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SU‐E‐I‐85: Exploring the 18F‐Fluorodeoxyglucose PET Characteristics in Staging of Esophageal Squamous Cell Carcinoma
Author(s) -
Ma C,
Yin Y
Publication year - 2014
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.4888035
Subject(s) - receiver operating characteristic , medicine , stage (stratigraphy) , standardized uptake value , nuclear medicine , mann–whitney u test , esophageal squamous cell carcinoma , positron emission tomography , t stage , carcinoma , basal cell , fluorodeoxyglucose , radiology , cancer , pathology , paleontology , biology
Purpose: The aim of this study was to explore the characteristics derived from 18F‐fluorodeoxyglucose (18F‐FDG) PET image and assess its capacity in staging of esophageal squamous cell carcinoma (ESCC). Methods: 26 patients with newly diagnosed ESCC who underwent 18F‐FDG PET scan were included in this study. Different image‐derived indices including the standardized uptake value (SUV), gross tumor length, texture features and shape feature were considered. Taken the histopathologic examination as the gold standard, the extracted capacities of indices in staging of ESCC were assessed by Kruskal‐Wallis test and Mann‐Whitney test. Specificity and sensitivity for each of the studied parameters were derived using receiver‐operating characteristic curves. Results: 18F‐FDG SUVmax and SUVmean showed statistically significant capability in AJCC and TNM stages. Texture features such as ENT and CORR were significant factors for N stages(p=0.040, p=0.029). Both FDG PET Longitudinal length and shape feature Eccentricity (EC) (p≤0.010) provided powerful stratification in the primary ESCC AJCC and TNM stages than SUV and texture features. Receiver‐operating‐characteristic curve analysis showed that tumor textural analysis can capabilty M stages with higher sensitivity than SUV measurement but lower in T and N stages. Conclusion: The 18F‐FDG image‐derived characteristics of SUV, textural features and shape feature allow for good stratification AJCC and TNM stage in ESCC patients.