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Excess visceral adiposity is associated with increased gastrointestinal cancer risk. Evidence suggests that the systemic inflammation and dysmetabolism observed in visceral obesity underpins this association. Along with magnetic resonance imaging, computed tomography is a gold standard for abdominal fat quantification and is routinely available for gastrointestinal cancer research. However, no gender-specific cutoff values are currently available for classifying visceral obesity in white populations. Using the metabolic syndrome (MetSyn) as an indicator of obesity-associated dysmetabolism, this study aimed to establish pathologically relevant, gender-specific cut-off values for use in obesity-associated cancer research. Total, visceral and subcutaneous fat areas were calculated between the L3 and L4 invertebral space from computed tomography scans in a cohort of 170 males and 66 females undergoing …