Frequently Asked Questions

Predictive Planning makes use of predicted dose volume histograms (DVH) to supply personalized dosimetric goals for treatment plan optimization and evaluation for these disease sites:
 
  • Prostate
In addition to Predictive Planning for select indications, Oncospace is also an application for the entire planning workflow with protocol management tools that help confirm data integrity and communicate planning intent, as well as scorecards that allow for evaluation of planning results of all radiation therapy planning indications.
Properly configured, Oncospace will send to a TPS information in the “Physician Directive” (e.g., predicted dose objectives and delivery method) to support the creation of a treatment plan to these treatment planning systems:
 
  • Philips PINNACLE

 

For a treatment plan with a defined dose prescription to one or more target volumes, Oncospace Predictive Planning predicts achievable dose volume histograms (DVH) for organs at risk (OAR). The machine learning (ML) model used for dose predictions takes as inputs the prescription and a range of features describing the spatial relationship between the target(s) and each OAR.  For each DVH volume, a dose range is predicted representing the level of OAR dose sparing that should be achievable.

Oncospace Predictive Planning uses a regression ensemble ML model, including feature extraction and 5-fold cross-validation for hyperparameter optimization.

 
 
Refer to the following for more information:
 
Oncospace preserves user specified naming while adhering to the following naming convention for Organ at Risk (OAR) structures when creating protocol templates and machine learning models:
 
  • American Association of Medical Physicists (AAPM) Task Group (TG)-263
Access Oncospace from almost anywhere with these supported web browsers:
 
  • Apple SAFARI 14, or later
  • Google CHROME 79, or later
  • Microsoft EDGE 79, or later
  • Mozilla FIREFOX 68, or later