Preoperative 18F-FDG PET/CT tumor markers outperform MRI-based markers for the prediction of lymph node metastases in primary endometrial cancer.

ABSTRACT:

Objectives

To compare the diagnostic accuracy of preoperative 18F-FDG PET/CT and MRI tumor markers for prediction of lymph node metastases (LNM) and aggressive disease in endometrial cancer (EC).

Methods

Preoperative whole-body 18F-FDG PET/CT and pelvic MRI were performed in 215 consecutive patients with histologically confirmed EC. PET/CT-based tumor standardized uptake value (SUV_max and SUV_mean), metabolic tumor volume (MTV), and PET-positive lymph nodes (LNs) (SUV_max >?2.5) were analyzed together with the MRI-based tumor volume (V_MRI), mean apparent diffusion coefficient (ADC_mean), and MRI-positive LN (maximum short-axis diameter ??10 mm). Imaging parameters were explored in relation to surgicopathological stage and tumor grade. Receiver operating characteristic (ROC) curves were generated yielding optimal cutoff values for imaging parameters, and regression analyses were used to assess their diagnostic performance for prediction of LNM and progression-free survival.

Results

For prediction of LNM, MTV yielded the largest area under the ROC curve (AUC) (AUC?=?0.80), whereas V_MRI had lower AUC (AUC?=?0.72) (p?=?0.03). Furthermore, MTV >?27 ml yielded significantly higher specificity (74%, p?MRI >?10 ml (58%, 62%, and 9.7, respectively). MTV >?27 ml also tended to yield higher sensitivity than PET-positive LN (81% vs 50%, p?=?0.13). Both V_MRI >?10 ml and MTV >?27 ml were significantly associated with reduced progression-free survival.

Conclusions

Tumor markers from 18F-FDG PET/CT outperform MRI markers for the prediction of LNM. MTV >?27 ml yields a high diagnostic performance for predicting aggressive disease and represents a promising supplement to conventional PET/CT reading in EC.

Key points

• Metabolic tumor volume (MTV) outperforms other 18F-FDG PET/CT and MRI markers for preoperative prediction of lymph node metastases (LNM) in endometrial cancer patients. • Using cutoff values for tumor volume for prediction of LNM, MTV >?27 ml yielded higher specificity and accuracy than V_MRI>?10 ml. • MTV represents a promising supplement to conventional PET/CT reading for predicting aggressive disease in EC.

SUBMITTER: Fasmer KE 

PROVIDER: S-EPMC7160067 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature