Visual Versus Quantitative Assessment of Intratumor 18F-FDG PET Uptake Heterogeneity: Prognostic Value in Non-Small Cell Lung Cancer. - Inserm - Institut national de la santé et de la recherche médicale Accéder directement au contenu
Article Dans Une Revue Journal of Nuclear Medicine Année : 2014

Visual Versus Quantitative Assessment of Intratumor 18F-FDG PET Uptake Heterogeneity: Prognostic Value in Non-Small Cell Lung Cancer.

Résumé

The goal of this study was to compare visual assessment of intra-tumor 18F-FDG PET uptake distribution with a textural features (TF) automated quantification and to establish their respective prognostic value in non-small cell lung cancer (NSCLC). METHODS: The study retrospectively included 102 consecutive patients. Only primary tumors were considered. Intra-tumor heterogeneity was visually scored (3-level scale (Hvisu)) by two nuclear medicine physicians. Tumor volumes were automatically delineated and heterogeneity was quantified with TF. Mean and maximum SUV were also included. Visual inter-observer agreement and correlations with quantitative assessment were evaluated using the Kappa test and Spearman rank (r) coefficient respectively. Association with overall survival (OS) and recurrence-free survival (RFS) was investigated using the Kaplan-Meier method and Cox regression models. RESULTS: Moderate correlations (0.4
Fichier principal
Vignette du fichier
ManuscriptHAL.pdf (1003.89 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

inserm-01074715 , version 1 (15-10-2014)

Identifiants

  • HAL Id : inserm-01074715 , version 1
  • PUBMED : 24904113

Citer

Florent Tixier, Mathieu Hatt, Clémence Valla, Vincent Fleury, Corinne Lamour, et al.. Visual Versus Quantitative Assessment of Intratumor 18F-FDG PET Uptake Heterogeneity: Prognostic Value in Non-Small Cell Lung Cancer.: FDG PET heterogeneity in NSCLC. Journal of Nuclear Medicine, 2014, 55 (8), pp.1235-1241. ⟨inserm-01074715⟩
264 Consultations
470 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More