| REVIEW ARTICLE |
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| Year : 2021 | Volume
: 46
| Issue : 3 | Page : 135-139 |
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Paradigm shift in radiation treatment planning over multiple treatment modalities
Benjamin Insley1, I-Chow Hsu2, J Adam Martin Cunha2
1 Department of Physics, Brown University, Providence, Rhode Island, USA
2 Department of Radiation Oncology, University of California, San Francisco, California, USA
Correspondence Address:
Mr. Benjamin Insley
7 Cedar Crest Drive, Sparta, NJ 07871
USA
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/jmp.JMP_66_20
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The inverse planning simulated annealing optimization engine was used to develop a new method of incorporating biological parameters into radiation treatment planning. This method integrates optimization of a radiation schedule over multiple types of delivery methods into a single algorithm. We demonstrate a general procedure of incorporating a functional biological dose model into the calculation of physical dose prescriptions. This paradigm differs from current practice in that it combines biology-informed dose constraints with a physical dose optimizer allowing for the comparison of treatment plans across multiple different radiation types and fractionation schemes. |
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