Preoperative detection of lymph node metastasis in endometrial cancer: The role of 18-FDG PET/CT
Abstract
Aim: Fluorine-18 2-fluoro-2-deoxy-D-glucose (FDG) positron emission tomography (PET)/CT imaging technique combines the advantages of localization and functional imaging, and thus has become a preferred method for detection of metastases to the lymph nodes (LN) of patients with endometrial cancer. The aim of this study was to evaluate the efficacy of 18F-FDG PET/CT imaging results in the detection of metastasis of endometrial cancer to lymph nodes.
Methods: This is a retrospective cohort study conducted between 2009 and 2015. The study group consisted of females who were admitted to our clinic and diagnosed with endometrial cancer (n=135). We included patients who underwent LN dissection with pre-operative 18F-FDG PET / CT imaging, and evaluated the capability of this method in terms of its effectiveness in determining metastases to the lymph nodes. Assessments and comparisons were performed with gold-standard pathological methods.
Results: The 18F-FDG PET/CT method for identification of lymph node metastases had a sensitivity of 76%, a specificity of 80%, a positive predictive value of 46.34% and a negative predictive value of 93.62%. The overall diagnostic accuracy was 79.26%.
Conclusion: Our analysis suggests that 18F-FDG PET/CT has a high negative predictive value with regards to lymph node metastasis in endometrial cancer and may be used effectively in evaluating lymph node metastasis in this cohort.
Keywords
References
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Details
Primary Language
English
Subjects
Obstetrics and Gynaecology
Journal Section
Research Article
Authors
Mustafa Taş
*
0000-0001-7183-0026
Türkiye
Adem Yavuz
This is me
0000-0003-4191-4004
Türkiye
Mehmet Dolanbay
0000-0002-8332-1568
Türkiye
Eser Kaya
This is me
0000-0003-2931-9974
Türkiye
Gökalp Öner
This is me
0000-0002-6270-4340
Türkiye
Bülent Özçelik
0000-0003-3257-8088
Türkiye
Publication Date
September 1, 2019
Submission Date
September 12, 2019
Acceptance Date
September 20, 2019
Published in Issue
Year 2019 Volume: 3 Number: 9