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Domain-Specific Cognition-Sparing Stereotactic Radiosurgery: A Novel Planning Approach for Functional Preservation.

Brianna Hostler1, Roshan Karunamuni1, Marine Lebon2

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This summary is machine-generated.

A new stereotactic radiosurgery (SRS) planning method spares cognition by limiting radiation dose to the cognitive connectome. This approach is feasible for various brain conditions, offering a patient-centered way to preserve memory and other cognitive functions.

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Area of Science:

  • Neurosurgery and Radiation Oncology
  • Neuroscience and Cognitive Science

Background:

  • Stereotactic radiosurgery (SRS) is a key treatment for intracranial lesions.
  • Protecting cognitive function after SRS is a growing clinical concern.
  • The cognitive connectome, encompassing white matter tracts and hippocampi, is crucial for cognitive domains.

Purpose of the Study:

  • Introduce a novel cognition-sparing SRS planning framework.
  • Quantify the framework's ability to limit radiation dose to the cognitive connectome.
  • Demonstrate preferential sparing of memory, language, executive function, attention, and fine motor control.

Main Methods:

  • Selected three SRS cases with diverse intracranial pathologies and competing domain priorities.
  • Utilized automated segmentation (AtlasTrack, FreeSurfer/FastSurfer) for the cognitive connectome.
  • Generated standard, domain-optimized, and composite plans using non-coplanar VMAT, comparing dose metrics.

Main Results:

  • Domain-optimized plans successfully reduced radiation dose to prioritized cognitive structures.
  • An all-domains composite plan achieved balanced dose reductions across eloquent structures.
  • Substantial mean dose reductions were achieved even when lesions were near critical structures, maintaining target coverage.

Conclusions:

  • Cognition-sparing SRS is feasible, allowing for tunable dose reduction to the cognitive connectome.
  • This approach supports patient-centered care by incorporating cognitive priorities.
  • The technique is readily translatable using standard imaging and automated segmentation, with resources available online.