Active clinical trials for "Carcinoma"

This project focuses on the early prediction and diagnosis of radiation-induced brain injury in nasopharyngeal carcinoma patients. Based on the big data of imaging and serum metabonomics samples, combined with the machine learning analysis method， dynamic evolution mode of radio-metabolomics characteristics was analyzed . The potential internal relationship between brain structure and serum metabolic changes was explored, and the individualized prediction model was constructed to screen out the high-risk patients with brain injury after tumor radiotherapy, so as to provide reference for the diagnosis of radiation-induced brain injury caused by tumor. radiotherapy Intelligent diagnosis provides a new theoretical and practical basis.

This project intends to perform CTC PD-L1 imaging, exosomal PD-L1 protein detection, and exosomal LAG-3 protein detection, so as to resolve the functional marker profiles of immunotherapy in the peripheral blood of HCC patients and comprehensively present the responsiveness of patients to immunotherapy.

The goal of the study is to establish a cancer registry to facilitate research and assist in the identification of additional risk factors for hepatocellular carcinoma. The main objectives are: provide a mechanism to store the information about subjects with hepatocellular carcinoma use of tissue samples for translational/further research purposes

The goal of this cross-sectional study is to evaluate epigenetic modifications in gastric carcinogenesis, mainly in H. pylori gastritis vs gastric carcinoma. The main question[s] it aims to answer are: How does H. pylori infection cause gastric cancer? Can DNA methylation and other epigenetic changes predict and affect the development of gastric cancer? Formalin-fixed-paraffin-embedded tissue specimens will be obtained and reviewed for comparison between epigenetic changes in H. pylori gastritis and gastric adenocarcinoma.

Developing a deep learning model based on contrast-enhanced ultrasound (CEUS) to predict the prognosis of hepatocellular carcinoma (HCC) and aid choose operation decisions

Due to the scarcity of data on prognostic and predictive influence on CCA, epidemiological studies evaluating these factors need to be developed in patients with CCA. Therefore, the investigators want to evaluate the profile of patients in the real world and from various parts of the world, describing prognostic factors such as CD4 dosage, time of HIV infection, evaluation of viral load, diagnosis of AIDS, geographic region of diagnosis and treatment, clinical staging, medications concomitant with QRT (risk of drug interactions), comorbidities (possible impact on dose-intensity), use of HAART, time of use of HAART, radiotherapy modality (conventional 3D vs Modulated Beam Intensity [IMRT], response to Nigro vs CTII regimens, as well as comparing clinical outcomes with patients without HIV infection.

To compare 2 different image creation/processing techniques during a standard CT scan in order to "see" problems in the liver and learn which method provides better image quality. The techniques use new artificial intelligence software to decrease image noise, which helps the radiologist to evaluate.

This pilot clinical trial studies how well copper Cu-64 TP3805 positron emission tomography (PET)/computed tomography (CT) works in imaging patients with urothelial cancer undergoing surgery or biopsy. Radioactive tracers, such as copper Cu-64 TP3805, may bind to tumor cells. PET/CT imaging performed with copper Cu-64 TP3805 may be a better way to detect urothelial cancer.

This trial studies how well magnetic resonance whole body diffusion-weighted imaging works in finding cancer that has spread to the bone or lymph nodes (metastasis) in participants with high-risk prostate cancer. Diagnostic procedures, such as magnetic resonance whole body diffusion-weighted imaging (a method to show how water moves in a certain area) may help find bone or lymph nodes metastasis.

Compare patients' feelings in terms of swallowing ability assessed by the overall score of MD Anderson Dysphagia Inventory (MDADI) 2 years after starting treatment between patients who have been treated with IMRT and those who were treated by transoral surgery for a squamous cell carcinoma of the early stage oropharynx.