View clinical trials related to Carcinoma, Hepatocellular.
Filter by:N-acetylcysteine (NAC), a glutathione precursor and potent antioxidant, is known as a liver protector. As a steroid preparation, dexamethasone is known to have efficient anti-inflammation and immunosuppression effects. N-acetyl cysteine and Dexamethasone's roles in preventing post-embolization syndrome following TACE have each been researched individually in the past. Up until now, no study has been done that has compared dexamethasone and NAC in post-embolization syndrome. With this study, we aim to study the efficacy of combining dexamethasone with N-acetyl cysteine in the prevention of post-embolization syndrome within 72 hours among patients who undergo transarterial chemoembolization for HCC.
New algorithms for processing CT acquisitions, based on artificial intelligence, have been reported to improve acquisition quality. Thats' why it's possible to imagine that new scan post-processing algorithms enable better detection and characterization of hepatocellular carcinoma lesions than with standard reconstructions. DLIR reconstructions could even match with MRI detection. The aim of the study is to compare the detection and characterization of hepatic lesions according to the LI-RADS classification in CT with DLIR artificial intelligence reconstruction, compared with ASIR-V reconstruction and the gold standard of MRI.
To compare the clinical outcomes of Lenvatinib treatment alone or Lenvatinib + ADI-PEG20 combination treatment in advanced HCC patients with BCLC stage C.
The goal of this in-silico clinical trial is to learn about the usability and clinical effectiveness of an interpretable deep learning framework (VAE-MLP) using counterfactual explanations and layerwise relevance propagation for prediction of post-hepatectomy liver failure (PHLF) in patients with hepatocellular carcinoma (HCC). The main questions it aims to answer are: - To investigate the usability of the VAE-MLP framework for explanation of the deep learning model. - To investigate the clinical effectiveness of VAE-MLP framework for prediction of post-hepatectomy liver failure in patients with hepatocellular carcinoma. In the usability trial the clinicians and radiologists will be shown the counterfactual explanations and layerwise relevance propagation (LRP) plots to evaluate the usability of the framework. In the clinical trial the clinicians and radiologists will make the prediction under two different conditions: with model explanation and without model explanation with a washout period of at least 14 days to evaluate the clinical effectiveness of the explanation framework.
This is an multi-center, single arm, exploratory study to evaluate the efficacy and safety of anlitinib combined with TQB2450 in patients with advanced hepatocellular carcinoma （HCC）who failed prior immune checkpoint inhibitor therapies.
Although resection provided survival benefit for selected HCC patients with PVTT, the recurrence rate is still high for those patients. It is still unknown whether perioperative Sintilimab, a PD-1antibody, plus bevacizumab biosimilar and TACE-HAIC will improve the survival for those patients. We initialed this phase 2 clinical trial to prove the perioperative therapy.
This study aims to determine the predictive effect of ATG10 and IL6 genetic polymorphisms in safety and efficacy of sorafenib used for the treatment of Egyptian HCC patients. Moreover, this study will determine the association between genetic polymorphisms of ATG10 and IL6 with HCC severity.
Providing more theoretical basis for the prediction of the efficacy of advanced HCC and helping select better advantaged population of HCC immunotherapy to maximize the benefits of patients By exploring the relationship between the changes of PD-1 expression in peripheral blood T lymphocytes and the clinical efficacy before and after the use of PD-1 / PD-L1 inhibitors.
The implementation of liquid biopsy in clinical practice has been favored by the rapid development of genome sequencing techniques designed to analyze mutations in ctDNA. Among these, the Next generation sequencing (NGS) is a technique that consists in sequencing several genomes in a short time span, collecting information about a wider range of genomic alterations, using small quantities of genetic material. It is used to identify potential circulating dynamic biomarkers of treatment sensitivity or resistance in a real word multi-pathology evaluation. In this way, defining the mutational status of clinical relevance genes in real world, as a predictive biomarker to identify those patients most likely to benefit from target therapy, offers the potential to optimize access to further therapies. The aim of this study is to evaluate the real-world prevalence of clinically useful mutations in patients who are receiving therapy for advanced and locally advanced solid tumor through liquid biopsy.
The purpose of this study is to determine whether the combination of subcutaneous DRP-104 in combination with intravenous Durvalumab is safe and yields a clinically compelling antitumor activity measured as based on objective response rate (ORR, assessed by RECIST 1.1). Secondary objectives include progression-free survival (PFS) and overall survival (OS).