Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Thomas, Sartoretti"'
Autor:
Ertunc Erdil, Anton S. Becker, Moritz Schwyzer, Borja Martinez-Tellez, Jonatan R. Ruiz, Thomas Sartoretti, H. Alberto Vargas, A. Irene Burger, Alin Chirindel, Damian Wild, Nicola Zamboni, Bart Deplancke, Vincent Gardeux, Claudia Irene Maushart, Matthias Johannes Betz, Christian Wolfrum, Ender Konukoglu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract The standard method for identifying active Brown Adipose Tissue (BAT) is [18F]-Fluorodeoxyglucose ([18F]-FDG) PET/CT imaging, which is costly and exposes patients to radiation, making it impractical for population studies. These issues can b
Externí odkaz:
https://doaj.org/article/c805cb8195b94f0d8b4205323cae48a9
Autor:
Cristina E. Popescu, Boya Zhang, Thomas Sartoretti, Noel Spielhofer, Stephan Skawran, Jakob Heimer, Michael Messerli, Alexander Sauter, Martin W. Huellner, Philipp A. Kaufmann, Irene A. Burger, Alexander Maurer
Publikováno v:
EJNMMI Research, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Background Liver uptake in [68Ga]Ga-PSMA-11 PET is used as an internal reference in addition to clinical parameters to select patients for [177Lu]Lu-PSMA-617 radioligand therapy (RLT). Due to increased demand, [68Ga]Ga-PSMA-11 was replaced b
Externí odkaz:
https://doaj.org/article/039c96dfbb3646bf87d3d697a0b39dae
Autor:
Alexander Maurer, Nathalie A. Gstrein, Florentia Dimitriou, Thomas Sartoretti, Jan A. Schaab, Esmée L. Looman, Panagiotis Balermpas, Niels J. Rupp, Sandra N. Freiberger, Michael B. Soyka, David Holzmann, Tina Mauthe, Simon A. Mueller, Stephan Beintner-Skawran, Michael Messerli, David Kenkel, Martin W. Huellner, Christian M. Meerwein
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The purpose of this retrospective study was to investigate response of sinonasal mucosal melanoma (SMM) patients to treatment with immune checkpoint inhibitors (ICI), using hybrid PET imaging. Fifteen SMM patients underwent hybrid PET imagin
Externí odkaz:
https://doaj.org/article/1d1284ddc7cd4abea9034f5e596f22a9
Autor:
Antonio G. Gennari, Alexia Rossi, Thomas Sartoretti, Alexander Maurer, Stephan Skawran, Valerie Treyer, Elisabeth Sartoretti, Alessandra Curioni-Fontecedro, Moritz Schwyzer, Stephan Waelti, Martin W. Huellner, Michael Messerli
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract This study aimed to evaluate the diagnostic accuracy of Node Reporting and Data System (Node-RADS) in discriminating between normal, reactive, and metastatic axillary LNs in patients with melanoma who underwent SARS-CoV-2 vaccination. Patien
Externí odkaz:
https://doaj.org/article/00da3790985641e48b6f7fd8c002f071
Autor:
Daniel Wehrli, Hans Gilljam, Dow Mu Koh, Simon Matoori, Thomas Sartoretti, Stefan Boes, Martin Hartmann, Katharina Roser, Alexander Ort, Philippe Wanner, Dorothee Harder, Rasmus Bech-Hohenberger, Johannes M. Froehlich, Georg Marcus Fröhlich, Jochen Mutschler, Tino Plümecke, Andreas Gutzeit
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2023)
BackgroundSwitzerland ranks among the top three healthcare systems in the world with regards to healthcare access, suggesting a high degree of health equity. However, Switzerland has few preventive strategies against smoking abuse. The aim of this st
Externí odkaz:
https://doaj.org/article/aaedfb845c8f48a6865b481f6b597620
Autor:
Hermann Krähling, Manfred Musigmann, Burak Han Akkurt, Thomas Sartoretti, Elisabeth Sartoretti, Dylan J. H. A. Henssen, Walter Stummer, Walter Heindel, Benjamin Brokinkel, Manoj Mannil
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract The aim of this study was to develop a magnetic resonance imaging (MRI) based radiomics model to predict mitosis cycles in intracranial meningioma grading prior to surgery. Preoperative contrast-enhanced T1-weighted (T1CE) cerebral MRI data
Externí odkaz:
https://doaj.org/article/cdae8275cd614a919c6c482dbebd16aa
Autor:
Elisabeth Sartoretti, Antonio G. Gennari, Alexander Maurer, Thomas Sartoretti, Stephan Skawran, Moritz Schwyzer, Alexia Rossi, Andreas A. Giannopoulos, Ronny R. Buechel, Catherine Gebhard, Martin W. Huellner, Michael Messerli
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-7 (2022)
Abstract Our aim was to identify and quantify high coronary artery calcium (CAC) with deep learning (DL)-powered CAC scoring (CACS) in oncological patients with known very high CAC (≥ 1000) undergoing 18F-FDG-PET/CT for re-/staging. 100 patients we
Externí odkaz:
https://doaj.org/article/ef24f38cfade47d8b4357aa94a2808a7
Autor:
Elisabeth Sartoretti, Thomas Sartoretti, Dow Mu Koh, Sabine Sartoretti-Schefer, Sebastian Kos, Romana Goette, Ricardo Donners, Robyn Benz, Johannes M. Froehlich, Simon Matoori, Peter Dubsky, Tino Plümecke, Rosemarie Forstner, Willibald Ruch, Matthias Meissnitzer, Klaus Hergan, Selina Largiader, Andreas Gutzeit
Publikováno v:
Cancer Imaging, Vol 22, Iss 1, Pp 1-8 (2022)
Abstract Background Breast cancer screening is essential in detecting breast tumors, however, the examination is stressful. In this study we analyzed whether humor enhances patient satisfaction. Methods In this prospective randomized study 226 patien
Externí odkaz:
https://doaj.org/article/2398c4a4725e407a86dc4e140546be9a
Autor:
Manfred Musigmann, Burak Han Akkurt, Hermann Krähling, Benjamin Brokinkel, Dylan J. H. A. Henssen, Thomas Sartoretti, Nabila Gala Nacul, Walter Stummer, Walter Heindel, Manoj Mannil
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Our aim is to predict possible gross total and subtotal resections of skull meningiomas from pre-treatment T1 post contrast MR-images using radiomics and machine learning in a representative patient cohort. We analyse the accuracy of our mod
Externí odkaz:
https://doaj.org/article/94d82d01cc5a40fdb40fc2e45ce43b48
Autor:
Manfred Musigmann, Burak Han Akkurt, Hermann Krähling, Nabila Gala Nacul, Luca Remonda, Thomas Sartoretti, Dylan Henssen, Benjamin Brokinkel, Walter Stummer, Walter Heindel, Manoj Mannil
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract To investigate the applicability and performance of automated machine learning (AutoML) for potential applications in diagnostic neuroradiology. In the medical sector, there is a rapidly growing demand for machine learning methods, but only
Externí odkaz:
https://doaj.org/article/014d1a2e113a4e72a34617b27b4daa18