搜索结果: 1-8 共查到“肿瘤病理学 risk”相关记录8条 . 查询时间(0.093 秒)
Study: Global cancer risk from burning organic matter comes from unregulated chemicals（图）
燃烧有机物 全球癌症风险 PAH暴露
2023/6/8
Whenever organic matter is burned, such as in a wildfire, a power plant, a car’s exhaust, or in daily cooking, the combustion releases polycyclic aromatic hydrocarbons (PAHs) — a class of pollutants t...
Cancer risk assessment and screening: the need to take notice
assessment and screening Cancer risk
2015/4/8
Although efforts to encourage presentation with early signs of cancer has had some impact in down-staging
disease at diagnosis, notably in breast cancer and melanoma, assertive, physician-initiated ...
MANAGEMENT OF WOMEN AT INCREASED GENETIC RISK OF OVARIAN CANCER
INCREASED GENETIC RISK MANAGEMENT
2015/3/13
Epidemiological studies have identified family history as one of
the major risk factors for epithelial ovarian cancer (subsequently
referred to as “ovarian cancer”) and in recent years we have
gain...
Although in Australia the lifetime risk of ovarian cancer is only
one in 107, it is the fifth most common cause of cancer death in
Australian women1
. Over 90% of ovarian malignancies are
thought ...
Neoadjuvant Chemotherapy with Ifosfamide,Cisplatin,Adriamycin and Mitomycin (IMAP) for High risk Adult Soft Tissue Sarcomas
Soft tissue sarcoma neoadjuvant surgery chemotherapy
2009/12/16
To define efficacy of pre-operative chemotherapy in down staging of advanced non-round cell soft tissue sarcomas. From Sep 2002 to Dec 2005, 70 patients were treated by Ifosfamid, MESNA, cisplatin, ad...
Using Latent Variables to Eliminate Multicollinearity Effect in A Logistic Regression on Risk Factors for Breast Cancer
Multicollinearity Latent Variables Factor Analysis Principal Components Analysis Logistic Regression Breast Cancer
2009/12/11
Background and Objectives: Logistic regression is one of the most widely used generalized linear models for analysis of the relationships between one or more explanatory variables and a categorical re...
Using Latent Variables to Eliminate Multicollinearity Effect in A Logistic Regression on Risk Factors for Breast Cancer
Multicollinearity Latent Variables Factor Analysis Principal Components Analysis Logistic Regression Breast Cancer
2009/12/11
Background and Objectives: Logistic regression is one of the most widely used generalized linear models for analysis of the relationships between one or more explanatory variables and a categorical re...
Sheffield expert to study breast cancer risk in women
Sheffield expert breast cancer risk women
2009/10/27
A researcher at the University of Sheffield is to investigate whether women with a mutation in a gene that prevents folate (vitamin B9) working effectively, may be at increased risk of breast cancer.