liver-disorders Clinical Trials
A listing of liver-disorders medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.
Found 1,510 clinical trials
On-treatment Biomarkers in Metastatic Colorectal Cancer for Life
By virtue of an increased strategic use of cytotoxic and biological agents, and more options for locoregional treatment, the survival of patients with metastatic colorectal cancer (mCRC) has improved considerably in the past decades. The personalized approach to systemic treatment is further aided by the use of complementary molecular biomarkers. …
Cirrhotic Cardiomyopathy Based on Point-of-care Echocardiography, Biomarkers and Histology
Cirrhotic cardiomyopathy is associated with increased risk of complications like hepatorenal syndrome, refractory ascites, impaired response to stressors including sepsis, bleeding or transplantation, poor health related quality of life and increased morbidity and mortality. Left ventricular diastolic dysfunction (LVDD) is associated with risk of hepatorenal syndrome (HRS) , septic shock. …
Muscle Mass Via UltraSound in Cirrhosis (MMUSCLE)
The goal of this observational cohort study is to learn about loss of muscle mass and muscle strength (sarcopenia) in patients with cirrhosis. The main question[s] it aims to answer are: what is the prevalence and development of sarcopenia in cirrhosis? what is the role of malnutrition? Participants will undergo …
Study for the Multidimensional Analyses of Resistance and Toxicity to Immune- and Targeted-therapies.
Novel treatment modalities like targeted therapies and Immune checkpoint inhibitors have revolutionised the therapeutic landscape in oncology and hematology, significantly improving outcomes even in clinical contexts in which little improvement had been observed for decades such as metastatic melanoma, lung cancer, and lymphoproliferative neoplasms such as chronic lymphoid leukemia or …
Biopsy After Radioembolization to Identify Changes in Tumor Cells From the Radiation
The purpose of this study is to study the way radioembolization works by collecting biopsy samples of participants' tumors after the procedure. This research may improve the way that radioembolization is performed, which could help people whose cancer has spread to the liver. The research may also provide information about …
SGLT-2 Inhibitors in the Treatment of Ascites
The goal of this observational study is to test the efficacy of glyphozines (SGLT-2 inhibitors) in the control of ascites in patients with liver cirrhosis in class A6-B9, according to the Child-Pugh classification, and type 2 diabetes mellitus. The investigators will compare patients belonging to the intervention group (A), who …
Optimizing Y90 Therapy for Radiation Lobectomy
HCC resection candidates with inadequate future liver remnant will be enrolled in this study. They will be treated with Y90 radioembolization to help grow the liver enough to undergo liver resection. There will be 2 Patient Groups. The first group of patients will be treated with Y90 dose and embolic …
The Optimal Number of Fiducial Marker for Stereotactic Body Radiotherapy
This is a clinical study focused on the use of fiducial marker-guided stereotactic body radiotherapy (SBRT) for treating malignant tumors, including lung, liver, pancreatic, and kidney/adrenal cancers. Here's a breakdown of the key components of the study: Study Design: Prospective, single-center, exploratory clinical study. Patient Enrollment: The study intends to …
Analysis of PD-L1, TMB, MSI and ctDNA Dynamics to Predict and Monitor Response to Immunotherapy in Metastatic Cancer.
This is an observational clinical trial, aiming to investigate whether the ctDNA dynamics could predict early response to ICIs in patients with advanced-stage cancer. Moreover, conventional tumor markers PD-L1, TMB and MSI are to be investigated for their combined prognostic values in ICI treatment.
Clinical Decision Biological Biomarker and Prognosis Prediction of Hepatocellular Carcinoma by Deep Learning
Developing a deep learning model based on contrast-enhanced ultrasound (CEUS) to predict the prognosis of hepatocellular carcinoma (HCC) and aid choose operation decisions
