To evaluate the clinical value of 18F-fluorodeoxyglucose (18F-FDG) PET/CT in preoperative TNM staging
and explore the clinical value of maximum standardized uptake value (SUVmax) in the patients with colon cancer.
Methods:
PET/CT preoperative images of forty-four patients diagnosed with colon cancer were retrospectively analyzed to evaluate the accuracy of PET/CT in TNM staging before surgery. The groups were matched by sex
age
lesion position
diameter
TNM stage
American Joint Committee on Cancer (AJCC) stage
pathological type
differentiation state
carcinoembryonic antigen (CEA)
carbohydrate antigen 199 (CA199) and CA242
and SUVmax was calculated. The accuracy of SUVmax for differentiation was analyzed by receiver operating characteristic (ROC) curve.
Results:
There was a good consistency between PET/CT and pathologyresults in T stage and M stage (Kappa=0.776
1.0;
P
0.05)
while a worse consistency in N stage (Kappa=0.493;
P
0.05). There was no correlation between SUVmax and sex
age
lesion position
CA199 and CA242 (
P
0.05). But SUVmax was correlated with lesion diameter
TNM stage
AJCC stage
pathological type
differentiation state and CEA (
P
0.05). The area under ROC curve of SUVmax was 0.862. Taking SUVmax=14.6 as threshold value to evaluate the differentiation state of colon cancer
the sensitivity and specificity were both 77.8%.
Conclusion:
PET/CT should be applied in preoperative TNM staging in the patients with colon cancer. SUVmax may be related to lesion diameter
TNM stage
AJCC stage
pathological type
differentiation state and CEA. SUVmax can reflect the invasion and proliferation ability of colon cancer.
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Research status, development and clinical applications of PET/CT radiomics
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Related Author
Wenbin ZHENG
Wanping LI
GAO Xiaozhan
TIAN Miao
LI Nan
SUN Dazhen
LIU Qiufang
HUANG Gang
Related Institution
Department of Radiology, The Second Affiliated Hospital of Shantou University Medical College
Department of Radiology, Puning People's Hospital, Puning
Shantou University Medical School
Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University
Department of Automation, Shanghai Jiao Tong University