7 results on '"Cyran, Clemens"'
Search Results
2. Personalisierte Diagnostik gastrointestinaler Tumoren
- Author
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Heiliger, Christian, Heinrich, Kathrin, Holdenrieder, Stefan, Cyran, Clemens, Jacob, Sven, and Angele, Martin
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- 2024
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3. Funktionelle und Molekulare Bildgebung – Aktueller Stand
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Cyran, Clemens C., Rist, Carsten, Paprottka, Philipp M., Ingrisch, Michael, Clevert, Dirk A., Haug, Alexander, Reiser, Maximilian F., and Nikolaou, Konstantin
- Published
- 2011
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4. Untersuchung myokardialer Kollateralgefäße mit Magnetresonanztomographie bei Patienten mit chronischem koronararteriellem Verschluss
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Cyran, Clemens
- Subjects
FOS: Medical and Health Sciences ,Cardiac MRI, myokardiale Kollateralisierung, Eingefäßerkrankung, Delay, Perfusion - Abstract
In dieser Arbeit wurde mit kardialer MRT Funktion, Perfusion und Vitalität bei 30 Patienten mit koronarer Herzkrankheit und chronischem Gefäßabbruch untersucht. Besonderes Augenmerk wurde auf die transmurale Infarktausdehnung (TID), die Ruheperfusion, die Perfusion unter Adenosin-induzierter Hyperämie sowie die systolische regionale Wandverdickung (RWT) in kollateralabhängigem und antegrad perfundiertem Myokard gelegt. Als neuer Parameter wurde die Verzögerung der Kontrastmittelankunft (Delay) in antegrad perfundiertem und kollateralisiertem Myokard untersucht. Zunächst wurden die Kollateralen koronarangiographisch nach ihrem Vorhandensein und ihrem Füllungsgrad eingeteilt. Hierzu wurde die etablierte koronarangiographische Klassifikation nach Rentrop verwendet. Es folgte die kardiale MRT, mit der myokardiale Funktion und Perfusion zunächst unter Adenosininduzierter Hyperämie und danach in Ruhe untersucht wurden. Zuletzt erfolgte die Untersuchung der Vitalität mittels der late enhancement Technik. Dabei wurde der Zusammenhang zwischen koronarangiographischem Kollateralisierungsgrad und kernspintomographisch bestimmter Perfusion und systolischer, regionaler Wandverdickung ebenso untersucht wie die myokardiale Funktion und Perfusion in Abhängigkeit von der transmuralen Infarktausdehnung (TID). Durch den Einsatz der first-pass Perfusion Technik und der Bestimmung der verzögerten Kontrastmittelanflutung (Delay) ist es möglich, kollateralisiertes Myokard zu identifizieren und von antegrad perfundiertem Myokard mit hoher Sensitivität und Spezifität abzugrenzen. Die Verzögerung der Kontrastmittelanflutung scheint dabei vom angiographisch erhobenen Füllungsgrad der Kollateralen beeinflusst zu sein, ist jedoch unabhängig vom Ausmaß der myokardialen Perfusion. Kollateralisiertes Myokard lässt sich folglich auch dann von antegrad perfundiertem Myokard unterscheiden, wenn die Perfusion sich in einem ähnlichen Bereich bewegt. Bei den Patienten mit einer transmuralen Infarktausdehnung 50% in kollateralisiertem Myokard blieben die Perfusionsparameter in Ruhe und unter Hyperämie sowie die regionale Wanddickenzunahme signifikant unter den Werten,die in antegrad perfundiertem Myokard gemessen wurden. Des Weiteren zeigte sich, dass Funktion und Perfusion in kollateralisiertem Myokard erhalten bleiben, wenn die transmurale Infarktausdehnung
- Published
- 2007
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5. Motivation and success factors in radiological research in Germany - results of a survey by the Methodology and Research Working Group of the German Radiological Society.
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Wegner F, Heinrichs H, Stahlmann K, Molwitz I, Keller-Yamamura S, Kloeckner R, Barkhausen J, Bäuerle T, Cyran CC, Dietzel M, Eisenblätter M, Hilger I, Jung C, Schick F, Kiessling F, and Bannas P
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Investigation of motivation and identification of success factors in radiology research in Germany.Using a German online survey (54 questions, period: 3.5 months), demographic aspects, intrinsic and extrinsic success characteristics, as well as personal and organizational success factors were surveyed based on a career success model. The survey results were reported descriptively. The correlations between success factors and success characteristics were examined using linear, binary-logistic, and multinomial regression models.176 people (164 academically active, 10 not academically active) answered the survey. Most participants (80%, 139/174) worked at a university hospital. 32% had privatdozent or professor as their highest academic title (56/173). The researchers' main motivation was intrinsic interest in research (55%, 89/163), followed by a desire to increase their own career opportunities (25%, 41/163). The following were identified as factors for intrinsic success: i) support from department management (estimate=β=0.26, p<0.001), ii) good work-life balance (β=0.37, p<0.001), and iii) the willingness to pursue science even after reaching the career goal (β=0.16, p<0.016). Relevant factors for extrinsic scientific success were mentoring, protected research time, and activities in professional societies.Researchers in German radiology are mainly intrinsically motivated. Factors known from the literature that determine intrinsic and extrinsic scientific success were confirmed in this study. Knowledge of these factors allows targeted systematic support and could thus increase scientific success in German radiology. · Main motivation for German radiology research is intrinsic interest, followed by career opportunities.. · Factors for intrinsic scientific success are good work-life balance and support by department management.. · Factors for extrinsic scientific success are mentoring, activities in professional societies, and protected research time.. · Wegner F, Heinrichs H, Stahlmann K et al. Motivation and success factors in radiological research in Germany - results of a survey by the Methodology and Research Working Group of the German Radiological Society. Fortschr Röntgenstr 2024; DOI 10.1055/a-2350-0023., Competing Interests: The authors declare that they have no conflict of interest., (Thieme. All rights reserved.)
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- 2024
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6. [Imaging of pancreatic neuroendocrine tumors].
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Berger F, Ingenerf M, Auernhammer CJ, Cyran C, Ebner R, Zacherl M, Ricke J, and Schmid-Tannwald C
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- Humans, Multimodal Imaging methods, Positron Emission Tomography Computed Tomography methods, Tomography, X-Ray Computed methods, Magnetic Resonance Imaging methods, Neuroendocrine Tumors diagnostic imaging, Neuroendocrine Tumors pathology, Neuroendocrine Tumors secondary, Pancreatic Neoplasms diagnostic imaging, Pancreatic Neoplasms pathology
- Abstract
Background: Neuroendocrine tumors of the pancreas have a broad biological spectrum. The treatment decision is based on an optimal diagnosis with regard to the local findings and possible locoregional and distant metastases. In addition to purely morphologic imaging procedures, functional parameters are playing an increasingly important role in imaging., Objectives: Prerequisites for optimal imaging of the pancreas, technical principles are provided, and the advantages and disadvantages of common cross-sectional imaging techniques as well as clinical indications for these special imaging methods are discussed., Materials and Methods: Guidelines, basic and review papers will be analyzed., Results: Neuroendocrine tumors of the pancreas have a broad imaging spectrum. Therefore, there is a need for multimodality imaging in which morphologic and functional techniques support each other. While positron emission tomography/computed tomography (PET/CT) can determine the presence of one or more lesions and its/their functional status of the tumor, magnetic resonance imaging (MRI) efficiently identifies the location, relationship to the main duct and the presence of liver metastases. CT allows a better vascular evaluation, even in the presence of anatomical variants as well as sensitive detection of lung metastases., Conclusions: Knowledge of the optimal combination of imaging modalities including clinical and histopathologic results and dedicated imaging techniques is essential to achieve an accurate diagnosis to optimize treatment decision-making and to assess therapy response., (© 2024. The Author(s), under exclusive licence to Springer Medizin Verlag GmbH, ein Teil von Springer Nature.)
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- 2024
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7. Identification of impactful imaging biomarker: Clinical applications for breast and prostate carcinoma.
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Bäuerle T, Dietzel M, Pinker K, Bonekamp D, Zhang KS, Schlemmer HP, Bannas P, Cyran CC, Eisenblätter M, Hilger I, Jung C, Schick F, Wegner F, and Kiessling F
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- Humans, Male, Artificial Intelligence, Biomarkers, Magnetic Resonance Imaging methods, Prostate diagnostic imaging, Prostate pathology, Female, Carcinoma, Nuclear Medicine, Prostatic Neoplasms diagnostic imaging, Prostatic Neoplasms pathology
- Abstract
Background: Imaging biomarkers are quantitative parameters from imaging modalities, which are collected noninvasively, allow conclusions about physiological and pathophysiological processes, and may consist of single (monoparametric) or multiple parameters (bi- or multiparametric)., Method: This review aims to present the state of the art for the quantification of multimodal and multiparametric imaging biomarkers. Here, the use of biomarkers using artificial intelligence will be addressed and the clinical application of imaging biomarkers in breast and prostate cancers will be explained. For the preparation of the review article, an extensive literature search was performed based on Pubmed, Web of Science and Google Scholar. The results were evaluated and discussed for consistency and generality., Results and Conclusion: Different imaging biomarkers (multiparametric) are quantified based on the use of complementary imaging modalities (multimodal) from radiology, nuclear medicine, or hybrid imaging. From these techniques, parameters are determined at the morphological (e. g., size), functional (e. g., vascularization or diffusion), metabolic (e. g., glucose metabolism), or molecular (e. g., expression of prostate specific membrane antigen, PSMA) level. The integration and weighting of imaging biomarkers are increasingly being performed with artificial intelligence, using machine learning algorithms. In this way, the clinical application of imaging biomarkers is increasing, as illustrated by the diagnosis of breast and prostate cancers., Key Points: · Imaging biomarkers are quantitative parameters to detect physiological and pathophysiological processes.. · Imaging biomarkers from multimodality and multiparametric imaging are integrated using artificial intelligence algorithms.. · Quantitative imaging parameters are a fundamental component of diagnostics for all tumor entities, such as for mammary and prostate carcinomas.., Citation Format: · Bäuerle T, Dietzel M, Pinker K et al. Identification of impactful imaging biomarker: Clinical applications for breast and prostate carcinoma. Fortschr Röntgenstr 2024; 196: 354 - 362., Competing Interests: The authors declare that they have no conflict of interest., (Thieme. All rights reserved.)
- Published
- 2024
- Full Text
- View/download PDF
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