Florian Putz
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View article: Automated quality assurance of imaging dose and protocol adherence in computed tomography radiotherapy planning using TotalSegmentator-based segmentation
Automated quality assurance of imaging dose and protocol adherence in computed tomography radiotherapy planning using TotalSegmentator-based segmentation Open
Purpose Computed tomography (CT) scans are vital for radiotherapy planning, providing essential data for dose calculations. This study retrospectively evaluated imaging doses, scan lengths, and protocol adherence to support imaging optimiz…
View article: Radiation exposure facilities for radiobiology in Europe: availability, capabilities, and limitations
Radiation exposure facilities for radiobiology in Europe: availability, capabilities, and limitations Open
Experimental radiobiology studies rely on exposure platforms that replicate real-world scenarios, yet information on their availability and biological suitability is often fragmented. We thus aimed to map capabilities, access routes, and l…
View article: Seizures in children and adolescents with high-grade glioma: a retrospective, monocentric analysis
Seizures in children and adolescents with high-grade glioma: a retrospective, monocentric analysis Open
Present data show a high incidence of seizures in pHGG associated with supratentorial but also infratentorial location. The pediatric incidence was comparable to that in adults. The majority of the children developed repetitive seizures.
View article: From essential basic understanding to clinical application – biological, physical and pathophysiological principles of (low-dose) radiotherapy in benign diseases
From essential basic understanding to clinical application – biological, physical and pathophysiological principles of (low-dose) radiotherapy in benign diseases Open
Low dose radiotherapy (LDRT) is a radiation technique in the treatment of benign conditions to relieve symptoms and improve mobility and pain with minimal overall side effects. There are many reports describing the use of LDRT in the treat…
View article: Surface-guided breathing signal integration in breathing-adapted intelligent 4D computed tomography: prototype implementation and comparison with an infrared marker-based system
Surface-guided breathing signal integration in breathing-adapted intelligent 4D computed tomography: prototype implementation and comparison with an infrared marker-based system Open
These findings support SGRT as a clinically viable non-contact alternative to IR tracking in i4DCT, especially when combined with motion correction and predictive modeling.
View article: Automated radiotherapy planning for volumetric modulated arc therapy in lung cancer
Automated radiotherapy planning for volumetric modulated arc therapy in lung cancer Open
Background Volumetric‐modulated arc therapy (VMAT) treatment planning balances the need for adequate coverage of the planning target volume (PTV) and the sparing of organs‐at‐risk (OARs). However, this time‐consuming iterative process is i…
View article: Benchmarking GPT-5 in Radiation Oncology: Measurable Gains, but Persistent Need for Expert Oversight
Benchmarking GPT-5 in Radiation Oncology: Measurable Gains, but Persistent Need for Expert Oversight Open
Introduction: Large language models (LLM) have shown great potential in clinical decision support. GPT-5 is a novel LLM system that has been specifically marketed towards oncology use. Methods: Performance was assessed using two complement…
View article: Artificial intelligence as treatment support in breast cancer: current perspectives
Artificial intelligence as treatment support in breast cancer: current perspectives Open
With the increasing amount of information related to breast cancer (BC) management, artificial intelligence (AI) has emerged as a tool with the potential to enhance the quality of treatment through the efficient integration of large datase…
View article: Chemoradiation-Altered Micromilieu of Glioblastoma Cells Particularly Impacts M1-like Macrophage Activation
Chemoradiation-Altered Micromilieu of Glioblastoma Cells Particularly Impacts M1-like Macrophage Activation Open
Glioblastoma is a highly aggressive brain tumor with an overall poor prognosis due to its immunosuppressive tumor microenvironment (TME). Microglia and tumor-associated macrophages (TAMs) with pro-tumorigenic properties are dominant popula…
View article: Advancing offline magnetic resonance-guided prostate radiotherapy through dedicated imaging and deep learning-based automatic contouring of targets and neurovascular structures
Advancing offline magnetic resonance-guided prostate radiotherapy through dedicated imaging and deep learning-based automatic contouring of targets and neurovascular structures Open
Combining high-resolution MRI simulation with DL postprocessing enables accurate auto-contouring for MR-guided SBRT planning, potentially advancing neurovascular-sparing radiotherapy beyond current standards.
View article: Chemoradiation-Altered Micromilieu of Glioblastoma Cells Particularly Impacts M1-Like Macrophage Activation
Chemoradiation-Altered Micromilieu of Glioblastoma Cells Particularly Impacts M1-Like Macrophage Activation Open
Glioblastoma multiforme (GBM) is a highly aggressive brain tumor with an overall poor prognosis due to its immunosuppressive tumor microenvironment (TME). Microglia and tumor-associated macrophages (TAMs) with pro-tumorigenic properties ar…
View article: Balancing barriers: Family, career, and gender equality in radiation oncology and radiation research—An interdisciplinary prospective survey among the young workforce
Balancing barriers: Family, career, and gender equality in radiation oncology and radiation research—An interdisciplinary prospective survey among the young workforce Open
Purpose There is an urgent need to recruit and retain young professionals in radiation oncology and radiation research as the healthcare system faces major challenges. Our study investigated the experiences and needs of young professionals…
View article: Contouring in transition: perceptions of AI-based autocontouring by radiation oncologists and medical physicists in German-speaking countries
Contouring in transition: perceptions of AI-based autocontouring by radiation oncologists and medical physicists in German-speaking countries Open
Background Artificial intelligence (AI)-based autocontouring software has the potential to revolutionize radiotherapy planning. In recent years, several AI-based autocontouring solutions with many advantages have emerged; however, their cl…
View article: Comparative Evaluation of a Medical Large Language Model in Answering Real-World Radiation Oncology Questions: Multicenter Observational Study
Comparative Evaluation of a Medical Large Language Model in Answering Real-World Radiation Oncology Questions: Multicenter Observational Study Open
Background Large language models (LLMs) hold promise for supporting clinical tasks, particularly in data-driven and technical disciplines such as radiation oncology. While prior evaluation studies have focused on examination-style settings…
View article: MRI distortion correction is associated with improved local control in stereotactic radiotherapy for brain metastases
MRI distortion correction is associated with improved local control in stereotactic radiotherapy for brain metastases Open
Distortions in brain MRI caused by gradient nonlinearities may reach several millimeters, thus distortion correction is strongly recommended for radiotherapy treatment planning. However, the significance of MRI distortion correction on act…
View article: Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology
Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology Open
Introduction Generating physician letters is a time-consuming task in daily clinical practice. Methods This study investigates local fine-tuning of large language models (LLMs), specifically LLaMA models, for physician letter generation in…
View article: Pulmonary Stereotactic Body Radiation Therapy of Oligometastatic Head-and-Neck Squamous Cell Carcinoma: A Multicenter Retrospective Study
Pulmonary Stereotactic Body Radiation Therapy of Oligometastatic Head-and-Neck Squamous Cell Carcinoma: A Multicenter Retrospective Study Open
SBRT for pulmonary metastases achieves excellent local control with minimal toxicity in patients with oligometastatic HNSCC. Prospective trials are needed to determine the optimal timing for integrating SBRT with systemic treatment.
View article: Comparative Evaluation of a Medical Large Language Model in Answering Real-World Radiation Oncology Questions: Multicenter Observational Study (Preprint)
Comparative Evaluation of a Medical Large Language Model in Answering Real-World Radiation Oncology Questions: Multicenter Observational Study (Preprint) Open
BACKGROUND Large language models (LLMs) hold promise for supporting clinical tasks, particularly in data-driven and technical disciplines such as radiation oncology. While prior evaluation studies have focused on examination-style setting…
View article: Assessing the practice of total neoadjuvant therapy for rectal cancer: an online survey among radiation oncology departments in Germany and German-speaking regions of Austria and Switzerland
Assessing the practice of total neoadjuvant therapy for rectal cancer: an online survey among radiation oncology departments in Germany and German-speaking regions of Austria and Switzerland Open
Total neoadjuvant therapy (TNT) of rectal cancer improves rates of pathological complete remission and progression-free survival. With improved clinical response rates, interest grew in a non-operative approach/watch and wait (WaW) for thi…
View article: Impact of Cancer Localization on Symptom Burden and Quality of Life in Head and Neck Cancers: A Comparative Study
Impact of Cancer Localization on Symptom Burden and Quality of Life in Head and Neck Cancers: A Comparative Study Open
Background: Head and neck cancer (HNC) is a critical concern in oncology, with notable disparities in survival rates. While the long-term symptom burden in HNC survivors and its impact on quality of life (QoL) has been explored, there is l…
View article: Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data
Task-Specific Data Preparation for Deep Learning to Reconstruct Structures of Interest from Severely Truncated CBCT Data Open
Cone-beam computed tomography (CBCT) is widely used in interventional surgeries and radiation oncology. Due to the limited size of flat-panel detectors, anatomical structures might be missing outside the limited field-of-view (FOV), which …
View article: Outcomes of I-125 Low-Dose-Rate Brachytherapy in Patients with Localized Prostate Cancer: A Comprehensive Analysis from a Specialized Tertiary Referral Center
Outcomes of I-125 Low-Dose-Rate Brachytherapy in Patients with Localized Prostate Cancer: A Comprehensive Analysis from a Specialized Tertiary Referral Center Open
Low-dose-rate (LDR) brachytherapy with I-125 seeds is one of the most common primary tumor treatments for low-risk and low-intermediate-risk prostate cancer. This report aimed to present an analysis of single-institution long-term results.…
View article: Fine-Tuning a Local LLaMA-3 Large Language Model for Automated Privacy-Preserving Physician Letter Generation in Radiation Oncology
Fine-Tuning a Local LLaMA-3 Large Language Model for Automated Privacy-Preserving Physician Letter Generation in Radiation Oncology Open
Generating physician letters is a time-consuming task in daily clinical practice. This study investigates local fine-tuning of large language models (LLMs), specifically LLaMA models, for physician letter generation in a privacy-preserving…
View article: Principles of artificial intelligence in radiooncology
Principles of artificial intelligence in radiooncology Open
Purpose In the rapidly expanding field of artificial intelligence (AI) there is a wealth of literature detailing the myriad applications of AI, particularly in the realm of deep learning. However, a review that elucidates the technical pri…