neoplasms Clinical Trials
A listing of neoplasms medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.
Found 14,196 clinical trials
Dual-Channel Near-Infrared Autofluorescence Imaging and AI Analysis to Locate Parathyroid Glands (PTFinder)
This study tests PTFinder, a dual-camera system that makes parathyroid glands glow on screen by capturing their natural near-infrared autofluorescence. After a thyroid or parathyroid operation, the removed tissue is scanned with PTFinder and then checked again under normal white light. We will measure how fast (seconds) and how accurately …
Glucagon-like Peptide-1 Receptor PET/CT in GLP-1R Related Disease
To evaluate the potential usefulness of 68Ga/18F-Exendin 4 positron emission tomography/computed tomography (PET/CT) for the diagnosis of primary and metastatic lesions in various GLP-1R-related disease patients.
3D Specimen Maps for RT Planning
The primary objective of this study is to measure the impact of patient-specific 3D specimen maps on adjuvant radiation treatment volumes and doses to critical organs. All patients will receive standard-of-care post-operative radiotherapy not impacted by the experimental 3D specimen maps. The secondary objective is to demonstrate the feasibility of …
UK Islet Autoantibody Registry
Type 1 diabetes (T1D) is a life-long condition where the immune system destroys part of the body (the pancreas) which makes the chemical, insulin. Insulin is needed to control blood sugar levels. Treatment involves life-long insulin replacement by injection or insulin pump. Previous research has shown that the development of …
MelPRO-0322 (CRISTINA Trial) [miCrobiome pRedIctS aPD1 effecTivnes In melaNoma pAtietns]
The goal of this observational study is to learn about if new biomarkers such as gut microbiota and molecular genetics melanoma features could predict clinical radiological and pathological response to neoadjuvant monotherapy with anti-PD1 agents in patients with resectable stage IIIB-D melanoma. The main questions it aims to answer are: …
Ultrasound Transformation of Myomas During Relugolix-Estradiol-Norethisterone Treatment: The MySaturn Study
Uterine fibroids are benign tumors originating from the uterine muscle, affecting up to 70% of women by their 50s. Risk factors include African descent, nulliparity, obesity, and diabetes. While many fibroids are asymptomatic, 25-50% of affected women experience symptoms like heavy menstrual bleeding, pelvic pain, and pressure-related issues. Accurate diagnosis …
Surgical Strategy of NSCLC Patients After Neo-adjuvant or Induction Treatment
Lung cancer is one of the most common malignant tumors worldwide and has the highest mortality rate among malignant tumors. In recent years, with the gradual development of therapeutic modalities such as targeted therapy and immunotherapy, the overall survival of lung cancer patients has improved significantly. However, late tumor staging …
A Single-cell Approach to Identify Biomarkers of Efficacy and Toxicity for ICI in NSCLC
The main goal of this prospective non-interventional exploratory study is to characterize the tumor micro-environment of advanced NSCLC in single-cell resolution, prior to immune checkpoint blockade exposure, and correlate the findings to clinical outcome. This approach will allow to generate new hypotheses regarding mechanism of action of ICI and (primary) …
Intraoperative Neuromuscular Monitoring and Its Impact on Pre- and Postoperative Acoustic Outcomes in Thyroid Surgery
This study examines the impact of intraoperative recurrent laryngeal nerve monitoring signal changes on the postoperative voice quality of thyroid surgery patients. By analyzing extensive surgical data and postoperative voice recordings, the investigation seeks to identify patterns in the variations of these signals and their correlation with voice quality outcomes. …
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
