ArticleEuropean journal of nuclear medicine and molecular imaging2015
Preoperative risk stratification using metabolic parameters of (18)F-FDG PET/CT in patients with endometrial cancer.
Article in European journal of nuclear medicine and molecular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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24 citing papers in PubMed.
- Pretreatment volume-basedJapanese journal of radiology · 2026Article
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- Predicting aggressive disease and poor outcome in endometrial cancer using preoperative [European journal of nuclear medicine and molecular imaging · 2025Article
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- Predictive value of PET metabolic parameters for occult lymph node metastases in PET/CT defined node-negative patients with advanced epithelial ovarian cancer.Scientific reports · 2023Article
- The Evaluation of PreoperativeMolecular imaging and radionuclide therapy · 2022Article
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- Preoperative evaluation of residual tumor in patients with endometrial carcinoma by usingJournal of Cancer · 2020Article
- Prognostic value of metabolic tumor volume and total lesion glycolysis from ¹⁸F-FDG PET/CT in lymph node metastases and risk stratification of endometrial carcinoma.Journal of gynecologic oncology · 2019Article
- Role of Positron Emission Tomography/Computed Tomography in Preoperative Assessment of Carcinoma Endometrium-a Retrospective Analysis.Indian journal of surgical oncology · 2019Article
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- The Complementary Role of Imaging and Tumor Biomarkers in Gynecological Cancers: An Update of the LiteratureAsian Pacific journal of cancer prevention : APJCP · 2018Review
- Prognostic value of lymph node-to-primary tumor standardized uptake value ratio in endometrioid endometrial carcinoma.European journal of nuclear medicine and molecular imaging · 2018Article
- Role of positron emission tomography-computed tomography in endometrial cancer.Turkish journal of obstetrics and gynecology · 2017Article
- Verification of the tumor volume delineation method using a fixed threshold of peak standardized uptake value.Radiological physics and technology · 2017Article
- Prognostic value of metabolic parameters determined by preoperative ¹⁸F-FDG PET/CT in patients with uterine carcinosarcoma.Journal of gynecologic oncology · 2017Article
- Prediction of Recurrence by Preoperative Intratumoral FDG Uptake Heterogeneity in Endometrioid Endometrial Cancer.Translational oncology · 2017Article
- Prognostic impact of primary tumor SUVMolecular and clinical oncology · 2016Article
- Primary tumor SUVMolecular and clinical oncology · 2016Article
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Abstract
purposeTo evaluate the usefulness of metabolic parameters obtained by (18)F-FDG PET/CT for preoperative stratification of high-risk and low-risk endometrial carcinomas.
methodsPreoperative (18)F-FDG PET/CT was performed in 56 women with endometrial cancer. Maximum standardized uptake values (SUVmax), metabolic tumour volume (MTV) and total lesion glycolysis (TLG) of primary tumours were compared with clinicopathological features of surgical specimens. Diagnostic performance in terms of differentiation of low-risk disease (endometrioid histology, histological grade 1 or 2, invasion of less than half of the myometrium, and FIGO stage I) from high-risk disease was assessed.
resultsMTV and TLG were significantly higher in patients with higher histological grade (p = 0.0026 and p = 0.034), larger tumour size (p = 0.002 and p = 0.0017), lymphovascular space involvement (LVSI; p = 0.012 and p = 0.0051), myometrial invasion (p = 0.027 and p = 0.031), cervical stromal invasion (p = 0.023 and p = 0.014), ovarian metastasis (p = 0.00022 and p = 0.00034), lymph node metastasis (p < 0.0001 and p < 0.0001), and higher FIGO stage (p = 0.0011 and p = 0.00048). SUVmax was significantly higher in patients with larger tumour size (p = 0.0025), LVSI (p = 0.00023) and myometrial invasion (p < 0.0001). The areas under the ROC curves (AUCs) for distinguishing high-risk from low-risk carcinoma were 0.625, 0.829 and 0.797 for SUVmax, MTV and TLG, respectively. AUCs for both MTV and TLG were significantly larger than that for SUVmax (p = 0.0049 and p = 0.021). The optimal TLG cut-off value of 70.2, determined by ROC analysis, was found to have 72.0% sensitivity and 74.2% specificity for risk stratification.
conclusionMTV and TLG of primary endometrial cancer show better correlations with clinicopathological features and are more useful for differentiating high-risk from low-risk carcinoma than SUVmax.
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