Quantitative Ultrasound of Tumor Surrounding Tissue for Enhancement of Breast Cancer Diagnosis
- Resource Type
- Authors
- Hanna Piotrzkowska-Wroblewska; Katarzyna Dobruch-Sobczak; Ziemowit Klimonda; Piotr Karwat; Jerzy Litniewski
- Source
- Bioinformatics and Biomedical Engineering ISBN: 9783319787589
IWBBIO (2)
- Subject
- Backscatter
Receiver operating characteristic
business.industry
Nakagami distribution
medicine.disease
Signal
Shape parameter
030218 nuclear medicine & medical imaging
Quantitative ultrasound
Lesion
03 medical and health sciences
0302 clinical medicine
Breast cancer
030220 oncology & carcinogenesis
Medicine
medicine.symptom
business
Nuclear medicine
- Language
Breast cancer is one of the leading causes of cancer-related death in female patients. The quantitative ultrasound techniques being developed recently provide useful information facilitating the classification of tumors as malignant or benign. Quantitative parameters are typically determined on the basis of signals scattered within the tumor. The present paper demonstrates the utility of quantitative data estimated based on signal backscatter in the tissue surrounding the tumor. Two quantitative parameters, weighted entropy and Nakagami shape parameter were calculated from the backscatter signal envelope. The ROC curves and the AUC parameter values were used to assess their ability to classify neoplastic lesions. Results indicate that data from tissue surrounding the tumor may characterize it better than data from within the tumor. AUC values were on average 18% higher for parameters calculated from data collected from the tissue surrounding the lesion than from the data from the lesion itself.