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Session: Therapy General ePoster Viewing [Return to Session]

Evaluation of An Angle Optimization Algorithm in Breast Cancer Treatment Planning

Y Guo1*, J Wang2, (1) ,,,(2) Fudan University Shanghai Cancer Center, Shanghai, ,CN

Presentations

PO-GePV-T-286 (Sunday, 7/10/2022)   [Eastern Time (GMT-4)]

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Purpose: To evaluation a commercial automatic beam angel optimization (BAO) algorithm in breast cancer radiotherapy.

Methods: Twenty-one patients who previously treated with radiotherapy and breast conserving surgery were enrolled in this study, including 10 patients with left breast cancer and 11 with right breast cancer. among these patients, 10 were treated with prescription dose 48Gy, 11 were treated with prescription dose 50Gy.For each patient, two IMRT plans were developed with different set of beams angles. One set of beams angles was generated by an automatic beam angel optimization and the other was manually set by physicists. The algorithm was developed by United Image (Shanghai, China) which was based on a new Multi-stage optimization approach. The Method introduces Branch-and-Prune to generate a feasible solution in the first phase. A simplex method is applied to find a local optimal solution from the Phase I starting point in the second phase. Both two plans were generated on UIH TPS (United Imaging, Shanghai, China) and use same number of beams, prescription and optimization constraint objective. The maximum dose (Dmax), homogeneity and conformity Index (HI, CI) of PTV and mean doses of relevant organs-at-risk (OARs) were compared.

Results: There were no significant different in PTV Dmax, HI and CI for two plans (p>0.05). In terms of OARs, BAO plans achieved less value in Ipsilateral lung V5 (35.5%±5.6%) compared to manual beam angle plans (36.9%±4.3%, P=0.034). There were no significant different in Ipsilateral lung V20 and heart mean dose (p>0.05). No significant different were observed for all contralateral lung and contralateral breast dose volume indices.

Conclusion: The UIH automatic beam angel optimization algorithm can achieve comparable quality plans compared to manual beam angles plans.

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