Chest--Diseases Clinical Trial
Official title:
Radiological Early Detection of Lung Cancer In Patients With Chronic Chest Diseases.
- To evaluate the effectiveness of LDCT in detecting early-stage lung cancer in patients with chronic lung conditions compared to standard chest x-rays. - To improve lung cancer outcomes through optimized use of radiological technologies for early detection in high-risk patients with pre-existing lung conditions.
The early detection of lung cancer is crucial, as it is one of the most common and deadly types of cancer worldwide. Early detection is especially important in patients with chronic chest diseases, as these underlying conditions can make lung cancer more difficult to diagnose at later stages. Radiological imaging techniques play a key role in the early detection of lung cancer in this high-risk patient population. Recent advances in imaging technologies have improved our ability to detect small lung abnormalities indicative of cancer at earlier stages, even before symptoms appear . Techniques such as low-dose CT scanning have been shown to reduce lung cancer mortality by up to 20% compared to chest radiography alone . Advanced imaging allows clinicians to identify subtle nodules or masses in the lungs that may represent cancer . Determining the type, size, and extent of lung lesions is important for prognosis and treatment planning . Imaging technologies help characterize lesions as benign or malignant and determine cancer stage . This information guides decisions around surgery, chemotherapy, radiation therapy, or other interventions . Early detection through radiological screening has been associated with improved survival rates for lung cancer patients with chronic lung diseases . Screening finds a higher portion of early-stage, potentially curable cancers in this high-risk group . Overall, advanced imaging techniques play a vital role in the early detection and management of lung cancer in patients with underlying chronic chest conditions. ;
| Status | Clinical Trial | Phase | |
|---|---|---|---|
| Not yet recruiting |
NCT06053528 -
Pattern and Outcomes of Chest Diseases
|
||
| Recruiting |
NCT05767619 -
Digital Decision Support in the Management of Patients With Chest Pain
|
||
| Recruiting |
NCT03169452 -
Clinical Application and Outcome of Non-invasive Ventilation in Different Chest Diseases
|
||
| Recruiting |
NCT04489992 -
Experiment on the Use of Innovative Computer Vision Technologies for Analysis of Medical Images in the Moscow Healthcare System
|
||
| Withdrawn |
NCT05224479 -
Clinical Validation of Machine Learning Triage of Chest Radiographs
|
N/A | |
| Terminated |
NCT03829618 -
Lidocaine Administration During Flexible Bronchoscopy and Endobronchial Ultrasound
|
Phase 3 |