The role of computed tomography features in assessing response to neoadjuvant chemotherapy in locally advanced gastric cancer

被引:6
作者
Wei, Chengzhi [1 ]
He, Yun [2 ]
Luo, Ma [2 ]
Chen, Guoming [1 ]
Nie, Runcong [1 ]
Chen, Xiaojiang [1 ]
Zhou, Zhiwei [1 ]
Chen, Yongming [1 ]
机构
[1] Sun Yat Sen Univ, Guangdong Prov Clin Res Ctr Canc, Dept Gastr Surg, State Key Lab Oncol South China,Canc Ctr, Guangzhou 510060, Peoples R China
[2] Sun Yat Sen Univ, Guangdong Prov Clin Res Ctr Canc, Dept Med Imaging, State Key Lab Oncol South China,Canc Ctr, Guangzhou 510060, Peoples R China
关键词
Gastric cancer; Computed tomography; Neoadjuvant chemotherapy; Pathological response; Tumor regression grade; TUMOR-REGRESSION GRADE; LYMPH-NODES; PREDICTION; CRITERIA;
D O I
10.1186/s12885-023-11619-2
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
ObjectiveTo compare the computed tomography (CT) images of patients with locally advanced gastric cancer (GC) before and after neoadjuvant chemotherapy (NAC) in order to identify CT features that could predict pathological response to NAC.MethodsWe included patients with locally advanced GC who underwent gastrectomy after NAC from September 2016 to September 2021. We retrieved and collected the patients' clinicopathological characteristics and CT images before and after NAC. We analyzed CT features that could differentiate responders from non-responders and established a logistic regression equation based on these features.ResultsWe included 97 patients (69 [71.1%] men; median [range] age, 60 [26-75] years) in this study, including 66 (68.0%) responders and 31 (32.0%) non-responders. No clinicopathological variable prior to treatment was significantly associated with pathological response. Out of 16 features, three features (ratio of tumor thickness reduction, ratio of reduction of primary tumor attenuation in arterial phase, and ratio of reduction of largest lymph node attenuation in venous phase) on logistic regression analysis were used to establish a regression equation that demonstrated good discrimination performance in predicting pathological response (area under receiver operating characteristic curve 0.955; 95% CI, 0.911-0.998).ConclusionLogistic regression equation based on three CT features can help predict the pathological response of patients with locally advanced GC to NAC.
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页数:8
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