Literature DB >> 24472411

Risk stratification and prognosis determination using (18)F-FDG PET imaging in endometrial cancer patients: a systematic review and meta-analysis.

Haleh Ghooshkhanei1, Giorgio Treglia2, Golnaz Sabouri1, Rozita Davoodi1, Ramin Sadeghi3.   

Abstract

OBJECTIVES: In the current study, we systematically searched and analyzed the available literature on the prognostic value of semi-quantitative (18)F-FDG PET imaging (SUVmax/mean) in patients with endometrial cancer and presenting the results in a meta-analytic format.
METHODS: Pubmed, SCOPUS, and ISI Web of Knowledge were searched using "endometr* AND PET" as the search algorithm. All studies evaluating the (18)F-FDG PET performance in pre-operative risk stratification or its prognostic value in patients with endometrial cancer were included. Statistical pooling of diagnostic accuracy indices was performed using random effects model. Cochrane Q test and I(2) index were used for heterogeneity evaluation.
RESULTS: Ten studies (771 patients) were included in the systematic review. Pooled average SUVmax values in patients with risk factors [grade III, lymphovascular invasion (LVI), cervical invasion (CI), myometrial invasion (MI)≥50%] were statistically higher than those in patients without risk factors. Pooled HR of pre-operative SUVmax for disease free survival was 7.415 [2.892-19.432] (p=0.000046).
CONCLUSION: Despite higher average SUVmax in the high-risk group compared to the low-risk group of patients with endometrial cancer, the usefulness of (18)F-FDG PET SUVmax in classifying patients into pre-defined risk groups seems to be limited. However, pre-operative SUVmax of endometrial tumors seems to be an independent prognostic marker of recurrence and death. Further large multicenter studies with adequate follow-up are needed to confirm our findings.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  (18)F-FDG PET; Endometrial cancer; Meta-analysis; Prognosis; SUVmax; Systematic review

Mesh:

Substances:

Year:  2014        PMID: 24472411     DOI: 10.1016/j.ygyno.2014.01.039

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


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