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Defining the optimal method for measuring baseline metabolic tumour volume in diffuse large B cell lymphoma.
Ilyas, Hajira; Mikhaeel, N George; Dunn, Joel T; Rahman, Fareen; Møller, Henrik; Smith, Daniel; Barrington, Sally F.
Afiliación
  • Ilyas H; Department of Nuclear Medicine, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Mikhaeel NG; Department of Clinical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Dunn JT; Kings College London and Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, UK.
  • Rahman F; Department of Clinical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Møller H; Department of Cancer Epidemiology and Population Health, King's College London, King's Health Partners, London, UK.
  • Smith D; Department of Clinical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
  • Barrington SF; Kings College London and Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, UK. sally.barrington@kcl.ac.uk.
Eur J Nucl Med Mol Imaging ; 45(7): 1142-1154, 2018 07.
Article en En | MEDLINE | ID: mdl-29460024
ABSTRACT

PURPOSE:

Metabolic tumour volume (MTV) is a promising prognostic indicator in diffuse large B cell lymphoma (DLBCL). Optimal thresholds to divide patients into 'low' versus 'high' MTV groups depend on clinical characteristics and the measurement method. The aim of this study was to compare in consecutive unselected patients with DLBCL, different software algorithms and published methods of MTV measurement using FDG PET.

METHOD:

Pretreatment MTV was measured on 147 patients treated at Guy's and St Thomas' Hospital. We compared 3

methods:

SUV ≥2.5, SUV ≥41% of maximum SUV and SUV ≥ mean liver uptake (PERCIST) and compared 2 software programs for measuring SUV ≥2.5; in-house 'PETTRA' software and Hermes commercial software.

RESULTS:

There was strong correlation between MTV using the 4 methods, although derived thresholds were very different for the 41% method. Optimal cut-offs for predicting PFS ranged from 166-400cm3. All methods predicted survival with similar accuracy. 5y-PFS was 83-87% vs. 42-44% and 5y-OS was 85-89% vs. 55-58% for the low- and high-MTV groups, respectively. Interobserver variation in 50 patients showed excellent agreement, though variation was lowest using the SUV ≥ 2.5 method. The 41% method was the most complex and took the longest time.

CONCLUSION:

All methods predicted PFS and OS with similar accuracy, but the derived cut-off separating good from poor prognosis varied markedly depending on the method. The choice of the optimal method should rely primarily on prognostic value, but for clinical use needs to take account of ease of use and reproducibility. In this study, all methods predicted prognosis, but SUV ≥ 2.5 had the best inter-observer agreement and was easiest to apply.
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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 Límite: Humans Idioma: En Revista: Eur J Nucl Med Mol Imaging Asunto de la revista: MEDICINA NUCLEAR Año: 2018 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 Límite: Humans Idioma: En Revista: Eur J Nucl Med Mol Imaging Asunto de la revista: MEDICINA NUCLEAR Año: 2018 Tipo del documento: Article País de afiliación: Reino Unido