatment outcomes of early hepatocellular carcinoma (< 3 cm) after transarterial chemoembolization

BC Lee, YY Jeong, SH Heo, HO Kim, C Park… - Academic …, 2022 - Elsevier
Rationale and Objectives Magnetic resonance imaging (MRI) is the most useful imaging tool
for small hepatocellular carcinoma (HCC) evaluation. Patients undergoing transarterial …