Hybrid volumetric modulated arc therapy for chest wall irradiation: For a good plan, get the right mixture
•Utility of hybrid-VMAT for chest wall and supraclavicular node irradiation was studied.•Optimal dose weighting for hybrid-VMAT was demonstrated.•Hybrid-VMAT was dosimetrically compared with field-in-field and VMAT.•Hybrid -VMAT plans achieved balanced results for planning target and critical organs...
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Veröffentlicht in: | Physica medica 2018-08, Vol.52, p.86-92 |
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Sprache: | eng |
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Zusammenfassung: | •Utility of hybrid-VMAT for chest wall and supraclavicular node irradiation was studied.•Optimal dose weighting for hybrid-VMAT was demonstrated.•Hybrid-VMAT was dosimetrically compared with field-in-field and VMAT.•Hybrid -VMAT plans achieved balanced results for planning target and critical organs.
To find the optimal dose weighting for hybrid volumetric modulated arc therapy (H-VMAT), a combination of conventional 3DCRT and VMAT plans for left sided chest wall and supraclavicular radiation therapy.
20 left-sided breast cancer patients who received adjuvant radiotherapy were considered for this study. To find the optimal weighting, 5 H-VMAT plans were generated for each study case by combining different dose proportions of 3DCRT and VMAT plans including: 90% 3DCRT/10% VMAT, 80% 3DCRT/20% VMAT, 70% 3DCRT/30% VMAT, 60% 3DCRT/40% VMAT, 50% 3DCRT/50% VMAT. Further field-in-field, optimal H-VMAT and VMAT alone plans were compared.
All H-VMAT plans achieved the expected target coverage. A higher conformity index was achieved for 50% 3DCRT/50% VMAT plan, while better homogeneity index was achieved for 80% 3DCRT/20% VMAT plan. Mean and low doses were less in 90% 3DCRT/10% VMAT plan. Compared with other proportions, 80% 3DCRT/20% VMAT and 70% 3DCRT/30% VMAT weighted H-VMAT plans achieved balanced results for PTVs and OARs.
The optimal dose mixture for H-VMAT technique is 70% to 80% for 3DCRT and 20% to 30% for VMAT. The optimal H-VMAT achieved balanced results for the PTVs and OARs compared with field-in-field and VMAT alone plans. |
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ISSN: | 1120-1797 1724-191X |
DOI: | 10.1016/j.ejmp.2018.06.641 |