Advanced Temporal Breast Tissue Dynamics for Precise Cancer Risk Prediction
This invention is a diagnostic method and system that analyzes the rate of change in breast dense tissue over time using longitudinal medical imaging. By calculating the velocity and acceleration of these tissue changes, the technology provides a highly personalized and accurate prediction of breast cancer risk.
Description
The technology utilizes a computational framework to evaluate temporal changes in breast density across multiple screening sessions. Unlike traditional single-point assessments, this method focuses on the "kinematics" of dense tissue, specifically measuring how quickly the volume of dense tissue is changing (velocity) and whether that rate of change is increasing or decreasing (acceleration). By identifying these dynamic patterns, the system can distinguish between normal physiological fluctuations and early indicators of malignant development. The system processes existing longitudinal imaging data, such as mammograms, to extract these temporal features. This approach integrates the history of a patient's tissue behavior into a predictive model, offering a more comprehensive risk profile than static density measurements alone.Applications
- Diagnostic Imaging Software: Integration into existing Radiology Information Systems (RIS) and Picture Archiving and Communication Systems (PACS).- Computer-Aided Detection (CAD) Tools: Enhancement of current breast cancer screening software with temporal analysis modules.
- Health Risk Assessment Platforms: Use by insurance companies and healthcare providers for long-term patient health monitoring.
- Clinical Decision Support Systems: Tools to assist radiologists in prioritizing patients for supplemental screening based on dynamic risk.
Advantages
- Enhanced Predictive Accuracy: Improves the identification of high-risk patients by incorporating temporal tissue dynamics.- Personalized Risk Profiling: Tailors cancer risk assessments based on an individual's unique tissue change history.
- Early Intervention Potential: Identifies accelerated tissue changes that may precede visible tumor formation.
- Leverages Existing Data: Utilizes historical screening images already available in clinical records.
- Reduced False Positives: Provides more context to tissue density, potentially reducing unnecessary follow-up procedures.