邊個會患上乳腺癌?
乳腺癌可以影響任何人,但喺婦女中比較常見.
乳腺癌嘅風險隨著年齡增長而增加,而且喺 50 歲以上嘅女性中更有可能發生.
但係,男人亦可以患上乳腺癌,雖然好少見.
有啲因素,例如家族史,遺傳,生活方式,同埋某啲激素嘅暴露, 都可以增加一個人患乳腺癌嘅風險.
重要嘅係,個人要意識到佢哋嘅個人風險因素, 同埋同佢哋嘅醫療服務提供者討論.
定期嘅乳腺癌檢查,例如乳房X光檢查, 可以幫助早期發現乳腺癌, 而乳腺癌最容易治療.
乳腺癌可以影響任何人,但喺婦女中比較常見.
乳腺癌嘅風險隨著年齡增長而增加,而且喺 50 歲以上嘅女性中更有可能發生.
但係,男人亦可以患上乳腺癌,雖然好少見.
有啲因素,例如家族史,遺傳,生活方式,同埋某啲激素嘅暴露, 都可以增加一個人患乳腺癌嘅風險.
重要嘅係,個人要意識到佢哋嘅個人風險因素, 同埋同佢哋嘅醫療服務提供者討論.
定期嘅乳腺癌檢查,例如乳房X光檢查, 可以幫助早期發現乳腺癌, 而乳腺癌最容易治療.
PubMed/Medline https://www.nlm.nih.gov/databases/download/pubmed_medline.html
RefinedWeb https://arxiv.org/abs/2306.01116
Kaelin C: When a breast cancer expert gets breast cancer. An interview with Harvard breast cancer surgeon Dr. Carolyn Kaelin. Harv Womens Health Watch. 2005, 12 (8): 4-6.
Demirci S, Eser E, Ozsaran Z, Tankisi D, Aras AB, Ozaydemir G, Anacak Y: Validation of the Turkish versions of EORTC QLQ-C30 and BR23 modules in breast cancer patients. Asian Pac J Cancer Prev. 2011, 12 (5): 1283-7.
Amir E, Goodwin PJ: Breast cancer chemoprevention gets personal. J Clin Oncol. 2011, 29 (17): 2296-8.
Breast cancer screening gets better. Johns Hopkins Med Lett Health After 50. 2007, 19 (9): 4-5.
Bodai E: Breast cancer gets the hard sell. Lancet. 1997, 350 (9084): 1102.
Goodman DL: Breast cancer gets the hard sell. Lancet. 1997, 350 (9084): 1101-2.
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Breast cancer can affect anyone, but it is more common in women.
The risk of developing breast cancer increases with age, and it is more likely to occur in women over the age of 50.
However, men can also develop breast cancer, although it is much less common.
Certain factors, such as family history, genetics, lifestyle choices, and exposure to certain hormones, can increase a person's risk of developing breast cancer.
It is important for individuals to be aware of their personal risk factors and to discuss them with their healthcare provider.
Regular breast cancer screenings, such as mammograms, can help detect the disease early, when it is most treatable.
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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BioMedLib 用自動化電腦 (機器學習算法) 生成問題同答案對.
我哋從PubMed/Medline 嘅三千五百萬份生物醫學出版物 開始 我哋亦從RefinedWeb 嘅網頁開始
睇下"參考"同"免責聲明".