Target-volume-based prescription selection for specified adverse-effect levels in automated stereotactic radiosurgery.

Authors

Joel A Pogue, Rex Cardan, Farnaz Rahim Li, Rodney Sullivan, Natalie Viscariello, Luke Moradi, John Fiveash, Richard Popple

Published in

Physics and imaging in radiation oncology. Volume 41. Pages 101093. Epub Sep 27, 2026.

Abstract

Automated stereotactic radiosurgery (SRS) planning produced consistent dose falloff, enabling adverse-effect-relevant isodose volumes ( $\mathrm{IDV}$ ) to be estimated before plan generation. We derived a direct isoeffect prescription dose ( $D_{\mathrm{RX}}$ ) model from previously validated target-volume ( $V_{\text{target}}$ ) power laws for single-isocenter automated SRS. $\mathrm{IDV}$ coefficients and exponents were modelled as continuous functions of relative isodose level ( $\mathrm{RIL}$ ), allowing $D_{\mathrm{RX}}$ to be solved from $V_{\text{target}}$ , desired $\mathrm{IDV}$ , and HyTEC brain adverse-effect dose thresholds. Across held-out levels, target-level $\mathrm{IDV}$ residuals had a median of 0.2%, an interquartile range of [-5.2%, +7.0%], and a 95% interval of [-12.8%, +27.0%].

PMID:
42861407
Bibliographic data and abstract were imported from PubMed on 12 Oct 2026.

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