Found 1,877 clinical trials
APOLLO 11, Consortium of Italian Centers Involved in Treatment of Patients With Lung Cancer Treated With Innovative Therapies: Real World Data and Translational Reaserch
APOLLO 11 main aim is to build a strong Italian long-lasting lung cancer network (in around 48 Italian centres) on real world data and translational research by creating a decentralized long-term national database (settle locally in each centre) and a "virtual" multilevel biobank in each centre. Besides, APOLLO 11 will …
A Multicenter Study in Bronchoscopy Combining Stimulated Raman Histology With Artificial Intelligence for Rapid Lung Cancer Detection - The ON-SITE Study
The ON-SITE study represents a prospective, observational study focused on the training/tuning and pivotal validation of deep learning algorithms that detect cell/tissue morphology suspicious for cancer in biopsies of peripheral lung nodules/masses and mediastinal/hilar lymph nodes imaged with the NIO Laser Imaging System in the procedure room without requiring traditional …
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 …
Prospective Data Collection Initiative on Thoracic Malignancies
Survival after cancer diagnosis strongly depends on local tumor extent, lymph node involvement and the presence of distant metastases. However, there remains great inter-patient variability regarding treatment outcome. A combination of molecular factors, biochemical factors, histopathological features, genomic profile, environmental factors and other clinical factors are likely to influence prognosis …
Biomarkers in Patients With Respiratory Tract Dysplasia or Lung Cancer, Head and Neck Cancer, or Aerodigestive Tract Cancer and in Normal Volunteers
RATIONALE: Studying samples of sputum and tissue in the laboratory from patients with dysplasia or cancer may help doctors identify and learn more about biomarkers related to cancer. It may also help the study of cancer in the future. PURPOSE: This laboratory study is looking at biomarkers in patients with …
Prospective Non-Interventional Study Comparing Osimertinib +/- Chemotherapy for EGFR-Mutated NSCLC Patients
The goal of the study is to collect data on patients treated outside of a clinical trial (in routine clinical practice) with standard of care osimertinib with or without chemotherapy in Epidermal Growth Factor Receptor (EGFR)-mutant Non-Small Cell Lung Cancer (NSCLC) to better understand the safety and effectiveness of these …
Evaluation of Cell Changes in Blood and Tissue in Cancers of the Lung, Esophagus and Lung Lining
Background Chromatin is is the structural building block of a chromosome. It is found inside the nucleus of the cell and consists of a complex of DNA and protein. Cancers of the lung, pleura (lung lining) and esophagus show profound changes in chromatin structure that may affect the course of …
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 …
The Rise in Robotic Atypical Segmentectomies
This study investigates the increased rate of robotic atypical segmentectomies. Segmentectomy refers to removing a section of a lobe of the lung. Reviewing patients' data retrospectively may help researchers determine whether robotic surgery has led to an increase in atypical segmentectomy.
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.
