Literature DB >> 26546334

Comparison of FDG PET/CT and MRI in lymph node staging of endometrial cancer.

Hyun Jeong Kim1, Arthur Cho1, Mijin Yun1, Young Tae Kim2, Won Jun Kang3.   

Abstract

OBJECTIVE: Endometrial cancer is the most frequent cancer occurring in the female genital tract in the Western countries. Because surgical staging is currently the standard, noninvasive techniques that accurately identify lymph node (LN) metastases would be beneficial by reducing costs and complications. The purpose of our study is to compare the diagnostic accuracy of 2-[(18)F]fluoro-2-deoxy-D-glucose ((18)F-FDG) positron emission tomography/computed tomography (PET/CT) with that of magnetic resonance imaging (MRI) for detecting LN metastases in the preoperative staging of endometrial cancer.
METHODS: Two hundred eighty-seven consecutive patients with endometrial cancer underwent preoperative PET/CT and MRI for staging. The malignancy criteria for LNs were a short diameter of 1 cm or more by MRI and focally increased (18)F-FDG uptake by PET/CT. After evaluating PET/CT and MRI separately, morphologic and functional image findings were compared with the histological findings regarding LN metastasis for all patients. PET/CT and MRI images were classified on the basis of histological findings as true-positive, true-negative, false-positive, or false-negative. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were calculated.
RESULTS: Histologic examination revealed LN metastases in 51 patients (17.8%). The maximal standardized uptake values (SUVmax) of the primary lesions by PET/CT ranged from 1.4 to 37.7, with a mean value of 9.3, whereas those of the metastatic LNs ranged from 2.0 to 22.5 with a mean of 7.3. On a per-patient basis, node staging resulted in sensitivities of 70.0% with (18)F-FDG PET/CT and 34.0% with MRI, and specificities of 95.4 % with PET/CT and 95.0% with MRI. The NPV of PET/CT was 94.3%, and that of MRI was 87.2%. On a lesion base analysis, sensitivity of PET/CT was 79.4% while that of MRI was 51.6%. In detecting distant metastasis, the sensitivity, specificity, accuracy, PPV, and NPV of PET/CT were 92.9, 98.9, 98.6, 81.3, and 99.6%, respectively.
CONCLUSION: Diagnostic performance of FDG PET/CT was better than MRI for detecting metastatic lymph nodes in patients with endometrial cancer both by patient basis and lesion basis analyses. Due to high NPV, FDG PET-CT could aid in selecting candidates for lymphadenectomy.

Entities:  

Keywords:  18F-fluoro-2-deoxy-D-glucose positron emission tomography; Endometrial cancer; Lymph node; Staging

Mesh:

Substances:

Year:  2015        PMID: 26546334     DOI: 10.1007/s12149-015-1037-8

Source DB:  PubMed          Journal:  Ann Nucl Med        ISSN: 0914-7187            Impact factor:   2.668


  12 in total

1.  Role of Positron Emission Tomography/Computed Tomography in Preoperative Assessment of Carcinoma Endometrium-a Retrospective Analysis.

Authors:  Rohini Kulkarni; Rani Akhil Bhat; Vibhawari Dhakharia; Kumar Kallur; Aparna Gangoli
Journal:  Indian J Surg Oncol       Date:  2018-11-20

2.  Diagnostic Accuracy of Clinical Biomarkers for Preoperative Prediction of Lymph Node Metastasis in Endometrial Carcinoma: A Systematic Review and Meta-Analysis.

Authors:  Casper Reijnen; Joanna IntHout; Leon F A G Massuger; Fleur Strobbe; Heidi V N Küsters-Vandevelde; Ingfrid S Haldorsen; Marc P L M Snijders; Johanna M A Pijnenborg
Journal:  Oncologist       Date:  2019-06-11

3.  ESGO/ESTRO/ESP Guidelines for the management of patients with endometrial carcinoma.

Authors:  Nicole Concin; Carien L Creutzberg; Ignace Vergote; David Cibula; Mansoor Raza Mirza; Simone Marnitz; Jonathan A Ledermann; Tjalling Bosse; Cyrus Chargari; Anna Fagotti; Christina Fotopoulou; Antonio González-Martín; Sigurd F Lax; Domenica Lorusso; Christian Marth; Philippe Morice; Remi A Nout; Dearbhaile E O'Donnell; Denis Querleu; Maria Rosaria Raspollini; Jalid Sehouli; Alina E Sturdza; Alexandra Taylor; Anneke M Westermann; Pauline Wimberger; Nicoletta Colombo; François Planchamp; Xavier Matias-Guiu
Journal:  Virchows Arch       Date:  2021-02       Impact factor: 4.064

4.  Preoperative pelvic MRI and 2-[18F]FDG PET/CT for lymph node staging and prognostication in endometrial cancer-time to revisit current imaging guidelines?

Authors:  Kristine E Fasmer; Ankush Gulati; Julie A Dybvik; Kari S Wagner-Larsen; Njål Lura; Øyvind Salvesen; David Forsse; Jone Trovik; Johanna M A Pijnenborg; Camilla Krakstad; Ingfrid S Haldorsen
Journal:  Eur Radiol       Date:  2022-06-28       Impact factor: 5.315

Review 5.  [Clinical evaluation of female pelvic tumors : Application fields of integrated PET/MRI].

Authors:  J Grueneisen; L Umutlu
Journal:  Radiologe       Date:  2016-07       Impact factor: 0.635

6.  Diagnostic Value of 18F-FDG PET/CT and MRI in the Preoperative Evaluation of Uterine Carcinosarcoma.

Authors:  Soyoung Kim; Young Tae Kim; Sunghoon Kim; Sang Wun Kim; Jung-Yun Lee; Won Jun Kang
Journal:  Nucl Med Mol Imaging       Date:  2018-10-11

7.  Assessment of levels of the tumor markers HE4 and CA125 considering staging, grading and histological types of endometrial cancer.

Authors:  Nabil Abdalla; Robert Piórkowski; Paweł Stanirowski; Anna Słomka; Krzysztof Cendrowski; Włodzimierz Sawicki
Journal:  Prz Menopauzalny       Date:  2016-11-15

8.  Relationship between the expression of oestrogen receptor and progesterone receptor and 18F-FDG uptake in endometrial cancer.

Authors:  Chunhua Wu; Ruohua Chen; Lian Xu; Yumei Chen; Yining Wang; Gan Huang; Jianjun Liu
Journal:  Aging (Albany NY)       Date:  2020-07-08       Impact factor: 5.682

Review 9.  Endometrial cancer: an overview of novelties in treatment and related imaging keypoints for local staging.

Authors:  Stefania Rizzo; Marco Femia; Valentina Buscarino; Dorella Franchi; Annalisa Garbi; Vanna Zanagnolo; Maria Del Grande; Lucia Manganaro; Sarah Alessi; Caterina Giannitto; Francesca Ruju; Massimo Bellomi
Journal:  Cancer Imaging       Date:  2018-12-04       Impact factor: 3.909

10.  Multiplanar MRI-Based Predictive Model for Preoperative Assessment of Lymph Node Metastasis in Endometrial Cancer.

Authors:  Xiaojuan Xu; Hailin Li; Siwen Wang; Mengjie Fang; Lianzhen Zhong; Wenwen Fan; Di Dong; Jie Tian; Xinming Zhao
Journal:  Front Oncol       Date:  2019-10-09       Impact factor: 6.244

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