@article { author = {Sa-nguanraksa, Doonyapat and Sasanakietkul, Thanyawat and O-Charoenrat, Chayanuch and Kulprom, Anchalee and O-Charoenrat, Pornchai}, title = {Gail Model Underestimates Breast Cancer Risk in Thai Population}, journal = {Asian Pacific Journal of Cancer Prevention}, volume = {20}, number = {8}, pages = {2385-2389}, year = {2019}, publisher = {West Asia Organization for Cancer Prevention (WAOCP), APOCP's West Asia Chapter.}, issn = {1513-7368}, eissn = {2476-762X}, doi = {10.31557/APJCP.2019.20.8.2385}, abstract = {Background: The Gail model is the most widely used method for breast cancer risk estimation. This model hasbeen studied and verified for its validity in many groups but there has yet to be a study to validate the Gail model in aThai population. This study aims to evaluate whether the Gail model can accurately calculate the risk of breast canceramong Thai women. Methods: The subjects were recruited from the Division of Head, Neck, and Breast Surgery,Department of Surgery, Siriraj Hospital. The patients attending the division were asked to enroll in the study andcomplete questionnaires. Gail model scores were then calculated. Relationships between parameters were examinedusing the Pearson’s chi-square test, Fisher’s exact test, and independent-samples t-test. Results: There were 514women recruited. Age, parity, age at first-live birth, and history of atypical ductal hyperplasia (ADH) were significantrisk factors for breast cancer. The 5-year and lifetime risk score for breast cancer calculated by the Gail model werenot significantly different between the patient and the control subjects. The proportions of the subjects with lifetimerisk ≥20% were significantly higher in breast cancer patients (p=0.049). Conclusion: The Gail model underestimatedthe risk of breast cancer in Thai women. Calibration of the model is still required before adoption in Thai population.}, keywords = {atypical hyperplasia,breast cancer,Gail model,Risk Assessment,Thai}, url = {https://journal.waocp.org/article_88687.html}, eprint = {https://journal.waocp.org/article_88687_80bf1efa60c9dab8ec9f85264a91c89d.pdf} }