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基线 3D-ADC 比 2D-ADC 更能预测结直肠癌肝转移患者对治疗的反应。

Baseline 3D-ADC outperforms 2D-ADC in predicting response to treatment in patients with colorectal liver metastases.

机构信息

Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD, 21287, USA.

出版信息

Eur Radiol. 2020 Jan;30(1):291-300. doi: 10.1007/s00330-019-06289-3. Epub 2019 Jun 17.

DOI:10.1007/s00330-019-06289-3
PMID:31209620
Abstract

OBJECTIVES

To examine the value of baseline 3D-ADC and to predict short-term response to treatment in patients with hepatic colorectal metastases (CLMs).

METHODS

Liver MR images of 546 patients with CLMs (2008-2015) were reviewed retrospectively and 68 patients fulfilled inclusion criteria. Patients had received systemic chemotherapy (n = 17), hepatic trans-arterial chemoembolization or TACE (n = 34), and Y radioembolization (n = 17). Baseline (pre-treatment) 3D-ADC (volumetric) of metastatic lesions was calculated employing prototype software. RECIST 1.1 was used to assess short-term response to treatment. Prediction of response to treatment by baseline 3D-ADC and 2D-ADC (ROI-based) was also compared in all patients.

RESULTS

Partial response to treatment (minimum 30% decrease in tumor largest transverse diameter) was seen in 35.3% of patients; 41.2% with systemic chemotherapy, 32.4% with TACE, and 35.3% with Y radioembolization (p = 0.82). Median baseline 3D-ADC was significantly lower in responding than in nonresponding lesions. Area under the curve (AUC) of 3D-ADC was 0.90 in Y radioembolization patients, 0.88 in TACE patients, and 0.77 in systemic chemotherapy patients (p < 0.01). Optimal prediction was observed with the 10th percentile of ADC (1006 × 10 mm/s), yielding sensitivity and specificity of 77.4% and 91.3%, respectively. 3D-ADC outperformed 2D-ADC in predicting response to treatment (AUC; 0.86 vs. 0.71; p < 0.001).

CONCLUSION

Baseline 3D-ADC is a highly specific biomarker in predicting partial short-term response to treatment in hepatic CLMs.

KEY POINTS

• Baseline 3D-ADC is a highly specific biomarker in predicting response to different treatments in hepatic CLMs. • The prediction level of baseline ADC is better forY radioembolization than for systemic chemotherapy/TACE in hepatic CLMs. • 3D-ADC outperforms 2D-ADC in predicting short-term response to treatment in hepatic CLMs.

摘要

目的

探讨基线 3D-ADC 值在预测结直肠癌肝转移(CLMs)患者短期治疗反应中的价值。

方法

回顾性分析 2008 年至 2015 年 546 例 CLMs 患者的肝脏磁共振成像(MRI)资料,其中 68 例患者符合纳入标准。患者接受全身化疗(n=17)、肝动脉化疗栓塞(TACE)(n=34)和 Y 放射性栓塞(n=17)治疗。采用原型软件计算转移瘤的基线(治疗前)3D-ADC(体积)。采用 RECIST 1.1 评估短期治疗反应。比较所有患者基线 3D-ADC 和 2D-ADC(基于 ROI)对治疗反应的预测价值。

结果

治疗后部分缓解(肿瘤最大横径至少减少 30%)患者占 35.3%;接受全身化疗者中为 41.2%,TACE 者中为 32.4%,Y 放射性栓塞者中为 35.3%(p=0.82)。与无反应病变相比,反应性病变的基线 3D-ADC 值显著降低。Y 放射性栓塞患者的 3D-ADC 曲线下面积(AUC)为 0.90,TACE 患者为 0.88,全身化疗患者为 0.77(p<0.01)。最佳预测值为 ADC 的第 10 百分位数(1006×10mm/s),其敏感性和特异性分别为 77.4%和 91.3%。3D-ADC 在预测治疗反应方面优于 2D-ADC(AUC:0.86 比 0.71;p<0.001)。

结论

基线 3D-ADC 是预测结直肠癌肝转移短期治疗反应的高度特异性生物标志物。

关键点

  1. 基线 3D-ADC 是预测结直肠癌肝转移不同治疗方法反应的高度特异性生物标志物。

  2. 在结直肠癌肝转移中,基线 ADC 预测 Y 放射性栓塞的效果优于全身化疗/TACE。

  3. 3D-ADC 在预测结直肠癌肝转移的短期治疗反应方面优于 2D-ADC。

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