Solitary pulmonary nodules: Impact of quantitative contrast-enhanced CT on the cost-effectiveness of FDG-PET

被引:25
作者
Comber, LA
Keith, CJ
Griffiths, M
Miles, KA
机构
[1] Wesley Hosp, So Xray Clin, Auchenflower, Australia
[2] Queensland Univ Technol, Ctr Med Hlth & Environm Phys, Brisbane, Qld, Australia
关键词
lung nodules; computed tomography; contrast enhancement; positron emission tomography; cost-effectiveness; decision tree analysis;
D O I
10.1016/S0009-9260(03)00166-1
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
AIM: To determine the impact of quantitative contrast-enhanced computed tomography (QECT) on the cost-effectiveness of diagnostic strategies for the assessment of solitary pulmonary nodules (SPNs). MATERIALS AND METHODS: Four diagnostic strategies were evaluated using decision tree analysis: conventional CT alone; conventional CT followed by QECT; conventional CT followed positron emission tomography (PET); and conventional CT followed by QECT and PET (QECT + PET). The average cost per patient, accuracy of management and incremental cost:accuracy ratio (ICAR) were determined for each strategy. Although baseline assumptions reflected the Australian setting, sensitivity analysis was used to extrapolate the results to the UK. RESULTS: At the baseline prevalence of malignancy (54%) and cost of PET relative to surgery (16%), the QECT strategy incurs the least cost ($5560/patient) but the QECT + PET strategy is the most cost-effective (ICAR $12059/patient). At reported levels of disease prevalence (68.5%) and cost of PET relative to surgery (29.9%) in the UK, the QECT strategy is the most cost-effective. CONCLUSION: QECT offers a cost-effective approach to evaluation of SPNs. Whether QECT is used alone or in combination with PET will depend upon local availability and regional values for prior probability of malignancy within SPNs and the cost of PET relative to surgery. (C) 2003 The Royal College of Radiologists. Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:706 / 711
页数:6
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