Advanced Filters
noise
Found 1,843 clinical trials
A Aaron Bungum

Thoracic Specimen Registry

The purpose of the registry will be to support ongoing research in the etiology, early diagnosis, clinical management, and prognosis of lung cancer and other cancers and diseases of the thorax by developing a complete repository of specimens from patients with thoracic disease including but not limited to suspected lung …

18 years of age All Phase N/A
c chief physician

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 …

years of age All Phase N/A
F Fabrizio Minervini, MD, PhD

Role of Intrapulmonary Lymph Nodes in Patients With NSCLC and Visceral Pleural Invasion

Background: Lung cancer is the leading cause of cancer related death worldwide. More than 80% of all lung tumors are Non-Small Cell Lung Cancers (NSCLC). Lymph node staging has a prognostic value and is crucial to establish the optimal treatment strategy in individual patients. It remains unknown whether dissecting the …

18 years of age All Phase N/A
K Karly Pierson, RN, CCRP

Real World Registry for Use of the Ion Endoluminal System

The primary objective of this study is to evaluate the performance of the Ion Endoluminal System with real-world use for pulmonary lesion localization or biopsy.

18 years of age All Phase N/A
C Chen Haiquan, MD

Survival Validation and Gene Mutations of N Descriptors in the Ninth Edition of the TNM Classification for Lung Cancer

The International Association for the Study of Lung Cancer Staging Committee recently unveiled the ninth edition of TNM staging system for lung cancer. This study aims to explore survival outcomes, stage grouping, and gene mutations in N descriptors of this new classification system.

years of age All Phase N/A
A Alessandro Del Conte

Incidence and Characterization of Drivers Oncogenes in the Population With Lung Cancer Afferents to the Cancer Institute in Aviano (IN.ON.D.)

According to an analysis by Memorial Sloan Kettering Cancer Center patients who receive a target therapy having an oncogenic driver mutation live longer than those who do not receive it. In addition to that, therapies guided by analysis on mutations identified in ct-DNA had a favorable impact, allowing longer survival. …

years of age All Phase N/A

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 …

18 years of age All Phase N/A
G Gustavo Cumbo-Nachelli, MD

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 …

22 years of age All Phase N/A
Z Zhengfei Zhu, MD

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 …

18 years of age All Phase N/A

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 …

18 years of age All Phase N/A

Simplify language using AI