A5012449355- Radiation Therapy and Dosimetry
- Advanced Radiotherapy Techniques
- Advanced X-ray and CT Imaging
- Medical Imaging Techniques and Applications
- Nuclear Physics and Applications
- Radiation Detection and Scintillator Technologies
- Radiomics and Machine Learning in Medical Imaging
- Laser-Plasma Interactions and Diagnostics
- Radiation Dose and Imaging
- Lung Cancer Diagnosis and Treatment
- Head and Neck Cancer Studies
- Advanced MRI Techniques and Applications
- Atomic and Subatomic Physics Research
- MRI in cancer diagnosis
- Radiation Effects in Electronics
- Hepatocellular Carcinoma Treatment and Prognosis
- Trauma Management and Diagnosis
- AI in cancer detection
- Gastric Cancer Management and Outcomes
- Boron Compounds in Chemistry
- Laser-induced spectroscopy and plasma
- Abdominal Trauma and Injuries
- Prostate Cancer Diagnosis and Treatment
- High-pressure geophysics and materials
- Ultrasound in Clinical Applications
OncoRay
2016-2025
Technische Universität Dresden
2016-2025
German Cancer Research Center
2016-2025
Heidelberg University
2016-2025
Helmholtz-Zentrum Dresden-Rossendorf
2016-2025
University Hospital Carl Gustav Carus
2016-2025
Deutschen Konsortium für Translationale Krebsforschung
2014-2023
Bundeswehrkrankenhaus
2010-2023
University Hospital Heidelberg
2016-2022
Klinik und Poliklinik für Strahlentherapie und Radioonkologie
2022
The image biomarker standardisation initiative (IBSI) is an independent international collaboration which works towards standardising the extraction of biomarkers from acquired imaging for purpose high-throughput quantitative analysis (radiomics). Lack reproducibility and validation studies considered to be a major challenge field. Part this lies in scantiness consensus-based guidelines definitions process translating into biomarkers. IBSI therefore seeks provide nomenclature definitions,...
Image features need to be robust against differences in positioning, acquisition and segmentation ensure reproducibility. Radiomic models that only include can used analyse new images, whereas with non-robust may fail predict the outcome of interest accurately. Test-retest imaging is recommended assess robustness, but not available for phenotype interest. We therefore investigated 18 methods determine feature robustness based on image perturbations. perturbation were compared 4032 computed...
Radiomics applies machine learning algorithms to quantitative imaging data characterise the tumour phenotype and predict clinical outcome. For development of radiomics risk models, a variety different is available it not clear which one gives optimal results. Therefore, we assessed performance 11 combined with 12 feature selection methods by concordance index (C-Index), loco-regional control (LRC) overall survival for patients head neck squamous cell carcinoma. The considered are able deal...
Abstract Recent oncological studies identified beneficial properties of radiation applied at ultrahigh dose rates, several orders magnitude higher than the clinical standard order Gy min –1 . Sources capable providing these rates are under investigation. Here we show that a stable, compact laser-driven proton source with energies greater 60 MeV enables radiobiological in vivo studies. We performed pilot irradiation study on human tumours mouse model, showing concerted preparation mice and...
Cell shape and architecture are determined by cell-extracellular matrix interactions have profound effects on cellular behavior, chromatin condensation, tumor cell resistance to radiotherapy chemotherapy. To evaluate the role of condensation for radiation survival, cells grown in three-dimensional (3D) cultures as xenografts monolayer were compared. Here, we show that increased levels heterochromatin 3D characterized histone H3 deacetylation induced protein 1alpha expression result survival...
We report on the first irradiation of in vitro tumour cells with laser-accelerated proton pulses showing dose-dependent biological damage. This experiment, paving way for future radiobiological studies protons, demonstrates simultaneous availability all components indispensable systematic studies: a laser–plasma accelerator providing spectra maximum energy exceeding 15 MeV and applicable doses few Gy within minutes; beam transport filtering system; an in-air site; dosimetry system both...
Purpose: The use of laser accelerators in radiation therapy can perhaps increase the low number proton and ion facilities some years due to investment costs small size. laser‐based acceleration technology leads a very high peak dose rate about 10 11 Gy/s. A first dosimetric task is evaluation dependence clinical dosimeters other detectors. Methods: measurements were done at ELBE, superconductive linear electron accelerator which generates pulses with 5 ps length 20 M e V. different rates are...
To determine whether a standardized clinical application of dual-energy computed tomography (DECT) for proton treatment planning based on pseudomonoenergetic CT scans (MonoCTs) is feasible and increases the precision therapy in comparison with single-energy (SECT).To define an optimized DECT protocol, scan settings were analyzed experimentally concerning beam hardening, image quality, influence heuristic conversion numbers into stopping-power ratios (SPRs) compared SECT identical dose....
To quantifiy the range uncertainty in proton treatment planning using dual-energy computed tomography (DECT) for a direct stopping-power prediction (DirectSPR) algorithm and its clinical implementation.To assess overall ratio (SPR) of DirectSPR implementation calibrated different patient geometries, influencing factors were categorized imaging, modeling as well others. The respective SPR was quantified lung, soft tissue bone translated into several tumor types. amount healthy spared 250...
PURPOSE: To evaluate criteria for differentiating malignant versus reactive lymph nodes in the head and neck on basis of findings at helical computed tomography (CT). MATERIALS AND METHODS: Helical CT scans were evaluated 70 consecutive patients (46 men 24 women, aged 20-78 years [mean, 51 years]) with known tumors cervical node enlargement. The ratio maximal longitudinal to axial diameter (L/T) was calculated larger than 8 mm based measurements obtained from coronal, paraxial, sagittal...
Proton beams are a promising tool for the improvement of radiotherapy cancer, and compact laser-driven proton radiation (LDPR) is discussed as an alternative to established large-scale technology facilitating wider clinical use. Yet, use LDPR requires substantial development in reliable beam generation transport, but also dosimetric protocols well validation radiobiological studies. Here, we present first dose-controlled direct comparison effectiveness intense pulses from accelerator with...
To determine the accuracy of particle range prediction for proton and heavier ion radiation therapy based on dual-energy computed tomography (DECT) in a realistic inhomogeneous geometry to compare it with state-of-the-art clinical approach.A 3-dimensional ground-truth map stopping-power ratios (SPRs) was created an anthropomorphic head phantom by assigning measured SPR values segmented structures high-resolution CT scan. This reference validated independently comparing transmission...
Motion-induced uncertainties hamper the clinical implementation of pencil beam scanning proton therapy (PBS-PT). Prospective pretreatment evaluations only provide multiscenario predictions without giving a clear conclusion for actual treatment. Therefore, in this proof-of-concept study we present methodology fraction-wise retrospective four-dimensional (4D) dose reconstruction and accumulation aiming at evaluation treatment quality during after treatment.We implemented an easy-to-use,...
In proton therapy, patients benefit from the precise deposition of dose in tumor volume due to interaction charged particles with matter. Currently, determination beam range patient's body during treatment is not a clinical standard. This lack causes broad safety margins around tumor, which limits potential therapy. To overcome this obstacle, different methods are under investigation aiming at verification real time irradiation. One approach prompt gamma-ray timing (PGT) method, where...
Abstract For treatment individualisation of patients with locally advanced head and neck squamous cell carcinoma (HNSCC) treated primary radiochemotherapy, we explored the capabilities different deep learning approaches for predicting loco-regional tumour control (LRC) from treatment-planning computed tomography images. Based on multicentre cohorts exploration (206 patients) independent validation (85 patients), multiple strategies including training 3D- 2D-convolutional neural networks...
Uncertainty in computed tomography (CT)-based range prediction substantially impairs the accuracy of proton therapy. Direct determination stopping-power ratio (SPR) from dual-energy CT (DECT) has been proposed (DirectSPR), and initial validation studies phantoms biological tissues have proven a high accuracy. However, thorough patients not yet achieved by any means. Here, we present first systematic CT-based using prompt gamma imaging (PGI).A PGI slit camera system with improved positioning...
Background and purposeAnatomical changes may compromise the planned target coverage organs-at-risk dose in particle therapy. This study reports on practice patterns for adaptive therapy (APT) to evaluate current clinical wishes barriers further implementation.Materials methodsAn institutional questionnaire was distributed PT centres worldwide (7/2020–6/2021) asking which type of APT used, details workflow, what implementation were. Seventy from 17 countries participated. A three-round Delphi...