Sign In / Sign Out
Navigation for Entire University
- ASU Home
- My ASU
- Colleges and Schools
- Map and Locations
Biopsy: examining a sample of tissue or fluid to look for any abnormalities ... more
Breast Cancer: cancer that affects the breast.
Density: the measure of mass per unit of volume. Think of it as how solid something is. If you have two equal size objects, the one with the higher density would weigh more.
False Positive: when something, such as a condition or disease, is found to be present but is actually not present... more
Mammogram: a x-ray exam of the breast tissue that can be used to screen for breast cancer. X-ray exams are used to detect many other diseases too.
Tissue: a similar group of cells within an animal or plant that work together to do a certain job.
X-ray: a photograph taken of the inside of the body using a special type of light... more
All people share a special ability to pass on traits to their offspring. You have probably been told that you look just like your parents. This is because many of their traits have been passed down to you. This is true for traits like eye color, hair color, and height. But it’s also true for the likelihood of getting certain diseases. One such disease, breast cancer, can be passed between generations in the same way as these other traits. This dangerous disease affects many people, especially women, across the world everyday.
Current methods of screening for breast cancer are often successful, but sometimes mistakes are made. Doctors are working very hard to make it easier to identify breast cancer so that those with the disease can find treatment and recover. In the PLOS ONE article, “Cost-Effectiveness and Harm-Benefit Analyses of Risk-Based Screening Strategies for Breast Cancer,” scientists explored ways to make screening for breast cancer more successful.
Breast cancer is a disease that affects breast tissue, which is located over the breastbone. This disease typically affects women, but men are also at risk. As women get older, their chances of developing breast cancer increase. Because of this, doctors recommend that women who are 50 and over get a mammogram every two years. A mammogram is one type of screening method. Here, doctors x-ray (like when you break your arm) the breast tissue. This lets them see any areas of tissue that could lead to breast cancer.
If the doctor sees a spot that looks like it could be cancer, they often recommend that the individual get a more detailed x-ray. If this second x-ray shows the same suspicious spot, the doctor will recommend further testing in order to decide on treatment. Further testing often includes a biopsy. Here a doctor will take a sample of the suspicious tissue or fluid to test to see if it contains cancer cells.
Current screening methods can detect cancer but they can also make mistakes. Sometimes, a mammogram will detect a spot that looks dangerous, but a second x-ray will show that the spot is not actually there. This is known as a false positive.
Scientists are researching ways to make this screening more successful. A mistake that can occur is when the doctor sees an area of concern and diagnoses the woman with breast cancer. She, like all of us, would be very scared. After further screening, the doctor discovers that it was a false positive. While the discovery that the patient doesn't have the disease is a relief, this false diagnosis can cause a lot stress for the patient.
In this study, scientists and doctors wanted to test a new screening process that could help to reduce the number of “false positive” diagnoses. By developing more accurate ways of predicting the disease, scientists hoped to eliminate unnecessary stress for the patient.
Scientists and doctors are moving toward risk-based treatment. This form of treatment uses information like family history and breast density to find out how much a woman is at risk for developing breast cancer. They can then use this information to treat each woman based on her individual risk for breast cancer.
One way that doctors are trying to improve screening for breast cancer is by learning about the patient’s family health history. Doctors can make a list of diseases that have occurred in a patient’s family. They learn how likely a patient is to get breast cancer based on who has had it in her family.
For example, if a patient’s mother, aunt, and grandmother all had breast cancer, then the patient is much more likely to get the disease. This is because the risk for getting the disease is passed down to a person’s offspring.
Another piece of information that can be useful to doctors is the density of a woman’s breast tissue. A woman who has very dense breast tissue is more likely to develop breast cancer than a woman who has tissue that is less dense. Scientists haven’t quite figured out why this is, but they believe that it has to do with the amount of fatty tissue. The denser the breast tissue, the less fat it has.
If a doctor knows a patient’s family history and her breast density, they can recommend either more or less screening. For example, if a woman has breast cancer in her family and high-density breast tissue, the doctor may recommend that she is screened more often than someone without a family history of the cancer. This increases her chances of discovering the disease early if she does have it at some point in her life.
For this experiment the scientists used a preexisting model called the LZ model. Using this method they created different categories based on an individual’s risk of getting breast cancer. Using the LZ model, scientists were able to predict the outcomes of normal screening methods and compare them to the predicted outcomes of their risk-based screening methods.
Scientists looked at data from the medical records of 2,625 woman who had been treated using either the normal screening strategy or a risk-based one. Women were divided up into four groups: Low risk, moderate-low risk, moderate-high risk, and high-risk groups. They then recommended specific screening for each group and observed diagnosis cases and survival rates. Overall, women in the risk-based treatment groups had lower occurrences of false positives than those in the normal screening method.
Scientists found that tailoring treatment for women based on their risk levels led to less false positives and fewer unnecessary costs for the patient.
If the doctors have information on a patient about her or his likelihood for breast cancer, they can recommend screening and treatment options that are tailored for each individual person. Scientists believe that this is likely to reduce the number of false positives and give doctors a better chance of discovering the disease early enough to get rid of it.
Additional Images via Wikimedia Commons. Mammogram image by The Blausen Gallery 2014. Side x-ray image by Nevit Dilmen.
Giselle Lee. (2015, March 10). The Push for Perfection in Breast Cancer Screening. ASU - Ask A Biologist. Retrieved December 15, 2019 from https://askabiologist.asu.edu/plosable/push-perfection-breast-cancer-screening
Giselle Lee. "The Push for Perfection in Breast Cancer Screening". ASU - Ask A Biologist. 10 March, 2015. https://askabiologist.asu.edu/plosable/push-perfection-breast-cancer-screening
Giselle Lee. "The Push for Perfection in Breast Cancer Screening". ASU - Ask A Biologist. 10 Mar 2015. ASU - Ask A Biologist, Web. 15 Dec 2019. https://askabiologist.asu.edu/plosable/push-perfection-breast-cancer-screening
A mammogram is used as a tool to screen women for breast cancer.