Assessing the Influence of B-US, CDFI, SE, and Patient Age on Predicting Molecular Subtypes in Breast Lesions Using Deep Learning Algorithms.
Weiyong LiuDongyue WangLe LiuZhiguo ZhouPublished in: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine (2024)
Multimodal ultrasound imaging can be used to accurately predict the molecular subtypes of breast lesions. In addition to B-US imaging, CDFI rather than SE contribute further to improve predictive performance. The predictive performance is notably better for patients under 40 years old compared with those who are 40 years old and above.