Study of Mammographic Texture Features Using AI in Women Undergoing Mastectomy for Breast Cancer or Other Reasons

What this Trial Is About

This research evaluates the use of an AI tool to analyze mammographic texture features in female patients undergoing mastectomy, aiming to improve clinical decision-making related to breast cancer. The study focuses on how imaging parameters and clinical and biological factors influence these texture features, which are important for risk assessment and disease detection in mammography. Researchers seek to overcome challenges related to system-inherent effects on mammographic images to enable reliable AI-based diagnostics in routine practice. Participants are divided into two groups those diagnosed with breast cancer and those undergoing mastectomy for non-breast cancer clinical reasons. Both groups will have mammograms analyzed using a specially developed AI tool trained to detect relevant outcomes. The study follows participants over an average of 5 years for mammographic texture features and up to 10 years for associated biological features to gather comprehensive data. Throughout the study, participants will undergo mammography and clinical evaluations related to their mastectomy. Researchers will collect data on imaging and biological markers to understand their relationships and support AI use in clinical settings. The trial spans from 2024 to 2038, with ongoing monitoring to assess the diagnostic potential of the AI tool and its connection to clinical and biological information.

Study on Female Patients' Mammographic Texture Features