乳腺癌係一種嚴重嘅,可能致命嘅疾病.
佢係全世界女性最常見嘅癌症 亦係女性癌症死亡嘅第二個主要原因
根據美國癌症協會嘅數據,喺 2020 年,大約有 276,480 例美國女性嘅乳腺癌被診斷出, 而大約有 42,170 例美國女性因為乳腺癌而死亡.
但係,自 1989 年開始,乳腺癌死亡率一直在下降,從 1989 年到 2017 年,乳腺癌死亡率下降咗 40% 主要係因為早期發現同治療嘅改善.
乳腺癌嘅死亡風險取決於年齡,診斷時嘅病期,乳腺癌嘅類型
早期嘅發現同治療 可以大大提高生存率
PubMed/Medline https://www.nlm.nih.gov/databases/download/pubmed_medline.html
RefinedWeb https://arxiv.org/abs/2306.01116
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DeSantis CE, Ma J, Gaudet MM, Newman LA, Miller KD, Goding Sauer A, Jemal A, Siegel RL: Breast cancer statistics, 2019. CA Cancer J Clin. 2019, 69 (6): 438-451.
Icaza G, Núñez L, Bugueño H: [Epidemiological analysis of breast cancer mortality in women in Chile]. Rev Med Chil. 2017, 145 (1): 106-114.
Monticciolo DL, Newell MS, Hendrick RE, Helvie MA, Moy L, Monsees B, Kopans DB, Eby PR, Sickles EA: Breast Cancer Screening for Average-Risk Women: Recommendations From the ACR Commission on Breast Imaging. J Am Coll Radiol. 2017, 14 (9): 1137-1143.
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Breast cancer is a serious and potentially deadly disease.
It is the most common cancer among women worldwide and the second leading cause of cancer death in women.
According to the American Cancer Society, in 20220, an estimated 276,480 new cases of invasive breast cancer were diagnosed in women in the United States, and about 42,170 women in the U.S. died from breast cancer.
However, the death rate from breast cancer has been declining since 1989, with a 40% decrease in the breast cancer death rate from 1989 to 2017, largely due to improvements in early detection and treatment.
The risk of dying from breast cancer varies depending on factors such as age, stage at diagnosis, and the type of breast cancer.
Early detection and treatment can significantly improve the chances of survival.
This web site is provided for educational and informational purposes only and does not constitute providing medical advice or professional services.
The information provided should not be used for diagnosing or treating a health problem or disease, and those seeking personal medical advice should consult with a licensed physician.
Please note the neural net that generates answers to the questions, is specially inaccurate when it comes to numeric content. For example, the number of people diagnosed with a specific disease.
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睇下"參考"同"免責聲明".