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使用动态对比增强整合磁共振-正电子发射断层扫描预测接受放化疗的非小细胞肺癌患者的肿瘤反应和患者生存。

Predicting tumor responses and patient survival in chemoradiotherapy-treated patients with non-small-cell lung cancer using dynamic contrast-enhanced integrated magnetic resonance-positron-emission tomography.

机构信息

Department of Medical Imaging, National Taiwan University Hospital, National Taiwan University College of Medicine, No.7, Chung-Shan South Road, 100, Taipei, Taiwan.

Institute of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, Taipei, Taiwan.

出版信息

Strahlenther Onkol. 2019 Aug;195(8):707-718. doi: 10.1007/s00066-018-1418-8. Epub 2019 Jan 4.

Abstract

PURPOSE

We investigated whether radiologic parameters by dynamic contrast-enhanced (DCE) integrated magnetic resonance-positron-emission tomography (MR-PET) predicts tumor response to treatment and survival in non-metastatic non-small-cell lung cancer (NSCLC) patients receiving chemoradiotherapy (CRT).

METHODS

Patients underwent DCE integrated MR-PET imaging 1 week before CRT. The following parameters were analyzed: primary tumor size, gross tumor volume, maximal standardized uptake value (SUV), total lesion glycolysis (TLG), apparent diffusion coefficient (ADC), volume transfer constant (K), reverse reflux rate constant (k), extracellular extravascular volume fraction (v), blood plasma volume fraction (v), and initial area under the time-concentration curve defined over the first 60 s post-enhancement (iAUC). CRT responses were defined using the revised Response Evaluation Criteria in Solid Tumors (RECIST) guideline (version 1.1).

RESULTS

Thirty patients were included. Non-responders demonstrated higher baseline TLG (p = 0.012), and lower baseline K (p = 0.020) and iAUC (p = 0.016) compared to responders, indicating the usefulness of DCE integrated MR-PET to predict treatment responses. Receiver operating characteristic curve indicated that TLG has the best differentiation capability to predict responders. By setting the threshold of TLG to 277, the sensitivity, specificity, and accuracy were 66.7%, 83.3%, and 75.0%, respectively, with an area under the curve of 0.776. The median follow-up time was 19.6 (range 7.8-32.0) months. In univariate analyses, baseline TLG >277 (p = 0.005) and baseline K <254 (10 min; p = 0.015) correlated with poor survival after CRT. In multivariate analysis, baseline TLG >277 remained the significant factor in predicting progression (p = 0.012) and death (p = 0.031).

CONCLUSIONS

The radiologic parameters derived from DCE integrated MR-PET scans are useful for predicting treatment response in NSCLC patients treated with CRT; furthermore, these parameters are correlated with clinical and survival outcomes including tumor progression and death.

摘要

目的

我们研究了动态对比增强(DCE)整合磁共振-正电子发射断层扫描(MR-PET)的影像学参数是否可以预测接受放化疗(CRT)的非转移性非小细胞肺癌(NSCLC)患者的肿瘤治疗反应和生存情况。

方法

患者在 CRT 前 1 周接受 DCE 整合 MR-PET 成像。分析以下参数:原发肿瘤大小、大体肿瘤体积、最大标准化摄取值(SUV)、总病变糖酵解(TLG)、表观扩散系数(ADC)、容积转移常数(K)、反向回流率常数(k)、细胞外细胞外体积分数(v)、血浆体积分数(v)和增强后 60 秒内初始时间-浓度曲线下面积(iAUC)。根据实体瘤反应评估标准(RECIST)1.1 版对 CRT 反应进行定义。

结果

共纳入 30 例患者。与有效组相比,无反应者的基线 TLG 更高(p=0.012),基线 K 和 iAUC 更低(p=0.020 和 p=0.016),表明 DCE 整合 MR-PET 可用于预测治疗反应。ROC 曲线表明 TLG 具有最佳的区分能力以预测反应者。将 TLG 阈值设定为 277 时,灵敏度、特异性和准确性分别为 66.7%、83.3%和 75.0%,曲线下面积为 0.776。中位随访时间为 19.6 个月(范围 7.8-32.0)。在单因素分析中,基线 TLG>277(p=0.005)和基线 K<254(10 分钟;p=0.015)与 CRT 后生存不良相关。在多因素分析中,基线 TLG>277 仍然是预测进展(p=0.012)和死亡(p=0.031)的显著因素。

结论

DCE 整合 MR-PET 扫描获得的影像学参数可用于预测接受 CRT 的 NSCLC 患者的治疗反应;此外,这些参数与包括肿瘤进展和死亡在内的临床和生存结果相关。

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