Incorporation of Brain Connectomics for Stereotactic Radiosurgery Treatment Planning.


Journal

Operative neurosurgery (Hagerstown, Md.)
ISSN: 2332-4260
Titre abrégé: Oper Neurosurg (Hagerstown)
Pays: United States
ID NLM: 101635417

Informations de publication

Date de publication:
01 10 2023
Historique:
received: 20 04 2023
accepted: 08 05 2023
medline: 18 9 2023
pubmed: 6 8 2023
entrez: 6 8 2023
Statut: ppublish

Résumé

Neurosurgeons have integrated neuroanatomy-based tractography to avoid critical structures during dose planning. However, they have yet to integrate more comprehensive connectome networks for radiosurgical planning. A young man presented with a Spetzler-Martin Grade 3 right temporal arteriovenous malformation. As proof of concept, we incorporated connectomic networks including default mode network, optic radiation and central executive network into the Gamma Knife radiosurgical treatment planning workflow. Connectome networks were created from T1 anatomic and diffusion-weighted images magnetic resonance images using Quicktome software. The resulting networks were voxel-encoded in the magnetic resonance images, imported into GammaPlan, and segmented by image thresholding. The GammaPlan Lightning optimizer was used to create radiosurgical plans with a dose of 20 Gy to the 50% isodose line delivered to the arteriovenous malformation nidus both with and without treating these networks as risk structures. When taking into account the connectome networks, a maximum dose restriction of 14 Gy was placed on each network during lightning dose planning. With default mode network, optic radiation, and central executive network as risk structures, the maximum dose and V 12Gy were reduced by 23.4% and 88.3%, 20% and 34.3%, and 29.8% and 63.2%, respectively. We were able to incorporate connectomes into radiosurgical dose planning approaches. This allowed for dose reductions to the networks while still achieving delivery of a therapeutic dose to the target volume.

Sections du résumé

BACKGROUND AND IMPORTANCE
Neurosurgeons have integrated neuroanatomy-based tractography to avoid critical structures during dose planning. However, they have yet to integrate more comprehensive connectome networks for radiosurgical planning.
CLINICAL PRESENTATION
A young man presented with a Spetzler-Martin Grade 3 right temporal arteriovenous malformation.
DISCUSSION
As proof of concept, we incorporated connectomic networks including default mode network, optic radiation and central executive network into the Gamma Knife radiosurgical treatment planning workflow. Connectome networks were created from T1 anatomic and diffusion-weighted images magnetic resonance images using Quicktome software. The resulting networks were voxel-encoded in the magnetic resonance images, imported into GammaPlan, and segmented by image thresholding. The GammaPlan Lightning optimizer was used to create radiosurgical plans with a dose of 20 Gy to the 50% isodose line delivered to the arteriovenous malformation nidus both with and without treating these networks as risk structures. When taking into account the connectome networks, a maximum dose restriction of 14 Gy was placed on each network during lightning dose planning. With default mode network, optic radiation, and central executive network as risk structures, the maximum dose and V 12Gy were reduced by 23.4% and 88.3%, 20% and 34.3%, and 29.8% and 63.2%, respectively.
CONCLUSION
We were able to incorporate connectomes into radiosurgical dose planning approaches. This allowed for dose reductions to the networks while still achieving delivery of a therapeutic dose to the target volume.

Identifiants

pubmed: 37543746
doi: 10.1227/ons.0000000000000818
pii: 01787389-990000000-00823
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e211-e215

Informations de copyright

Copyright © Congress of Neurological Surgeons 2023. All rights reserved.

Références

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Auteurs

Sam Dayawansa (S)

Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA.

David Schlesinger (D)

Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA.

Georgios Mantziaris (G)

Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA.

Chloe Dumot (C)

Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA.

Joseph H Donahue (JH)

Department of Radiology, University of Virginia, Charlottesville, Virginia, USA.

Jason P Sheehan (JP)

Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA.

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