A structured light-based system for scanning subcutaneous tumors in laboratory animals

Area of Science:

• Oncology
• Drug Discovery
• Biomedical Engineering

Background:

• Tumor size is a key endpoint in preclinical anticancer drug efficacy studies.
• Current methods for high-throughput tumor volume measurement are often slow and inaccurate.
• Operator variability and bias can affect the reliability of existing techniques.

Purpose of the Study:

• To introduce a novel laser-scanning technology for high-throughput tumor measurement.
• To provide a more accurate and efficient method for assessing anticancer drug efficacy.
• To reduce interoperator variability and bias in tumor volume data collection.

Main Methods:

• Development and implementation of a laser-scanning system for tumor volume acquisition.
• Automated data collection, processing, and analysis capabilities.
• Comparison with existing methods to assess efficiency and accuracy.

Main Results:

• The laser-scanning system provides a convenient and high-throughput solution for tumor measurement.
• Significant reduction in interoperator variability and bias was observed.
• Automated data handling streamlines the evaluation of preclinical anticancer drug efficacy.

Conclusions:

• Laser-scanning technology offers a superior method for preclinical tumor volume assessment.
• This technology facilitates faster and more reliable evaluation of novel anticancer agents.
• The system enhances the efficiency and accuracy of drug discovery pipelines.