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Journal of Molecular Medicine (Berlin, Germany)|August 29, 2012
Hyperinsulinemia reduces osteoblast activity in vitro via upregulation of TGF-βThomas Freude, Karl Friedrich Braun, Alexander Haug, et al.
Oncology Letters|February 23, 2018
[18F]FDG-PET/CT and MRI for initial pelvic lymph node staging in patients with cervical carcinoma: The potential usefulness of [18F]FDG-PET/MRIPhilip Anner, Marius Mayerhöfer, Wolfgang Wadsak, et al.
Anticancer Research|November 5, 2014
Relevance of calcitonin cut-off in the follow-up of medullary thyroid carcinoma for conventional imaging and 18-fluorine-fluorodihydroxyphenylalanine PETAlma Sesti, Marius Mayerhoefer, Michael Weber, et al.
The Oncologist|September 2, 2018
Oral Ondansetron Offers Effective Antidiarrheal Activity for Carcinoid Syndrome Refractory to Somatostatin AnalogsBarbara Kiesewetter, Heying Duan, Wolfgang Lamm, et al.
Anticancer Research|December 27, 2017
Clinical Value of 18F-FDOPA PET/CT With Contrast Enhancement and Without Carbidopa Premedication in Patients with InsulinomaThomas Selim Nakuz, Erik Berger, Karem El-Rabadi, et al.
European Journal of Nuclear Medicine and Molecular Imaging|April 22, 2025
Genomic instability is associated with response to [¹⁷⁷Lu]Lu-PSMA-I&T radioligand therapy: an exploratory, preliminary liquid biopsy analysisKilian Kluge, David Haberl, Alexander Haug, et al.
Journal of Neuroendocrinology|July 24, 2023
Does the dose matter? Antiproliferative efficacy and toxicity of everolimus in patients with neuroendocrine tumors - Experiences from a tertiary referral centerBarbara Kiesewetter, Philipp Melhorn, Simon Macheiner, et al.
Endocrine Connections|March 21, 2024
Value of follow-up diagnostic radioiodine scans in differentiated thyroid cancerTeresa Kraus, Natalia Shengelia-de Lange, Holger Einspieler, et al.
European Journal of Nuclear Medicine and Molecular Imaging|January 13, 2009
Intraindividual comparison of 68Ga-DOTA-TATE and 18F-DOPA PET in patients with well-differentiated metastatic neuroendocrine tumoursAlexander Haug, Christoph J Auernhammer, Björn Wängler, et al.
Cancers|June 24, 2022
Analysis of Cross-Combinations of Feature Selection and Machine-Learning Classification Methods Based on [18F]F-FDG PET/CT Radiomic Features for Metabolic Response Prediction of Metastatic Breast Cancer LesionsOber Van Gómez, Joaquin L Herraiz, José Manuel Udías, et al.
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