Radiotherapy Outcomes Estimator (ROE) - cerr/CERR GitHub Wiki

The Radiotherapy Outcomes Estimator (ROE) is a plug-in to CERR that allows users to interactively explore the impact of altering dose on Tumor Control Probability (TCP) and Normal Tissue Complication Probability (NTCP).

The ROE interface [1]

• Applying published TCP and NTCP models
  Input dose plans are converted to the fraction number or size used in the modeled dataset before extracting dose-volume metrics and calculating TCP/NTCP following published models.

• Incorporating clinical restrictions on NTCP and dose-volume constraints ROE displays the first operative limit for each protocol by default. It includes an additional interface to view selected constraints, or to cycle through all applicable constraints in the order of their violation. Expandable tool-tips display a list of violated constraints, the fraction size or fraction number resulting in violation, and the corresponding NTCP and tumor BED.

• Patient-specific prescription selection
  Using published TCP and NTCP models, while accounting for clinical restrictions on DVH/NTCP factors enables prescription personalization.

• Fractionation selection
  Can be achieved by comparing the maximum achievable TCP or BED while meeting normal tissue (NTCP/DVH) constraints, under different fractionation schemes.

• ROE is bundled with CERR. See: installing CERR.

• Architecture

• Current list of dosimetric models

• Usage

• Accessing ROE tools in Python

• Harmonizing structure names for batch-mode analyses

• Adding custom TCP/NTCP models to ROE

---

1. Iyer, A., et al. ROE (Radiotherapy Outcomes Estimator): An Open-Source Tool for Optimizing Radiotherapy Prescriptions (2023). Computer Methods and Programs in Biomedicine: 107833.