2020
DOI: 10.5114/pjr.2020.95945
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The relationship between FDG PET/CT-defined metabolic parameters and the histopathological subtype of oesophageal carcinomas

Abstract: Purpose: 18F-fluorodeoxyglucose (18 F-FDG) positron emission tomography (PET) combined with computed tomography (CT) scan is accepted as a standard tool in the staging of oesophageal cancer (OC). Histological subtype of tumour is known to be a major determinant of prognosis and metabolic behaviour. In this study, we aimed to evaluate the effect of histological subtypes of OC on standard uptake value (SUV max), metabolic tumour volume (MTV), and total lesion glycolysis (TLG) obtained by PET/CT, and also to comp… Show more

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Cited by 3 publications
(3 citation statements)
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“…Also, the discrimination of histopathological subtypes of EC is impossible with current imaging modalities. One study suggested that SUV max was not related to histopathological subtypes of EC but, MTV values of AC patients were significantly higher than those of SCC patients ( 10 ). However, there are also studies, which could not determine histopathological subtypes with SUV max or MTV ( 11 ).…”
Section: Discussionmentioning
confidence: 99%
“…Also, the discrimination of histopathological subtypes of EC is impossible with current imaging modalities. One study suggested that SUV max was not related to histopathological subtypes of EC but, MTV values of AC patients were significantly higher than those of SCC patients ( 10 ). However, there are also studies, which could not determine histopathological subtypes with SUV max or MTV ( 11 ).…”
Section: Discussionmentioning
confidence: 99%
“…It has been shown to provide valuable prognostic information prior to any treatment and during and after chemoradiotherapy [ 2 , 3 ]. Correlations between prognosis and various metabolic parameters such as standardized uptake value, total lesion glycolysis, and metabolic tumor volume have been reported in several studies [ 4 , 5 , 6 , 7 ]. Radiomics analysis allows us to use the diagnostic images further by extracting information otherwise “invisible” to the naked eye and thus potentially improve the diagnostic and prognostic accuracy of a given study [ 8 , 9 ].…”
Section: Introductionmentioning
confidence: 99%
“…Alternative quantitative metrics that consider not only SUVmax but also tracer uptake throughout the entire lesion have been proposed, such as metabolic tumor volume (MTV), which is defined as the total number of voxels within a volume of interest that have uptake above a predetermined SUV threshold, and total lesion glycolysis (TLG), calculated as MTV × SUVmean. Recent studies have identified volumetric parameters (MTV and TLG) as significant independent variables in predicting histological subtypes of esophageal cancer and other tumors [ 13 14 15 ]. However, MTV or TLG do not consider background activity; therefore, they are not accurate enough to delineate the boundaries of spatial heterogeneity intratumor or metabolically active tumor volume, especially for ground-glass nodules (GGN).…”
Section: Introductionmentioning
confidence: 99%