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20 results on '"Lohöfer, Fabian K."'

3. [18F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma

Author

Harder, Felix N., Jungmann, Friederike, Kaissis, Georgios A., Lohöfer, Fabian K., Ziegelmayer, Sebastian, Havel, Daniel, Quante, Michael, Reichert, Maximillian, Schmid, Roland M., Demir, Ihsan Ekin, Friess, Helmut, Wildgruber, Moritz, Siveke, Jens, Muckenhuber, Alexander, Steiger, Katja, Weichert, Wilko, Rauscher, Isabel, Eiber, Matthias, Makowski, Marcus R., and Braren, Rickmer F.

Published
2021
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4. Simultaneous quantification of Gadoxetic acid and Cisplatin in hepatocellular carcinomas using laser ablation-inductively coupled plasma-mass spectrometry

Author

Kronenberg, Katharina, primary, Werner, Julia, additional, Bohrer, Peter, additional, Steiger, Katja, additional, Buchholz, Rebecca, additional, von Bremen-Kühne, Maximilian, additional, Elinkmann, Matthias, additional, Paprottka, Philipp M, additional, Braren, Rickmer F, additional, Lohöfer, Fabian K, additional, and Karst, Uwe, additional

Published
2023
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6. High-Resolution, High b-Value Computed Diffusion-Weighted Imaging Improves Detection of Pancreatic Ductal Adenocarcinoma

Author

Harder, Felix N., primary, Jung, Eva, additional, McTavish, Sean, additional, Van, Anh Tu, additional, Weiss, Kilian, additional, Ziegelmayer, Sebastian, additional, Gawlitza, Joshua, additional, Gouder, Philip, additional, Kamal, Omar, additional, Makowski, Marcus R., additional, Lohöfer, Fabian K., additional, Karampinos, Dimitrios C., additional, and Braren, Rickmer F., additional

Published
2022
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7. Additional file 1 of [18F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma

Author

Harder, Felix N., Jungmann, Friederike, Kaissis, Georgios A., Lohöfer, Fabian K., Ziegelmayer, Sebastian, Havel, Daniel, Quante, Michael, Reichert, Maximillian, Schmid, Roland M., Demir, Ihsan Ekin, Friess, Helmut, Wildgruber, Moritz, Siveke, Jens, Muckenhuber, Alexander, Steiger, Katja, Weichert, Wilko, Rauscher, Isabel, Eiber, Matthias, Makowski, Marcus R., and Braren, Rickmer F.

Abstract

Additional file 1. The STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) flowchart is included in the supplementary material (A. 1).

Published
2021
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8. [¹⁸F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma

Author

Harder, Felix N., Jungmann, Friederike, Kaissis, Georgios A., Lohöfer, Fabian K., Ziegelmayer, Sebastian, Havel, Daniel, Quante, Michael, Reichert, Maximillian, Schmid, Roland M., Demir, Ihsan Ekin, Friess, Helmut, Wildgruber, Moritz, Siveke, Jens, Muckenhuber, Alexander, Steiger, Katja, Weichert, Wilko, Rauscher, Isabel, Eiber, Matthias, Makowski, Marcus R., and Braren, Rickmer F.

Subjects
Medizin
Abstract

Purpose: In this prospective exploratory study, we evaluated the feasibility of [¹⁸F]fluorodeoxyglucose ([¹⁸F]FDG) PET/MRI-based chemotherapy response prediction in pancreatic ductal adenocarcinoma at two weeks upon therapy onset. Material and methods: In a mixed cohort, seventeen patients treated with chemotherapy in neoadjuvant or palliative intent were enrolled. All patients were imaged by [¹⁸F]FDG PET/MRI before and two weeks after onset of chemotherapy. Response per RECIST1.1 was then assessed at 3 months [¹⁸F]FDG PET/MRI-derived parameters (MTV₅₀%, TLG₅₀%, MTV₂.₅, TLG₂.₅, SUVmₐₓ, SUVpₑₐk, ADCmₐₓ, ADCmₑₐn and ADCmin) were assessed, using multiple t-test, Man–Whitney-U test and Fisher’s exact test for binary features. Results: At 72 ± 43 days, twelve patients were classified as responders and five patients as non-responders. An increase in ∆MTV₅₀% and ∆ADC (≥ 20% and 15%, respectively) and a decrease in ∆TLG₅₀% (≤ 20%) at 2 weeks after chemotherapy onset enabled prediction of responders and non-responders, respectively. Parameter combinations (∆TLG₅₀% and ∆ADCmₐₓ or ∆MTV₅₀% and ∆ADCmₐₓ) further improved discrimination. Conclusion: Multiparametric [¹⁸F]FDG PET/MRI-derived parameters, in particular indicators of a change in tumor glycolysis and cellularity, may enable very early chemotherapy response prediction. Further prospective studies in larger patient cohorts are recommended to their clinical impact. CA Extern

Published
2021

9. [18F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma

Author

Harder, Felix N., Jungmann, Friederike, Kaissis, Georgios A., Lohöfer, Fabian K., Ziegelmayer, Sebastian, Havel, Daniel, Quante, Michael, Reichert, Maximillian, Schmid, Roland M., Demir, Ihsan Ekin, Friess, Helmut, Wildgruber, Moritz, Siveke, Jens, Muckenhuber, Alexander, Steiger, Katja, Weichert, Wilko, Rauscher, Isabel, Eiber, Matthias, Makowski, Marcus R., and Braren, Rickmer F.

Subjects
A multidisciplinary challenge, PDAC, PET/MRI, Chemotherapy, Response prediction [Original Research, Advanced targeted imaging and therapy in precision oncology], ddc
Published
2020

10. Prediction of Tumor Cellularity in Resectable PDAC from Preoperative Computed Tomography Imaging

Author

Jungmann, Friederike, primary, Kaissis, Georgios A., additional, Ziegelmayer, Sebastian, additional, Harder, Felix, additional, Schilling, Clara, additional, Yen, Hsi-Yu, additional, Steiger, Katja, additional, Weichert, Wilko, additional, Schirren, Rebekka, additional, Demir, Ishan Ekin, additional, Friess, Helmut, additional, Makowski, Markus R., additional, Braren, Rickmer F., additional, and Lohöfer, Fabian K., additional

Published
2021
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11. Intensive Care Risk Estimation in COVID-19 Pneumonia Based on Clinical and Imaging Parameters: Experiences from the Munich Cohort

Author

Burian, Egon, primary, Jungmann, Friederike, additional, Kaissis, Georgios A., additional, Lohöfer, Fabian K., additional, Spinner, Christoph D., additional, Lahmer, Tobias, additional, Treiber, Matthias, additional, Dommasch, Michael, additional, Schneider, Gerhard, additional, Geisler, Fabian, additional, Huber, Wolfgang, additional, Protzer, Ulrike, additional, Schmid, Roland M., additional, Schwaiger, Markus, additional, Makowski, Marcus R., additional, and Braren, Rickmer F., additional

Published
2020
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12. Multiparametric Modelling of Survival in Pancreatic Ductal Adenocarcinoma Using Clinical, Histomorphological, Genetic and Image-Derived Parameters

Author

Kaissis, Georgios A., primary, Jungmann, Friederike, additional, Ziegelmayer, Sebastian, additional, Lohöfer, Fabian K., additional, Harder, Felix N., additional, Schlitter, Anna Melissa, additional, Muckenhuber, Alexander, additional, Steiger, Katja, additional, Schirren, Rebekka, additional, Friess, Helmut, additional, Schmid, Roland, additional, Weichert, Wilko, additional, Makowski, Marcus R., additional, and Braren, Rickmer F., additional

Published
2020
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13. Image-Based Molecular Phenotyping of Pancreatic Ductal Adenocarcinoma

Author

Kaissis, Georgios A., primary, Ziegelmayer, Sebastian, additional, Lohöfer, Fabian K., additional, Harder, Felix N., additional, Jungmann, Friederike, additional, Sasse, Daniel, additional, Muckenhuber, Alexander, additional, Yen, Hsi-Yu, additional, Steiger, Katja, additional, Siveke, Jens, additional, Friess, Helmut, additional, Schmid, Roland, additional, Weichert, Wilko, additional, Makowski, Marcus R., additional, and Braren, Rickmer F., additional

Published
2020
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14. Combined DCE-MRI- and FDG-PET enable histopathological grading prediction in a rat model of hepatocellular carcinoma

Author

Kaissis, Georgios A., primary, Lohöfer, Fabian K., additional, Hörl, Marie, additional, Heid, Irina, additional, Steiger, Katja, additional, Munoz-Alvarez, Kim Agnes, additional, Schwaiger, Markus, additional, Rummeny, Ernst J., additional, Weichert, Wilko, additional, Paprottka, Philipp, additional, and Braren, Rickmer, additional

Published
2020
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15. Borderline-resectable pancreatic adenocarcinoma: Contour irregularity of the venous confluence in pre-operative computed tomography predicts histopathological infiltration

Author

Kaissis, Georgios A., Lohöfer, Fabian K., Ziegelmayer, Sebastian, Danner, Julia, Jäger, Carsten, Schirren, Rebekka, Ankerst, Donna, Ceyhan, Güralp O., Friess, Helmut, Rummeny, Ernst J., Weichert, Wilko, and Braren, Rickmer F.

Subjects
Clinical Oncology, Male, Adjuvant Chemotherapy, Cardiovascular Procedures, Science, Cancer Treatment, Surgical and Invasive Medical Procedures, Vascular Surgery, Sensitivity and Specificity, Veins, Pancreaticoduodenectomy, Cancer Chemotherapy, Drug Therapy, Radiologists, Medicine and Health Sciences, Chemotherapy, Humans, Medical Personnel, Portal Veins, Retrospective Studies, Surgical Resection, Pharmaceutics, Biology and Life Sciences, Tumor Resection, Pancreatic Neoplasms, Professions, Surgical Oncology, Oncology, People and Places, Cardiovascular Anatomy, Blood Vessels, Medicine, Population Groupings, Female, Anatomy, Clinical Medicine, Tomography, X-Ray Computed, Research Article, Carcinoma, Pancreatic Ductal
Abstract

PurposeThe purpose of the current study was to compare CT-signs of portal venous confluence infiltration for actual histopathological infiltration of the vein or the tumor/vein interface (TVI) in borderline resectable pancreatic ductal adenocarcinoma (PDAC).Methods and materials101 patients with therapy-naïve, primarily resected PDAC of the pancreatic head without arterial involvement were evaluated. The portal venous confluence was assessed for contour irregularity (defined as infiltration) and degree of contact. The sensitivity and specificity of contour irregularity versus tumor to vein contact >180° as well as the combination of the signs for tumor cell infiltration of the vessel wall or TVI was calculated. Overall survival (OS) was compared between groups.ResultsSensitivity and specificity of contour irregularity for identification of tumor infiltration of the portal venous confluence or the TVI was higher compared to tumor to vessel contact >180° for tumor cell infiltration (96%/79% vs. 91%/38% respectively, p180°/ both signs had significantly worse overall survival (16.2 vs. 26.5 months/ 17.9 vs. 37.4 months/ 18.5 vs. 26.5 months respectively, all pConclusionPortal venous confluence contour irregularity is a strong predictor of actual tumor cell infiltration of the vessel wall or the TVI and should be noted as such in radiological reports.

Published
2019

17. Acceleration of chemical shift encoding-based water fat MRI for liver proton density fat fraction and T2* mapping using compressed sensing

Author

Lohöfer, Fabian K., primary, Kaissis, Georgios A., additional, Müller-Leisse, Christina, additional, Franz, Daniela, additional, Katemann, Christoph, additional, Hock, Andreas, additional, Peeters, Johannes M., additional, Rummeny, Ernst J., additional, Karampinos, Dimitrios, additional, and Braren, Rickmer F., additional

Published
2019
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18. Camera-based respiratory triggering improves the image quality of 3D magnetic resonance cholangiopancreatography

Author

Harder, Felix, primary, Lohöfer, Fabian K., additional, Kaissis, Georgios A., additional, Zoellner, Christoph, additional, Kamal, Omar, additional, Katemann, Christoph, additional, Hock, Andreas, additional, Senegas, Julien, additional, Peeters, Johannes M., additional, Rummeny, Ernst J., additional, Karampinos, Dimitrios, additional, and Braren, Rickmer F., additional

Published
2019
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19. Magnetic resonance cholangiopancreatography at 3 Tesla: Image quality comparison between 3D compressed sensing and 2D single-shot acquisitions

Author

Lohöfer, Fabian K., primary, Kaissis, Georgios A., additional, Rasper, Michael, additional, Katemann, Christoph, additional, Hock, Andreas, additional, Peeters, Johannes M., additional, Schlag, Christoph, additional, Rummeny, Ernst J., additional, Karampinos, Dimitrios, additional, and Braren, Rickmer F., additional

Published
2019
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20. [18F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma.

Author

Harder, Felix N., Jungmann, Friederike, Kaissis, Georgios A., Lohöfer, Fabian K., Ziegelmayer, Sebastian, Havel, Daniel, Quante, Michael, Reichert, Maximillian, Schmid, Roland M., Demir, Ihsan Ekin, Friess, Helmut, Wildgruber, Moritz, Siveke, Jens, Muckenhuber, Alexander, Steiger, Katja, Weichert, Wilko, Rauscher, Isabel, Eiber, Matthias, Makowski, Marcus R., and Braren, Rickmer F.

Subjects
NEOADJUVANT chemotherapy, FISHER exact test, MAGNETIC resonance imaging, CANCER chemotherapy, ADENOCARCINOMA, CONTRAST-enhanced magnetic resonance imaging
Abstract

Purpose: In this prospective exploratory study, we evaluated the feasibility of [18F]fluorodeoxyglucose ([18F]FDG) PET/MRI-based chemotherapy response prediction in pancreatic ductal adenocarcinoma at two weeks upon therapy onset. Material and methods: In a mixed cohort, seventeen patients treated with chemotherapy in neoadjuvant or palliative intent were enrolled. All patients were imaged by [18F]FDG PET/MRI before and two weeks after onset of chemotherapy. Response per RECIST1.1 was then assessed at 3 months [18F]FDG PET/MRI-derived parameters (MTV50%, TLG50%, MTV2.5, TLG2.5, SUVmax, SUVpeak, ADCmax, ADCmean and ADCmin) were assessed, using multiple t-test, Man–Whitney-U test and Fisher's exact test for binary features. Results: At 72 ± 43 days, twelve patients were classified as responders and five patients as non-responders. An increase in ∆MTV50% and ∆ADC (≥ 20% and 15%, respectively) and a decrease in ∆TLG50% (≤ 20%) at 2 weeks after chemotherapy onset enabled prediction of responders and non-responders, respectively. Parameter combinations (∆TLG50% and ∆ADCmax or ∆MTV50% and ∆ADCmax) further improved discrimination. Conclusion: Multiparametric [18F]FDG PET/MRI-derived parameters, in particular indicators of a change in tumor glycolysis and cellularity, may enable very early chemotherapy response prediction. Further prospective studies in larger patient cohorts are recommended to their clinical impact. [ABSTRACT FROM AUTHOR]

Published
2021
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