Undergraduate medical education is increasingly competency-based, digital, and interprofessional in accordance with the National Competence-Based Learning Objectives Catalogue for Medicine (Nationaler Kompetenzbasierter Lernzielkatalog Medizin, NKLM). Against this background, a nationally relevant, consensus-based framework for undergraduate radiation therapy education in Germany was developed by an expert panel of faculty representatives, aligned with the competencies expected at the end of the practical year (PJ) and in the final state examination context (M3), and complemented by guidance on the responsible educational use of artificial intelligence (AI). The framework was prepared by the German Society of Radiation Oncology (Deutsche Gesellschaft für Radioonkologie, DEGRO) working group “Medical Education” (AG Lehre), including a consolidated master document and 16 teaching portfolios that informed 15 candidate competencies. In a second step, 25 formally delegated representatives from 22 of the 36 university radiation oncology departments in Germany participated in a structured expert consensus process incorporating individual prioritization, small-group refinement, plenary consolidation, predefined voting thresholds, and postworkshop editorial integration. The resulting framework comprised four components: (1) nine prioritized core competencies defining a national minimum standard at the PJ/M3 level; (2) implementation bandwidths (minimal, recommended, best practice) anchored in anonymized site-profile data; (3) a staged A/B/C assessment model aligned with the Miller pyramid; and (4) integrated AI guidance defining permitted use cases, nonnegotiable boundaries, AI literacy goals, and a practical educator-facing implementation logic. The tumor board was identified as a particularly suitable integrative teaching format. This white paper presents a nationally coordinated, competency-oriented framework for undergraduate radiation therapy education that combines a stable core with scalable local implementation options. By linking essential competencies, teaching bandwidths, staged assessment, and responsible AI guidance, greater consistency, coherence, and practical implementation of radiation therapy teaching across heterogeneous faculties is facilitated.

Background:: PET represents a valuable tool for glioma imaging. Besides amino acid tracers such as 18 F-FET, PET targeting the 18-kDa mitochondrial translocator-protein (TSPO) is of high interest for high-grade glioma (HGG) imaging due to its upregulation in HGG cells. 18 F-GE-180, a novel TSPO-ligand, has shown a high target-to-background contrast in HGG. We compared its uptake characteristics to dynamic 18 F-FET PET and contrast-enhanced MRI in patients with HGG.Methods: 20 patients with HGG (10 WHO grade III and IV each) at initial diagnosis (n= 8) or recurrence (n= 12) underwent 18 F-GE-180 PET, dynamic 18 F-FET PET, MRI of the brain, and TSPO-polymorphism analysis. The maximal tumor-to-background ratios (TBR max) and biological tumor volumes (BTV; SUV threshold: background-activity x 1.8) were evaluated in the 60-80 min (18 F-GE-180) and 20-40 min pi (18 F-FET) summation …

AimPET using amino acid tracers such as 18 F-FET represents a valuable tool for glioma imaging. Besides, PET targeting the 18-kDa mitochondrial translocator-protein (TSPO) is of high interest for high-grade glioma (HGG) imaging due to its upregulation in HGG cells. 18 F-GE-180, a novel third-generation TSPO-ligand, has shown a high target-to-background contrast in HGG. We therefore intra-individually compared its uptake characteristics to dynamic 18 F-FET PET and contrast-enhanced MRI in...

Lung cancer remains the leading cause of cancer-related mortality worldwide. Stage III non-small cell lung cancer (NSCLC) includes heterogeneous presentation of the disease including lymph node involvement and large tumour volumes with infiltration of the mediastinum, heart or spine. In the treatment of stage III NSCLC an interdisciplinary approach including radiotherapy is considered standard of care with acceptable toxicity and improved clinical outcome concerning local control. Furthermore, gross tumour volume (GTV) changes during definitive radiotherapy would allow for adaptive replanning which offers normal tissue sparing and dose escalation.