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Relationship of 18F-FDG PET/CT metabolic indexes and clinicopathological factors of colorectal adenocarcinoma / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 1517-1521, 2019.
Article in Chinese | WPRIM | ID: wpr-861207
ABSTRACT

Objective:

To investigate the correlation of 18F-FDG PET/CT imaging metabolic indexes and clinicopathological factors of primary colorectal adenocarcinoma.

Methods:

Clinical data of 52 patients with colorectal adenocarcinoma confirmed by operation and pathology were retrospectively analyzed. All patients underwent 18F-FDG PET/CT imaging, and the maximum diameter, maximum standard uptake value (SUVmax), mean standard uptake value(SUVmean) and metabolic volume (MTV) of the primary tumors were recorded, and the total lesion glycolysis (TLG) was calculated. The patients were grouped according to the largest diameter, T stage, N stage and cell differentiation degree of the primary tumor respectively, and the differences of the above parameters were compared, and the correlations of the above parameters and clinicopathological features were analyzed.

Results:

SUVmax, SUVmean, MTV and TLG of 52 patients with colorectal adenocarcinoma were 13.38±7.34, 7.75±3.94, (15.83±11.18)cm3 and 103.15(45.28,140.23)g, respectively. There were significant differences in metabolic indexes of the maximum diameter groups (all P0.05), while there were significant differences in MTV and TLG among different T-stage groups (both P0.05). There were positive correlations of SUVmax, SUVmean with the maximum diameter of the primary tumor (both P0.05). MTV and TLG were positively correlated with the maximum diameter and T stage of the primary tumor (all P0.05).

Conclusion:

MTV and TLG can reflect the pathological factors of colorectal adenocarcinoma in some degree, and have higher evaluation value than SUVmax and SUVmean.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Medical Imaging Technology Year: 2019 Type: Article