Knowledge-Based automatic plan optimization for left-sided whole breast tomotherapy
MO-0790
Abstract
Knowledge-Based automatic plan optimization for left-sided whole breast tomotherapy
Authors: Pier Giorgio Esposito1, Roberta Castriconi1, Paola Mangili1, Sara Broggi1, Andrei Fodor2, Marcella Pasetti2, Alessia Tudda1, Nadia Gisella Di Muzio2, Antonella del Vecchio1, Claudio Fiorino1
1San Raffaele Scientific Institute, Medical Physics, Milan, Italy; 2San Raffaele Scientific Institute, Radiotherapy, Milan, Italy
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Purpose or Objective
To
implement a Knowledge-Based (KB) automatic planning approach for left-sided
whole breast treatment for the TomoDirect (TD) modality of Tomotherapy.
Material and Methods
69 TD
clinical plans were selected to train a KB-model for left sided breast cancer
patients using the RapidPlan (RP) tool implemented in the Eclipse TPS (v13.6, Varian Inc). Using the association between dosimetry and anatomy/geometry
features, RP generates models for accurate DVH prediction that can be used to
automatize plan optimization. As RP works with inverse-planning techniques
(like RapidArc, RA), virtual RA-plans were associated to the dose distributions of TD clinical plans, imported from
the Tomotherapy planning station (TomoHD system v.2.1.4). The resulting KB-model was used to set an
optimized tomotherapy template via Eclipse Scripting
API. The template was fine-tuned to optimize pitch, field width,
modulation factor, structure importance, objectives position and priority,
resulting in individually KB-optimized template. 30 out of 69 patients and 10 new patients were used for internal and external
validation respectively. KB fully-automatic TD plans (KB-TD) were generated for the validation tests
using the same gantry entrance/number of fields of the corresponding
clinical plan. The comparison between KB-TD and the original plans was made in terms of OARs/PTV dose-volume
parameters. Wilcoxon-tests were performed to assess statistically significant
differences (p<0.05).
Results
9 out of 69 patients were excluded from the model, considered to be
dosimetric outliers for at least one structure. In the internal validation PTV,
coverage (V95%) was improved (1% p<0.05) alongside D1% (0.4Gy p<0.05) and homogeneity (dose SD) (0.09Gy p<0.05). OAR mean dose was improved (p<0.05) with the
automatic approach by 0.1/0.2/0.1/0.06 Gy for ipsil. lung/heart/contral. breast/
contral. lung respectively. 4 plans out of 30 resulted to be unacceptable in
terms of PTV coverage: manually inserting one/two beams (up to a maximum
of four) was sufficient to make the plans acceptable. Concerning the external
validation, the general trend was replicated even though some differences were
found to be not significant (p>0.05), due to the small available sample (Tab.1-Fig.1). All
10 plans were considered acceptable. A field width of 2.5cm was used for all
KB-TD plans, resulting in a delivery time of 8±1min, comparing well with our
clinical experience.
Conclusion
We proposed an approach for large-scale automatic planning using the
commercially available RP tool from Varian in a different environment. The
KB-TD approach was able to generate automatic plans comparable to the clinical
ones or slightly better in terms of PTV coverage, PTV dose homogeneity and Dm
to body and OARs. Using four beams, no manual adjustment is needed after
automatic optimization. The suggested approach is under clinical
implementation, fully replacing manual plan optimization for left whole-breast
tomotherapy with TD. The study is supported
by an AIRC grant (IG23150)