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Contrast Media & Molecular Imaging
Volume 2018, Article ID 5063285, 8 pages
Research Article

Cervical Cancer: Associations between Metabolic Parameters and Whole Lesion Histogram Analysis Derived from Simultaneous 18F-FDG-PET/MRI

1Department of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany
2Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany

Correspondence should be addressed to Hans-Jonas Meyer; ed.bew@reyem.09sanoj

Received 17 April 2018; Revised 12 June 2018; Accepted 25 June 2018; Published 30 July 2018

Academic Editor: Elena Bonanno

Copyright © 2018 Hans-Jonas Meyer et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Multimodal imaging has been increasingly used in oncology, especially in cervical cancer. By using a simultaneous positron emission (PET) and magnetic resonance imaging (MRI, PET/MRI) approach, PET and MRI can be obtained at the same time which minimizes motion artefacts and allows an exact imaging fusion, which is especially important in anatomically complex regions like the pelvis. The associations between functional parameters from MRI and 18F-FDG-PET reflecting different tumor aspects are complex with inconclusive results in cervical cancer. The present study correlates histogram analysis and 18F-FDG-PET parameters derived from simultaneous FDG-PET/MRI in cervical cancer. Overall, 18 female patients (age range: 32–79 years) with histopathologically confirmed squamous cell cervical carcinoma were retrospectively enrolled. All 18 patients underwent a whole-body simultaneous 18F-FDG-PET/MRI, including diffusion-weighted imaging (DWI) using b-values 0 and 1000 s/mm2. Apparent diffusion coefficient (ADC) histogram parameters included several percentiles, mean, min, max, mode, median, skewness, kurtosis, and entropy. Furthermore, mean and maximum standardized uptake values (SUVmean and SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were estimated. No statistically significant correlations were observed between SUVmax or SUVmean and ADC histogram parameters. TLG correlated inversely with p25 (), p75 (), p90 (), ADC median (), and ADC mode (). MTV also showed significant correlations with several ADC parameters: mean (), p10 (), p25 (), p75 (), p90 (), ADC median (), and ADC mode (). ADC histogram analysis and volume-based metabolic 18F-FDG-PET parameters are related to each other in cervical cancer.