Advances in Radiation Treatment for Brain Tumors
A special issue of Current Oncology (ISSN 1718-7729). This special issue belongs to the section "Neuro-Oncology".
Deadline for manuscript submissions: 15 December 2025 | Viewed by 44
Special Issue Editor
Special Issue Information
Dear Colleagues,
While significant technological advancements have become the norm in radiation oncology, these have not always been accompanied by observable improvement in patient outcomes and have required significant resource-intense approaches to clinical implementation and testing to justify rising costs. Areas of ongoing clinical need can be addressed in a multifactorial fashion via several critical need areas comprising: (1) biologically personalized treatment planning including integration of multi-omic data to tailor dose distribution to tumor biology and adjustment of treatment fields based on tumor response; (2) advanced AI driven automation for efficiency and precision including auto contouring, auto segmentation and AI based quality assurance; (3) the combination of AI with advanced treatment modalities including FLASH and heavy ion radiotherapy; (4) leveraging radiotherapy immune modulation and (5) actively focusing on big data and federated learning initiatives that incorporate radiation therapy dosimetry data and train AI algorithms across multiple institutions including large-scale AI models analyzing clinical, imaging and molecular data to improve prognostication and decision support.
Dr. Andra Krauze
Guest Editor
Manuscript Submission Information
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Keywords
- personalized treatment
- artificial intelligence
- automation
- segmentation
- adaptive treatment
- immune modulation
- fed-erated learning
- multi-omics
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