[Development of Diffuse Reflectance Spectroscopy Detection and Analysis System for Cervical Cancer]

Area of Science:

• Biomedical Engineering
• Oncology
• Medical Diagnostics

Background:

• Cervical cancer is a prevalent malignancy in women, with increasing incidence and younger diagnoses.
• Early detection through screening is crucial for effective cancer control and improved patient outcomes.

Purpose of the Study:

• To develop a diffuse reflectance spectrum detection and analysis system for cervical cancer screening.
• To create a neural network model capable of distinguishing between normal and cancerous cervical tissues using spectral data.

Main Methods:

• Development of a spectral detection system using LabWindows software and a MariaDB database for data acquisition and storage.
• Implementation of a neural network model trained on a spectral database to analyze tissue characteristics.
• Validation of the system through nude mouse tumor models and human volunteer testing.

Main Results:

• The developed system successfully acquired and stored spectral data.
• The neural network model accurately differentiated between normal and cancerous cervical tissues.
• The system demonstrated efficacy in distinguishing tumor tissue from normal tissue in both animal models and human subjects.

Conclusions:

• The spectral detection and analysis system is a viable tool for cervical cancer screening.
• The system shows potential for identifying cervical precancerous lesions, facilitating early intervention.