PERCIST and Hopkins criteria and PET/CT metabolic parameters as prognostic factors in squamous head and neck cancer.
Rev Esp Med Nucl Imagen Mol (Engl Ed)
; 42(3): 163-170, 2023.
Article
em En
| MEDLINE
| ID: mdl-36858187
ABSTRACT
AIM:
To assess the clinical utility of PERCIST and Hopkins criteria and changes in [18F]FDG PET/CT quantitative parameters as prognostic factors for progression-free survival (PFS) and cancer-specific survival (CSS) in patients with head and neck squamous cell carcinoma treated by chemoradiotherapy. MATERIAL ANDMETHODS:
Forty patients (34 men) diagnosed with head and neck squamous cell carcinoma were retrospectively assessed over an interval of 8 years. PERCIST and Hopkins criteria were used to assess response to treatment. Variations in the metabolic parameters maximum SUV (ΔSUVmax), metabolic tumor volume (ΔMTV) and total lesion glycolysis (ΔTLG) between pre- and post-treatment PET/CT studies were also determined. The Cox regression model, ROC curves and the Kaplan-Meier method were used for the analysis of prognostic factors and survival curves.RESULTS:
The mean follow-up was 39.4 months, with 24 progressions and 22 deaths. Both PERCIST and Hopkins criteria and the three metabolic parameters were predictive factors in the univariate analysis and only ΔSUVmax was in the multivariate analysis. Survival analysis showed statistically significant differences in PFS and CSS curves for the five parameters considered.CONCLUSION:
Application of PERCIST and Hopkins criteria as well as ΔSUVmax, ΔMTV and ΔTLG from PET/CT studies proved to be prognostic factors for survival in patients in our setting for treating head and neck cancer. The results may help to personalize treatment.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Tomografia por Emissão de Pósitrons combinada à Tomografia Computadorizada
/
Neoplasias de Cabeça e Pescoço
Tipo de estudo:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
/
Male
Idioma:
En
Revista:
Rev Esp Med Nucl Imagen Mol (Engl Ed)
Ano de publicação:
2023
Tipo de documento:
Article