Multimodality approach to classifying hand utilization for the clinical breast examination

Area of Science:

• Medical Diagnostics
• Clinical Examination Techniques

Background:

• The clinical breast examination (CBE) is crucial for detecting breast pathology.
• Current understanding of CBE clinical techniques and their impact on diagnostic accuracy is limited.

Purpose of the Study:

• To quantify breast examination search patterns and hand utilization during CBE.
• To introduce and validate a novel data collection and analysis system for CBE.

Main Methods:

• Participants performed CBE while a sensor mapping and video camera system collected performance data.
• Algorithms were developed to measure the number of hands used and active examination time.
• The feasibility and reliability of the new data collection system were assessed.

Main Results:

• The developed system successfully collected performance data during CBE.
• Algorithms could quantify key metrics such as hands used and active examination time.
• The system demonstrated feasibility and reliability for collecting new information on CBE techniques.

Conclusions:

• A novel system for collecting and analyzing CBE performance data has been established.
• This system provides objective metrics on clinical technique, potentially improving diagnostic accuracy.
• Further research can utilize this method to enhance breast cancer detection strategies.