View clinical trials related to Hepatocellular Carcinoma.
Filter by:Barriers that prevent healthcare methods supported by science from being adopted in the real world have led to low-quality, inequitable medical care. Implementation science aims to bridge the evidence-to-practice gap but still lacks simple and convenient methods to identify implementation barriers, systematically track which strategies work to improve care, and provide accessible data and expert recommendations to guide implementation strategy selection for use in research and practice. Project OASIS (Optimizing Approaches to Select Implementation Strategies) will conduct a hybrid type-III, cluster-randomized trial of a new decision aid tool that matches site variables and barriers to successful implementation strategies.
This study intends to evaluate the efficacy and safety of blank- microsphere transcatheter arterial embolization-hepatic arterial infusion chemotherapy of oxaliplatin, 5-fluorouracil and leucovorin (bTAE-HAIC) plus Lenvatinib and Camrelizumab for patients with intermediate-advanced huge hepatocellular carcinoma.
This study represents a phase I clinical trial that utilizes natural killer (NK) cell therapy for patients diagnosed with liver cancer, specifically those classified as Child-Pugh A and falling within the Barcelona Clinic Liver Cancer (BCLC) stages B or C. The expected results include determining the suitable treatment dosage, identifying any resulting side effects, and calculating the average duration of progression-free survival. The target group for the study consists of all individuals diagnosed with liver cancer. At the same time, the practical sample consists of those who received medical care for liver cancer at Cipto Mangunkusumo Hospital (RSCM) between May and December 2022. The chosen research sample comprises liver cancer patients who fulfill the predetermined participation criteria. The necessary sample size for discerning appropriate treatment dosages and the occurrence rate of potential side effects shall consist of 2-3 liver cancer patients who are administered autologous NK cells. The process for isolating these NK cells adheres to the guidelines established by Miltenyi Biotec.
The goal of this clinical trial is to compare HAIC concurrently with sequentially combined with targeted and immunotherapies in terms of efficacy and safety in patients with potentially resectable intermediate and advanced HCC (CNLC stage IIa~IIIa). The main questions it aims to answer are: - Does a "strong combination" regimen of three simultaneous treatments (HAIC, targeted agents and immunotherapy) definitely result in a higher surgical conversion rate and better survival benefit? - Can the combination of targeted and immunotherapies based on patients' response to HAIC therapy avoid over-treatment of some patients without affecting the surgical conversion rate and overall survival? Participants will be randomly assigned to receive either HAIC concurrently or sequentially combined with targeted and immunotherapies. Researchers will compare concurrent treatment group with sequential treatment group to see if there are different in terms of the conversion resection rate, long-term survival, and safety.
The purpose of this randomized, double-blind trial was to compare the effects of preemptive Oxycodone and sufentanil at the same dose on pain and inflammatory response after transcatheter arterial chemoembolization (TACE) of hepatocellular carcinoma. To study the effect of single dose intravenous injection of Oxycodone and sufentanil before TACE on inflammatory reaction after TACE; And (ii) evaluate the effects of different opioid drugs on pain and nausea/vomiting after TACE.
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.
This is a Phase 1, open-label, dose escalation and expansion study of MT-8421 (an Engineered Toxin Body (ETB)) as monotherapy and in combination with nivolumab in patients with selected advanced solid cancer types. MT-8421 is an investigational drug that specifically targets and depletes cytotoxic T-lymphocytes-associated protein 4 (CTLA-4) expressing cells in an effort to directly dismantle the tumor microenvironment for the treatment of patients with advanced solid tumors.
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.