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Replacing Manual Planning of Whole Breast Irradiation With Knowledge-Based Automatic Optimization by Virtual Tangential-Fields Arc Therapy.
Castriconi, Roberta; Esposito, Pier Giorgio; Tudda, Alessia; Mangili, Paola; Broggi, Sara; Fodor, Andrei; Deantoni, Chiara L; Longobardi, Barbara; Pasetti, Marcella; Perna, Lucia; Del Vecchio, Antonella; Di Muzio, Nadia Gisella; Fiorino, Claudio.
Affiliation
  • Castriconi R; Medical Physics, San Raffaele Scientific Institute, Milano, Italy.
  • Esposito PG; Medical Physics, San Raffaele Scientific Institute, Milano, Italy.
  • Tudda A; Medical Physics, San Raffaele Scientific Institute, Milano, Italy.
  • Mangili P; Medical Physics, San Raffaele Scientific Institute, Milano, Italy.
  • Broggi S; Medical Physics, San Raffaele Scientific Institute, Milano, Italy.
  • Fodor A; Radiotherapy, San Raffaele Scientific Institute, Milano, Italy.
  • Deantoni CL; Radiotherapy, San Raffaele Scientific Institute, Milano, Italy.
  • Longobardi B; Medical Physics, San Raffaele Scientific Institute, Milano, Italy.
  • Pasetti M; Radiotherapy, San Raffaele Scientific Institute, Milano, Italy.
  • Perna L; Medical Physics, San Raffaele Scientific Institute, Milano, Italy.
  • Del Vecchio A; Medical Physics, San Raffaele Scientific Institute, Milano, Italy.
  • Di Muzio NG; Radiotherapy, San Raffaele Scientific Institute, Milano, Italy.
  • Fiorino C; Medical Physics, San Raffaele Scientific Institute, Milano, Italy.
Front Oncol ; 11: 712423, 2021.
Article in En | MEDLINE | ID: mdl-34504790
ABSTRACT

PURPOSE:

To implement Knowledge Based (KB) automatic planning for right and left-sided whole breast treatment through a new volumetric technique (ViTAT, Virtual Tangential-fields Arc Therapy) mimicking conventional tangential fields (TF) irradiation. MATERIALS AND

METHOD:

A total of 193 clinical plans delivering TF with wedged or field-in-field beams were selected to train two KB-models for right(R) and left(L) sided breast cancer patients using the RapidPlan (RP) tool implemented in the Varian Eclipse system. Then, a template for ViTAT optimization, incorporating individual KB-optimized constraints, was interactively fine-tuned. ViTAT plans consisted of four arcs (6 MV) with start/stop angles consistent with the TF geometry variability within our population; the delivery was completely blocked along the arcs, apart from the first and last 20° of rotation for each arc. Optimized fine-tuned KB templates for automatic plan optimization were generated. Validation tests were performed on 60 new patients equally divided in R and L breast treatment KB automatic ViTAT-plans (KB-ViTAT) were compared against the original TF plans in terms of OARs/PTVs dose-volume parameters. Wilcoxon-tests were used to assess the statistically significant differences.

RESULTS:

KB models were successfully generated for both L and R sides. Overall, 1(3%) and 7(23%) out of 30 automatic KB-ViTAT plans were unacceptable compared to TF for R and L side, respectively. After the manual refinement of the start/stop angles, KB-ViTAT plans well fitted TF-performances for these patients as well. PTV coverage was comparable, while PTV D1% was improved with KB-ViTAT by R0.4/L0.2 Gy (p < 0.05); ipsilateral OARs Dmean were similar with a slight (i.e., few % volume) improvement/worsening in the 15-35 Gy/2-15 Gy range, respectively. KB-ViTAT better spared contralateral OARs Dmean of contralateral OARs was 0.1 Gy lower (p < 0.05); integral dose was R5%/L8% lower (p < 0.05) than TF. The overall time for the automatic plan optimization and final dose calculation was 12 ± 2 minutes.

CONCLUSIONS:

Fully automatic KB-optimization of ViTAT can efficiently replace manually optimized TF planning for whole breast irradiation. This approach was clinically implemented in our institute and may be suggested as a large-scale strategy for efficiently replacing manual planning with large sparing of time, elimination of inter-planner variability and of, seldomly occurring, sub-optimal manual plans.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: Front Oncol Year: 2021 Document type: Article Affiliation country: Italy

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: Front Oncol Year: 2021 Document type: Article Affiliation country: Italy