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Predicting the Complexity of Head and Neck VMAT Planning Using a TPS Quality Assurance Software

M Sasaki1*, Y Nakaguchi2, S Ueda3, Y Endo4, A Kajino5, D Sato6, H Ikushima7, (1) Department of Therapeutic Radiology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, JP, (2) TOYO-MEDIC Co.,Ltd, Tokyo, JP, (3)Department of Radiological Technology, Yawatahama City General Hospital, Ehime, JP, (4)Graduate School Medical Sciences, Tokushima University, Tokushima, JP, (5)Graduate School of Health Sciences, Tokushima University, Tokushima, JP, (6)Graduate School of Health Sciences, Tokushima University, Tokushima, JP, (7)Department of Therapeutic Radiology, Institute of Biomedical Sciences, Tokushima University Graduate School,Tokushima,JP

Presentations

PO-GePV-M-292 (Sunday, 7/10/2022)   [Eastern Time (GMT-4)]

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Purpose: The more complex the treatment plan, the higher the possibility of errors in dose verification. Recently, a treatment planning quality assurance (QA) software (PlanIQ) that has a function to objectively evaluate the quality of volumetric-modulated arc therapy (VMAT) treatment plans by scoring and calculating the ideal dose-volume histogram has been marketed. This study aimed to assess the association between the scores of ideal treatment plans identified using PlanIQ and the results of dose verification, and to investigate whether the results of dose verification can be predicted based on the complexity of treatment plans.

Methods: Dose verification was performed using an ionization chamber dosimeter, a radiochromic film, and a three-dimensional dose verification system, Delta4 PT. Correlations between the ideal treatment plan scores obtained by PlanIQ and the results of the absolute dose verification and dose distribution verification were obtained, and it was examined whether dose verifications could be predicted from the complexity of the treatment plans.

Results: Even when the score from the ideal treatment plan was high, the results of absolute dose verification and dose distribution verification were sometimes poor. However, even when the score from the ideal treatment plan was low, the absolute volume verification and dose distribution verification sometimes yielded good results.

Conclusion: The complexity of the treatment plan can be determined in advance from the score of the ideal treatment plan calculated by PlanIQ. However, it is difficult to predict the results of dose verification using an ideal treatment plan.⁽

Funding Support, Disclosures, and Conflict of Interest: Yuji Nakaguchi is an employee of TOYO MEDIC CO., LTD.

Keywords

Quality Assurance, Radiation Therapy

Taxonomy

TH- External Beam- Photons: IMRT/VMAT dose optimization algorithms

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