Early Detection of Lung Cancer In Patients With Chronic Chest Diseases

NCT ID: NCT06074978

Last Updated: 2023-11-07

Basic Information

• Recruitment Status: UNKNOWN
• Total Enrollment: 100 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2023-12-20
• Study Completion Date: 2024-12-20

Brief 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.

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.

Conditions

Chest--Diseases

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Eligibility 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

• Minimum Eligible Age: 45 Years
• Maximum Eligible Age: 75 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Assiut University

OTHER

Sponsor Role: lead

Responsible Party

Hend Mohamed Sayed Mohamed

Lecture of chest diseases

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Mustafa sayed, lecture

Role: STUDY_CHAIR

Assiut University

Central Contacts

Hend saleh, lecture

Role: CONTACT

hend.m.saleh@gmail.com

01098988712

samiaa mohamed, professor

Role: CONTACT

Samiaa2023@yahoo.com

01006769597

References

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.

Reference Type: BACKGROUND

PMID: 24989058 (View on PubMed)

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.

Reference Type: BACKGROUND

PMID: 25565797 (View on PubMed)

Other Identifiers

LDCT &chest diseases

Identifier Type: -

Identifier Source: org_study_id