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Carbon minibeam radiation therapy results in tumor growth delay in an osteosarcoma murine model
No full textDespite remarkable advances, radiation therapy (RT) remains inefficient for some bulky tumors, radioresistant tumors, and certain pediatric tumors. Minibeam radiation therapy (MBRT) has emerged as a promising approach, reducing normal tissue toxicity while enhancing immune responses. Preclinical studies using X-rays and proton MBRT have demonstrated enhanced therapeutic index for aggressive tumor models. Combining MBRT's advantages of spatial dose fractionation with the physical and biological benefits of carbon ions could be a step further toward unleashing the full potential of MBRT. This study aims to perform the first in vivo study of local and systemic responses of a subcutaneous mouse osteosarcoma (metastatic) model to carbon MBRT (C-MBRT) versus conventional carbon ion therapy (CT). Irradiations were conducted at the GSI Helmholtz Centre in Germany using 180 MeV/u 12C ions beam. All irradiated animals received an average dose (20 Gy) and displayed a significant and similar tumor growth delay in addition to a decreased metastasis score compared to the non-irradiated group. In the C-MBRT group, 70% of the tumor volume received the valley dose, which is a very low dose of 1.5 Gy. The remaining 30% of the tumor received the peak dose of 105 Gy, resulting in an average dose of 20 Gy. These results suggest that C-MBRT triggered distinct mechanisms from CT and encourage further investigations to confirm the potential of C-MBRT for efficient treatment of radioresistant tumors
Average-power scaling of in-band pumped, Tm-doped, fiber laser systems for high peak power pulsed operation
No full textQuantum Electrodynamics in Strong Electromagnetic Fields: Substate Resolved Transition Energies in Heliumlike Uranium
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Nuclear, Astro, and Particle Metadata Integration for eXperiments (NAPMIX)
No full textThe Nuclear, Astro, and Particle Metadata Integration for eXperiments (NAPMIX) project was recently awarded funding within the scope of the OSCARS call on open science and began work in December 2024.The project aims to facilitate data management and data publication under the FAIR principles for the NAP communities on the European level by developing a cross-domain metadata scheme, input mechanism for end users, and machine, and human readable outputs. A core component of the scheme is its nodal, multi-layered schema structure, allowing metadata enrichment from multiple domains, while establishing overlaps for enhanced versatility. This comprehensive approach supports the unification of data standards across various research institutions, promoting interoperability and collaboration on a European scale. Our efforts include the development of a user-friendly front end generator to facilitate metadata input and also allow users to specify field-specific attributes, customize generic names to suit their needs, and export schemas in various formats such as JSON and XML, adhering to different nomenclatures. In addition, API’s will be developed to enable automated metadata generation. The project involves RIs and ESFRIs, and leverages synergies from existing Open Science initiatives such as, ESCAPE, EURO-LABS, and PUNCH4NFDI. In this contribution, we will present an update on the first stages of the project
