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Combination of baseline metabolic tumour volume and early response on PET/CT improves progression-free survival prediction in DLBCL.
Mikhaeel, N George; Smith, Daniel; Dunn, Joel T; Phillips, Michael; Møller, Henrik; Fields, Paul A; Wrench, David; Barrington, Sally F.
Afiliación
  • Mikhaeel NG; Department of Clinical Oncology, Guy's and St Thomas' NHS Foundation Trust, Westminster Bridge Road, SE1 7EH, London, UK. george.mikhaeel@gstt.nhs.uk.
  • Smith D; Department of Clinical Oncology, Guy's and St Thomas' NHS Foundation Trust, Westminster Bridge Road, SE1 7EH, London, UK.
  • Dunn JT; PET Imaging Centre at St Thomas' Hospital, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
  • Phillips M; PET Imaging Centre at St Thomas' Hospital, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
  • Møller H; Department of Cancer Epidemiology and Population Health, King's College London, London, UK.
  • Fields PA; Department of Haematology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Wrench D; Department of Haematology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Barrington SF; PET Imaging Centre at St Thomas' Hospital, Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
Eur J Nucl Med Mol Imaging ; 43(7): 1209-19, 2016 Jul.
Article en En | MEDLINE | ID: mdl-26902371
ABSTRACT

BACKGROUND:

The study objectives were to assess the prognostic value of quantitative PET and to test whether combining baseline metabolic tumour burden with early PET response could improve predictive power in DLBCL.

METHODS:

A total of 147 patients with DLBCL underwent FDG-PET/CT scans before and after two cycles of RCHOP. Quantitative parameters including metabolic tumour volume (MTV) and total lesion glycolysis (TLG) were measured, as well as the percentage change in these parameters. Cox regression analysis was used to test the relationship between progression-free survival (PFS) and the study variables. Receiver operator characteristics (ROC) analysis determined the optimal cut-off for quantitative variables, and Kaplan-Meier survival analysis was performed.

RESULTS:

The median follow-up was 3.8 years. As MTV and TLG measures correlated strongly, only MTV measures were used for multivariate analysis (MVA). Baseline MTV (MTV-0) was the only statistically significant predictor of PFS on MVA. The optimal cut-off for MTV-0 was 396 cm(3). A model combing MTV-0 and Deauville score (DS) separated the population into three distinct prognostic groups good (MTV-0 < 400; 5-year PFS > 90 %), intermediate (MTV-0 ≥ 400+ DS1-3; 5-year PFS 58.5 %) and poor (MTV-0 ≥ 400+ DS4-5; 5-year PFS 29.7 %)

CONCLUSIONS:

MTV-0 is an important prognostic factor in DLBCL. Combining MTV-0 and early PET/CT response improves the predictive power of interim PET and defines a poor-prognosis group in whom most of the events occur.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Linfoma de Células B Grandes Difuso / Carga Tumoral / Tomografía Computarizada por Tomografía de Emisión de Positrones Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Eur J Nucl Med Mol Imaging Asunto de la revista: MEDICINA NUCLEAR Año: 2016 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Linfoma de Células B Grandes Difuso / Carga Tumoral / Tomografía Computarizada por Tomografía de Emisión de Positrones Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Eur J Nucl Med Mol Imaging Asunto de la revista: MEDICINA NUCLEAR Año: 2016 Tipo del documento: Article País de afiliación: Reino Unido