Erfan Jamshidian - Simon Group, Isfahan, Iran
Sepehr Enteshari - Simon Group, Isfahan, Iran
Elias Karimzadeh - Simon Group, Isfahan, Iran
Fatimah Amini - Simon Group, Isfahan, Iran
Mojtaba Mohammadi - Specialized Researcher, Seta Research Center, Isfahan, Iran

Early cancer detection has significant clinical value, but there remains no single method that can comprehensively identify multiple types of early-stage cancer. Here, we SDVH Analytics (SDVHA) is an application to build a local database of treatment planning data for historical comparisons and statistical analysis. SDVHA builds a SQ database of SDVHs and various planning parameters from DICOM files (i.e., Plan, Structure, Dose). In addition to viewing SDVH data, this software provides methods to download queried data, cre- ate time-series plots, calculate correlations, generate multi-variable linear & machine learning regressions, and generate control charts.

SDVHA, Python, DICOM RT, treatment