Phillips Michael, Cataneo Renee N, Ditkoff Beth Ann, Fisher Peter, Greenberg Joel, Gunawardena Ratnasiri, Kwon C Stephan, Tietje Olaf, Wong Cynthia
Menssana Research Inc., 1 Horizon Road, Suite 1415, Fort Lee, NJ 07024, USA.
Breast Cancer Res Treat. 2006 Sep;99(1):19-21. doi: 10.1007/s10549-006-9176-1. Epub 2006 Feb 24.
We evaluated a breath test for volatile organic compounds (VOCs) as a predictor of breast cancer. Breath VOCs were assayed in 51 asymptomatic women with abnormal mammograms and biopsy-proven breast cancer, and 42 age-matched healthy women. A fuzzy logic model predicted breast cancer with accuracy superior to previously reported findings. Following random assignment to a training set (64) or a prediction set (29), a model was constructed in the training set employing five breath VOCs that predicted breast cancer in the prediction set with 93.8% sensitivity and 84.6% specificity. The same model predicted no breast cancer in 16/50 (32.0%) women with abnormal mammograms and no cancer on biopsy. A two-minute breath test could potentially provide a safe, accurate and painless screening test for breast cancer, but prospective validation studies are required.
我们评估了一种用于检测挥发性有机化合物（VOCs）的呼气测试，以预测乳腺癌。对51名乳房X光检查异常且经活检证实患有乳腺癌的无症状女性以及42名年龄匹配的健康女性进行了呼气VOCs检测。一个模糊逻辑模型预测乳腺癌的准确率优于先前报道的结果。在随机分配到训练集（64例）或预测集（29例）后，在训练集中构建了一个模型，该模型采用五种呼气VOCs，在预测集中预测乳腺癌的灵敏度为93.8%，特异性为84.6%。同一模型在16/50（32.0%）乳房X光检查异常且活检未发现癌症的女性中预测无乳腺癌。两分钟的呼气测试有可能为乳腺癌提供一种安全、准确且无痛的筛查测试，但仍需要进行前瞻性验证研究。
