Computed tomography screening for lung cancer
Institute for Clinical Systems Improvement
Record ID 32003000542
This review aims to assess the available evidence on the effectiveness of computed tomography screening for lung cancer.
Authors' recomendations: With regard to helical CT screening for lung cancer, the ICSI Technology Assessment Committee finds that: Given the unknown cost of following the high number of false-positive cases, the lack of long-term survival data, and the high morbidity associated with follow-up procedures for a positive CT scan, routine use of CT for screening cannot be recommended. Helical CT enables the detection of early stage tumors. Although early stage tumors have a higher five-year survival rate, there is no study directly linking helical CT with improved survival. (Conclusion Grade IV) Screening with chest radiography does not result in decreased mortality. Low-dose helical CT is superior to chest radiography in the rate of detection of lung cancer, especially at an early stage. At present, there is no evidence of a decrease in mortality with CT screening. (Conclusion Grade I) Low-dose helical CT screening is technically a safe procedure; the risks are related to a false-negative or a false-positive diagnosis.
Authors' methods: Review
Project Status: Completed
URL for project: http://www.icsi.org/index.asp
Year Published: 2001
English language abstract: An English language summary is available
Publication Type: Not Assigned
Country: United States
- Mass Screening
- Tomography, X-Ray Computed
- Lung Neoplasms
Organisation Name: Institute for Clinical Systems Improvement
Contact Address: 8009 34th Avenue South, Suite 1200, Bloomington, MN, USA. Tel: +1 952 814 7060; Fax: +1 952 858 9675
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Contact Email: firstname.lastname@example.org
Copyright: Institute for Clinical Systems Improvement (ICSI)
This is a bibliographic record of a published health technology assessment from a member of INAHTA or other HTA producer. No evaluation of the quality of this assessment has been made for the HTA database.