Smart nanomaterials in cancer theranostics: challenges and opportunities
Cancer is ranked as the second leading cause of death globally. Traditional cancer
therapies including chemotherapy are flawed, with off-target and on-target toxicities on the …
therapies including chemotherapy are flawed, with off-target and on-target toxicities on the …
Roadmap: proton therapy physics and biology
H Paganetti, C Beltran, S Both, L Dong… - Physics in Medicine …, 2021 - iopscience.iop.org
The treatment of cancer with proton radiation therapy was first suggested in 1946 followed
by the first treatments in the 1950s. As of 2020, almost 200 000 patients have been treated …
by the first treatments in the 1950s. As of 2020, almost 200 000 patients have been treated …
Medical physics challenges in clinical MR-guided radiotherapy
The integration of magnetic resonance imaging (MRI) for guidance in external beam
radiotherapy has faced significant research and development efforts in recent years. The …
radiotherapy has faced significant research and development efforts in recent years. The …
Development of nanotechnology-mediated precision radiotherapy for anti-metastasis and radioprotection
Radiotherapy (RT), including external beam RT and internal radiation therapy, uses high-
energy ionizing radiation to kill tumor cells. However, ionizing radiation inevitably damages …
energy ionizing radiation to kill tumor cells. However, ionizing radiation inevitably damages …
Radiation-induced kidney toxicity: molecular and cellular pathogenesis
R Klaus, M Niyazi, B Lange-Sperandio - Radiation oncology, 2021 - Springer
Radiation nephropathy (RN) is a kidney injury induced by ionizing radiation. In a clinical
setting, ionizing radiation is used in radiotherapy (RT). The use and the intensity of radiation …
setting, ionizing radiation is used in radiotherapy (RT). The use and the intensity of radiation …
[HTML][HTML] Deep learning: a review for the radiation oncologist
Introduction: Deep Learning (DL) is a machine learning technique that uses deep neural
networks to create a model. The application areas of deep learning in radiation oncology …
networks to create a model. The application areas of deep learning in radiation oncology …
MR-guided proton therapy: a review and a preview
A Hoffmann, B Oborn, M Moteabbed, S Yan… - Radiation …, 2020 - Springer
Background The targeting accuracy of proton therapy (PT) for moving soft-tissue tumours is
expected to greatly improve by real-time magnetic resonance imaging (MRI) guidance. The …
expected to greatly improve by real-time magnetic resonance imaging (MRI) guidance. The …
Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives
Over the last years, technological innovation in Radiotherapy (RT) led to the introduction of
Magnetic Resonance-guided RT (MRgRT) systems. Due to the higher soft tissue contrast …
Magnetic Resonance-guided RT (MRgRT) systems. Due to the higher soft tissue contrast …
1.5 T MR-guided and daily adapted SBRT for prostate cancer: feasibility, preliminary clinical tolerability, quality of life and patient-reported outcomes during treatment
F Alongi, M Rigo, V Figlia, F Cuccia, N Giaj-Levra… - Radiation …, 2020 - Springer
Abstract Background Unity Elekta is a unique magnetic resonance (MR)-linac that
conjugates a 1.5 Tesla MR unit with a 7 MV flattening filter free accelerator. A prospective …
conjugates a 1.5 Tesla MR unit with a 7 MV flattening filter free accelerator. A prospective …
The MOMENTUM study: an international registry for the evidence-based introduction of MR-guided adaptive therapy
SR de Mol van Otterloo, JP Christodouleas… - Frontiers in …, 2020 - frontiersin.org
Purpose: MR-guided Radiation Therapy (MRgRT) allows for high-precision radiotherapy
under real-time MR visualization. This enables margin reduction and subsequent dose …
under real-time MR visualization. This enables margin reduction and subsequent dose …