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European Radiology|November 5, 2025
ESUR: Opportunities for PSMA-PET/CT and whole-body MRI in advanced prostate cancerSungmin Woo, Luca Russo, Samuel J Withey, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|September 16, 2021
Diagnostic Accuracy of FEC-PET/CT, FDG-PET/CT, and Diffusion-Weighted MRI in Detection of Nodal Metastases in Surgically Treated Endometrial and Cervical CarcinomaAndrea G Rockall, Tara D Barwick, William Wilson, et al.
JACC. Cardiovascular Imaging|January 23, 2017
FDG Uptake by Prosthetic Arterial Grafts in Large Vessel Vasculitis Is Not Specific for Active DiseaseTaryn Youngstein, Enrico Tombetti, Jaita Mukherjee, et al.
European Journal of Nuclear Medicine and Molecular Imaging|November 2, 2025
Diagnostic performance of quantitative measures from [<sup>18</sup>F]FDG PET/CT, [<sup>18</sup>F]FEC PET/CT, and DW-MRI in the detection of lymph node metastases in endometrial and cervical cancer: data from the MAPPING studyBen G King, Nishat Bharwani, William Wilson, et al.
European Journal of Nuclear Medicine and Molecular Imaging|October 24, 2018
Effect of blood glucose level on standardized uptake value (SUV) in <sup>18</sup>F- FDG PET-scan: a systematic review and meta-analysis of 20,807 individual SUV measurementsMahsa Eskian, Abass Alavi, MirHojjat Khorasanizadeh, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|February 8, 2024
Somatostatin Receptor Imaging with [<sup>18</sup>F]FET-βAG-TOCA PET/CT and [<sup>68</sup>Ga]Ga-DOTA-Peptide PET/CT in Patients with Neuroendocrine Tumors: A Prospective, Phase 2 Comparative StudySuraiya Dubash, Tara D Barwick, Kasia Kozlowski, et al.
European Journal of Vascular and Endovascular Surgery : the Official Journal of the European Society for Vascular Surgery|July 14, 2026
European Society for Vascular Surgery (ESVS) 2026 Clinical Practice Guidelines on the Management of Vascular Graft and Endograft InfectionsAnne Lejay, Ben R Saleem, Tara D Barwick, et al.
Investigative Radiology|June 26, 2023
Development and Evaluation of Machine Learning in Whole-Body Magnetic Resonance Imaging for Detecting Metastases in Patients With Lung or Colon Cancer: A Diagnostic Test Accuracy StudyAndrea G Rockall, Xingfeng Li, Nicholas Johnson, et al.
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