OncoSharp

OncoSharp is a modular C# library for radiation oncology research and development, with a strong focus on dose-volume histogram (DVH) analysis and biologically informed treatment modeling.

It provides robust support for key radiotherapy quantities including:

• 📦 Volume
• 🎯 Physical dose
• ⚗️ Radiobiological dose (e.g., EQD2, EQD0, BED)
• 🧬 Tumor cell density
• 🔬 PET tracer activity
• 🧪 Partial oxygen pressure (pO₂)
• 📈 Probability values (e.g., TCP/NTCP)
• 📅 Number of fractions

Built for high-performance and extensibility, OncoSharp includes tools to compute:

• 📊 Cumulative and differential DVHs
• 📈 Tumor Control Probability (TCP)
• 📉 Normal Tissue Complication Probability (NTCP)

The library is ideal for advanced treatment evaluation, radiobiological plan optimization, and developing next-generation clinical decision-support tools in radiotherapy.

📦 Use Cases

• Radiation oncology research and academic prototyping
• Development of QA tools for RT planning and evaluation
• Clinical plan comparison and DVH-based analysis
• Integration into larger medical imaging or planning systems
• TCP and NTCP modeling

🔧 Installation

TBD — NuGet package and build instructions will be provided in a future release.

🛡️ Licensing

OncoSharp is distributed under a dual-license model:

• 🧪 Free Academic License
  Free for non-commercial academic research, education, and non-profit use.
  See LICENSE_ACADEMIC.md for details.

• 💼 Commercial License Required
  Commercial, clinical, or for-profit use requires a separate paid license.
  Please contact [ilias.sachpazidis@gmail.com] to obtain commercial licensing terms.

By using this software, you agree to the terms of the applicable license.

👥 Contributing

We welcome contributions from the community!

• Report bugs or request features via Issues
• Submit pull requests for improvements
• Help improve documentation or add examples

Please read the CONTRIBUTING.md guide before submitting changes.

📚 Documentation

Comprehensive documentation is in development. Future updates will include:

• API reference
• Tutorials
• Sample applications

📫 Contact

For commercial licensing, collaboration opportunities, or questions, please reach out to:

[Dr. Ilias Sachpazidis]
📧 ilias.sachpazidis@gmail.com

📖 Citation

If you use OncoSharp in academic research, please cite it as:

```bibtex @software{oncosharp2025, author = {Ilias Sachpazidis}, title = {OncoSharp: A .NET Toolkit for Radiotherapy Applications}, year = {2025}, url = {https://github.com/isachpaz/OncoSharp} }