56th SSRMP Annual Meeting

Session

Session V

1 Dec 2023, 13:30

Konferenzsaal Coronado (Conference Center)

9. Adaptation of left-sided breast deep learning auto-planning model for right-sided breast treatments

Michele Zeverino (CHUV)

01/12/2023, 13:30

Radiation Therapy

Oral

Purpose: To develop an auto-planning strategy for right-sided breast treatments by adapting the deep learning-based predicted dose from a pre-existing left-sided breast model.
Methods: The procedure was executed in RayStation v12A TPS and applied to early breast cancer treatments delivering 48Gy/42.4Gy in 16 fractions for PTVBoost and PTVBreast, respectively. Initially, the predicted dose...

15. DeepSMCP – deep-learning powered denoising of MC dose distributions

Raphael Joost (Division of Medical Radiation Physics and Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern, Bern, Switzerland)

01/12/2023, 13:40

Radiation Therapy

Oral

Purpose: To develop a fast, deep-learning based Monte Carlo dose distributions (MCDD) denoising framework for 6, 10 and 15 MV volumetric modulated arc therapy (DeepSMCP) and integrate it into the Swiss Monte Carlo Plan (SMCP).

Methods: DeepSMCP is integrated into the SMCP framework as an additional dose-calculation algorithm and can be selected using the SMCP’s graphical user...

4. Quality assessment of automatically planned O-Ring linac SBRT plans for lung metastases, evaluating the optimal minimum target size

Katerine Viviana Diaz Hernandez (University of Zurich)

01/12/2023, 13:50

Radiation Therapy

Oral

Purpose
The objective of this study is to assess the feasibility of automated O-Ring Halcyon Linac SBRT plans for lung metastases and determine a Planning Target Volume (PTV) threshold as an indicator of plan quality. The study also contrasts plan quality and treatment durations between Halcyon Linac (HAL) and CyberKnife (CK) robotic SBRT.
Methods
A total of 17 previously treated CK lung...

41. Dosimetrically motivated collimator angle optimization for linac-based stereotactic radiosurgery of multiple brain metastases

Nathan Torelli (Department of Radiation Oncology, University Hospital Zurich and University of Zurich)

01/12/2023, 14:00

Radiation Therapy

Oral

Purpose: The selection of the collimator angle for linac-based stereotactic radiosurgery (SRS) of multiple brain metastases (BMs) is important to reduce the bridge dose in between the different lesions and minimize brain toxicities. In this work, we developed an algorithm which simultaneously optimizes the dose distribution and the collimator angle for SRS of multiple BMs.

Methods:...

29. Development of a workflow to upload treatment plans generated with a research TPS into the commercial Eclipse TPS

Florian Dietsche

01/12/2023, 14:10

Radiation Therapy

Oral

Purpose: Research treatment planning systems (TPS) are needed for further development of optimization algorithms and exploration of novel concepts not supported by commercial TPS. However, research TPS are not approved medical products and lack the rigorous testing of commercial TPS. In this work, we developed a tool to upload treatment plans generated with our in-house TPS into the...

13. Quality assurance for implementation of online adaptive radiotherapy

Térence Risse (Réseau Hospitalier Neuchâtelois)

01/12/2023, 14:20

Radiation Therapy

Oral

Purpose
The aim of this project is to verify the entire treatment quality of Ethos (Varian, Pola Alto, USA) online adaptive radiotherapy (oART).

Methods
An end-to-end test, specifically designed for oART, was conducted with a water-equivalent 3D printed pelvis phantom. Five organs were included in this phantom: bladder, prostate, rectum and femoral heads. The organs were modeled...

44. Failure modes and effects analysis of the daily adaptive proton therapy workflow at PSI

Katarzyna Czerska (PSI - Paul Scherrer Institut)

01/12/2023, 14:30

Radiation Therapy

Oral

Purpose:
Daily adaptive proton therapy (DAPT) differs significantly from established processes in conventional radiotherapy. Online adaptation is technologically challenging, needs to be fast and automated and involves new, non-routine steps (e.g., daily plan re-optimization). Therefore, a tailored design of the DAPT workflow, including QA procedures, is required to ensure its safe clinical...