Texture Analysis Improves the Value of Pretreatment 18F-FDG PETCT in Predicting Interim Response of Primary Gastrointestinal Diffuse Large B-Cell Lymphoma

Abstract EN

Objectives.

To explore the application of pretreatment 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/computed tomography (CT) texture analysis (TA) in predicting the interim response of primary gastrointestinal diffuse large B-cell lymphoma (PGIL-DLBCL).

Methods.

Pretreatment 18F-FDG PET/CT images of 30 PGIL-DLBCL patients were studied retrospectively.

The interim response was evaluated after 3-4 cycles of chemotherapy.

The complete response (CR) rates in patients with different clinicopathological characteristics were compared by Fisher’s exact test.

The differences in the maximum standard uptake value (SUVmax), metabolic tumor volume (MTV), and texture features between the CR and non-CR groups were compared by the Mann–Whitney U test.

Feature selection was performed according to the results of the Mann–Whitney U test and feature categories.

The predictive efficacies of the SUVmax, MTV, and the selected texture features were assessed by receiver operating characteristic (ROC) analysis.

A prediction probability was generated by binary logistic regression analysis.

Results.

The SUVmax, MTV, some first-order texture features, volume, and entropy were significantly higher in the non-CR group.

The energy was significantly lower in the non-CR group.

The SUVmax, volume, and entropy were excellent predictors of the interim response, and the areas under the curves (AUCs) were 0.850, 0.805, and 0.800, respectively.

The CR rate was significantly lower in patients with intestinal involvement.

The prediction probability generated from the combination of the SUVmax, entropy, volume, and intestinal involvement had a higher AUC (0.915) than all single parameters.

Conclusions.

TA has potential in improving the value of pretreatment PET/CT in predicting the interim response of PGIL-DLBCL.

However, prospective studies with large sample sizes and validation analyses are needed to confirm the current results.