Early Detection of Lung Cancer In Patients With Chronic Chest Diseases

Chest--Diseases Clinical Trial

Official title:

Radiological Early Detection of Lung Cancer In Patients With Chronic Chest Diseases.

Clinical Trial Details — Status: Not yet recruiting

Administrative data

• NCT number: NCT06074978
• Other study ID #: LDCT &chest diseases
• Status: Not yet recruiting
• Start date: December 20, 2023
• Est. completion date: December 20, 2024

Study information

• Verified date: October 2023
• Source: Assiut University
• Contact: Hend saleh, lecture
• Phone: 01098988712
• Email: hend.m.saleh[@]gmail.com
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

• 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.

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.

Recruitment information / eligibility

• Status: Not yet recruiting
• Enrollment: 100
• Est. completion date: December 20, 2024
• Est. primary completion date: October 20, 2024
• Accepts healthy volunteers: No
• Gender: All
• Age group: 45 Years to 75 Years

Eligibility

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

Related Conditions & MeSH terms

• Chest--Diseases

Locations

Country	Name	City	State
n/a

Sponsors (1)

Lead Sponsor	Collaborator
Assiut University

References & Publications (2)

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. — View Citation

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. — View Citation

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Detection early-stage lung cancer (Stage I/II) • Lung • Lung cancer mortality rate	By LDCT	baseline
Secondary	• Diagnostic accuracy of imaging modalities • Positive predictive value of screening tests • Rate of unnecessary invasive procedures • Identification of high-risk subgroups	BY statiscal anylasis from results	baseline