Metastatic Cancer Clinical Trials
A listing of Metastatic Cancer medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.
Found 1,230 clinical trials
A Real-world Study on the Treatment of Non-small Cell Lung Cancer With Leptomeningeal Metastasis in China
This is a retrospective and prospective study planned to include NSCLC patients with Leptomeningeal metastasis (LM) and treated with antitumor therapy after 2018, from multiple centers such as the First Affiliated Hospital of Guangzhou Medical University, Guangdong Sanjiu Brain Hospital, etc., aiming to establish a database related to the treatment …
Development and Prospective Validation of a Digital Pathology-based Artificial Intelligence Diagnostic Model for Pan-cancer Lymphatic Metastasis
The goal of this diagnostic test is to develop an artificial intelligence (AI)-based pan-cancer universal diagnostic model for detecting pathological lymph node metastasis (LNM), and prospectively evaluate its apllication value in the real-world clinical practice. Investigators will compare the diagnostic performance (sensitivity, specificity, etc.) of the AI model and routine …
Minimal Invasive Axillary Staging and Treatment After Neoadjuvant Systemic Therapy in Node Positive Breast Cancer
Today, the majority of clinically node positive (cN+) breast cancer patients is treated with neoadjuvant systemic therapy (NST). Axillary staging and treatment after NST in cN+ patients are areas of controversy. Patients with a pathological complete response (pCR) of the axillary lymph nodes are not expected to benefit from axillary …
PSMA PET for Treatment Response evaLuation of systemIC Therapies in prostAte caNcer (PELICAN)
This prospective clinical study aims to evaluate the predictive power of PSMA PET imaging in patients with advanced prostate cancer who are receiving systemic drug therapies. The primary goal is to identify prognostic factors derived from PSMA PET imaging. These factors include the number of cancer lesions, the size of …
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 …
