Cervical Cancer: Associations between Metabolic Parameters and Whole Lesion Histogram Analysis Derived from Simultaneous 18F-FDG-PETMRI
Joint Authors
Meyer, Hans Jonas
Surov, Alexey
Purz, Sandra
Sabri, Osama
Source
Contrast Media & Molecular Imaging
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-30
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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 (r=−0.486,P=0.041), p75 (r=−0.490,P=0.039), p90 (r=−0.513,P=0.029), ADC median (r=−0.497,P=0.036), and ADC mode (r=−0.546,P=0.019).
MTV also showed significant correlations with several ADC parameters: mean (r=−0.546,P=0.019), p10 (r=−0.473,P=0.047), p25 (r=−0.569,P=0.014), p75 (r=−0.576,P=0.012), p90 (r=−0.585,P=0.011), ADC median (r=−0.577,P=0.012), and ADC mode (r=−0.597,P=0.009).
ADC histogram analysis and volume-based metabolic 18F-FDG-PET parameters are related to each other in cervical cancer.
American Psychological Association (APA)
Meyer, Hans Jonas& Purz, Sandra& Sabri, Osama& Surov, Alexey. 2018. Cervical Cancer: Associations between Metabolic Parameters and Whole Lesion Histogram Analysis Derived from Simultaneous 18F-FDG-PETMRI. Contrast Media & Molecular Imaging،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1131419
Modern Language Association (MLA)
Meyer, Hans Jonas…[et al.]. Cervical Cancer: Associations between Metabolic Parameters and Whole Lesion Histogram Analysis Derived from Simultaneous 18F-FDG-PETMRI. Contrast Media & Molecular Imaging No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1131419
American Medical Association (AMA)
Meyer, Hans Jonas& Purz, Sandra& Sabri, Osama& Surov, Alexey. Cervical Cancer: Associations between Metabolic Parameters and Whole Lesion Histogram Analysis Derived from Simultaneous 18F-FDG-PETMRI. Contrast Media & Molecular Imaging. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1131419
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131419