Journal of Medical Physics
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REVIEW ARTICLE
Year : 2021  |  Volume : 46  |  Issue : 3  |  Page : 135-139

Paradigm shift in radiation treatment planning over multiple treatment modalities


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
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Source of Support: None, Conflict of Interest: None


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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