[HTML][HTML] Chinese expert consensus on conversion therapy for hepatocellular carcinoma (2021 edition)

HC Sun, J Zhou, Z Wang, X Liu, Q Xie… - … surgery and nutrition, 2022 - ncbi.nlm.nih.gov
Recent advances in systemic and locoregional treatments for patients with unresectable or
advanced hepatocellular carcinoma (HCC) have resulted in improved response rates. This …

[HTML][HTML] Management and treatment of hepatocellular carcinoma with immunotherapy: a review of current and future options

S Ghavimi, T Apfel, H Azimi, A Persaud… - Journal of Clinical …, 2020 - ncbi.nlm.nih.gov
With mortality rates of liver cancer doubling in the last 20 years, this disease is on the rise
and has become the fifth most common cancer in men and the seventh most common …

Automatic liver tumor segmentation on dynamic contrast enhanced mri using 4D information: Deep learning model based on 3D convolution and convolutional lstm

R Zheng, Q Wang, S Lv, C Li, C Wang… - … on Medical Imaging, 2022 - ieeexplore.ieee.org
Objective: Accurate segmentation of liver tumors, which could help physicians make
appropriate treatment decisions and assess the effectiveness of surgical treatment, is crucial …

[HTML][HTML] Deep learning for image-based liver analysis—A comprehensive review focusing on malignant lesions

S Survarachakan, PJR Prasad, R Naseem… - Artificial Intelligence in …, 2022 - Elsevier
Deep learning-based methods, in particular, convolutional neural networks and fully
convolutional networks are now widely used in the medical image analysis domain. The …

[HTML][HTML] Magnetic fields and cancer: epidemiology, cellular biology, and theranostics

ME Maffei - International Journal of Molecular Sciences, 2022 - mdpi.com
Humans are exposed to a complex mix of man-made electric and magnetic fields (MFs) at
many different frequencies, at home and at work. Epidemiological studies indicate that there …

An automatic method for segmentation of liver lesions in computed tomography images using deep neural networks

JDL Araújo, LB da Cruz, JL Ferreira… - Expert Systems with …, 2021 - Elsevier
Liver cancer is one of the major causes of death by cancer. The early detection of lesions in
the liver provides a better chance of treatment and cure of the disease. Computed …

[HTML][HTML] Chip collection of hepatocellular carcinoma based on O2 heterogeneity from patient tissue

S Baek, HS Ha, JS Park, MJ Cho, HS Kim… - Nature …, 2024 - nature.com
Hepatocellular carcinoma frequently recurs after surgery, necessitating personalized clinical
approaches based on tumor avatar models. However, location-dependent oxygen …

An efficient classification of cirrhosis liver disease using hybrid convolutional neural network-capsule network

H Shaheen, K Ravikumar, NL Anantha… - … Signal Processing and …, 2023 - Elsevier
Liver cirrhosis is the diffuse and advanced phase of liver disease. Several morphological
methods are used for imaging modalities. But, these modalities are biased and lack in …

Computed tomography for the diagnosis of hepatocellular carcinoma in adults with chronic liver disease

T Nadarevic, V Giljaca, A Colli… - Cochrane database …, 2021 - cochranelibrary.com
Background Hepatocellular carcinoma occurs mostly in people with chronic liver disease
and ranks sixth in terms of global incidence of cancer, and fourth in terms of cancer deaths …

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 …