https://doi.org/10.1140/epjs/s11734-025-01688-8
Regular Article
Computer-aided target volume delineation for postoperative radiation therapy in brain glioma patients with the use of the hybrid artificial intelligence model
1
Department of Radiotherapy, Medical University of Lublin, Lublin, Poland
2
Department of Brachytherapy, Lublin Cancer Center, Lublin, Poland
3
Department of Radiotherapy, Lublin Cancer Center, Lublin, Poland
4
Information Technology Systems Department, Jagiellonian University in Cracow, Kraków, Poland
5
Department of Medical Physics, Lublin Cancer Center, Lublin, Poland
6
Department of Neurosurgery, Medical University of Lublin, Lublin, Poland
7
Radiotherapy Planning Department, Copernicus Memorial Hospital in Łódź, Łódź, Poland
8
Department of Radiotherapy, Medical University of Łódź, Łódź, Poland
9
Department of External Beam Radiotherapy, Copernicus Memorial Hospital in Łódź, Łódź, Poland
a
mateusz.bilski@umlub.pl
b
janusz.jurek@uj.edu.pl
Received:
26
June
2024
Accepted:
12
May
2025
Published online:
13
June
2025
Radiotherapy is an important element of the multimodal treatment of gliomas. Proper target volume delineation after the surgery is essential. The goal of the research presented is to provide a computer application, which would automate the contouring process and reduce the burden required by radiation oncologists. Thanks to pre-made contours delivered by the application, radiation oncologists would only need to supervise, improve, and make necessary adjustments, rather than starting from scratch. The model of the application is described in the paper as well as its implementation and first experimental results. The application, called HAICS (hybrid artificial intelligence-based contouring system), uses machine learning tools combined with the authors’ contouring algorithm enabling user interaction. Additionally, syntactic pattern recognition methods can serve as a post-contouring enhancement.
© The Author(s) 2025
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