4.5 Article

Tumor Heterogeneity Measured on F-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Combined With Plasma Epstein-Barr Virus Load Predicts Prognosis in Patients With Primary Nasopharyngeal Carcinoma

Journal

LARYNGOSCOPE
Volume 127, Issue 1, Pages E22-E28

Publisher

WILEY
DOI: 10.1002/lary.26172

Keywords

Nasopharyngeal carcinoma; positron emission tomography; F-18 fluorodeoxyglucose; Epstein-Barr virus; heterogeneity; texture features; prognosis; risk stratification

Funding

  1. Taiwan Ministry of Science and Technology [NSC 104-2314-B-182A-084-MY3, NSC 102-2314-B-182A-096, MOST102-2628-B-182A-012-MY3]
  2. Chang Gung Memorial Hospital [CMRPG2E0191, CMRPG3C1912, CMRPG3C1913, CMRPG391391]

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Objectives/Hypothesis: Plasma Epstein-Barr virus (EBV) DNA concentrations predict prognosis in patients with nasopharyngeal carcinoma (NPC). Recent evidence also indicates that intratumor heterogeneity on F-18 fluorodeoxyglucose positron emission tomography (F-18-FDG PET) scans is predictive of treatment outcomes in different solid malignancies. Here, we sought to investigate the prognostic value of heterogeneity parameters in patients with primary NPC. Study Design: Retrospective cohort study. Methods: We examined 101 patients with primary NPC who underwent pretreatment F-18-FDG PET/computed tomography. Circulating levels of EBV DNA were measured in all participants. The following PET heterogeneity parameters were collected: histogram-based heterogeneity parameters, second-order texture features (uniformity, contrast, entropy, homogeneity, dissimilarity, inverse difference moment), and higher-order (coarseness, contrast, busyness, complexity, strength) texture features. Results: The median follow-up time was 5.11 years. Total lesion glycolysis (TLG), tumor heterogeneity measured by histogram-based parameter skewness, and the majority of second-order or higher-order texture features were significantly associated with overall survival (OS) and/or recurrence-free survival (RFS). In multivariate analysis, age (P = .005), EBV DNA load (P = .0002), and uniformity (P = .001) independently predicted OS. Only skewness retained the independent prognostic significance for RFS. Tumor stage, standardized uptake value, or TLG did not show an independent association with survival endpoints. The combination of uniformity, EBV DNA load, and age resulted in a more reliable prognostic stratification (P < .001). Conclusions: Tumor heterogeneity is superior to traditional PET parameters for predicting outcomes in primary NPC. The combination of uniformity with EBV DNA load can improve prognostic stratification in this clinical entity.

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