Combination of lenvatinib and pembrolizumab is an effective treatment option for anaplastic and poorly differentiated thyroid carcinoma

C Dierks, J Seufert, K Aumann, J Ruf, C Klein, S Kiefer… - Thyroid, 2021 - liebertpub.com
Background: Anaplastic thyroid carcinoma (ATC) and metastatic poorly differentiated thyroid
carcinomas (PDTCs) are rare aggressive malignancies with poor overall survival (OS) …

[HTML][HTML] Radiomic features from PSMA PET for non-invasive intraprostatic tumor discrimination and characterization in patients with intermediate-and high-risk …

C Zamboglou, M Carles, T Fechter, S Kiefer… - Theranostics, 2019 - ncbi.nlm.nih.gov
Purpose: To evaluate the performance of radiomic features (RF) derived from PSMA PET for
intraprostatic tumor discrimination and non-invasive characterization of Gleason score (GS) …

[68Ga-] PSMA-11 PET/CT and multiparametric MRI for gross tumor volume delineation in a slice by slice analysis with whole mount histopathology as a reference …

AS Bettermann, C Zamboglou, S Kiefer, CA Jilg… - Radiotherapy and …, 2019 - Elsevier
[68Ga-]PSMA-11 PET/CT and multiparametric MRI for gross tumor volume delineation in a
slice by slice analysis with whole mount histopathology as a reference standard – …

Prognostic significance of Zinc finger E-box binding homeobox 1 (ZEB1) expression in cancer cells and cancer-associated fibroblasts in pancreatic head cancer

P Bronsert, I Kohler, S Timme, S Kiefer, M Werner… - Surgery, 2014 - Elsevier
Background Pancreatic ductal adenocarcinoma (PDAC) is characterized by an aggressive
biology and poor prognosis. Experimental evidence has suggested a role for the …

[HTML][HTML] Uncovering the invisible—prevalence, characteristics, and radiomics feature–based detection of visually undetectable intraprostatic tumor lesions in 68 …

…, C Gratzke, M Mix, J Ruf, S Kiefer… - European journal of …, 2021 - Springer
Introduction Primary prostate cancer (PCa) can be visualized on prostate-specific membrane
antigen positron emission tomography (PSMA-PET) with high accuracy. However, …

Intraprostatic tumor segmentation on PSMA PET images in patients with primary prostate cancer with a convolutional neural network

…, M Mix, J Ruf, TF Fassbender, S Kiefer… - Journal of Nuclear …, 2021 - Soc Nuclear Med
Accurate delineation of the intraprostatic gross tumor volume (GTV) is a prerequisite for
treatment approaches in patients with primary prostate cancer (PCa). Prostate-specific …

Validation of different PSMA-PET/CT-based contouring techniques for intraprostatic tumor definition using histopathology as standard of reference

…, F Schiller, T Fechter, M Carles, S Kiefer… - Radiotherapy and …, 2019 - Elsevier
Purpose Accurate definition of the intraprostatic gross tumor volume (GTV) is crucial for
diagnostic and therapeutic approaches in patients with primary prostate cancer (PCa). The …

[HTML][HTML] Comparison of Manual and Semi-Automatic [18F]PSMA-1007 PET Based Contouring Techniques for Intraprostatic Tumor Delineation in Patients With …

SKB Spohn, M Kramer, S Kiefer, P Bronsert… - Frontiers in …, 2020 - frontiersin.org
Purpose Accurate contouring of intraprostatic gross tumor volume (GTV) is pivotal for
successful delivery of focal therapies and for biopsy guidance in patients with primary prostate …

[HTML][HTML] Voxel-based comparison of [68Ga]Ga-RM2-PET/CT and [68Ga]Ga-PSMA-11-PET/CT with histopathology for diagnosis of primary prostate cancer

…, F Schiller, C Zamboglou, V Drendel, S Kiefer… - EJNMMI research, 2020 - Springer
… Vanessa Drendel & Selina KieferSelina Kiefer … Author Selina Kiefer declares that she
has no conflict of interest. Author Cordula A. Jilg declares that she has no conflict of interest. …

[HTML][HTML] Can Machine Learning Models Be a Suitable Tool for Predicting Central European Cold Winter Weather on Subseasonal to Seasonal Time Scales?

SM Kiefer, S Lerch, P Ludwig… - Artificial Intelligence for …, 2023 - journals.ametsoc.org
Skillful weather prediction on subseasonal to seasonal time scales is crucial for many
socioeconomic ventures. But forecasting, especially extremes, on these time scales is very …