Florian T. Gassert
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View article: Real-world clinical impact of three commercial AI algorithms on musculoskeletal radiography interpretation: A prospective crossover reader study
Real-world clinical impact of three commercial AI algorithms on musculoskeletal radiography interpretation: A prospective crossover reader study Open
In a real-world clinical setting, AI-assisted interpretation of musculoskeletal radiographs reduced reading time and increased diagnostic confidence without materially affecting diagnostic performance. These findings support AI assistance …
View article: Deformable image registration of dark‐field chest radiographs for functional lung assessment
Deformable image registration of dark‐field chest radiographs for functional lung assessment Open
Background Dark‐field radiography of the human chest has been demonstrated to have promising potential for the analysis of the lung microstructure and the diagnosis of respiratory diseases. However, most previous studies of dark‐field ches…
View article: AI-Enhanced 3D Gradient Echo MRI: A Radiation-Free Alternative to CT for Lung Nodule Detection and Lung-RADS Classification
AI-Enhanced 3D Gradient Echo MRI: A Radiation-Free Alternative to CT for Lung Nodule Detection and Lung-RADS Classification Open
Accelerated 3D gradient echo MRI showed high detection rates for pulmonary nodules with Lung-RADs scores and morphological assessments comparable to CT.
View article: Privacy-Preserving Generation of Structured Lymphoma Progression Reports from Cross-sectional Imaging: A Comparative Analysis of Llama 3.3 and Llama 4
Privacy-Preserving Generation of Structured Lymphoma Progression Reports from Cross-sectional Imaging: A Comparative Analysis of Llama 3.3 and Llama 4 Open
Efficient processing of radiology reports for monitoring disease progression is crucial in oncology. Although large language models (LLMs) show promise in extracting structured information from medical reports, privacy concerns limit their…
View article: Leveraging Large Language Models for Accurate AO Fracture Classification from CT Text Reports
Leveraging Large Language Models for Accurate AO Fracture Classification from CT Text Reports Open
Large language models (LLMs) have shown promising potential in analyzing complex textual data, including radiological reports. These models can assist clinicians, particularly those with limited experience, by integrating and presenting di…
Lung volume assessment for mean dark-field coefficient calculation using different determination methods Open
Background Accurate lung volume determination is crucial for reliable dark-field imaging. We compared different approaches for the determination of lung volume in mean dark-field coefficient calculation. Methods In this retrospective analy…
A deep learning model for classification of chondroid tumors on CT images Open
Background Differentiating chondroid tumors is crucial for proper patient management. This study aimed to develop a deep learning model (DLM) for classifying enchondromas, atypical cartilaginous tumors (ACT), and high-grade chondrosarcomas…
Dark-field chest radiography signal characteristics in inspiration and expiration in healthy and emphysematous subjects Open
Background Dark-field chest radiography is sensitive to the lung alveolar structure. We evaluated the change of dark-field signal between inspiration and expiration. Methods From 2018 to 2020, patients who underwent chest computed tomograp…
View article: Longitudinal assessment of changes in muscle composition using proton density fat fraction and T2* in patients with and without incidental vertebral compression fractures
Longitudinal assessment of changes in muscle composition using proton density fat fraction and T2* in patients with and without incidental vertebral compression fractures Open
Objective Chemical shift encoded-based water-fat separation magnetic resonance imaging (CSE-MRI) is an emerging noninvasive tool for the assessment of bone and muscle composition. This study aims to examine both the predictive value and th…
View article: Deformable Image Registration of Dark-Field Chest Radiographs for Local Lung Signal Change Assessment
Deformable Image Registration of Dark-Field Chest Radiographs for Local Lung Signal Change Assessment Open
Dark-field radiography of the human chest has been demonstrated to have promising potential for the analysis of the lung microstructure and the diagnosis of respiratory diseases. However, previous studies of dark-field chest radiographs ev…
View article: Comparison of dark-field chest radiography and CT for the assessment of COVID-19 pneumonia
Comparison of dark-field chest radiography and CT for the assessment of COVID-19 pneumonia Open
Background Dark-field chest radiography allows the assessment of the structural integrity of the alveoli by exploiting the wave properties of x-rays. Purpose To compare the qualitative and quantitative features of dark-field chest radiogra…
View article: CT-Derived Quantitative Image Features Predict Neoadjuvant Treatment Response in Adenocarcinoma of the Gastroesophageal Junction with High Accuracy
CT-Derived Quantitative Image Features Predict Neoadjuvant Treatment Response in Adenocarcinoma of the Gastroesophageal Junction with High Accuracy Open
Background: The purpose of this retrospective study was to evaluate the value of contrast-enhanced computed tomography (CE-CT) image features at baseline and after neoadjuvant chemotherapy in predicting histopathological response in patien…
View article: Leveraging large language models for accurate classification of liver lesions from MRI reports
Leveraging large language models for accurate classification of liver lesions from MRI reports Open
These findings highlight the feasibility of LLMs for text-based diagnostic support, particularly in resource-limited or high-volume clinical settings. While LLMs show promise in medical diagnostics, further validation through prospective s…
View article: Simulated low-dose dark-field radiography for detection of COVID-19 pneumonia
Simulated low-dose dark-field radiography for detection of COVID-19 pneumonia Open
Background Dark-field radiography has been proven to be a promising tool for the assessment of various lung diseases. Purpose To evaluate the potential of dose reduction in dark-field chest radiography for the detection of the Coronavirus …
Dark-field radiography for the detection of bone microstructure changes in osteoporotic human lumbar spine specimens Open
Background Dark-field radiography imaging exploits the wave character of x-rays to measure small-angle scattering on material interfaces, providing structural information with low radiation exposure. We explored the potential of dark-field…
View article: Influence of Medical Foreign Bodies on Dark-Field Chest Radiographs: First experiences
Influence of Medical Foreign Bodies on Dark-Field Chest Radiographs: First experiences Open
Objectives: Evaluating the effects and artifacts introduced by medical foreign bodies in clinical dark-field chest radiographs and assessing their influence on the evaluation of pulmonary tissue, compared to conventional radiographs. Mater…
View article: Association between hip muscle strength/function and hip cartilage defects in sub-elite football players with hip/groin pain
Association between hip muscle strength/function and hip cartilage defects in sub-elite football players with hip/groin pain Open
Overall, there were few associations between peak isometric hip muscle strength and overall hip cartilage defects. It is possible that other factors may have relevance in sub-elite football players. Additional studies are needed to support…
View article: Automated assessment of cardiac pathologies on cardiac MRI using T1-mapping and late gadolinium phase sensitive inversion recovery sequences with deep learning
Automated assessment of cardiac pathologies on cardiac MRI using T1-mapping and late gadolinium phase sensitive inversion recovery sequences with deep learning Open
Background A deep learning (DL) model that automatically detects cardiac pathologies on cardiac MRI may help streamline the diagnostic workflow. To develop a DL model to detect cardiac pathologies on cardiac MRI T1-mapping and late gadolin…
View article: Deep-learning-based image quality enhancement of CT-like MR imaging in patients with suspected traumatic shoulder injury
Deep-learning-based image quality enhancement of CT-like MR imaging in patients with suspected traumatic shoulder injury Open
Purpose To evaluate the diagnostic performance of CT-like MR images reconstructed with an algorithm combining compressed sense (CS) with deep learning (DL) in patients with suspected osseous shoulder injury compared to conventional CS-reco…
View article: Comparing <scp>CT</scp>‐Like Images Based on <scp>Ultra‐Short</scp> Echo Time and Gradient Echo <scp>T1‐Weighted MRI</scp> Sequences for the Assessment of Vertebral Disorders Using Histology and True <scp>CT</scp> as the Reference Standard
Comparing <span>CT</span>‐Like Images Based on <span>Ultra‐Short</span> Echo Time and Gradient Echo <span>T1‐Weighted MRI</span> Sequences for the Assessment of Vertebral Disorders Using Histology and True <span>CT</span> as the Reference Standard Open
Background Several magnetic resonance (MR) techniques have been suggested for radiation‐free imaging of osseous structures. Purpose To compare the diagnostic value of ultra‐short echo time and gradient echo T1‐weighted MRI for the assessme…
View article: Dark-field X-ray imaging for the assessment of osteoporosis in human lumbar spine specimens
Dark-field X-ray imaging for the assessment of osteoporosis in human lumbar spine specimens Open
Background: Dark-field imaging is a novel imaging modality that allows for the assessment of material interfaces by exploiting the wave character of x-ray. While it has been extensively studied in chest imaging, only little is known about …
View article: Dark-Field Chest Radiography Outperforms Conventional Chest Radiography for the Diagnosis and Staging of Pulmonary Emphysema
Dark-Field Chest Radiography Outperforms Conventional Chest Radiography for the Diagnosis and Staging of Pulmonary Emphysema Open
Objectives Dark-field chest radiography (dfCXR) has recently reached clinical trials. Here we compare dfCXR to conventional radiography for the detection and staging of pulmonary emphysema. Materials and Methods Subjects were included afte…
View article: Assessment of Inflation in a Human Cadaveric Lung with Dark-Field Chest Radiography
Assessment of Inflation in a Human Cadaveric Lung with Dark-Field Chest Radiography Open
Dark-field chest radiography signal intensity appeared to correlate with inflation status in a cadaveric lung.