灌注CT定量分析对直肠癌放化疗后肿瘤消退分级的预测价值

Zhe Song, Wei Li, N. Jia, Xiang He, Wenyong Zhou
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引用次数: 0

摘要

目的探讨灌注CT定量分析对直肠癌放化疗后肿瘤消退分级(TRG)的预测价值。方法选取2016年6月~ 2018年6月河北省沧州市中心医院诊治的94例直肠癌患者,根据手术标本结果分为反应组(TRG 3 ~ 4)和非反应组(TRG 0 ~ 2)。两组患者治疗前均行灌注CT检查,并行放化疗及手术治疗。比较两组患者血流、血容量、平均穿越时间(MTT)、通透性表面(PS)等基线数据和灌注CT结果,并采用受试者工作特征(ROC)曲线评价灌注CT指标对放化疗反应性的预测效果。结果本组患者放化疗有效率23例(24.47%),放化疗无效71例(75.53%)。反应组血流量[(38.60±7.13)ml·100 g-1·min-1]显著低于非反应组[(67.39±11.33)ml·100 g-1·min-1, t=3.273, P=0.001]。反应组MTT明显长于非反应组[(11.12±2.19)s比(6.88±1.32)s, t=4.500, P<0.001]。血容量[(4.62±0.73)ml/100 g vs.(5.01±1.04)ml/100 g]和PS[(13.72±3.82)ml·100 g-1·min-1vs.)无显著差异。(11.40±2.59)ml·100 g-1·min-1],差异有统计学意义(t=0.818, P=0.415;t = 0.409, P = 0.683)。血流量和MTT预测放化疗反应性的最佳截断点分别为50.89 ml·100 g-1·min-1和8.99 s,曲线下面积(AUC)分别为0.825和0.922,联合预测放化疗反应性的AUC为0.982,显著优于单一预测(Z=2.868, P=0.004;Z = 2.051, P = 0.004)。联合预测放化疗反应性的准确性(91.49%)和特异性(90.14%)均显著优于单一预测(血流量:准确性75.53%,特异性73.24%;MTT:准确率79.79%,特异性78.87%),差异有统计学意义(χ2=8.800, P=0.012;χ2 = 6.766,P = 0.034)。结论灌注CT血流及MTT对直肠癌患者放化疗反应性有较好的预测价值。关键词:层析成像;直肠肿瘤;肿瘤分级;疗效评价
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Value of perfusion CT quantitative analysis for predicting tumor regression grade after chemoradiothe-rapy in patients with rectal cancer
Objective To explore the value of perfusion CT quantitative analysis for predicting tumor regression grade (TRG) after chemoradiotherapy in patients with rectal cancer. Methods From June 2016 to June 2018, 94 rectal cancer patients diagnosed and treated in Cangzhou Central Hospital of Hebei Province were selected and were divided into reaction group (TRG 3-4) and non-reaction group (TRG 0-2) according to the results of surgical specimens. Perfusion CT was performed in both groups before treatment, and chemoradiothe-rapy and surgery were used. Baseline data and perfusion CT results including blood flow, blood volume, mean transit time (MTT), permeability surface (PS) were compared between the two groups, and receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of perfusion CT indexes for chemoradiotherapy responsiveness. Results In this study, a total of 23 cases (24.47%) were responsive to chemoradiotherapy, and 71 cases (75.53%) were not responsive to chemoradiotherapy. Blood flow in reaction group [(38.60±7.13) ml·100 g-1·min-1] was significantly lower than that in non-reaction group [(67.39±11.33) ml·100 g-1·min-1, t=3.273, P=0.001]. MTT in reaction group was significantly longer than that in non-reaction group [(11.12±2.19) s vs. (6.88±1.32) s, t=4.500, P<0.001]. There was no significant difference in blood volume [(4.62±0.73) ml/100 g vs. (5.01±1.04) ml/100 g] and PS [(13.72±3.82) ml·100 g-1·min-1vs. (11.40±2.59) ml·100 g-1·min-1] between the two groups (t=0.818, P=0.415; t=0.409, P=0.683). The best cut-off points of blood flow and MTT for predicting chemoradiotherapy responsiveness were 50.89 ml·100 g-1·min-1 and 8.99 s, the area under the curve (AUC) was 0.825 and 0.922, and the AUC of combined prediction of chemoradiotherapy responsiveness was 0.982, which was significantly better than that of single prediction (Z=2.868, P=0.004; Z=2.051, P=0.004). The accuracy (91.49%) and specificity (90.14%) of combined prediction of chemoradiotherapy responsiveness were significantly better than those of single prediction (blood flow: accuracy 75.53%, specificity 73.24%; MTT: accuracy 79.79%, specificity 78.87%), and the differences were statistically significant (χ2=8.800, P=0.012; χ2=6.766, P=0.034). Conclusion Blood flow and MTT in perfusion CT have great predictive value for chemoradiotherapy responsiveness in patients with rectal cancer. Key words: Tomography; Rectal neoplasms; Neoplasm grading; Efficacy evaluation
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