Neoplasm Metastasis Clinical Trials
A listing of Neoplasm Metastasis medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.
Found 991 clinical trials
Determining the Prevalence of Primary and Secondary Central Line Associated Blood Stream Infection (CLABSI) at the Tertiary Care Hospital
Review key history and clinical examination findings of cases with CLABSI. Microbiological diagnosis and Culture sensitivity tests by automated Bact Alert and Vitek2c systems for CLABSI. Determine antibiotic biogram of each organism isolated Determine the prevalence of occurrence of Primary or secondary Blood stream infection, causing microorganism, and predisposing factors.
AI & Radiomics for Stratification of Lung Nodules After Radically Treated Cancer
This study will assess the utility of radiomics and artificial intelligence approaches to new lung nodules in patients who have undergone radical treatment for a previous cancer.
An Analysis of Adverse Events and Satisfaction Outcomes of Women Who Underwent Primary and Secondary Breast Augmentation Using Silimed® Breast Implants
The study investigates the safety and performance of Silimed® silicone gel breast implants with a textured surface and Silimed® silicone gel breast implants with polyurethane coated surface. Female patients who underwent primary or secondary breast augmentation using Silimed® breast implants will be followed-up through 10 years. The safety of each …
Evaluation of a Mixed Meal Test for Diagnosis and Characterization and Type 3c Diabetes Mellitus Secondary to Pancreatic Cancer and Chronic Pancreatitis (DETECT)
The Coordinating and Data Management Center (CDMC) at MD Anderson Cancer will be responsible for the coordination and data management for the Evaluation of a mixed meal test for Diagnosis and characterization of Type 3c diabetes mellitus secondary to pancreatic cancer and chronic pancreatitis (DETECT), which is part of the …
Artificial Intelligence-based Model for the Prediction of Occult Lymph Node Metastasis and Improvement of Clinical Decision-making in Non-small Cell Lung Cancer
This nationwide, multicenter observational study aims to develop and validate a multimodal artificial intelligence (AI) model for detecting occult lymph node metastasis in early-stage non-small cell lung cancer (NSCLC) patients. Despite advances in lymph node staging, 12.9%-39.3% of occult nodal metastasis cases remain undetected preoperatively, affecting treatment decisions. This study …
AI-guided Prognostication and Cranial Radiotherapy Optimization in EGFR-TKI-treated Non-small Cell Lung Cancer Patients With Baseline Brain Metastases
The goal of this observational study is to extract the imaging features of brain lesions and primary lung lesions in NSCLC patients with brain metastases by deep learning, as well as common clinicopathological parameters, which are used to construct a multimode model that can accurately predict the treatment efficacy and …
Value of Super-resolution Ultrasonography in Differentiating Benign and Malignant Lymph Nodes
Lymph nodes are one of the most important components of the human immune system, and superficial lymph node enlargement lacks specificity. Ultrasound examination has been widely used in the diagnosis of lymph node lesions and is of great significance in distinguishing between benign and malignant. However, the two-dimensional and Doppler …
Clinical Validation and Benchmarking of Top Performing ctDNA Diagnostics - Colorectal Cancer
Improving personalized cancer treatments and finding the best strategies to treat each patient relies on using new diagnostic technologies. Currently, for colorectal cancer, the methods used to decide who gets additional post-surgery treatment are suboptimal. Some patients get too much treatment, while others do not get enough. There is a …
The Molecular Basis of Inherited Reproductive Disorders
The goal of this study is to learn more about the genes that control puberty and reproduction in humans.
Transforming Rehabilitation: Personalised Care for a Better Quality of Life
General aim of the project: building and validating an Artificial Intelligence (AI)-based prediction model on rehabilitation outcomes (total joint replacement - TJR - of the hip and knee for primary and secondary osteoarthritis) Purpose of this specific approval request: identifying data from patients admitted for total joint replacement surgery (hip …