UCSD_DataMiningHighMod

One-off data-mining analysis that identifies external-beam radiotherapy plans with high modulation factors from locally exported ARIA patient databases. Not a maintained tool; paths are hardcoded for the author's environment.

How it works

Everything lives in FindingHighModulationPatients/FindModulationPatients.cs:

1. Loads patient JSON files exported from ARIA (read with AriaDataBaseJsonReader from the sibling Make_Raystation_Data_StructureCSharp solution: DataBaseStructure, DataBaseFileManager, DataWritingTools).
2. Walks each patient's courses and keeps only treatment-approved external-beam plans.
3. For each beam set, sums monitor units over beams with MU > 0 and computes a modulation factor = total MU / prescribed dose per fraction (highest prescription target dose).
4. Writes ModulationPatients.csv with MRN, plan review date, course, plan name, dose per fraction, fraction count, total dose, beam count, modulation factor, and delivery technique.

Requirements

• .NET Framework 4.8; Newtonsoft.Json 13.
• Builds as a class library and references three projects from a sibling Make_Raystation_Data_StructureCSharp checkout, so it does not build standalone.
• Input JSON directories and the output CSV path are hardcoded in Main (local database folders and a UCSD network share); edit them before running.