Smartphone-based Compression-Induced Scope with Temperature Sensor for Inflammatory Breast Cancer Screening.

Area of Science:

• Biomedical Engineering
• Medical Imaging
• Oncology

Background:

• Early detection of breast cancer is crucial for effective treatment.
• Current methods for assessing tumor characteristics can be invasive or limited.
• Inflammatory breast cancer presents with distinct skin changes like altered color, texture, and temperature.

Purpose of the Study:

• To develop a novel mobile device, the Smartphone-based Compression-induced Scope with an infrared temperature sensor (SCIS-T).
• To evaluate the SCIS-T system's capability in assessing both tumor mechanical properties and surface skin characteristics.
• To explore the potential application of SCIS-T in identifying inflammatory breast cancer.

Main Methods:

• Development of an SCIS system integrated with an infrared temperature sensor (SCIS-T).
• Image processing techniques including color-based edge detection and texture filtering to analyze skin characteristics.
• Mechanical property assessment (size, elasticity) of inclusions using compression-induced scope principles.
• Testing the system using chicken breast phantoms with embedded silicone inclusions.

Main Results:

• The SCIS-T system successfully extracted color and texture information from skin images.
• The device provided quantitative data on inclusion size and elasticity.
• Skin surface characteristics, including color, temperature, and texture, were also assessed.
• The system demonstrated potential in differentiating between normal and abnormal tissue characteristics.

Conclusions:

• The SCIS-T is a promising non-invasive mobile tool for assessing mechanical and surface properties of tissue inclusions.
• This technology has significant potential for the early identification of inflammatory breast cancer.
• Further clinical validation is warranted to confirm its efficacy in real-world diagnostic scenarios.