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| Value of Combined Quantitative Diagnosis of Pet/Ct Metabolic Parameters in Predicting the Risk of Lymph Node Metastasis in Breast Cancer Patients |
| QIAN Li-xin, QIN Dong-jie |
| Imaging Department, Wuxi People's Hospital,Wuxi Jiangsu 214023 |
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Abstract 【Objective】To explore the value of positron emission tomography (PET/CT) combined with metabolic parameters in quantitative diagnosis and prediction of lymph node metastasis risk in breast cancer patients. 【Methods】A total of 78 patients with breast cancer admitted to our hospital were enrolled in the study. All patients underwent PET/CT examination and sentinel lymph node (SLN) biopsy before treatment. According to the results of SLN biopsy, 47 patients who showed SLN positive were divided into the metastatic group (n=42) and 6 patients were in the non-metastatic group .The differences of the maximum standard uptake of PET/CT metabolic parameters (SUVmax), tumor metabolic volume (MTV) and total glycolysis (TLG) between the two groups were compared, and the value of PET/CT metabolic parameters in predicting the risk of lymph node metastasis in breast cancer patients was analyzed by ROC. 【Results】SUVmax, MTV and TLG in the metastatic group were significantly higher than those in the non-metastatic group (P<0.05).ROC analysis confirmed that SUVmax, MTV and TLG could all be used to predict the risk of lymph node metastasis in adenocarcinoma patients, and the areas under the curve were 0.901, 0.678 and 0.871, respectively, with P<0.05.The sensitivity, specificity, accuracy, positive predictive value, negative predictive value and Kappa for the combined diagnosis of PET/CT metabolic parameters in predicting the risk of lymph node metastasis in breast cancer patients were 0.857, 0.944, 0.897, 0.897, 0.947 and 0.795 respectively. 【Conclusion】PET/CT metabolic parameters SUVmax≥5.475, MTV≥8.155 cm3, and TLG≥ 22.63 g can be used to predict the risk of lymph node metastasis in breast cancer patients, and furthermore the three parameters combined diagnosis has a higher sensitivity to predict the risk of lymph node metastasis, which is worthy of clinicians' attention.
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Received: 21 July 2021
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2021, Vol. 38 
