Prognostic role of baseline 18F-FDG PET/CT metabolic parameters in elderly HL: a two-center experience in 123

Domenico Albano1, Angelica Mazzoletti2, Marianna Spallino3

  • 1Nuclear Medicine, University of Brescia and Spedali Civili, Brescia, Italy. doalba87@libero.it.

Annals of Hematology
|April 26, 2020
PubMed

Insights

Baseline 18F-FDG-PET/CT metabolic parameters predict treatment response and prognosis in elderly Hodgkin lymphoma (HL). Higher baseline lesion to liver SUVmax ratio (L-L SUV R) and lesion to blood-pool SUVmax ratio (L-BP SUV R) indicate poorer outcomes.

Area of Science:

  • Nuclear Medicine
  • Oncology
  • Radiology

Background:

  • Elderly Hodgkin lymphoma (HL) is an aggressive subgroup with high 18F-FDG avidity.
  • Lack of standardized PET/CT criteria for treatment evaluation and outcome prediction in elderly HL.

Purpose of the Study:

  • To investigate if baseline 18F-FDG-PET/CT metabolic parameters can predict treatment response and prognosis in elderly HL patients.
  • To establish predictive criteria for treatment response and long-term outcomes in this specific patient population.

Main Methods:

  • Retrospective analysis of 123 elderly HL patients with baseline and end-of-treatment 18F-FDG-PET/CT scans.
  • Semi-quantitative PET/CT analysis including lesion to liver SUVmax ratio (L-L SUV R), lesion to blood-pool SUVmax ratio (L-BP SUV R), metabolic tumor volume (MTV), and total lesion glycolysis (TLG).
  • Kaplan-Meier survival analysis and correlation with end-of-treatment Deauville criteria.

Main Results:

  • Higher baseline L-BP SUV R, L-L SUV R, MTV, and TLG were associated with no complete response at end of treatment.
  • L-L SUV R and L-BP SUV R were independent prognostic factors for progression-free survival (PFS) and overall survival (OS).
  • End-of-treatment PET/CT results using Deauville criteria strongly correlated with treatment response and survival outcomes.

Conclusions:

  • Baseline semi-quantitative PET/CT parameters are valuable predictors of treatment response and prognosis in elderly HL.
  • Integrating baseline metabolic parameters with end-of-treatment Deauville criteria can improve outcome prediction and treatment evaluation in elderly HL.