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Related Experiment Video

Updated: Jan 3, 2026

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
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A simple knowledge-based tool for stereotactic radiosurgery pre-planning.

Daniel S Goldbaum1, Justin D Hurley1, Russell J Hamilton1

  • 1Department of Radiation Oncology, University of Arizona, Tucson, AZ, USA.

Journal of Applied Clinical Medical Physics
|November 20, 2019
PubMed
Summary
This summary is machine-generated.

A new model estimates normal brain tissue dose (V12) for stereotactic radiosurgery (SRS) plans, predicting radiation necrosis risk without full treatment planning. This tool aids in setting realistic planning goals for intracranial lesions.

Keywords:
V12circular arc therapy (CAT)conformity index (CI)dynamic conformal arc therapy (DCAT)modelingstereotactic radiosurgery (SRS)

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Neurosurgery

Background:

  • Stereotactic radiosurgery (SRS) for intracranial lesions requires precise dosimetry to minimize normal brain tissue exposure.
  • The volume of normal brain receiving at least 12 Gy (V12) is a critical predictor of radiation necrosis.
  • Current methods for V12 assessment necessitate complete treatment plan generation, which can be time-consuming.

Purpose of the Study:

  • To develop and validate a predictive model for estimating V12 in SRS plans.
  • To provide a tool for setting realistic planning goals and parameters before treatment plan construction.
  • To reduce planning time and resource utilization in SRS.

Main Methods:

  • Retrospective analysis of 50 single-isocenter SRS treatment plans (collimator cone arc therapy - CAT).
  • Re-planning cases using dynamic conformal arc therapy (DCAT) and applying scaling arguments for dose variations.
  • Development of a phenomenological expression relating total V12 (TV12) to planning target volume (PTV) and prescription dose (PD).

Main Results:

  • A predictive model was established to estimate TV12 as a function of PTV and PD for both CAT and DCAT plans.
  • The relationship between conformity index (CI) and TV12 was elucidated, varying by plan type, PTV, and PD.
  • The model allows for the suggestion of realistic planning parameters and goals prior to detailed plan creation.

Conclusions:

  • The developed model offers a cost-effective method for estimating V12, aiding in the optimization of SRS treatment planning.
  • This approach can guide clinicians in setting achievable dosimetric objectives, potentially reducing the incidence of radiation necrosis.
  • The model is particularly valuable in settings lacking advanced pre-planning software, requiring minimal resources for implementation.