@article{WernerWakabayashiBaueretal.2018,
  author    = {Werner, Rudolf and Wakabayashi, Hiroshi and Bauer, Jochen and Sch{\"u}tz, Claudia and Zechmeister, Christina and Hayakawa, Nobuyuki and Javadi, Mehrbod S. and Lapa, Constantin and Jahns, Roland and Erg{\"u}n, S{\"u}leyman and Jahns, Valerie and Higuchi, Takahiro},
  title     = {Longitudinal \(^{18}\)F-FDG PET imaging in a Rat Model of Autoimmune Myocarditis},
  series = {European Heart Journal Cardiovascular Imaging},
  journal   = {European Heart Journal Cardiovascular Imaging},
  issn      = {2047-2404},
  doi       = {10.1093/ehjci/jey119},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-165601},
  pages     = {1-8},
  year      = {2018},
  abstract  = {Aims: Although mortality rate is very high, diagnosis of acute myocarditis remains challenging with conventional tests. We aimed to elucidate the potential role of longitudinal 2-Deoxy-2-\(^{18}\)F-fluoro-D-glucose (\(^{18}\)F-FDG) positron emission tomography (PET) inflammation monitoring in a rat model of experimental autoimmune myocarditis. Methods and results: Autoimmune myocarditis was induced in Lewis rats by immunizing with porcine cardiac myosin emulsified in complete Freund's adjuvant. Time course of disease was assessed by longitudinal \(^{18}\)F-FDG PET imaging. A correlative analysis between in- and ex vivo \(^{18}\)F-FDG signalling and macrophage infiltration using CD68 staining was conducted. Finally, immunohistochemistry analysis of the cell-adhesion markers CD34 and CD44 was performed at different disease stages determined by longitudinal \(^{18}\)F-FDG PET imaging. After immunization, myocarditis rats revealed a temporal increase in 18F-FDG uptake (peaked at week 3), which was followed by a rapid decline thereafter. Localization of CD68 positive cells was well correlated with in vivo \(^{18}\)F-FDG PET signalling (R\(^2\) = 0.92) as well as with ex vivo 18F-FDG autoradiography (R\(^2\) = 0.9, P < 0.001, respectively). CD44 positivity was primarily observed at tissue samples obtained at acute phase (i.e. at peak 18F-FDG uptake), while CD34-positive staining areas were predominantly identified in samples harvested at both sub-acute and chronic phases (i.e. at \(^{18}\)F-FDG decrease). Conclusion: \(^{18}\)F-FDG PET imaging can provide non-invasive serial monitoring of cardiac inflammation in a rat model of acute myocarditis.},
  subject      = {Myokarditis},
  language  = {en}
}
@article{WernerBundschuhHiguchietal.2018,
  author    = {Werner, Rudolf A. and Bundschuh, Ralph A. and Higuchi, Takahiro and Javadi, Mehrbod S. and Rowe, Steven P. and Zs{\´o}t{\´e}r, Norbert and Kroiss, Matthias and Fassnacht, Martin and Buck, Andreas K. and Kreissl, Michael C. and Lapa, Constantin},
  title     = {Volumetric and Texture Analysis of Pretherapeutic \(^{18}\)F-FDG PET can Predict Overall Survival in Medullary Thyroid Cancer Patients Treated with Vandetanib},
  series = {Endocrine},
  journal   = {Endocrine},
  issn      = {1355-008X},
  doi       = {10.1007/s12020-018-1749-3},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-167910},
  year      = {2018},
  abstract  = {Purpose: The metabolically most active lesion in 2-deoxy-2-(\(^{18}\)F)fluoro-D-glucose (\(^{18}\)F-FDG) PET/CT can predict progression-free survival (PFS) in patients with medullary thyroid carcinoma (MTC) starting treatment with the tyrosine kinase inhibitor (TKI) vandetanib. However, this metric failed in overall survival (OS) prediction. In the present proof of concept study, we aimed to explore the prognostic value of intratumoral textural features (TF) as well as volumetric parameters (total lesion glycolysis, TLG) derived by pre-therapeutic \(^{18}\)F-FDG PET. Methods: Eighteen patients with progressive MTC underwent baseline \(^{18}\)F-FDG PET/CT prior to and 3 months after vandetanib initiation. By manual segmentation of the tumor burden at baseline and follow-up PET, intratumoral TF and TLG were computed. The ability of TLG, imaging-based TF, and clinical parameters (including age, tumor marker doubling times, prior therapies and RET (rearranged during transfection) mutational status) for prediction of both PFS and OS were evaluated. Results: The TF Complexity and the volumetric parameter TLG obtained at baseline prior to TKI initiation successfully differentiated between low- and high-risk patients. Complexity allocated 10/18 patients to the high-risk group with an OS of 3.3y (vs. low-risk group, OS=5.3y, 8/18, AUC=0.78, P=0.03). Baseline TLG designated 11/18 patients to the high-risk group (OS=3.5y vs. low-risk group, OS=5y, 7/18, AUC=0.83, P=0.005). The Hazard Ratio for cancer-related death was 6.1 for Complexity (TLG, 9.5). Among investigated clinical parameters, the age at initiation of TKI treatment reached significance for PFS prediction (P=0.02, OS, n.s.). Conclusions: The TF Complexity and the volumetric parameter TLG are both independent parameters for OS prediction.},
  subject      = {Positronen-Emissions-Tomografie},
  language  = {en}
}