Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Nathalie Lisa Albert"'
Autor:
Adrian Jun Zounek, Nathalie Lisa Albert, Adrien Holzgreve, Marcus Unterrainer, Julia Brosch-Lenz, Simon Lindner, Andreas Bollenbacher, Guido Boening, Rainer Rupprecht, Matthias Brendel, Louisa von Baumgarten, Joerg-Christian Tonn, Peter Bartenstein, Sibylle Ziegler, Lena Kaiser
Publikováno v:
Zeitschrift für Medizinische Physik, Vol 33, Iss 1, Pp 91-102 (2023)
Introduction: Large datasets are required to ensure reliable non-invasive glioma assessment with radiomics-based machine learning methods. This can often only be achieved by pooling images from different centers. Moreover, trained models should perfo
Externí odkaz:
https://doaj.org/article/a511eca412ca469481eb848eddd5a508
Autor:
Marcus Unterrainer, Viktoria Ruf, Katharina von Rohr, Bogdana Suchorska, Lena Maria Mittlmeier, Leonie Beyer, Matthias Brendel, Vera Wenter, Wolfgang G. Kunz, Peter Bartenstein, Jochen Herms, Maximilian Niyazi, Jörg C. Tonn, Nathalie Lisa Albert
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
ObjectiveThe mutation of the ‘telomerase reverse transcriptase gene promoter’ (TERTp) has been identified as an important factor for individual prognostication and tumorigenesis and will be implemented in upcoming glioma classifications. Uptake c
Externí odkaz:
https://doaj.org/article/e14ce199347c4824be1992ab5489c475
Autor:
Lena Vomacka, Marcus Unterrainer, Adrien Holzgreve, Erik Mille, Astrid Gosewisch, Julia Brosch, Sibylle Ziegler, Bogdana Suchorska, Friedrich-Wilhelm Kreth, Jörg-Christian Tonn, Peter Bartenstein, Nathalie Lisa Albert, Guido Böning
Publikováno v:
EJNMMI Research, Vol 8, Iss 1, Pp 1-13 (2018)
Abstract Background Glioma grading with dynamic 18F-FET PET (0–40 min p.i.) is typically performed by analysing the mean time-activity curve of the entire tumour or a suspicious area within a heterogeneous tumour. This work aimed to ensure a reader
Externí odkaz:
https://doaj.org/article/341225693fe7420e804a6c94370c393f
Autor:
Barbara Zollner, Ute Ganswindt, Cornelius Maihöfer, Stefanie Corradini, Nathalie Lisa Albert, Christian Schichor, Claus Belka, Maximilian Niyazi
Publikováno v:
Radiation Oncology, Vol 13, Iss 1, Pp 1-9 (2018)
Abstract Background The aim of the present study was to evaluate the influence of the applied safety margins of modern intensity-modulated radiotherapy (IMRT) in patients with high-grade meningiomas on local control and recurrence patterns. Methods T
Externí odkaz:
https://doaj.org/article/ee026e3cb11a4cd391ca7e1b7e968e54
Autor:
Lena Vomacka, Nathalie Lisa Albert, Simon Lindner, Marcus Unterrainer, Christoph Mahler, Matthias Brendel, Larissa Ermoschkin, Astrid Gosewisch, Anika Brunegraf, Christopher Buckley, Tania Kümpfel, Rainer Rupprecht, Sibylle Ziegler, Martin Kerschensteiner, Peter Bartenstein, Guido Böning
Publikováno v:
EJNMMI Research, Vol 7, Iss 1, Pp 1-9 (2017)
Abstract Background PET ligands targeting the translocator protein (TSPO) represent promising tools to visualise neuroinflammation. Here, we analysed parameters obtained in dynamic and static PET images using the novel TSPO ligand [18F]GE-180 in pati
Externí odkaz:
https://doaj.org/article/db828113d72641c18060f5b423acc3d1
Autor:
Andreas Zwergal, Lisa Günther, Matthias Brendel, Roswitha Beck, Simon Lindner, Guoming Xiong, Eva Eilles, Marcus Unterrainer, Nathalie Lisa Albert, Sandra Becker-Bense, Thomas Brandt, Sibylle Ziegler, Christian la Fougère, Marianne Dieterich, Peter Bartenstein
Publikováno v:
Frontiers in Neurology, Vol 8 (2017)
The functional relevance of reactive gliosis for recovery from acute unilateral vestibulopathy is unknown. In the present study, glial activation was visualized in vivo by [18F]GE180-PET in a rat model of unilateral labyrinthectomy (UL) and compared
Externí odkaz:
https://doaj.org/article/dc83bc58cbba48cd9fcd91e1a38e3426
Autor:
Adrian Jun Zounek, Nathalie Lisa Albert, Adrien Holzgreve, Marcus Unterrainer, Julia Brosch-Lenz, Simon Lindner, Andreas Bollenbacher, Guido Boening, Rainer Rupprecht, Matthias Brendel, Louisa von Baumgarten, Joerg-Christian Tonn, Peter Bartenstein, Sibylle Ziegler, Lena Kaiser
Background: Large datasets are required to ensure reliable non-invasive glioma assessment with radiomics-based machine learning methods. This can often only be achieved by pooling images from different centers. Moreover, trained models should perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fd0979faa148b96c2e96efa72393b9d
https://doi.org/10.21203/rs.3.rs-1795449/v1
https://doi.org/10.21203/rs.3.rs-1795449/v1
Autor:
Stefanie Quach, Adrien Holzgreve, Lena Kaiser, Marcus Unterrainer, Franziska J. Dekorsy, Debie V. Nelwan, Laura M. Bartos, Sabrina V. Kirchleitner, Jonathan Weller, Lorraine Weidner, Maximilian Niyazi, Viktoria C. Ruf, Jochen Herms, Sophia Stöcklein, Christian Wetzel, Markus J. Riemenschneider, Louisa von Baumgarten, Niklas Thon, Matthias Brendel, Rainer Rupprecht, Peter Bartenstein, Joerg-Christian Tonn, Nathalie Lisa Albert
Purpose Glioma patients, especially recurrent glioma, suffer from a poor prognosis. While advances to classify glioma on a molecular level improved prognostication at initial diagnosis, markers to prognosticate survival in the recurrent situation are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f3d06666c62a6c03af86d2035e1bb1f
https://doi.org/10.21203/rs.3.rs-1634866/v1
https://doi.org/10.21203/rs.3.rs-1634866/v1
Autor:
Marcus, Unterrainer, Viktoria, Ruf, Katharina, von Rohr, Bogdana, Suchorska, Lena Maria, Mittlmeier, Leonie, Beyer, Matthias, Brendel, Vera, Wenter, Wolfgang G, Kunz, Peter, Bartenstein, Jochen, Herms, Maximilian, Niyazi, Jörg C, Tonn, Nathalie Lisa, Albert
Publikováno v:
Frontiers in Oncology
Objective The mutation of the ‘telomerase reverse transcriptase gene promoter’ (TERTp) has been identified as an important factor for individual prognostication and tumorigenesis and will be implemented in upcoming glioma classifications. Uptake
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::06330997ff285f314dc34f5e071088a1
https://pubmed.ncbi.nlm.nih.gov/33996563
https://pubmed.ncbi.nlm.nih.gov/33996563