Selecting the Mammographic-View for the Parenchymal Analysis-Based Breast Cancer Risk Assessment
| Autor: | Oscar Araque, Antti Sassi, Said Pertuz, Anna-Leena Laaperi, Kirsi Holli-Helenius, Irina Rinta-Kiikka, Maria P. Mejia-Sandoval, Otso Arponen |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
medicine.medical_specialty
medicine.diagnostic_test business.industry Screening mammography Computerized analysis Diagnostic tools medicine.disease 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Breast cancer Cancer risk assessment 030220 oncology & carcinogenesis Medicine Mammography Medical physics business Risk assessment Analysis method |
| Zdroj: | BHI |
| DOI: | 10.1109/bhi.2019.8834461 |
| Popis: | Mammography is one of the main diagnostic tools for the breast and is increasingly utilized for breast cancer risk assessment. Recently, parenchymal analysis has emerged as a computational tool that works by extracting imaging features from mammograms in order to infer the level of risk of a patient. In standard screening mammography, two views for each breast are obtained: the cranio-caudal (CC) and the medio-lateral oblique (MLO) views. However, to the best of our knowledge, the question of whether the choice of a given view can influence the performance of parenchymal analysis has not been researched in the literature. The aim of this work is to evaluate the utilization of different views for risk estimation based on the computerized analysis of parenchymal patterns in mammography images. We implemented a parenchymal analysis method and tested it on a sample of 228 women in a retrospective case/control study. Based on the obtained results we support the use of the CC view for parenchymal analysis since this reduces computational cost without affecting performance. |
| Databáze: | OpenAIRE |
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