Advanced Systems in Radiotherapy
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 166
Special Issue Editors
Interests: imaging; machine learning; biostatistics; risk analysis; modelling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Radiotherapy has been used routinely for several decades as part of cancer treatment. Currently, about 60% of cancer patients undergo radiotherapy treatment. Due to the synergy of radiotherapy with other specialties, such as surgery, oncology, and the most modern and promising immunotherapy, this percentage is destined to grow in the near future.
Since radiotherapy is based on ionizing radiations, it is not free from side effects such as the destruction of healthy cells adjacent to the treated volume. Over time, various hardware and software techniques have been developed to minimize such damage.
A first attempt to avert this effect was the introduction of 3D conformal radiation therapy (3DCRT), where the medical physicist had to place and manually adjust the multileaves collimator (MLC) in order to fit the beam with respect to the target and the surroundings organs at risk (OARs).
This technique is used daily, but it delivers an undesired dose to OARs when concave- or irregular-shaped lesions are treated; therefore, a new approach has been developed. The basic idea is to target the tumor from different angles in order to focus the radiation on the lesion, but at the same time spare the OARs. Due to the complexity of the process, it is managed by algorithms that take into account the target dose prescription and OAR dose limits.
This method is called “inverse planning”, where the algorithm modulates beams in order to accomplish the target/OAR goals. The inverse planning can be achieved in several ways such as the step-and-shoot radiotherapy, intensity-modulated radiation therapy (IMRT) and, in the last decade, volumetric-modulated arc therapy (VMAT).
However, therapeutic plans computed by the means of these innovative software are based on fixed images of the patients and do not take into account the natural organ motion. For example, in the case of lung cancer, the non-controlled or poorly managed motion due to respiration could lead to an incomplete curative session. Contrarily, in the case of left-breast cancer, the left anterior descending (LAD) artery could receive a harmful dose.
Regarding this, an important challenge in recent years has been the attempt to minimize damage related to the patient's breathing for targets such as the lung and breast, as well as the organ motion for targets such as the prostate and liver.
In this Special Issue, we want to depict the most innovative techniques, as well as software/hardware methods applied in radiotherapy.
Dr. Rosario Megna
Dr. Marcello Serra
Guest Editors
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Keywords
- innovative techniques
- cancer treatment
- radiation therapy
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