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121 results

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Machine learning-based differentiation between multiple sclerosis and glioma WHO II°-IV° using O-(2-[18F] fluoroethyl)-L-tyrosine positron emission tomography.
Kebir S, Rauschenbach L, Weber M, Lazaridis L, Schmidt T, Keyvani K, Schäfer N, Milia A, Umutlu L, Pierscianek D, Stuschke M, Forsting M, Sure U, Kleinschnitz C, Antoch G, Colletti PM, Rubello D, Herrmann K, Herrlinger U, Scheffler B, Bundschuh RA, Glas M. Kebir S, et al. Among authors: bundschuh ra. J Neurooncol. 2021 Apr;152(2):325-332. doi: 10.1007/s11060-021-03701-1. Epub 2021 Jan 27. J Neurooncol. 2021. PMID: 33502678
18F-fluoroethyl-L-tyrosine positron emission tomography for the differential diagnosis of tumefactive multiple sclerosis versus glioma: A case report.
Kebir S, Gaertner FC, Mueller M, Nelles M, Simon M, Schäfer N, Stuplich M, Schaub C, Niessen M, Mack F, Bundschuh R, Greschus S, Essler M, Glas M, Herrlinger U. Kebir S, et al. Oncol Lett. 2016 Mar;11(3):2195-2198. doi: 10.3892/ol.2016.4189. Epub 2016 Feb 4. Oncol Lett. 2016. PMID: 26998148 Free PMC article.
Dynamic O-(2-[18F]fluoroethyl)-L-tyrosine PET imaging for the detection of checkpoint inhibitor-related pseudoprogression in melanoma brain metastases.
Kebir S, Rauschenbach L, Galldiks N, Schlaak M, Hattingen E, Landsberg J, Bundschuh RA, Langen KJ, Scheffler B, Herrlinger U, Glas M. Kebir S, et al. Among authors: bundschuh ra. Neuro Oncol. 2016 Oct;18(10):1462-4. doi: 10.1093/neuonc/now154. Epub 2016 Sep 2. Neuro Oncol. 2016. PMID: 27591333 Free PMC article. No abstract available.
Unsupervised consensus cluster analysis of [18F]-fluoroethyl-L-tyrosine positron emission tomography identified textural features for the diagnosis of pseudoprogression in high-grade glioma.
Kebir S, Khurshid Z, Gaertner FC, Essler M, Hattingen E, Fimmers R, Scheffler B, Herrlinger U, Bundschuh RA, Glas M. Kebir S, et al. Among authors: bundschuh ra. Oncotarget. 2017 Jan 31;8(5):8294-8304. doi: 10.18632/oncotarget.14166. Oncotarget. 2017. PMID: 28030820 Free PMC article.
Training on Reporting and Data System (RADS) for Somatostatin-Receptor Targeted Molecular Imaging Can Reduce the Test Anxiety of Inexperienced Readers.
Weich A, Higuchi T, Bundschuh RA, Lapa C, Serfling SE, Rowe SP, Pomper MG, Herrmann K, Buck AK, Derlin T, Werner RA. Weich A, et al. Among authors: bundschuh ra. Mol Imaging Biol. 2022 Aug;24(4):631-640. doi: 10.1007/s11307-022-01712-6. Epub 2022 Mar 1. Mol Imaging Biol. 2022. PMID: 35233654 Free PMC article.
Comparison of different SUV-based methods for response prediction to neoadjuvant radiochemotherapy in locally advanced rectal cancer by FDG-PET and MRI.
Herrmann K, Bundschuh RA, Rosenberg R, Schmidt S, Praus C, Souvatzoglou M, Becker K, Schuster T, Essler M, Wieder HA, Friess H, Ziegler SI, Schwaiger M, Krause BJ. Herrmann K, et al. Among authors: bundschuh ra. Mol Imaging Biol. 2011 Oct;13(5):1011-9. doi: 10.1007/s11307-010-0383-0. Mol Imaging Biol. 2011. PMID: 20936364
The sensitivity of [11C]choline PET/CT to localize prostate cancer depends on the tumor configuration.
Souvatzoglou M, Weirich G, Schwarzenboeck S, Maurer T, Schuster T, Bundschuh RA, Eiber M, Herrmann K, Kuebler H, Wester HJ, Hoefler H, Gschwend J, Schwaiger M, Treiber U, Krause BJ. Souvatzoglou M, et al. Among authors: bundschuh ra. Clin Cancer Res. 2011 Jun 1;17(11):3751-9. doi: 10.1158/1078-0432.CCR-10-2093. Epub 2011 Apr 14. Clin Cancer Res. 2011. PMID: 21493868
121 results