PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The aim of this study is to identify ultrasound texture features to characterize radiation-associated acute breast toxicity in women following radiotherapy treatment for breast cancer. We investigated a series of sonographic features obtained from the gray level co-occurrence matrix (GLCM) – a second order statistical method of texture analysis. These features were tested in a pilot study of 42 postradiotherapy patients. The mean follow-up time for the postradiotherapy patients was 6 weeks. Each participant underwent an ultrasound study in which ultrasound scans were performed on the bilateral breast, generating a total of 42 post irradiation and 42 contralateral normal breasts exams. The ultrasound scans of the irradiated breasts were graded as either mild (n=27) or severe (n=15). After specifying the region of interest on the B-mode images and computing the sonographic features based off the severity grading, we observed statistically significant differences in the quantification of
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Boran Zhou, Mingquan Lin, Xiaofeng Yang, Simone Henry, Jolinta Lin, Karen Godette, Shannon T. Kahn, Walter J. Curran, Mylin A. Torres, Tian Liu, "Ultrasound GLCM texture analysis of radiation-induced acute toxicity following breast cancer radiotherapy," Proc. SPIE 11602, Medical Imaging 2021: Ultrasonic Imaging and Tomography, 1160205 (15 February 2021); https://doi.org/10.1117/12.2581139