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      Latest advances in hepatocellular carcinoma management and prevention through advanced technologies

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          Abstract

          Background

          Hepatocellular carcinoma (HCC) is a common type of liver cancer, with a high mortality rate. Hepatocellular carcinoma is a type of liver cancer that can be effectively managed through early detection and accurate diagnosis, followed by a personalized treatment plan that may include surgical resection, liver transplantation, minimally-invasive techniques, immunotherapy, or targeted therapy depending on the stage and severity of the cancer.

          Main body of the abstract

          This paper discusses recent advances in the early detection, management, and prevention of HCC. The use of newer imaging techniques, such as Magnetic resonance imaging (MRI) and contrast-enhanced ultrasound, along with image segmentation technology and deep learning models, have greatly enhanced the accuracy of HCC detection and diagnosis. Minimally-invasive techniques, such as thermal ablation and radiofrequency ablation, have allowed for more precise and targeted destruction of tumors, while Nanoparticles, immunotherapy and targeted therapy have shown promise in the management of advanced stage HCC. The use of Artificial intelligence (AI) and machine learning has revolutionized HCC research, aiding in the identification of high-risk patients and predicting outcomes. Lifestyle modifications, such as weight management, alcohol avoidance, and hepatitis B vaccinations, can play a critical role in preventing HCC development.

          Short conclusion

          Recent advances in early detection, management, and prevention of HCC have shown promise in improving patient outcomes. The use of newer imaging techniques, minimally-invasive techniques, immunotherapy, targeted therapy, and AI and machine learning have greatly enhanced HCC research and management, while lifestyle modifications can play a critical role in prevention. However, further research is required to fully understand the potential benefits of nanoparticles, traditional Chinese medicine and herbal medicines in HCC treatment.

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          Most cited references118

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          AASLD practice guidance on prevention, diagnosis, and treatment of hepatocellular carcinoma

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            Changing epidemiology, global trends and implications for outcomes of NAFLD

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              Clinical application and detection techniques of liquid biopsy in gastric cancer

              Gastric cancer (GC) is one of the most common tumors worldwide and the leading cause of tumor-related mortality. Endoscopy and serological tumor marker testing are currently the main methods of GC screening, and treatment relies on surgical resection or chemotherapy. However, traditional examination and treatment methods are more harmful to patients and less sensitive and accurate. A minimally invasive method to respond to GC early screening, prognosis monitoring, treatment efficacy, and drug resistance situations is urgently needed. As a result, liquid biopsy techniques have received much attention in the clinical application of GC. The non-invasive liquid biopsy technique requires fewer samples, is reproducible, and can guide individualized patient treatment by monitoring patients' molecular-level changes in real-time. In this review, we introduced the clinical applications of circulating tumor cells, circulating free DNA, circulating tumor DNA, non-coding RNAs, exosomes, and proteins, which are the primary markers in liquid biopsy technology in GC. We also discuss the current limitations and future trends of liquid biopsy technology as applied to early clinical biopsy technology.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Egyptian Liver Journal
                Egypt Liver Journal
                Springer Science and Business Media LLC
                2090-6226
                December 2024
                January 02 2024
                : 14
                : 1
                Article
                10.1186/s43066-023-00306-3
                12fa2151-31db-43b3-8e19-54fcd3f7cc17
                © 2024

                https://creativecommons.org/licenses/by/4.0

                https://creativecommons.org/licenses/by/4.0

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