Health-Economic Evaluation of Magnetic Resonance Imaging Before Biopsy for Diagnosis of Prostate Cancer

作者：Stadlbauer A^*; Bernt R; Salomonowitz E; Plas E; Strunk G; Eberhardt K

来源：RoFo-Fortschritte auf dem Gebiet der Rontgenstrahlen und der Bildgebenden Verfahren, 2011, 183(10): 925-932.

DOI：10.1055/s.0031-1281601

• prostate
• neoplasms
• MR imaging
• health economic analysis
• cost
• effectiveness

Purpose: The aim of this study was the healtheconomic analysis of MR imaging in the diagnostics of suspicious prostate carcinoma (PCa) before execution of a first biopsy.
Materials and Methods: The health-economic analysis included four steps: modeling, determination of probabilities, evaluation, and sensitivity analyses. We performed an effectiveness analysis from the patient perspective as well as a cost-effectiveness and a cost-utility analysis from the health insurance perspective for Austria and Germany. The effectiveness and cost-effectiveness analysis used a hypothetical cohort of 100000 patients. The result parameters were number of biopsies, number of detected PCa, and monetary costs. For the cost-efficiency analysis, the result parameters, quality-adjusted life years (QALYs) and costs, were calculated for an individual patient.
Results: The efficiency analysis showed that MRI before a first biopsy can prevent ca. 64000 unnecessary biopsies/100000 patients. The diagnostic efficiency was higher by a factor of 1.7. Due to MRI, eight PCas were additionally detected. From a health insurance perspective, MRI was not cost-effective. Extra costs of ca. 42 m. (sic) per 100000 patients and of 650 (sic) per prevented biopsy were calculated. The costs per detected PCa were increased by 1395 (sic). The attainable QALYs were a little higher for the MRI alternative, which was therefore not dominated.
Conclusion: Our results do not permit a clear recommendation for or against the application of MRI in the diagnostics of PCa. From the patient perspective, it is to be endorsed due to the higher medical efficiency. However, it is connected with higher health insurance costs.

• 出版日期2011-10