Topic Editors

Prof. Dr. Yidong Yang
Department of Radiation Oncology, The First Affiliated Hospital of University of Science and Technology of China, Hefei 230026, China
Dr. Francesco Giuseppe Cordoni
Department of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano,77, 38123 Trento, Italy
Department of Radiation Physics, MD Anderson Cancer Center, Houston, TX 77030, USA

Innovations in Physics and Radiobiology Studies of Particle Therapy

Abstract submission deadline
30 June 2026
Manuscript submission deadline
31 August 2026
Viewed by
326

Topic Information

Dear Colleagues,

The physical properties of the charged particles used in radiation therapy, such as protons, helium, oxygen, and carbon ions, have been well characterized to show that these particles have superior dose distributions compared to photon-based treatments. However, particle therapy has inherent biological advantages that have not yet been fully capitalized upon. Biologically optimized charged particle treatments could expand the therapeutic index of radiation therapy by selectively placing areas of the beam with high biological effectiveness to enhance tumor cell kill and simultaneously spare normal tissues from harm. Moreover, experimental evidence indicates that particle therapy effectiveness can be further enhanced through cutting-edge treatment modalities or combination with other cancer therapies. Notably, intriguing data suggest that particle therapy increases the immune response, meaning that, combined with immunotherapy, particle therapy may work to suppress and/or control metastatic dissemination, offering “off-target” systemic effects. This Topic welcomes fundamental studies and translational research on topics related to new technologies, physics, and radiobiology in particle therapy. Articles related to cellular and molecular responses, DNA damage repair, tumor response, normal tissue response, relative biological effectiveness modeling, radiogenomics, radioimmunotherapy, spatially fractionated radiation therapy (SFRT), boron neutron capture therapy (BNCT), and ultrahigh-dose rate FLASH particle therapy are welcome. The aim is to provide an up-to-date overview of innovations in experimental techniques, computational methods, preclinical studies, clinical outcomes, biological effect modeling, biological dose optimization, and the development of novel data analysis tools (e.g., artificial intelligence-based ones) in particle therapy.

Prof. Dr. Yidong Yang
Dr. Francesco Giuseppe Cordoni
Dr. Fada Guan
Topic Editors

Keywords

  • particle therapy
  • radiation biology
  • relative biological effectiveness (RBE)
  • RBE modeling
  • DNA damage repair
  • biomarkers
  • radioimmunotherapy
  • FLASH
  • artificial intelligence
  • spatially fractionated radiation therapy

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Cancers
cancers
4.4 8.8 2009 19.1 Days CHF 2900 Submit
Radiation
radiation
- - 2021 23 Days CHF 1000 Submit
Tomography
tomography
2.2 3.5 2015 26.3 Days CHF 2400 Submit
Physics
physics
1.8 3.1 2019 37.8 Days CHF 1400 Submit
Quantum Beam Science
qubs
1.7 2.8 2017 31.8 Days CHF 1600 Submit

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Published Papers (1 paper)

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16 pages, 1389 KB  
Article
Development of a Computer Program for Determining the Dose of Laser Radiation (860 nm) Received by Tumor and Breast Tissue
by Vladimir Alexander Mikhaylov, Nadezhda Voltchenko, Dmitry Mikhailov, Vladimir Gladyshev and Evgene Sharandin
Cancers 2026, 18(3), 442; https://doi.org/10.3390/cancers18030442 - 29 Jan 2026
Abstract
Laser therapy (860–910 nm) has been used to treat cancer since 1988. A key challenge is determining the dose of laser radiation absorbed by the tumor. Attenuation coefficients of laser radiation were determined for different breast tissues at various tissue thicknesses and beam [...] Read more.
Laser therapy (860–910 nm) has been used to treat cancer since 1988. A key challenge is determining the dose of laser radiation absorbed by the tumor. Attenuation coefficients of laser radiation were determined for different breast tissues at various tissue thicknesses and beam angles. These results enable the development of a methodology for determining optimal irradiation modes by considering both the absorbed dose of laser radiation and objective examination data (ultrasound, mammography, CT, and MRI). Full article
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