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 14,299 clinical trials
Prospective Observational Study on Outcome of High-precision Hypo-fractionated Radiotherapy in Metastatic Breast Cancer (PRECISE-M)
This study is a prospective observational study on outcomes of high precision hypo-fractionated radiotherapy in breast cancer with distant metastasis.
Prospective Observational Trial to Evaluate Quality of Life After Definitive Chemoradiation in Patients With Anal Cancer (LANACARE)
Observational study to evaluate longitudinal quality of life according to standardized EORTC questionaires as well as functional outcome, oncological outcome and toxicity in patients treated with definitive chemoradiation for anal cancer
An Integrated Algorithm for Surgical Intervention in Chronic Lymphedema After Breast Cancer Treatment: The Basel Lymphedema Protocol
The primary objective of the investigators is to develop an integrated algorithm for surgical treatment of chronic lymphedema after breast cancer surgery. This will be achieved by retrospectively analysing a subgroup of patients who had breast cancer-related surgery prior to lymphedema.
Evaluation of Quality of Life and Self-assurance and Social Support Earned for Non-cellular Head Cancer
Research objectives: To evaluate the quality of life of patients before and after surgery for benign head tumors ( meningiomas) and malignant tumors at stage I, II and III, to assess whether it depends on the size of the tumor, type of tumor, malignancy and its location evaluation of the …
Predicting Immunotherapy Response and Survival of Liver Cancer Patients Using Artificial Intelligence and Radiomics (Radiology-AI-Liver)
CT imaging data and MR imaging data from liver cancer (hepatocellular carcinoma) patients prior to the initiation of immunotherapy (and possibly also after treatment) will be collected. The processing pipeline includes automatic tumor segmentation, radiomics feature extraction, feature selection, and construction of a classification model.
Small Extracellular Vesicle miRNAs as Predictive Biomarkers for Immunochemotherapy Efficacy in Extensive-stage Small Cell Lung Cancer
This study aims to investigate the clinical value of small extracellular vesicle (sEV) miRNAs as predictive biomarkers for immunochemotherapy efficacy in extensive-stage small cell lung cancer (ES-SCLC). ES-SCLC represents a highly aggressive neuroendocrine malignancy, where the current standard first-line treatment combining immune checkpoint inhibitors with chemotherapy lacks predictive biomarkers for …
NIS to Examine the Effectiveness and Safety of Durvalumab and Olaparib in Patients With Endometrial Cancer (DUOLife)
This is a German multi-center, prospective, non-interventional study (NIS) to collect real-world clinical and patient-reported outcome (PRO) data in patients with primary advanced (FIGO stage III or IV) or recurrent endometrial cancer (EC) receiving first-line (1L) regimens with Carboplatin/Paclitaxel/Durvalumab (CPD) followed by maintenance therapy with durvalumab or durvalumab and olaparib …
Ultrasensitive SERS Platform With Highly Efficient Enrichment of Analyte for Screening and Diagnosis of Epithelial Ovarian Cancer
This project is an open, single-center, prospective study aimed at developing high-sensitivity, high-specificity enrichment SERS chips using femtosecond laser processing technology. It involves extracting information from blood samples of ovarian cancer patients and normal controls, specifically identifying cancer and non-cancer signals. The study will construct a statistical algorithm model for …
Development and Application of an Artificial Intelligence-driven Accurate Identification Model for Gastric Cancer Lymph Node Metastasis
The clinical trial titled "Development and Application of an Artificial Intelligence-Driven Accurate Identification Model for Gastric Cancer Lymph Node Metastasis" aims to enhance the detection and treatment of gastric cancer through the utilization of cutting-edge artificial intelligence (AI) technology. This study will develop an AI-driven model designed to accurately identify …
Identification and Characterisation of Sleep Disorders in a Population of Patients With Non-small Cell Lung Cancer
This exploratory study will identify and characterise disorders frequently reported by patients as contributing to or altering their quality of life. This will enable a decision tree to be drawn up for diagnosis, referral and treatment of the sleep disorders collected, tailored to patients in this population. This decision tree …
