Metabolic Bulk Volume is an independent prognostic factor and facilitates identifying high risk cases for DLBCL patients treated with the R-CHOP

TL;DR

This study shows that a new PET scan measure called metabolic bulk volume (MBV) can predict survival outcomes in DLBCL patients better than existing methods.

Contribution

MBV is identified as an independent prognostic factor and improves risk stratification when combined with other PET parameters.

Findings

MBV and Dmax are significant independent predictors of overall survival in DLBCL patients.

Combining MBV with Dmax or TMTV improves risk stratification for progression-free and overall survival.

MBV further refines survival predictions within low- and high-risk groups defined by TMTV and Dmax.

Abstract

The purpose of this study was to evaluate the prognostic value of metabolic bulk volume (MBV), a baseline 18-fluorode-oxyglucose positron emission computed tomography (18F-FDG PET/CT) derived indicator characterizing bulky disease, in DLBCL patients treated with R-CHOP.

311 consecutive newly diagnosed Diffuse Large B-Cell Lymphoma (DLBCL) patients were retrospectively evaluated. Estimating MBV, Distance between the centers of the two farthest lesions (Dmax) and Total metabolic tumour volume (TMTV) as semiquantitative metabolic parameters. Receiver Operating Characteristic (ROC) curve analysis was used to determine the optimal cut-off values. Progression-Free Survival (PFS) and Overall Survival (OS) were the endpoints for evaluating prognosis. PFS and OS were estimated using Kaplan-Meier curves, and comparisons were performed via log-rank test.

Multivariate analysis showed that only two baseline 18F-FDG PET factors, MBV and Dmax, remained significant for OS (P = 0.004 and P < 0.0001). Combining high MBV and high Dmax generated three risk groups for PFS (P < 0.0001) and OS (P < 0.0001). This was equally effective as the three-risk-group stratification by high TMTV combined with high Dmax for both PFS (P < 0.0001) and OS (P < 0.0001). Further stratification of the three risk groups generated by the combination of high TMTV and high Dmax using MBV showed that MBV could further stratify PFS in both the low-risk group (P < 0.0001) and high-risk group (P = 0.015), as well as OS in high-risk group (P = 0.001).

MBV was an independent prognostic factor for DLBCL patients. The combination of MBV with parameters reflecting tumor dissemination distribution or total tumor burden further improved the risk stratification for staging in DLBCL patients.

Figures