Suppr超能文献

部分切除的脑胶质瘤:液体衰减反转恢复磁共振成像检测进展的诊断性能。

Partially resected gliomas: diagnostic performance of fluid-attenuated inversion recovery MR imaging for detection of progression.

机构信息

Departments of Radiology and Biostatistics, German Cancer Research Center, Heidelberg, Germany.

出版信息

Radiology. 2010 Mar;254(3):907-16. doi: 10.1148/radiol09090893.

Abstract

PURPOSE

To assess whether signal intensity (SI) different from that of cerebrospinal fluid (CSF) within the resection cavity during follow-up helps predict tumor progression in partially resected gliomas.

MATERIALS AND METHODS

This retrospective study had local institutional review board approval, with waiver of informed consent. Seventy-five patients with partially resected and irradiated gliomas were evaluated. SI within the resection cavity on fluid-attenuated inversion recovery (FLAIR) magnetic resonance (MR) images was qualitatively and quantitatively assessed during follow-up. Qualitative analysis comprised visual comparison of SI in the resection cavity with SI of normal CSF by two readers. SI of the cavity was quantitatively assessed with region-of-interest (ROI) analysis normalized to background noise, contralateral healthy white matter, and CSF. Normalized SI during follow-up was compared with SI immediately after resection. Tumor progression was defined as increase in longest glioma diameter of at least 20% (Response Evaluation Criteria in Solid Tumors). Sensitivity and specificity of elevated SI in resection cavities for predicting or indicating tumor progression were calculated. Wilcoxon rank-sum test, Hodges-Lehman estimates, Kaplan-Meier curves, and linear mixed-effect models for repeated-measures data were used for quantitative SI measurements.

RESULTS

Tumor progression at MR was seen in 44 patients (59%), and median progression-free survival was 4.1 years. Qualitative analysis showed that 25 of 44 patients with progression (57%) had SI increase in the resection cavity on FLAIR images. In 10 patients with progression (23%), SI increase was seen a mean of 5 months +/- 3 (standard deviation) before tumor size progression. In 15 patients with progression (34%), SI increase and tumor size progression were detected on the same MR study. In 19 patients with progressing glioma (43%), no SI increase was observed qualitatively. Among 31 patients without progression during follow-up (41%), no SI increase could be observed. Quantitative analysis showed no significant differences in ROI ratios at baseline (after surgery) between progressing and nonprogressing tumors, whereas significant differences in change of ROI ratios at the last measurement could be detected. Overall, SI increase on FLAIR images had specificity of 100% (95% confidence interval [CI]: 91%, 100%) and sensitivity of 57% (95% CI: 42%, 71%) for glioma progression.

CONCLUSION

In partially resected gliomas, encapsulation of resection cavity, presumably by tumor cells, manifests as SI increase on FLAIR images and indicates tumor progression with very high specificity. (c) RSNA, 2010.

摘要

目的

评估在部分切除和放疗后的随访中,切除腔中与脑脊液(CSF)信号强度不同是否有助于预测部分切除的胶质瘤的肿瘤进展。

材料和方法

本回顾性研究获得了当地机构审查委员会的批准,并豁免了知情同意。评估了 75 名部分切除和放疗后的胶质瘤患者。在随访期间,通过两位读者对液体衰减反转恢复(FLAIR)磁共振(MR)图像上的切除腔中的信号强度进行定性和定量评估。定性分析包括通过两位读者的视觉比较来比较切除腔中的信号强度与正常 CSF 的信号强度。通过感兴趣区域(ROI)分析来定量评估腔的信号强度,并与背景噪声、对侧健康白质和 CSF 进行归一化。将随访期间的标准化信号强度与切除后立即的信号强度进行比较。肿瘤进展定义为最长胶质瘤直径增加至少 20%(实体瘤反应评价标准)。计算了升高的切除腔中的信号强度对预测或指示肿瘤进展的敏感性和特异性。Wilcoxon 秩和检验、Hodges-Lehman 估计、Kaplan-Meier 曲线和用于重复测量数据的线性混合效应模型用于定量 SI 测量。

结果

在 44 名患者(59%)的 MR 中观察到肿瘤进展,中位无进展生存期为 4.1 年。定性分析显示,44 名进展患者中有 25 名(57%)在 FLAIR 图像上的切除腔中出现信号强度增加。在 10 名进展患者(23%)中,在肿瘤大小进展前平均 5 个月 +/- 3(标准差)出现信号强度增加。在 15 名进展患者(34%)中,在同一 MR 研究中检测到信号强度增加和肿瘤大小进展。在 19 名进展性胶质瘤患者(43%)中,定性上未观察到信号强度增加。在 31 名无进展随访患者(41%)中,未观察到信号强度增加。定量分析显示,在进展和非进展肿瘤之间,基线(手术后)的 ROI 比值没有显著差异,而在最后一次测量时的 ROI 比值变化有显著差异。总体而言,FLAIR 图像上的信号强度增加对肿瘤进展的特异性为 100%(95%置信区间 [CI]:91%,100%),敏感性为 57%(95% CI:42%,71%)。

结论

在部分切除的胶质瘤中,切除腔的包裹,推测是由肿瘤细胞引起的,表现为 FLAIR 图像上的信号强度增加,并具有非常高的特异性提示肿瘤进展。(c)RSNA,2010。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验