Prediction of 18F-FDG PET/CT Metabolic Parameters in Axillary Lymph Node Metastasis of Breast Cancer
10.3969/j.issn.1005-5185.2024.10.010
- VernacularTitle:18F-FDG PET/CT代谢参数预测乳腺癌腋窝淋巴结转移的价值
- Author:
Dandan CHEN
1
;
Yunlong LOU
;
Zheng LIN
Author Information
1. 梅州市人民医院核医学科,广东 梅州 514013
- Keywords:
Breast neoplasms;
Positron emission tomography computed tomography;
Lymphatic metastasis;
Forecasting
- From:
Chinese Journal of Medical Imaging
2024;32(10):1027-1031
- CountryChina
- Language:Chinese
-
Abstract:
Purpose To establish a non-invasive model for predicting axillary lymph node metastasis(ALNM)based on breast cancer related metabolic parameters.Materials and Methods A total of 158 patients diagnosed as breast cancer in Meizhou People's Hospital from January 1,2016 to March 30,2023 were selected,and all of them underwent whole-body PET/CT examination in our department before operation.Metabolic parameters of primary breast cancer[maximum standard uptake value(SUVmax),metabolic volume,total glycolysis(TLG)],highest axillary lymph node uptake SUVmax(SUVmaxALN),axillary lymph node short diameter and clinical related indexes[age,maximum tumor diameter,pathological type and tumor location]were obtained.According to the surgical and pathological results,the patients were divided into ALNM positive[ALNM(+)]group and ALNM negative[ALNM(-)]group.The relationship between the parameters of the two groups was analyzed,the best influencing factors were screened out,and binary Logistic regression was used to establish a prediction model to obtain the primary metabolic parameters of breast cancer.Results There were significant differences in TLG,metabolic volume,axillary lymph node short diameter and SUVmaxALN between ALNM(+)group and ALNM(-)group(Z=-3.924--1.812,all P<0.05),but there were no significant differences in age,tumor maximum diameter,pathological type,tumor location,primary focus SUVmax and SUVavg(all P>0.05).Multivariate Logistic regression analysis showed that TLG of breast cancer primary focus and SUVmaxALN could be used as independent risk factors of ALNM of breast cancer,and the regression model established by using these two factors was Logit(P)=0.142+0.443×SUVmaxALN-0.013×TLG.The area under the curve of ALNM prediction model based on TLG and SUVmaxALN was 0.769(95%CI 0.691-0.841,P<0.001).Conclusion TLG of breast cancer primary focus and SUVmaxALN can be used as independent predictors of ALNM of breast cancer,and the prediction model based on these two factors can predict ALNM well.This non-invasive method may have a certain application prospect in clinic.
