The Predictive Value of 18F-FDG PET/CT on Acute Ischemic Stroke in Patients with Active Cancer
LI Aiyuan, FAN Ping, LI Xianjun, ZHAO Zhe, ZHAN Tongxia, XIE Hai
2024, 19(2):
150-157.
DOI: 10.3969/j.issn.1673-5765.2024.02.005
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Objective To explore which indicators of 18F-fluorodeoxyglucose (18F-FDG) PET/CT imaging can be used as markers for predicting acute ischemic stroke (AIS) in active cancer (AC) patients.
Methods Inpatients with AC who underwent 18F-FDG PET/CT in the First Affiliated Hospital of Weifang Medical University from January 2021 to May 2022 were retrospectively included, and divided into AIS group and non-AIS group according to whether they developed AIS within 1 year after the examination. According to the basic characteristics of the patients (gender, age, weight, cancer site, fasting blood glucose before PET/CT examination) by 1∶1 propensity score matching, clinical and 18F-FDG PET/CT imaging data of both groups of patients were analyzed, mainly including the target to background ratios (TBRs) of carotid arteries (CA), ascending aorta and aortic arch (AAO-AOA), descending aorta (DAO), iliac artery and femoral artery (IA-FA), visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) and total bowel (TB), the area of VAT and SAT and the ratio between the two. For variables with P<0.1 in univariate logistic regression, stepwise backward logistic regression was used to analyze the independent risk factors for AIS in AC patients. ROC curve was used to evaluate the predictive value of combined independent risk factors for AIS.
Results A total of 88 patients were included (44 in the AIS group and 44 in the non-AIS group), with a mean age of (69.8±8.8) years and 72.7% (64 cases) of males. The proportion of coronary heart disease in AIS group was higher than that in non-AIS group, the TBRs of CA, AAO-AOA, DAO, IA-FA, VAT, SAT and TB were increased compared with non-AIS group, while the VAT area was lower than that in AIS group, and the differences were statistically significant. Multivariate logistic regression showed that coronary heart disease (OR 3.92, 95%CI 1.11-13.87, P=0.034), CA TBR≥1.80 (OR 2.90, 95%CI 1.04-8.10, P=0.042), DAO TBR≥2.30 (OR 4.13, 95%CI 1.45-11.75, P=0.008), TB TBR≥3.34 (OR 2.87, 95%CI 1.01-8.12, P=0.047) and VAT TBR≥0.44 (OR 3.92, 95%CI 1.39-11.09, P=0.010) were independent risk factors for AIS in AC patients. The AUC of ROC curve combined with these five indexes was 0.821 (95%CI 0.736-0.906, P<0.001), and the sensitivity and specificity of AIS prediction in tumor patients were 68.2% and 81.8%.
Conclusions Coronary heart disease and the increased TBR of CA, DAO, VAT and TB are independent risk factors for AIS in AC patients, and the combination of these 5 indicators has certain predictive value for AIS in AC patients.