Deep-learning model determines breast tumor staging

A deep-learning model based on mammographic images can determine tumor staging and sentinel lymph node metastasis in breast cancer patients, a study published April 15 in Informatics in Medicine Unlocked found. A team led by Elaheh Tarighati Sereshkeh from the Iran University of Medical Science in Tehran found that its convolutional neural network (CNN) model achieved high performance marks in these areas. “This method can be used as a potential non-invasive tool to determine tumor staging and sentinel lymph node metastasis in breast cancer in people suspected of having the complication and to avoid unnecessary surgery,” Sereshkeh and colleagues wrote.  CNNs have been used in AI research to classify breast cancer disease status and predict therapeutic responses based on diagnostic images of the primary breast tumor. The researchers highlighted that CNNs require little preprocessing compared with other image classification algorithms. While such diagnosis technology can be used to help doctors diagnose breast cancer, the researchers also emphasized that “there is still much to be improved.” Sereshkeh's group explored the potential of a CNN-based deep learning model that incorporates deep features resulting from mammography staging. The team suggested that such modeling can help determine tumor staging and lymph nodes before surgery in breast cancer patients. The study included a retrospective dataset of 390 breast cancer patients. For their model, the researchers...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Womens Imaging Artificial Intelligence Source Type: news