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The correlation between SUV measured on 18F-FDG PET/CT scan and residual tumor after argon-helium knife cryoablation / 介入放射学杂志
Journal of Interventional Radiology ; (12): 811-814, 2017.
Article in Chinese | WPRIM | ID: wpr-668271
ABSTRACT
Objective To evaluate the correlation between standardized uptake value (SUV) measured on 18F-FDG PET/CT scan and residual tumor after argon-helium knife cryoablation.Methods The clinical data of 40 patients with hepatic or pulmonary malignant tumors,who were treated with argon-helium knife cryoablation during the period from March 2008 to December 2015 at authors' hospital,were collected.18FFDG PET/CT scan was performed both before and after the treatment,and the SUV values of each patient were calculated.The data were analyzed based on the pathological findings and clinical follow-up results.Results A total of 42 lesions were detected in the 40 patients.After treatment,radionuclide concentration was demonstrated in 38 lesions,and 16 lesions were proved to be the tumor residual by follow-up imaging and pathological examination.In other 22 lesions the radionuclide concentration was due to inflammatory response.The SUV value of the tumor residual was strikingly higher than that of the inflammatory response (6.13±1.21 vs.2.64±0.96,P<0.05).The group with low SUV value had a lower recurrence rate (P=0.020) and a higher survival rate (P=0.039).The tumor survival rate of the low SUV value group was significantly lower than that of the group with high SUV value (x2=14.994,P=0.000 2).Conclusion 18F-FDG PET/CT imaging has unique value in promptly detecting marginal residual lesion after argon-helium knife cryoablation,which provides useful information for the evaluation of cryoablation effect as well as for the making of further therapeutic plan.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Journal of Interventional Radiology Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Journal of Interventional Radiology Year: 2017 Type: Article