A radiotherapy community data-driven approach to determine which complexity metrics best predict the impact of atypical TPS beam modeling on clinical dose calculation accuracy

CONCLUSION: Extreme values for MLC offset and MLC transmission beam modeling parameters were found to most substantially impact the dose distribution of clinical plans and careful attention should be given to these beam modeling parameters. The mean MLC Gap and TGi complexity metrics were best suited to identifying clinical plans most sensitive to beam modeling errors; this could help provide focus for clinical QA in identifying unacceptable plans.PMID:38427776 | DOI:10.1002/acm2.14318

Source: Clinical Prostate Cancer - March 1, 2024 Category: Cancer & Oncology Authors: Fre'Etta Mae Dayo Brooks Mallory Carson Glenn Victor Hernandez Jordi Saez Hunter Mehrens Julianne Marie Pollard-Larkin Rebecca Maureen Howell Christine Burns Peterson Christopher Lee Nelson Catharine Helen Clark Stephen Frasier Kry Source Type: research