Early Detection of Lung Cancer In Patients With Chronic Chest Diseases
Study Details
Study Description
Brief Summary
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To evaluate the effectiveness of LDCT in detecting early-stage lung cancer in patients with chronic lung conditions compared to standard chest x-rays.
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To improve lung cancer outcomes through optimized use of radiological technologies for early detection in high-risk patients with pre-existing lung conditions.
Condition or Disease | Intervention/Treatment | Phase |
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Detailed Description
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.
Study Design
Outcome Measures
Primary Outcome Measures
- Detection early-stage lung cancer (Stage I/II) • Lung • Lung cancer mortality rate [baseline]
By LDCT
Secondary Outcome Measures
- • Diagnostic accuracy of imaging modalities • Positive predictive value of screening tests • Rate of unnecessary invasive procedures • Identification of high-risk subgroups [baseline]
BY statiscal anylasis from results
Eligibility Criteria
Criteria
Inclusion Criteria:
1- Chronic chest diseases Patients .
Exclusion Criteria:
1 - Age: less than 45 years. 2-Patients diagnosed with lung cancer 3-Unstable patients or need for ICU admission
Contacts and Locations
Locations
No locations specified.Sponsors and Collaborators
- Assiut University
Investigators
- Study Chair: Mustafa sayed, lecture, Assiut University
Study Documents (Full-Text)
None provided.More Information
Publications
- Balkan A, Bulut Y, Fuhrman CR, Fisher SN, Wilson DO, Weissfeld JL, Sciurba FC. COPD phenotypes in a lung cancer screening population. Clin Respir J. 2016 Jan;10(1):48-53. doi: 10.1111/crj.12180. Epub 2014 Jul 28.
- Jogi J, Markstad H, Tufvesson E, Bjermer L, Bajc M. The added value of hybrid ventilation/perfusion SPECT/CT in patients with stable COPD or apparently healthy smokers. Cancer-suspected CT findings in the lungs are common when hybrid imaging is used. Int J Chron Obstruct Pulmon Dis. 2014 Dec 18;10:25-30. doi: 10.2147/COPD.S73423. eCollection 2015.
- LDCT &chest diseases