New CAD Imaging Technology Helps Predict the Risk of Breast Cancer
By MedImaging International staff writers Posted on 05 May 2015 |
Image: Wei Qian, PhD and doctoral student Wenqing Sun Creating a Breast Cancer Prediction System (Photo courtesy of J.R. Hernandez/UTEP News Service).
Researchers at the University of Texas at El Paso (UTEP; El Paso, TX, USA) are developing an innovative Computer Aided Detection (CAD) breast cancer risk analysis system.
The system will be able to predict the risk of developing breast cancer. It will allow patients who have a low risk of developing cancer, to increase the interval between their annual mammogram screenings, and avoid unnecessary exposure to ionizing X-Rays and conversely, allow women who after CAD screening are found to be at high risk of developing breast cancer, to go to mammogram screening earlier, within six months instead of a year.
When complete, the risk analysis system could process the X-Ray images of a regular mammogram and analyze multiple features such as breast tissue texture, breast density, and change in the differences between the two breasts.
Future versions of the system could include additional factors such as patient history, clinical diagnoses, lifestyle, pregnancies, or past hormonal therapy.
Wei Qian, PhD, professor of electrical engineering at the University of Texas, El Paso, said, “We’re creating a breast cancer risk analysis system. It will be able to inform doctors about the patient’s risk of developing cancer within a few years.”
Related Links:
The University of Texas at El Paso
The system will be able to predict the risk of developing breast cancer. It will allow patients who have a low risk of developing cancer, to increase the interval between their annual mammogram screenings, and avoid unnecessary exposure to ionizing X-Rays and conversely, allow women who after CAD screening are found to be at high risk of developing breast cancer, to go to mammogram screening earlier, within six months instead of a year.
When complete, the risk analysis system could process the X-Ray images of a regular mammogram and analyze multiple features such as breast tissue texture, breast density, and change in the differences between the two breasts.
Future versions of the system could include additional factors such as patient history, clinical diagnoses, lifestyle, pregnancies, or past hormonal therapy.
Wei Qian, PhD, professor of electrical engineering at the University of Texas, El Paso, said, “We’re creating a breast cancer risk analysis system. It will be able to inform doctors about the patient’s risk of developing cancer within a few years.”
Related Links:
The University of Texas at El Paso
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