Gamma knife knowledge‐based planning with isocenter selection
Binghao Zhang, Mark Ruschin, Timothy C. Y. Chan · 2026
Read Gamma knife knowledge‐based planning with isocenter selection by Binghao Zhang, Mark Ruschin, Timothy C. Y. Chan (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13175956.txt.
Description
Zhang, Ruschin, and Chan present a study from twenty twenty-six on automated planning for Gamma Knife radiosurgery. Good plans balance dose shaping against treatment length. A recent pipeline predicts dose but still needs hand-picked beam centers. Their pipeline chooses centers and beam times together by optimization. Twenty patient cases from one center supply the test data. At fixed center counts, conformity matches the older pipeline. Dose falloff outside the target improves significantly.
With free center counts, conformity beats historical clinical plans. Treatment times run slightly longer in exchange. Quality indices cover coverage and selectivity as well. The authors see effort savings for high-grade plans.
Catalog record
| CREATOR | Binghao Zhang, Mark Ruschin, Timothy C. Y. Chan |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |