Search

Your search keyword '"Burger, Irene"' showing total 1,021 results
Start Over Author "Burger, Irene"
1,021 results on '"Burger, Irene"'

12. Single-nucleus transcriptomics identifies separate classes of UCP1 and futile cycle adipocytes

Author

Wang, Tongtong, Sharma, Anand Kumar, Wu, Chunyan, Maushart, Claudia Irene, Ghosh, Adhideb, Yang, Wu, Stefanicka, Patrik, Kovanicova, Zuzana, Ukropec, Jozef, Zhang, Jing, Arnold, Myrtha, Klug, Manuel, De Bock, Katrien, Schneider, Ulrich, Popescu, Cristina, Zheng, Bo, Ding, Lianggong, Long, Fen, Dewal, Revati Sumukh, Moser, Caroline, Sun, Wenfei, Dong, Hua, Takes, Martin, Suelberg, Dominique, Mameghani, Alexander, Nocito, Antonio, Zech, Christoph Johannes, Chirindel, Alin, Wild, Damian, Burger, Irene A., Schön, Michael R., Dietrich, Arne, Gao, Min, Heine, Markus, Sun, Yizhi, Vargas-Castillo, Ariana, Søberg, Susanna, Scheele, Camilla, Balaz, Miroslav, Blüher, Matthias, Betz, Matthias Johannes, Spiegelman, Bruce M., and Wolfrum, Christian

Published
2024
Full Text
View/download PDF

16. Prostate Cancer

Author

Burger, Irene A., Ferraro, Daniela A., Friebe, Matthias, Popescu, Cristina E., Neri, Emanuele, editor, and Erba, Paola Anna, editor

Published
2023
Full Text
View/download PDF

18. European Association of Nuclear Medicine Focus 5: Consensus on Molecular Imaging and Theranostics in Prostate Cancer

Author

Oprea-Lager, Daniela-Elena, MacLennan, Steven, Bjartell, Anders, Briganti, Alberto, Burger, Irene A., de Jong, Igle, De Santis, Maria, Eberlein, Uta, Emmett, Louise, Fizazi, Karim, Gillessen, Silke, Herrmann, Ken, Heskamp, Sandra, Iagaru, Andrei, Jereczek-Fossa, Barbara Alicja, Kunikowska, Jolanta, Lam, Marnix, Nanni, Cristina, O'Sullivan, Joe M., Panebianco, Valeria, Sala, Evis, Sathekge, Mike, Sosnowski, Roman, Tilki, Derya, Tombal, Bertrand, Treglia, Giorgio, Tunariu, Nina, Walz, Jochen, Yakar, Derya, Dierckx, Rudi, Sartor, Oliver, and Fanti, Stefano

Published
2024
Full Text
View/download PDF

20. Combined forced diuresis and late acquisition on [68Ga]Ga-PSMA-11 PET/CT for biochemical recurrent prostate cancer: a clinical practice-oriented study

Author

Bauckneht, Matteo, Miceli, Alberto, Signori, Alessio, Albano, Domenico, Capitanio, Selene, Piva, Roberta, Laudicella, Riccardo, Franchini, Annalisa, D’Amico, Francesca, Riondato, Mattia, Chiola, Silvia, Marini, Cecilia, Fornarini, Giuseppe, Scarale, Antonio, Muni, Alfredo, Bertagna, Francesco, Burger, Irene A., Sambuceti, Gianmario, and Morbelli, Silvia

Published
2023
Full Text
View/download PDF

25. Immunohistochemical ERG positivity is associated with decreased PSMA expression and lower visibility in corresponding [68Ga]Ga-PSMA-11 PET scans of primary prostate cancer.

Author

Rupp, Niels J., Freiberger, Sandra N., Ferraro, Daniela A., Laudicella, Riccardo, Heimer, Jakob, Muehlematter, Urs J., Poyet, Cédric, Moch, Holger, Eberli, Daniel, Rüschoff, Jan H., and Burger, Irene A.

Subjects
PROSTATE-specific membrane antigen, GENE expression, POSITRON emission tomography, GENE fusion, RADICAL prostatectomy
Abstract

Purpose: TMPRSS2:ERG gene fusion negatively regulates PSMA expression in prostate adenocarcinoma (PCa) cell lines. Therefore, immunohistochemical (IHC) ERG expression, a surrogate for an underlying ERG rearrangement, and PSMA expression patterns in radical prostatectomy (RPE) specimens of primary PCa, including corresponding PSMA-PET scans were investigated. Methods: Two cohorts of RPE samples (total n=148): In cohort #1 (n=62 patients) with available RPE and preoperative [68Ga]Ga-PSMA-11 PET, WHO/ISUP grade groups, IHC-ERG (positive vs. negative) and IHC-PSMA expression (% PSMA-negative tumour area, PSMA%neg) were correlated with the corresponding SUVmax. In the second cohort #2 (n=86 patients) including RPE only, same histopathological parameters were evaluated. Results: Cohort #1: PCa with IHC-ERG expression (35.5%) showed significantly lower IHC-PSMA expression and lower SUVmax values on the corresponding PET scans. Eight of 9 PCa with negative PSMA-PET scans had IHC-ERG positivity, and confirmed TMPRSS2::ERG rearrangement. In IHC-PSMA positive PCa, IHC-ERG positivity was significantly associated with lower SUVmax values. In cohort #2, findings of higher IHC-PSMA%neg and IHC-ERG expression was confirmed with only 0-10% PSMA%neg tumour areas in IHC-ERG-negative PCa. Conclusion: IHC-ERG expression is significantly associated with more heterogeneous and lower IHC-PSMA tissue expression in two independent RPE cohorts. There is a strong association of ERG positivity in RPE tissue with lower [68Ga]Ga-PSMA-11 uptake on corresponding PET scans. Results may serve as a base for future biomarker development to enable tumour-tailored, individualized imaging approaches. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

33. Cardiac Amyloidosis

Author

Haaf, Philip, Burger, Irene A., Zellweger, Michael J., Garg, Pankaj, Popescu, Cristina E., and Caobelli, Federico, editor

Published
2021
Full Text
View/download PDF

40. Quantification of [99mTc]Tc-HDP bone SPECT/CT: can we improve the body weight based standardized uptake value with a more robust normalization?

Author

Tiberiu, Damian, Spielhofer, Noel, Heimer, Jakob, Sauter, Alexander W., Popescu, Cristina, Hausmann, Daniel, Manser, Jason L., Eid, Karim, Kubik-Huch, Rahel A., and Burger, Irene A.

Subjects
SINGLE-photon emission computed tomography, COMPUTED tomography, BODY weight, BONE measurement, DEPENDENT variables
Abstract

Background: The introduction of quantitative SPECT/CT allows more objective assessments of tracer accumulation in SPECT. However standardized uptake values (SUV) still do not play a big role for orthopedic or oncologic questions. With a more reliable normalization, the use of quantitative measures might also be of use for a more objective assessment of lesions. We retrospectively included patients that received a quantitative [99mTc]-HDP bone SPECT/CT scan of the lumbar spine for 4 body weight (BW) categories. Measurements of bone activity (kBq/cc) and bone density in Hounsfield Units (HU) in a standard volume of interest in the femur, the first and the fifth lumbar vertebra of all patients, without active disease within these regions was made. Correlations between tracer uptake and clinical parameters (BW, height, age, gender) were assessed with a multiple regression and based on the model coefficients, a correction formula was calculated and applied. Results: The strongest correlation between measured activity in L1 and patient parameters was found for BW (r= -0.64, p < 0.001), compared to height (r = -0.28, p = 0.002) and age (r = -0.34, p = 0.001). Furthermore, there was a weak positive correlation between tracer accumulation and bone density (r: 0.35, p < 0.001). Using standard normalization with BW there was a very weak positive correlation between SUVBW at L1 and BW with a slight overestimation in heavier subjects (r = 0.15, p = 0.09). The calculated correction based on the multiple regression of activity as dependent variable, and weight, age and bone density as significant predictors resulted in more robust uptake values with non-significant associations to BW, height, age or density. However, there was still a wide interindividual range of values for normalized bone activity. Conclusion: Using an age, bone density and weight-based normalization significantly decreased the interindividual variability of normal uptake on quantitative SPECT/CT compared to the regularly used BW adjusted SUVBW. However, a generalized normalization is difficult in the presence of strong patient effects, not attributable to the measured clinical variables. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

43. Diagnostic Accuracy of PET/CT and Contrast Enhanced CT in Patients With Suspected Infected Aortic Aneurysms

Author

Anagnostopoulos, A., Hasse (PI), B., Eberhard, N., Hoffmann, M., Husmann, L., Kopp, R., Ledergerber, B., Rancic, Z., Mestres, C.A., Zbinden, R., Zinkernagel, A., Husmann, Lars, Huellner, Martin W., Ledergerber, Bruno, Eberhard, Nadia, Kaelin, Marisa B., Anagnostopoulos, Alexia, Kudura, Ken, Burger, Irene A., Mestres, Carlos-A., Rancic, Zoran, and Hasse, Barbara

Published
2020
Full Text
View/download PDF

44. Association between vertebral bone mineral density, myocardial perfusion, and long-term cardiovascular outcomes: A sex-specific analysis

Author

Fiechter, Michael, Bengs, Susan, Roggo, Andrea, Haider, Achi, Marędziak, Monika, Portmann, Angela, Treyer, Valerie, Burger, Irene A., Messerli, Michael, Patriki, Dimitri, von Felten, Elia, Benz, Dominik C., Fuchs, Tobias A., Gräni, Christoph, Pazhenkottil, Aju P., Buechel, Ronny R., Kaufmann, Philipp A., and Gebhard, Catherine

Published
2020
Full Text
View/download PDF

47. European Association of Nuclear Medicine Focus 5: Consensus on Molecular Imaging and Theranostics in Prostate Cancer

Author

Researchgr. Nucleaire Geneeskunde, Cancer, Oprea-Lager, Daniela Elena, MacLennan, Steven, Bjartell, Anders, Briganti, Alberto, Burger, Irene A., de Jong, Igle, De Santis, Maria, Eberlein, Uta, Emmett, Louise, Fizazi, Karim, Gillessen, Silke, Herrmann, Ken, Heskamp, Sandra, Iagaru, Andrei, Jereczek-Fossa, Barbara Alicja, Kunikowska, Jolanta, Lam, Marnix, Nanni, Cristina, O'Sullivan, Joe M., Panebianco, Valeria, Sala, Evis, Sathekge, Mike, Sosnowski, Roman, Tilki, Derya, Tombal, Bertrand, Treglia, Giorgio, Tunariu, Nina, Walz, Jochen, Yakar, Derya, Dierckx, Rudi, Sartor, Oliver, Fanti, Stefano, Researchgr. Nucleaire Geneeskunde, Cancer, Oprea-Lager, Daniela Elena, MacLennan, Steven, Bjartell, Anders, Briganti, Alberto, Burger, Irene A., de Jong, Igle, De Santis, Maria, Eberlein, Uta, Emmett, Louise, Fizazi, Karim, Gillessen, Silke, Herrmann, Ken, Heskamp, Sandra, Iagaru, Andrei, Jereczek-Fossa, Barbara Alicja, Kunikowska, Jolanta, Lam, Marnix, Nanni, Cristina, O'Sullivan, Joe M., Panebianco, Valeria, Sala, Evis, Sathekge, Mike, Sosnowski, Roman, Tilki, Derya, Tombal, Bertrand, Treglia, Giorgio, Tunariu, Nina, Walz, Jochen, Yakar, Derya, Dierckx, Rudi, Sartor, Oliver, and Fanti, Stefano

Published
2024

48. Evaluating the biodistribution for [$^{68}$Ga]Ga-PSMA-11 and [$^{18}$F]F-PSMA-1007 PET/CT with an inter- and intrapatient based analysis

Author

Popescu, Cristina E; https://orcid.org/0000-0002-0350-7187, Zhang, Boya; https://orcid.org/0009-0001-5214-9080, Sartoretti, Thomas; https://orcid.org/0000-0002-4812-987X, Spielhofer, Noel, Skawran, Stephan; https://orcid.org/0000-0003-2721-9726, Heimer, Jakob; https://orcid.org/0000-0003-3499-8801, Messerli, Michael, Sauter, Alexander; https://orcid.org/0000-0002-6707-2258, Huellner, Martin W; https://orcid.org/0000-0002-4849-3292, Kaufmann, Philipp A; https://orcid.org/0000-0002-9451-5210, Burger, Irene A; https://orcid.org/0000-0001-8029-8692, Maurer, Alexander; https://orcid.org/0000-0002-6964-802X, Popescu, Cristina E; https://orcid.org/0000-0002-0350-7187, Zhang, Boya; https://orcid.org/0009-0001-5214-9080, Sartoretti, Thomas; https://orcid.org/0000-0002-4812-987X, Spielhofer, Noel, Skawran, Stephan; https://orcid.org/0000-0003-2721-9726, Heimer, Jakob; https://orcid.org/0000-0003-3499-8801, Messerli, Michael, Sauter, Alexander; https://orcid.org/0000-0002-6707-2258, Huellner, Martin W; https://orcid.org/0000-0002-4849-3292, Kaufmann, Philipp A; https://orcid.org/0000-0002-9451-5210, Burger, Irene A; https://orcid.org/0000-0001-8029-8692, and Maurer, Alexander; https://orcid.org/0000-0002-6964-802X

Abstract

BACKGROUND Liver uptake in [$^{68}$Ga]Ga-PSMA-11 PET is used as an internal reference in addition to clinical parameters to select patients for [$^{177}$Lu]Lu-PSMA-617 radioligand therapy (RLT). Due to increased demand, [$^{68}$Ga]Ga-PSMA-11 was replaced by [$^{18}$F]F-PSMA-1007, a more lipophilic tracer with different biodistribution and splenic uptake was suggested as a new internal reference. We compared the intra-patient tracer distribution between [$^{68}$Ga]Ga-PSMA-11 and [$^{18}$F]F-PSMA-1007. METHODS Fifty patients who underwent PET examinations in two centers with both [$^{18}$F]F-PSMA-1007 and [$^{68}$Ga]Ga-PSMA-11 within one year were included. Mean standardized uptake values (SUV$_{mean}$) were obtained for liver, spleen, salivary glands, blood pool, and bone. Primary tumor, local recurrence, lymph node, bone or visceral metastasis were also assessed for intra- and inter-individual comparison. RESULTS Liver SUV$_{mean}$ was significantly higher with [$^{18}$F]F-PSMA-1007 (11.7 ± 3.9) compared to [$^{68}$Ga]Ga-PSMA-11 (5.4 ± 1.7, p < .05) as well as splenic SUV$_{mean}$ (11.2 ± 3.5 vs.8.1 ± 3.5, p < .05). The blood pool was comparable between the two scans. Malignant lesions did not show higher SUV$_{mean}$ on [$^{18}$F]F-PSMA-1007. Intra-individual comparison of liver uptake between the two scans showed a linear association for liver uptake with SUV$_{mean}$ [$^{68}$Ga]Ga-PSMA-11 = 0.33 x SUV$_{mean}$ [$^{18}$F]F-PSMA-1007 + 1.52 (r = .78, p < .001). CONCLUSION Comparing biodistribution of [$^{68}$Ga]Ga and [$^{18}$F]F tracers, liver uptake on [$^{68}$Ga]Ga-PSMA-11 PET is the most robust internal reference value. Liver uptake of [$^{18}$F]F-PSMA-1007 was significantly higher, but so was the splenic uptake. The strong intra-individual association of hepatic accumulation between the two scans may allow using of a conversion factor for [$^{18}$F]F-PSMA-1007 as a basis for RLT selection.

Published
2024

49. Prognostic risk classification for biochemical relapse-free survival in patients with oligorecurrent prostate cancer after [68Ga]PSMA-PET-guided metastasis-directed therapy

Author

Vogel, Marco M. E., Kroeze, Stephanie G. C., Henkenberens, Christoph, Schmidt-Hegemann, Nina-Sophie, Kirste, Simon, Becker, Jessica, Burger, Irene A., Derlin, Thorsten, Bartenstein, Peter, Mix, Michael, la Fougère, Christian, Eiber, Matthias, Christiansen, Hans, Belka, Claus, Grosu, Anca L., Müller, Arndt-Christian, Guckenberger, Matthias, and Combs, Stephanie E.

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results