FDG-PET after 1 cycle of therapy predicts outcome in diffuse large cell lymphoma and classic Hodgkin disease. Academic Article uri icon

Overview

abstract

  • BACKGROUND: Early prediction of response to therapy may offer the potential to identify patients who will benefit from standard conventional therapy. The objective of this study was to determine the predictive value of FDG-PET as an early response indicator after 1 cycle of chemotherapy for progression-free survival (PFS) in diffuse large cell lymphoma (DLCL) and classic Hodgkin disease (HD). METHODS: FDG-PET was performed before, after 1 cycle, and after completion of chemotherapy in 47 patients. The patients were followed with a median follow-up of 21 months (range, 3-47 months). PFS was compared between PET-positive and PET-negative patients after 1 cycle and after completion of therapy. RESULTS: All PET-negative patients after 1 cycle (n = 31) had sustained complete remission with a median follow-up of 28 months. Fourteen of 16 PET-positive patients after 1 cycle had refractory disease or relapsed (median PFS, 5.5 months). There were 2 false-positive results, 1 with an active infection at the biopsy site and the other in a patient who had been in remission after radiation therapy. There was good agreement between the results obtained after 1 cycle and at completion of therapy (kappa, 0.80); however, the negative predictive value was higher for FDG-PET after 1 cycle than after completion of chemotherapy (100% vs 91.4%), although not statistically different (P = .40). CONCLUSIONS: FDG-PET had a high prognostic value after 1 cycle of chemotherapy, thus it can be a valid alternative for posttreatment evaluation of DLCL and HD and may offer the potential for change in treatment paradigms.

publication date

  • December 1, 2006

Research

keywords

  • Antineoplastic Combined Chemotherapy Protocols
  • Fluorodeoxyglucose F18
  • Hodgkin Disease
  • Lymphoma, Large B-Cell, Diffuse
  • Radiopharmaceuticals

Identity

Scopus Document Identifier

  • 33751576028

Digital Object Identifier (DOI)

  • 10.1002/cncr.22276

PubMed ID

  • 17063502

Additional Document Info

volume

  • 107

issue

  • 11