ESTRO 2024 - Abstract Book

S6017

RTT - Treatment planning, OAR and target definitions

ESTRO 2024

27. Bogue, J.; Wan, J.; Lavey, R.S.; Parsai, E.I. Dosimetric comparison of VMAT with integrated skin flash to 3D field ‐ in ‐ field tangents for left breast irradiation. Journal of applied clinical medical physics 2019, 20, 24-29, doi:10.1002/acm2.12527. 28. Fredriksson, A.; Engwall, E.; Andersson, B. Robust radiation therapy optimization using simulated treatment courses for handling deformable organ motion. Physics in medicine & biology 2021, 66, 045010-045010, doi:10.1088/1361-6560/abd591.

29. Sun, Z.; Ng, C. Finetuned Super-Resolution Generative Adversarial Network (Artificial Intelligence) Model for Calcium Deblooming in Coronary Computed Tomography Angiography. 2022, doi:10.3390/jpm12091354.

30. Sun, Z.; Ng, C.K.C. Artificial Intelligence (Enhanced Super-Resolution Generative Adversarial Network) for Calcium Deblooming in Coronary Computed Tomography Angiography: A Feasibility Study. Diagnostics (Basel) 2022, 12, 991, doi:10.3390/diagnostics12040991. 31. Sun, Z.; Ng, C.K.C.; Sá Dos Reis, C. Synchrotron radiation computed tomography versus conventional computed tomography for assessment of four types of stent grafts used for endovascular treatment of thoracic and abdominal aortic aneurysms. Quantitative imaging in medicine and surgery 2018, 8, 609-620, doi:10.21037/qims.2018.07.05. 32. Sun, Z.; Ng, C.K.C.; Wong, Y.H.; Yeong, C.H. 3D-Printed Coronary Plaques to Simulate High Calcification in the Coronary Arteries for Investigation of Blooming Artifacts. Biomolecules (Basel, Switzerland) 2021, 11, 1307, doi:10.3390/biom11091307. 33. Sun, Z.; Ng, C.K.C. Use of Synchrotron Radiation to Accurately Assess Cross-Sectional Area Reduction of the Aortic Branch Ostia Caused by Suprarenal Stent Wires. Journal of endovascular therapy 2017, 24, 870-879, doi:10.1177/1526602817732315.

2697

Digital Poster

Limbus Software: A Promising Approach for Efficient Contouring in Breast Cancer Treatment

Lucrezia Bernabucci 1 , Giuseppe Nicolì 1 , Rosa Autorino 1 , Mariangela Massaccesi 1 , Roberta Giannini 1 , Elisa Placidi 2 , Enrico Rosa 3 , Fabio Marazzi 4 , Valeria Masiello 4 , Stefania Manfrida 1 , Maria Antonietta Gambacorta 1 , Luca Indovina 2 , Nicola Dinapoli 1 1 Fondazione Policlinico Universitario A. Gemelli IRCCS, Radiotherapy, Rome, Italy. 2 Fondazione Policlinico Universitario A. Gemelli IRCCS, Medical Physics, Rome, Italy. 3 Università Cattolica del Sacro Cuore, Medical Physics, Rome, Italy. 4 Fondazione Policlinico Universitario A. Gemelli IRCCS, Radiochemotherapy DH, Rome, Italy

Purpose/Objective:

Precise delineation of structures within CT datasets is crucial in the planning of radiotherapy treatments. The current standard involves manual contouring, which can be time-consuming and subject to variations between different