A knowledge-based planning model to identify fraction-reduction opportunities in brain stereotactic radiotherapy.

Journal: Journal of applied clinical medical physics

PMID: 39985114

Abstract

OBJECTIVE: To develop and validate a HyperArc-based RapidPlan (HARP) model for three-fraction brain stereotactic radiotherapy (SRT) plans to then use to replan previously treated five-fraction SRT plans. Demonstrating the possibility of reducing the number of fractions while achieving acceptable organs-at-risk (OAR) doses with improved target biological effective dose (BED) to brain lesions.

Authors

Shane McCarthy

Medical Physics Graduate Program, Department of Radiation Medicine, University of Kentucky, Lexington, Kentucky, USA.
William St Clair

Department of Radiation Medicine, University of Kentucky, Lexington, Kentucky, USA.
Damodar Pokhrel

Medical Physics Graduate Program, Department of Radiation Medicine, University of Kentucky, Lexington, Kentucky, USA.

Keywords

Algorithms Brain Neoplasms Humans Knowledge Bases Organs at Risk Radiosurgery Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Retrospective Studies

External Resources

View on PubMed Access via DOI PubMed (39985114)

A knowledge-based planning model to identify fraction-reduction opportunities in brain stereotactic radiotherapy.

Abstract

Authors

Keywords

External Resources

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