A cross-platform and distributive database system for cumulative tumor measurement.

Area of Science:

• Medical Informatics
• Oncology
• Database Systems

Background:

• Longitudinal tumor measurement tracking is crucial for cancer patient management.
• Current systems often lack cross-platform accessibility and vendor independence.
• Integrating clinical findings with imaging data presents workflow challenges for oncologists.

Purpose of the Study:

• To develop a cross-platform, web-accessible, vendor-independent database system.
• To enable storage and comparison of longitudinal tumor measurements for multiple tumors.
• To create comprehensive cumulative reports linking clinical findings to original image studies.

Main Methods:

• Development of a novel database architecture.
• Implementation of web accessibility features.
• Integration of data storage, comparison, and reporting functionalities.

Main Results:

• A functional database system capable of handling longitudinal tumor data was developed.
• The system successfully generated cumulative reports linking clinical findings to image studies.
• A case study demonstrated the system's utility with a pancreatic tumor dataset (524 measurements, 134 patients).

Conclusions:

• The developed database system enhances oncologists' workflow by providing integrated clinical and imaging data.
• This vendor-independent, web-accessible solution supports efficient management of longitudinal tumor measurements.
• The system offers a valuable tool for clinical decision-making in oncology.