Friday 16 February 2018

Breast cancer risk assessment: calculation of life-threatening risk according to the Tyrer Cuzick model



Early detection and prevention are more useful for people at higher risk of breast cancer. Breast cancer is the most common cancer and the second most common cause of cancer death in women

The American Cancer Society (ACS) predicts that 40,690 deaths - diagnosed 246,600 cases of breast cancer in2016. However, early detection with adequate screening can reduce breast cancer mortality. And recommend a screening test for patients with primary care. 


Screening of high-risk women

One size is not suitable for all cases of breast cancer. Except for the USPSTF, all of these organizations offer more intensive testing for high-risk women. Although the USPSTF has not developed guidelines for high-risk women, it recognizes that its guidelines are not intended for high-risk women. NPs must identify high-risk women and perform more intensive tests as needed. ACS, NCCN, and the American Congress of Gynecologists recommend that women at risk for breast cancer ≥20% in their lives have an annual mammographic screening of breast MRI scans. The addition of breast MRI increases the sensitivity in the detection of breast cancer compared to mammography alone. NP can calculate the risk of developing breast cancer from different models.


Calculation of life expectancy in breast cancer

Different software models can assess a woman's lifetime risk based on family history and other risk factors.

Some of these models are BRCAPRO Claus, which provide an analysis of the presence of breast cancer and ovarian cancer, as well as an algorithm to evaluate the owners and Tyrer-Cuzick.

The Tyrer-Cuzick model is widely used and is commonly used to predict the risk of breast cancer. This model contains the complete set of variables and is the most sensitive of all models of breast cancer detection. Tyrer-Cuzick Model is very helpful to detect breast cancer on early stage.
For more detail please click here.

No comments:

Post a Comment