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


CONCLUSIONS
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.
Patient Safety Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Haleh
H
Ghooshkhanei
Department of Nuclear Medicine and PET/CT Centre, Oncology Institute of Southern Switzerland, Bellinzona, Switzerland. Electronic address: giorgiomednuc@libero.it.
Giorgio
G
Treglia
Patient Safety Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Golnaz
G
Sabouri
Patient Safety Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Rozita
R
Davoodi
Nuclear Medicine Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address: sadeghir@mums.ac.ir.
Ramin
R
Sadeghi
D016889:Endometrial Neoplasms / Q000175:diagnosis / Q000000981:diagnostic imaging*; D005260:Female; D019788:Fluorodeoxyglucose F18; D006801:Humans; D049268:Positron-Emission Tomography; D011379:Prognosis; D019275:Radiopharmaceuticals; D012307:Risk Factors
D019275:Radiopharmaceuticals; D019788:Fluorodeoxyglucose F18
(18)F-FDG PET; Endometrial cancer; Meta-analysis; Prognosis; SUVmax; Systematic review