- Radiomics and Machine Learning in Medical Imaging
- Advanced X-ray and CT Imaging
- Medical Imaging Techniques and Applications
- Lung Cancer Diagnosis and Treatment
- Cardiac Imaging and Diagnostics
- Cardiovascular Disease and Adiposity
- Radiation Dose and Imaging
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Ultrasound in Clinical Applications
- Radiopharmaceutical Chemistry and Applications
- Cerebrospinal fluid and hydrocephalus
- Fetal and Pediatric Neurological Disorders
- Colorectal Cancer Treatments and Studies
- Thermal Regulation in Medicine
- Pancreatic and Hepatic Oncology Research
- Lymphoma Diagnosis and Treatment
- Respiratory Support and Mechanisms
- COVID-19 diagnosis using AI
University Medical Centre Mannheim
2021-2025
Heidelberg University
2021-2025
University Hospital Heidelberg
2021-2025
Medizinische Fakultät Mannheim
2025
Abstract Objectives Radiomics image data analysis offers promising approaches in research but has not been implemented clinical practice yet, partly due to the instability of many parameters. The aim this study is evaluate stability radiomics on phantom scans with photon-counting detector CT (PCCT). Methods Photon-counting organic phantoms consisting 4 apples, kiwis, limes, and onions each were performed at 10 mAs, 50 100 mAs 120-kV tube current. segmented semi-automatically original...
Abstract Feature stability and standardization remain challenges that impede the clinical implementation of radiomics. This study investigates potential spectral reconstructions from photon-counting computed tomography (PCCT) regarding organ-specific radiomics feature stability. Abdominal portal-venous phase PCCT scans 10 patients in virtual monoenergetic (VM) (keV 40–120 steps 10), polyenergetic, non-contrast (VNC), iodine maps were acquired. Two 2D 3D segmentations measuring 1 2 cm...
The implementation of radiomics-based, quantitative imaging parameters is hampered by a lack stability and standardization. Photon-counting computed tomography (PCCT), compared to energy-integrating (EICT), does rely on novel detector technology, promising better spatial resolution contrast-to-noise ratio. However, its effect radiomics feature properties unknown. This work investigates this topic in myocardial imaging. In retrospective, single-center IRB-approved study, the left ventricular...
(1) Background: Epicardial adipose tissue influences cardiac biology in physiological and pathological terms. As it is suspected to be linked coronary artery calcification, identifying improved methods of diagnostics for these patients important. The use radiomics the new Photon-Counting computed tomography (PCCT) may offer a feasible step toward patients. (2) Methods: In this retrospective single-centre study epicardial was segmented manually on axial unenhanced images. Patients were...
The need for effective early detection and optimal therapy monitoring of cardiovascular diseases as the leading cause death has led to an adaptation guidelines with a focus on cardiac computed tomography (CCTA) in patients low intermediate risk coronary heart disease (CHD). In particular, introduction photon-counting (PCCT) CT diagnostics promises significant advances through higher temporal spatial resolution, also enables advanced texture analysis, known radiomics analysis. Originally...
(1) Background: Tumoral heterogeneity (TH) is a major challenge in the treatment of metastatic colorectal cancer (mCRC) and associated with inferior response. Therefore, identification TH would be beneficial for planning. can assessed by identifying genetic alterations. In this work, radiomics-based approach assessment liver metastases (CRLM) CT scans demonstrated. (2) Methods: retrospective study, CRLM mCRC were segmented radiomics features extracted using pyradiomics. Unsupervised k-means...
The coronary artery calcium score is an independent risk factor of the development adverse cardiac events. severity calcification may influence myocardial texture. Due to higher spatial resolution and signal-to-noise ratio, new CT technologies such as PCCT improve detection texture alterations depending on calcification. In this retrospective, single-center, IRB-approved study, left ventricular myocardium was segmented radiomics features were extracted using pyradiomics. mean standard...
The goal of this study is to demonstrate the performance radiomics and CNN-based classifiers in determining primary origin gastrointestinal liver metastases for visually indistinguishable lesions.In retrospective, IRB-approved study, 31 pancreatic cancer patients with 861 lesions (median age [IQR]: 65.39 [56.87, 75.08], 48.4% male) 47 colorectal 435 65.79 [56.99, 74.62], 63.8% were enrolled. A pretrained nnU-Net performed automated segmentation 1296 lesions. Radiomics features each lesion...
Abstract Background Cardiovascular diseases remain the world’s primary cause of death. The identification and treatment patients at risk cardiovascular events thus are as important ever. Adipose tissue is a classic factor for diseases, has been linked to systemic inflammation, suspected contribute vascular calcification. To further investigate this issue, use texture analysis adipose using radiomics features could prove feasible option. Methods In retrospective single-center study, 55 (mean...
Background: Crossed cerebellar diaschisis (CCD) is a phenomenon with depressed metabolism and hypoperfusion in the cerebellum. Using arterial spin-labelling perfusion weighted magnetic resonance imaging (ASL PWI), we investigated frequency of CCD patients Alzheimer's disease (AD) differences between without CCD. Patients Methods: In AD who underwent standardized including ASL PWI cerebral blood flow was evaluated cerebellum, brain segmentation/volumetry performed using mdbrain (mediaire...
The clinical use of photon-counting CT (PCCT) allows for the generation virtual non-contrast (VNC) series from contrast-enhanced images. In routine practice, specific issues such as ruling out acute bleeding require aim this study is to evaluate PCCT-derived VNC reconstructions in abdominal imaging. PCCT scans 17 patients including early arterial, portal venous and native sequences were enrolled. have been calculated. every sequence reconstruction, 10 ROIs measured (portal vein, descending...
Purpose This study compares phantom-based variability of extracted radiomics features from scans on a photon counting CT (PCCT) and an experimental animal PET/CT-scanner (Albira II) to investigate the potential for translation models human scans. While oncological basic research in PET/CT has allowed intrinsic comparison between PET CT, but no 1:1 scanner due resolution noise limitations, Radiomics as statistical thus scale-independent method can potentially close critical gap. Methods Two...
Background The liver is a frequent location of metastatic disease in various malignant tumor entities. Computed tomography (CT) the most frequently employed modality for initial diagnosis. However, metastases may only be delineated vaguely on CT. Calculating radiomics features feature maps can unravel textures not visible to human eye standard CT reconstruction (SCTR). This study aimed investigate comparative diagnostic accuracy and SCTR metastases. Materials methods Forty-seven patients...
Abstract Background Quantification of pulmonary edema in patients with acute respiratory distress syndrome (ARDS) by chest computed tomography (CT) scan has not been validated routine diagnostics due to its complexity and time-consuming nature. Therefore, the single-indicator transpulmonary thermodilution (TPTD) technique measure extravascular lung water (EVLW) used clinical setting. Advances artificial intelligence (AI) have now enabled CT images inhomogeneous lungs be segmented...
Abstract Objectives Urolithiasis, a common and painful urological condition, is influenced by factors such as lifestyle, genetics, medication. Differentiating between different types of kidney stones crucial for personalized therapy. The purpose this study to investigate the use photon-counting computed tomography (PCCT) in combination with radiomics machine learning develop method automated detailed characterization stones. This approach aims enhance accuracy detail stone classification...
Severe courses and high hospitalization rates were ubiquitous during the first pandemic SARS-CoV-2 waves. Thus, we aimed to examine whether integrative diagnostics may aid in identifying vulnerable patients using crucial data materials obtained from COVID-19 hospitalized between 2020 2021 (n = 52). Accordingly, investigated potential of laboratory biomarkers, specifically dynamic cell decay marker cell-free DNA radiomics features extracted chest CT.Separate forward backward feature selection...
With personalized tumor therapy, understanding and addressing the heterogeneity of malignant tumors is becoming increasingly important. Heterogeneity can be found within one lesion (intralesional) between several lesions emerging from primary (interlesional). The heterogeneous cells may show a different response to treatment due their biology, which in turn influences outcome affected patients choice therapeutic agents. Therefore, both intra- interlesional should addressed at diagnostic...