Session Item

Saturday
August 28
10:30 - 11:30
Plenary
Proffered papers 3: Breast
Dorota Gabrys, Poland;
Icro Meattini, Italy
Proffered papers
Clinical
Tangential VMAT and IMRT for WBI compared using automated multi-criterial treatment planning
Laura Redapi, Italy
PD-0749

Abstract

Tangential VMAT and IMRT for WBI compared using automated multi-criterial treatment planning
Authors:

laura redapi1, linda rossi2, livia marrazzo3, joan J.Penninkhof4, stefania pallotta5, ben Heijmen6

1 University of Florence, Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, Florence, Italy; 2 Erasmus MC Cancer Institute, Department of Radiation Oncology, Rotterdam, The Netherlands; 3 University of Florence, Department of Experimental and Clinical Biomedical Sciences “Mario Serio”,, Florence, Italy; 4 Erasmus MC Cancer Institute, Department of Radiation Oncology, Rotterdam, The Netherlands; 5University of Florence, Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, Florence, Italy; 6 Erasmus MC Cancer Institute, Department of Radiation Oncology,, Rotterdam, The Netherlands

Show Affiliations
Purpose or Objective

A limitation of all published studies comparing VMAT and IMRT for whole-breast irradiation (WBI) is the use of manual planning, making results dependent on planner experience and allotted planning time. Moreover, sample sizes are always small, probably related to the manual planning workload. Comparisons for deep-inspiration breath-hold (DIBH) treatment were only performed in two small studies using manual planning and presenting diverging conclusions. The aim of this study was to use automated planning to systematically compare for a large cohort of left-sided breast cancer patients treated with DIBH two delivery techniques for WBI: 1) IMRT with two tangential fields, 2) VMAT with two small tangential arcs.

Material and Methods

Forty-eight randomly selected left-sided breast cancer patients, treated with postoperative WBI in DIBH and daily CBCT setup correction, were included. Patients were clinically treated with a hybrid technique (tangential open and IMRT fields). Generation of autoIMRT and autoVMAT plans was performed with an in-house system for automated multi-criterial generation of deliverable IMRT and VMAT plans, which was configured for plan generation in line with clinical requirements. AutoIMRT and autoVMAT plans were compared in terms of dosimetric plan parameters, estimated excess relative risks (ERR) for toxicities, and delivery times, MUs, and delivery accuracy at a linac, the latter assessed with an Octavius phantom with a 2D-array729 (PTW Freiburg GmbH).

Results

Fig. 1 shows for most patients relatively large gains for autoVMAT compared to autoIMRT in PTV hot spots, heart and ipsilateral lung at the price of minor losses in contralateral breast and lung. Compared to autoIMRT, mean heart doses and mean ipsilateral lung doses in autoVMAT plans were on average reduced by 0.4 Gy (range:  -0.2-1.6 Gy) and 2.0 Gy (range: -0.4-4.5 Gy), respectively with estimated  average ERR reductions for major coronary events and ipsilateral lung tumors of 3% (range: -1%-12%) and 17% (range: -3%-38%), respectively. There were no statistically significant differences in ɤ passing rates, while a moderate increase in treatment time (68 vs 52 s) and an improvement in MUs (675 vs 273) for autoVMAT were observed. Fig. 2 presents for a selected patient autoVMAT and autoIMRT dose distributions, showing reduced ipsilateral lung and heart doses with autoVMAT and slightly enhanced contralateral breast dose. 

Conclusion

For left-sided WBI in DIBH, autoVMAT with two tangential subarcs was overall favourable compared to autoIMRT with two tangential static fields. Although autoVMAT was favourable for most patients, for some patients, autoIMRT could have been a better choice because of a significantly lower contralateral breast dose. Automatic generation of an autoIMRT and an autoVMAT plan for each patient could be used for personalized selection of the best patient-specific plan, without increasing planning workload.