TY - JOUR
T1 - Cost-effectiveness analysis for breast cancer screening
T2 - Double reading versus single + CAD reading
AU - Sato, Miho
AU - Kawai, Masaaki
AU - Nishino, Yoshikazu
AU - Shibuya, Daisuke
AU - Ohuchi, Noriaki
AU - Ishibashi, Tadashi
N1 - Funding Information:
Acknowledgments This work was supported by a research grant from the Institute for Health Economics and Policy. We are greatly appreciative of Prof. James Kahn at the University of California, San Francisco, and Dr. Makoto Kobayashi from CRECON Research and Consulting Inc. for their advice on our model construction and modeling analysis.
Publisher Copyright:
© 2012, The Japanese Breast Cancer Society.
PY - 2014/9/1
Y1 - 2014/9/1
N2 - Background: Computer-aided detection (CAD) increases breast cancer detection, but its cost-effectiveness is unknown for breast cancer screening in Japan. We aimed to determine whether screening mammography diagnosed by one physician using CAD is cost-effective when compared with the standard double reading by two physicians. Methods: We established our model with a decision tree and Markov model concept based on feasible screening and clinical pathways, combined with prognosis of the health state transition of breast cancer. Cost-effectiveness analysis between double reading by two readers and single reading with CAD by one reader was performed from a social perspective in terms of the expected cost, life expectancy and incremental cost-effectiveness ratio (ICER). The hypothetical population comprised 50-year-old female breast cancer screening examinees. Only direct medical costs related to breast cancer screening and treatment were considered. One simulation cycle was 2 years, and the annual discount rate was 3 %. Sensitivity analysis was performed to evaluate the robustness of the model and input data. Results: Single reading with CAD increased expected costs by 2,704 yen and extended life expectancy by 0.0087 years compared with double reading. The ICER was 310,805 yen per life year gained, which is below the threshold. Sensitivity analysis showed that the sensitivity and specificity of CAD and the number of breast cancer screening examinees greatly affected the results. Conclusions: Single reading using CAD in mammography screening is more cost-effective than double reading, although the results are highly sensitive to the sensitivity and specificity of CAD and the numbers of examinees.
AB - Background: Computer-aided detection (CAD) increases breast cancer detection, but its cost-effectiveness is unknown for breast cancer screening in Japan. We aimed to determine whether screening mammography diagnosed by one physician using CAD is cost-effective when compared with the standard double reading by two physicians. Methods: We established our model with a decision tree and Markov model concept based on feasible screening and clinical pathways, combined with prognosis of the health state transition of breast cancer. Cost-effectiveness analysis between double reading by two readers and single reading with CAD by one reader was performed from a social perspective in terms of the expected cost, life expectancy and incremental cost-effectiveness ratio (ICER). The hypothetical population comprised 50-year-old female breast cancer screening examinees. Only direct medical costs related to breast cancer screening and treatment were considered. One simulation cycle was 2 years, and the annual discount rate was 3 %. Sensitivity analysis was performed to evaluate the robustness of the model and input data. Results: Single reading with CAD increased expected costs by 2,704 yen and extended life expectancy by 0.0087 years compared with double reading. The ICER was 310,805 yen per life year gained, which is below the threshold. Sensitivity analysis showed that the sensitivity and specificity of CAD and the number of breast cancer screening examinees greatly affected the results. Conclusions: Single reading using CAD in mammography screening is more cost-effective than double reading, although the results are highly sensitive to the sensitivity and specificity of CAD and the numbers of examinees.
KW - Breast cancer
KW - Computer-aided diagnosis
KW - Cost effectiveness
KW - Decision trees
KW - Diagnostic techniques and procedures
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U2 - 10.1007/s12282-012-0423-5
DO - 10.1007/s12282-012-0423-5
M3 - Article
C2 - 23104393
AN - SCOPUS:84964308214
SN - 1340-6868
VL - 21
SP - 532
EP - 541
JO - Breast Cancer
JF - Breast Cancer
IS - 5
ER -
