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The preoperative SUVmax is superior to ADCmin of the primary tumour as a predictor of disease recurrence and survival in patients with endometrial cancer

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European Journal of Nuclear Medicine and Molecular Imaging Aims and scope Submit manuscript

Abstract

Purpose

The purpose of this study was to investigate the prognostic value of the minimum apparent diffusion coefficient (ADCmin) derived from diffusion-weighted MR imaging and of the maximum standardized uptake value (SUVmax) derived from PET/CT imaging of the primary tumour in patients with endometrial cancer.

Methods

SUVmax reflects the highest tumour metabolism rate and ADCmin reflects the highest cellularity, and both parameters have been used for tumour grading and prediction of prognosis. The correlations between prognosis and SUVmax and ADCmin of the primary tumour were determined in 131 patients with endometrial cancer. The patients were divided into groups based on ADCmin and SUVmax cut-off values to predict recurrence and survival, which were derived from receiver operating characteristic curves. Disease-free survival (DFS) and overall survival (OS) of the groups were analysed using the Kaplan-Meier method, and differences between survival curves were evaluated using the log-rank test.

Results

The median DFS and OS times of all patients were 19.2 and 20.5 months (follow-up periods 1–70 months for both DFS and OS), respectively. Patients with high SUVmax had significantly lower DFS (P < 0.0001) and OS (P = 0.0092) than patients with low SUVmax. Multivariate analysis showed that high SUVmax was an independent prognostic factor for both DFS (P = 0.0161) and OS (P = 0.0232).

Conclusion

The SUVmax of the primary tumour derived from PET/CT imaging could be an important prognostic indicator of recurrence and survival in patients with endometrial cancer.

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Correspondence to Keiichiro Nakamura.

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Nakamura, K., Joja, I., Fukushima, C. et al. The preoperative SUVmax is superior to ADCmin of the primary tumour as a predictor of disease recurrence and survival in patients with endometrial cancer. Eur J Nucl Med Mol Imaging 40, 52–60 (2013). https://doi.org/10.1007/s00259-012-2240-7

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  • DOI: https://doi.org/10.1007/s00259-012-2240-7

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