Clinical trials: Lung Cancer Screening
Artificial Intelligence, Deep Learning
Development and Demonstration of Intelligent Assessment Based on Multi-modal Information Fusion for Tumor Risk and Diagnosis and Treatment
To improve the accuracy of risk prediction, screening and treatment outcome of cancer, we aim to establish a medical database that includes standardized and structured clinical diagnosis and treatment information, image features…
- Conditions
- Artificial Intelligence, Deep Learning, Lung Cancer, Lung; Node
- Trial name
- NCT06653478
- Testing
- No Intervention
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Lung Cancer Screening Program, Artificial Intelligence (AI)
Development of an Artificial Intelligence Model for the Identification and Prevention of Smoking-related Diseases.
The study is an interventional pilot study. The study is designed to be monocentric and it presents additional procedues.
- Trial name
- ARIA (NCT06626178)
- Testing
- Computed tomography (CT) scan low dose, Blood sampling, Tissue sampling (lung)
- Where
- Italy
- Volunteers
- 2,840 people, healthy volunteers welcome
- Sponsor
- Scientific Institute San Raffaele
Lung Cancer Screening
Understanding Lung Cancer Related Risk Factors and Their Impact
LUCIA aims to develop prediction models for the early diagnosis of lung cancer based on the identification of risk factors and deeper cellular knowledge, by recording real-world data; with risk assessment tools, non-invasive…
- Trial name
- LUCIA (NCT06473870)
- Where
- 5 sites in Belgium, Latvia and 1 more
- Volunteers
- 6,160 people, healthy volunteers welcome
- Sponsor
- Biobizkaia Health Research Institute
Lung Cancer Screening, Asbestos
Artificial Intelligence in Lung Cancer Screening
Single-center, non-profit, observational, retrospective study of collection of clinical and amnestic data and images to create, implement and develop a pilot model of an integrated virtual platform.
- Trial name
- INAIL BRIC (NCT06444373)
- Where
- Italy
- Volunteers
- 728 people, healthy volunteers welcome
- Sponsor
- Scientific Institute San Raffaele
Liquid Biopsy for Early Screening of Lung Cancer
A Prospective Interventional Study on Early Screening for Lung Cancer Using Liquid Biopsy
This project aims to establish the MERCURY pilot screening program as part of the "Love Lung Project," employing a novel concept of lung cancer screening with the assistance of low-dose computer tomography (LDCT).
- Trial name
- NCT06422637
- Testing
- Liquid Biopsy Early Screening
- Where
- China
- Volunteers
- 5,944 people, healthy volunteers welcome
- Sponsor
- The First Affiliated Hospital of Guangzhou Medical University
Smoking, Tobacco, Tobacco-Related Carcinoma
The Lung Screening, Tobacco and Health Project
The purpose of this study is to compare intensive telephone counseling (ITC) plus the nicotine patch vs. standard telephone counseling plus the nicotine patch (Usual Care; UC) among current smokers undergoing lung cancer…
- Conditions
- Smoking, Tobacco, Tobacco-Related Carcinoma, Tobacco Use, Lung Cancer Screening
- Trial name
- NCT03200236
- Testing
- Intensive Telephone Counseling (8 sessions) with nicotine replacement, Usual Care: Telephone counseling (3 sessions) with nicotine replacement
- Where
- 7 sites in United States
- Volunteers
- 1,114 people, healthy volunteers welcome
- Sponsor
- Georgetown University
Artificial Intelligence, Deep Learning
Artificial Intelligence System for Assessment of Tumor Risk and Diagnosis and Treatment
To improve the accuracy of risk prediction, screening and treatment outcome of cancer, we aim to establish a medical database that includes standardized and structured clinical diagnosis and treatment information, image features…
- Conditions
- Artificial Intelligence, Deep Learning, Lung Cancer, Lung; Node
- Trial name
- NCT05426135
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Lung Cancer, Screening
Initiative in LYon for Lung cAncer Screening Development - Prevalence Study
Screening at-risk subjects with low-dose computed tomography (CT) efficiently reduces lung cancer specific mortality. However screening efficiency relies on the at-risk population's criteria definition and its participation rate…
- Trial name
- ILYAD1 (NCT04240418)
- Testing
- Survey
- Where
- France
- Volunteers
- 4,595 people, healthy volunteers welcome
- Sponsor
- Hospices Civils de Lyon
Lung Cancer Screening
Lung Cancer Screening Protocol
The successful implementation of lung cancer screening across diverse setting requires working with the community and primary care practices.
- Trial name
- I-STEP (NCT03958253)
- Testing
- Toolbox for Lung Cancer Screening
- Where
- 7 sites in United States
- Volunteers
- 193 people, healthy volunteers welcome
- Sponsor
- Washington University School of Medicine
Neoplasm of Lung, Decision Support Techniques
Effect of Incidental Findings Information on Lung Cancer Screening Intent
This online randomized controlled trial seeks to determine if inclusion of incidental findings information in a lung cancer screening decision aid affects screening intent among screening-eligible individuals.
- Conditions
- Neoplasm of Lung, Decision Support Techniques, Mass Screening
- Trial name
- NCT04432753
- Testing
- Lung Cancer Screening Decision Aid with Incidental Findings Information, Lung Cancer Screening Decision Aid without Incidental Findings Information
- Where
- United States
- Volunteers
- 419 people, healthy volunteers welcome
- Sponsor
- UNC Lineberger Comprehensive Cancer Center
Lung Cancer Screening
PCORI-CER-1306-03385 Lung Cancer Screening Readiness Study
Investigators will administer a brief, anonymous survey at the Texas Academy of Family Physicians (TAFP) annual Primary Care Summit to better understand the readiness of primary care physicians in Texas to implement lung cancer…
- Trial name
- NCT02292485
- Testing
- Survey
- Where
- United States
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- M.D. Anderson Cancer Center
Lung Neoplasms, Computed Tomography
Methods of Computed Tomography Screening and Management of Lung Cancer
European lung cancer screening studies using computed tomography (CT) have shown that a management protocol based on measuring lung nodule volume and volume doubling time (VDT) is more specific for early lung cancer detection…
- Conditions
- Lung Neoplasms, Computed Tomography, Mass Screening, Lung Nodules
- Trial name
- NCT03992833
- Testing
- lung cancer screening
- Where
- China
- Volunteers
- 4,000 people, healthy volunteers welcome
- Sponsor
- Tianjin Medical University Cancer Institute and Hospital
Lung Neoplasms, Mass Screening
Computed Tomography Screening for Early Lung Cancer, COPD and Cardiovascular Disease in Shanghai, China
Low-dose chest computed tomography (CT) is considered as a screening method for early detection of lung cancer in the population at risk, and it also allows to detect chronic obstructive pulmonary disease (COPD) and…
- Conditions
- Lung Neoplasms, Mass Screening, Chronic Obstructive Pulmonary Disease, Cardiovascular Disease
- Trial name
- NCT03988322
- Testing
- Low-dose CT screening with quantitative assessment and management of imaging biomarkers, Low-dose CT screening with visual assessment and management of imaging biomarkers
- Where
- China
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Shanghai Changzheng Hospital
Lung Cancer Screening
Lung Cancer Screening by Low Dose CT Scan in a French Department (DEP KP80)
Lung cancer is the leading cause of cancer death worldwide. The aims of this study were to assess the feasibility and effectiveness of a lung cancer screening pilot program with LD CT scan in a French department (Somme).
- Trial name
- NCT03853967
- Testing
- Low dose CT scan
- Where
- France
- Volunteers
- 1,307 people, healthy volunteers welcome
- Sponsor
- Centre Hospitalier d'Abbeville
Information About the Knowledge on the Statistical Background of Lung Cancer Screening of Doctors
Are Doctors Familiar With the Test Characteristics of Lung Cancer Screening?
This study evaluates whether doctors are familiar with the statistical background of lung cancer screening.
- Trial name
- NCT02542332
- Testing
- With Data
- Volunteers
- 556 people, healthy volunteers welcome
- Sponsor
- Otto Wagner Hospital