Trends in oncologic hybrid imaging-Reference-Cited by-同舟云学术

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Trends in oncologic hybrid imaging

Published:2018-01-19 Issue:1 Volume:2 Page:
ISSN:2510-3636
Container-title:European Journal of Hybrid Imaging
language:en
Short-container-title:European J Hybrid Imaging

Author:

Wibmer Andreas G.,Hricak Hedvig,Ulaner Gary A.,Weber Wolfgang

Funder

Peter Michael Foundation

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Molecular Medicine,Biophysics,Computer Science (miscellaneous)

Link

http://link.springer.com/article/10.1186/s41824-017-0019-6/fulltext.html

Reference52 articles.

1. Afshar-Oromieh A, Holland-Letz T, Giesel FL, Kratochwil C, Mier W, Haufe S et al (2017) Diagnostic performance of 68Ga-PSMA-11 (HBED-CC) PET/CT in patients with recurrent prostate cancer: evaluation in 1007 patients. Eur J Nucl Med Mol Imaging 44(8):1258–1268

2. Barrio M, Czernin J, Fanti S, Ambrosini V, Binse I, Du L et al (2017) The impact of Somatostatin receptor-directed PET/CT on the Management of Patients with Neuroendocrine tumor: a systematic review and meta-analysis. J Nucl Med 58(5):756–761

3. Baum RP, Kulkarni HR, Schuchardt C, Singh A, Wirtz M, Wiessalla S et al (2016) 177Lu-labeled prostate-specific membrane antigen Radioligand therapy of metastatic castration-resistant prostate cancer: safety and efficacy. J Nucl Med 57(7):1006–1013

4. Baumann T, Rottenburger C, Nicolas G, Wild D (2016) Gastroenteropancreatic neuroendocrine tumours (GEP-NET) - imaging and staging. Best Pract Res Clin Endocrinol Metab 30(1):45–57

5. Becker AS, Marcon M, Ghafoor S, Wurnig MC, Frauenfelder T, Boss A (2017) Deep learning in mammography: diagnostic accuracy of a multipurpose image analysis software in the detection of breast cancer. Investig Radiol 52(7):434–440

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