# Predictive Value of Quantitative Parameters of 18F-FDG PET/CT in Patients with Liposarcoma

## TL;DR

This study shows that baseline PET/CT parameters, specifically SUV/HU ratios, can predict treatment response in liposarcoma patients more effectively than traditional metrics.

## Contribution

The study introduces baseline SUV/HU ratios as a novel diagnostic tool for predicting liposarcoma treatment outcomes.

## Key findings

- Baseline SUVmaxD/HUmean, SUVmaxD/HUmedian, and SUVmeanD/HUmedian ratios had AUC > 0.8, indicating strong predictive value for treatment response.
- Changes in SUVmean, rather than SUVmax, were found to be more accurate indicators of tumor response.
- DDLPS responders showed a significant decrease in 18F-FDG uptake and HUmax values.

## Abstract

The purpose of this study was to evaluate the predictive features of baseline F-18-fluorodeoxy-D-glucose positron emission tomography (18F-FDG PET)/computed tomography (CT) parameters in patients with dedifferentiated liposarcomas (DDLPSs) and well-differentiated liposarcomas (WDLPSs) receiving systemic treatment. A total of 24 patients with liposarcoma who underwent longitudinal 18F-FDG PET/CT in systemic therapy were included. All volumetric segmentation of each tumor section and semiquantitative imaging parameters were extracted from the axial field of view from both PET and CT images. Maximum, mean, and minimum standardized uptake values (SUVmax, SUVmean, and SUVmin), Hounsfield units (HUs), and their respective changes from baseline and posttreatment were calculated. The voxel values from unenhanced CT images were correlated with PET-derived parameters. The 18F-FDG uptake decreased by more than 56% on average in responders for both SUVmax and SUVmean in DDLPS. There was a decrease in HUmax in DDLPS among responders. Using AUC > 0.8 as a reasonable predictor, we found that the ratios of SUVmaxD/HUmean, SUVmaxD/HUmedian, and SUVmeanD/HUmedian at baseline were significant indicators of the response to treatment in patients with liposarcoma. The changes in SUVmean and not just SUVmax parameters could be considered as accurate tumor response indicators. For the first time, we introduced baseline SUV/HU ratios as a valuable diagnostic tool in predicting liposarcoma treatment outcomes. This ability was not revealed by classic semiquantitative PET or CT parameters at baseline.