P
Pascal Baltzer
Researcher at Medical University of Vienna
Publications - 23
Citations - 314
Pascal Baltzer is an academic researcher from Medical University of Vienna. The author has contributed to research in topics: Magnetic resonance imaging & Mammography. The author has an hindex of 8, co-authored 23 publications receiving 211 citations.
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Journal ArticleDOI
Diffusion-Weighted Imaging With Apparent Diffusion Coefficient Mapping for Breast Cancer Detection as a Stand-Alone Parameter Comparison With Dynamic Contrast-Enhanced and Multiparametric Magnetic Resonance Imaging
Katja Pinker,Linda Moy,Elizabeth J. Sutton,Ritse M. Mann,Michael Weber,Sunitha B. Thakur,Maxine S. Jochelson,Zsuzsanna Bago-Horvath,Elizabeth A. Morris,Pascal Baltzer,Thomas H. Helbich +10 more
TL;DR: Dynamic contrast-enhanced MRI is most sensitive for breast cancer detection and thus still indispensable, and multiparametric MRI using DCE-MRI and DWI maintains a high sensitivity, increases specificity, and maximizes diagnostic accuracy, often preventing unnecessary breast biopsies.
Journal ArticleDOI
Clinical application of bilateral high temporal and spatial resolution dynamic contrast-enhanced magnetic resonance imaging of the breast at 7 T.
Katja Pinker,Wolfgang Bogner,Pascal Baltzer,S. Trattnig,Stephen B. Gruber,Oshaani Abeyakoon,Maria Bernathova,Olgica Zaric,Peter Dubsky,Zsuzsanna Bago-Horvath,Michael Weber,Doris Leithner,Thomas H. Helbich +12 more
TL;DR: Bilateral HR DCE-MRI of the breast at 7 T is feasible with excellent image quality in clinical practice and allows accurate breast cancer diagnosis and there was excellent inter-reader agreement for diagnosis and image quality parameters.
Journal ArticleDOI
Fat saturation in dynamic breast MRI at 3 Tesla: is the Dixon technique superior to spectral fat saturation? A visual grading characteristics study
Paola Clauser,Katja Pinker,Thomas H. Helbich,Panagiotis Kapetas,Maria Bernathova,Pascal Baltzer +5 more
TL;DR: The Dixon technique outperformed spectral fat suppression in all evaluated criteria and can improve breast MRI interpretation, and non-diagnostic examinations can be avoided by fat and water image reconstruction.
Journal ArticleDOI
AI-enhanced simultaneous multiparametric 18F-FDG PET/MRI for accurate breast cancer diagnosis
Valeria Romeo,Valeria Romeo,Paola Clauser,Sazan Rasul,Panagiotis Kapetas,Peter Gibbs,Pascal Baltzer,M Hacker,Ramona Woitek,Ramona Woitek,Thomas H. Helbich,Katja Pinker,Katja Pinker +12 more
TL;DR: In this article, a radiomics and machine learning (ML) model combining quantitative parameters and radiomics features extracted from simultaneous multiparametric 18F-FDG PET/MRI images can discriminate between benign and malignant breast lesions.
Journal ArticleDOI
Diffusion-weighted imaging of breast tumours at 3 Tesla and 7 Tesla: a comparison
S. Gruber,Lenka Minarikova,Katja Pinker,Olgica Zaric,Marek Chmelik,Bernhard Strasser,Pascal Baltzer,Thomas H. Helbich,Siegfried Trattnig,Wolfgang Bogner +9 more
TL;DR: 7-T DWI of the breast can be performed with 2.4-fold higher spatial resolution than 3-T, without significant differences in SNR if compared to 3 T, according to IRB-approved study.