Improving Knowledge-based planning for right-side whole-breast tangential field-like delivery
MO-0789
Abstract
Improving Knowledge-based planning for right-side whole-breast tangential field-like delivery
Authors: Roberta Castriconi1, Livia Marrazzo2, Silvia Calusi3, Pier Giorgio Esposito1, Alessia Tudda1, Sara Broggi1, Paola Mangili1, Antonella del Vecchio1, Stefania Pallotta2,3, Claudio Fiorino1
1IRCCS San Raffaele Scientific Institute, Medical Physics, Milan, Italy; 2Careggi University Hospital, Medical Physics, Florence, Italy; 3University of Florence, Biomedical, experimental and clinical sciences, Florence, Italy
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Purpose or Objective
To investigate the possibility of training a Knowledge-Based
(KB) model by a robust auto-planning technique for the right-sided (R) whole
breast treatment with ViTAT (Virtual Tangential Arc Therapy).
Material and Methods
Since 2020, an automatic KB-planning approach using a
volumetric technique ViTAT, that mimics conventional Tangential Field (TF) for
R-irradiation, was clinically implemented fully replacing manual TF optimization.
ViTAT plans consisted of 4 arcs (6MV) optimized with a VMAT technique (Rapid
Arc, Varian) with start/stop angles consistent with TF geometry (60°/220°);
arcs were completely blocked, apart from the first and last 20° of rotation. The implemented KB-model was based on 80 clinical TF plans
(TF-model) and trained by the RapidPlan (RP) tool implemented in the
Eclipse TPS (v13.6, Varian): all patients were treated to 40Gy in 15 fractions.
The same patients were re-optimized by the Auto-Planning (AP) module
implemented in the Pinnacle TPS (Philips) using intensity-modulated fixed 6MV tangential
beams, according to an optimized template developed in another Institute. Beam
angles were manually chosen for each patient, while planning was done with no
further manual intervention. The resulting dose distributions were used to
build a new KB-model using RP (AP-model), aiming to stress the performances of
ViTAT. Validation tests were performed on 20 new patients for both KB-plans
optimized with AP-model (APm-KBP) and TF-model (TFm-KBP). KB-ViTAT plans were
compared in terms of OARs/PTVs dose-volume parameters. Wilcoxon-tests were
performed to assess statistically significant differences (p<0.05).
Results
The goodness of
the regression model, indicated by the R2 parameter, was higher for
the AP-model for all OARs. Of note, the R2 for AP-model/TF-model was
0.63/0.60 for the ipsilateral lung; 0.69/0.44 for the heart; 0.53/0.44 for the
contralateral breast and 0.61/0.55 for the contralateral lung, reflecting the
absence of any inter-planner variability in the AP-model. Concerning planning
performances, APm-KBP resulted in a better sparing of the ipsilateral lung with
respect to TFm-KBP, while coverage and other OARs were similar (figure 1). PTV V95%
was 96.5/96.7% for APm-KBP/TF-m-KBP, respectively; D1% was 41.8/41.9 Gy. The ipsilateral
lung V20Gy was 12.8/13.7% (p=0.000007), V35Gy was 4.5/5.5%
(p=0.000001) and the mean dose (Dm) was 6.5/7.0Gy (p=0.0001). On average, APm-KBP contralateral OARs were equivalent to TFm-KBP.
Conclusion
We demonstrated
the possibility of further improving KB-planning for tangential-like whole
breast radiotherapy using a model trained with a more consistent and robust
technique obtained by auto-plan optimization. The APm-KBP was able to generate
automatic plans better than the KB based on clinical ones. Using APm-KBP it was
possible to significantly improve the sparing of the ipsilateral lung
DVH-tailor, without any compromise of the PTV coverage.
Acknowledge: The study is supported by an AIRC grant (IG23150).