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- Title
Usefulness of metabolic activity of adipose tissue in FDG PET/CT of colorectal cancer.
- Authors
Yoo, Ik Dong; Lee, Sang Mi; Lee, Jeong Won; Baek, Moo-Jun; Ahn, Tae Sung
- Abstract
Purpose: To determine the relationship between metabolic activity of adipose tissue on FDG PET/CT and prognosis in colorectal cancer.Methods: A total of 176 colorectal cancer patients with curative surgical resection were retrospectively enrolled. Volume and metabolic activity of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) on FDG PET/CT images were measured. The maximum standardized uptake value (SUV) of primary tumor (SUVtumor) was also obtained. Univariate analysis with log-rank test and multivariate Cox regression analyses were used to evaluate prognostic values of volume and metabolic activity of SAT and VAT as well as SUVtumor and clinicopathologic factors.Results: Of 176 patients, 26 experienced recurrence during follow-up. SUVtumor showed significant correlation with serum C-reactive protein level (r = 0.242, p = 0.001), SUV of VAT (r = 0.167, p = 0.026), and size of primary tumor (r = 0.341, p < 0.001). In univariate analysis with log-rank test, SUV of VAT (p = 0.009) and SAT (p = 0.006), volume of VAT (p = 0.015), N stage (p < 0.001), M stage (p < 0.001), tumor involvement of resection margin (p = 0.001), and lymphatic invasion (p = 0.024) were significantly associated with recurrence-free survival (RFS). However, SUVtumor showed no significant association with RFS. In multivariate Cox regression analysis, SUV of VAT (p = 0.016), presence of lymph node metastasis (p < 0.001), and tumor involvement of resection margin (p = 0.011) were independent prognostic factors for RFS.Conclusions: The SUV of VAT in patients with colorectal cancer is significantly associated with FDG uptake of primary tumor. It is an independent predictor for RFS.
- Subjects
ADIPOSE tissues; COLON cancer; METABOLISM; CANCER prognosis; REGRESSION analysis; UNIVARIATE analysis; MULTIVARIATE analysis
- Publication
Abdominal Radiology, 2018, Vol 43, Issue 8, p2052
- ISSN
2366-004X
- Publication type
Article
- DOI
10.1007/s00261-017-1418-7