Evaluating the response of gastric carcinomas to neoadjuvant chemotherapy using iodine concentration on spectral CT: a comparison with pathological regression
Evaluating the response of gastric carcinomas to neoadjuvant chemotherapy using iodine concentration on spectral CT: a comparison with pathological regression
复制标题
使用能谱CT上的碘浓度评估胃癌对新辅助化疗的反应：与病理回归的比较
DOI：
10.1016/j.crad.2015.06.083
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发表时间：
2015-11-01
影响因子：
2.6
通讯作者：
Sun, Y. -S.
中科院分区：
文献类型：
--
作者：
Tang, L.;Li, Z. -Y.;Sun, Y. -S.
目的：探讨使用虚拟单色光谱计算机断层扫描（CT）测定的碘浓度（IC）预测胃癌对术前新辅助化疗（NC）的反应的潜力。材料和方法：共20例患者参加了两次光谱CT检查（NC前1周和NC后2个周期）。计算NC后肿瘤厚度（%Delta CWT）和动脉期IC（%Delta IC-a）和静脉期IC（%Delta IC-v）的百分比变化，并比较不同组织病理学消退等级和缓解组。采用受试者工作特征（ROC）曲线评价上述3个参数对区分好反应（GR）和差反应（PR）的诊断效能。GR组的% DIC-a降低率高于PR组（-0.59 [-0.76，-0.20] vs-0.11 [-0.75，0.92]，p = 0.012）。GR组和PR组之间的%Delta IC-v和%Delta CWT值无显著差异（分别为p = 0.076和p = 0.779）。在响应预测中，% DIC-a、%Delta IC-v和%Delta CWT的ROC曲线下面积（AUC）值分别为0.857、0.762和0.542。识别PR的截止值是
AIM: To investigate the potential of iodine concentration (IC) determined using virtual monochromatic spectral computed tomography (CT) to predict the response of gastric carcinomas to preoperative neoadjuvant chemotherapy (NC).MATERIALS AND METHODS: A total of 20 patients were enrolled who underwent two spectral CT examinations (1 week before and two cycles after NC). The percentage change in tumour thickness (%Delta CWT) and in IC on the arterial phase (%Delta IC-a) and venous phase (%Delta IC-v) after NC were calculated and compared for different histopathological regression grades and response groups. The diagnostic efficacies to discriminate good response (GR) and poor response (PR) of the above three parameters were evaluated using receiver operating characteristic (ROC) curves.RESULTS: The decrease rate of % DIC-a for the GR group was higher than that for the PR group (-0.59 [-0.76, -0.20] versus -0.11 [-0.75, 0.92], p = 0.012). There was no significant difference in the %Delta IC-v and %Delta CWT values between the GR and PR groups (p = 0.076 and p = 0.779, respectively). The areas under the ROC curve (AUC) values were 0.857, 0.762, and 0.542 for % DIC-a, %Delta IC-v, and %Delta CWT, respectively, in the response prediction. The cut-off value for identifying PR was a decrease rate of