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脑肿瘤放疗后放射性脑坏死的放射学诊断:系统评价。

Radiological diagnosis of brain radiation necrosis after cranial irradiation for brain tumor: a systematic review.

机构信息

Department of Neurosurgery, Osaka Medical College, 2-7, Daigakumachi, Takatsuki, Osaka, 569-8686, Japan.

Department of Radiology, Kyoto Prefectural University of Medicine, Kyoto, Japan.

出版信息

Radiat Oncol. 2019 Feb 6;14(1):28. doi: 10.1186/s13014-019-1228-x.

Abstract

INTRODUCTION

This systematic review aims to elucidate the diagnostic accuracy of radiological examinations to distinguish between brain radiation necrosis (BRN) and tumor progression (TP).

METHODS

We divided diagnostic approaches into two categories as follows-conventional radiological imaging [computed tomography (CT) and magnetic resonance imaging (MRI): review question (RQ) 1] and nuclear medicine studies [single photon emission CT (SPECT) and positron emission tomography (PET): RQ2]-and queried. Our librarians conducted a comprehensive systematic search on PubMed, the Cochrane Library, and the Japan Medical Abstracts Society up to March 2015. We estimated summary statistics using the bivariate random effects model and performed subanalysis by dividing into tumor types-gliomas and metastatic brain tumors.

RESULTS

Of 188 and 239 records extracted from the database, we included 20 and 26 studies in the analysis for RQ1 and RQ2, respectively. In RQ1, we used gadolinium (Gd)-enhanced MRI, diffusion-weighted image, MR spectroscopy, and perfusion CT/MRI to diagnose BRN in RQ1. In RQ2, Tl-, Tc-MIBI-, and Tc-GHA-SPECT, and F-FDG-, C-MET-, F-FET-, and F-BPA-PET were used. In meta-analysis, Gd-enhanced MRI exhibited the lowest sensitivity [63%; 95% confidence interval (CI): 28-89%] and diagnostic odds ratio (DOR), and combined multiple imaging studies displayed the highest sensitivity (96%; 95% CI: 83-99%) and DOR among all imaging studies. In subanalysis for gliomas, Gd-enhanced MRI and F-FDG-PET revealed low DOR. Conversely, we observed no difference in DOR among radiological imaging in metastatic brain tumors. However, diagnostic parameters and study subjects often differed among the same imaging studies. All studies enrolled a small number of patients, and only 10 were prospective studies without randomization.

CONCLUSIONS

Differentiating BRN from TP using Gd-enhanced MRI and F-FDG-PET is challenging for patients with glioma. Conversely, BRN could be diagnosed by any radiological imaging in metastatic brain tumors. This review suggests that combined multiparametric imaging, including lesional metabolism and blood flow, could enhance diagnostic accuracy, compared with a single imaging study. Nevertheless, a substantial risk of bias and indirectness of reviewed studies hindered drawing firm conclusion about the best imaging technique for diagnosing BRN.

摘要

简介

本系统评价旨在阐明放射学检查在鉴别脑放射性坏死(BRN)与肿瘤进展(TP)方面的诊断准确性。

方法

我们将诊断方法分为两类:常规影像学检查(计算机断层扫描[CT]和磁共振成像[MRI]:问题 1[RQ1])和核医学研究(单光子发射计算机断层扫描[SPECT]和正电子发射断层扫描[PET]:问题 2[RQ2]),并进行查询。我们的图书管理员在 2015 年 3 月前在 PubMed、Cochrane 图书馆和日本医学文摘协会进行了全面的系统检索。我们使用双变量随机效应模型估计汇总统计数据,并通过肿瘤类型(胶质瘤和转移性脑肿瘤)进行亚分析。

结果

从数据库中提取的 188 条和 239 条记录中,我们分别纳入了 RQ1 和 RQ2 分析的 20 项和 26 项研究。在 RQ1 中,我们使用钆增强 MRI、弥散加权成像、磁共振波谱和灌注 CT/MRI 来诊断 RQ1 中的 BRN。在 RQ2 中,使用 Tl-、Tc-MIBI-、Tc-GHA-SPECT 和 F-FDG-、C-MET-、F-FET-、F-BPA-PET。在荟萃分析中,钆增强 MRI 显示出最低的敏感性[63%;95%置信区间(CI):28-89%]和诊断比值比(DOR),而联合多项影像学研究显示出最高的敏感性(96%;95%CI:83-99%)和所有影像学研究中的 DOR。在针对胶质瘤的亚分析中,钆增强 MRI 和 F-FDG-PET 显示出较低的 DOR。相反,我们观察到转移性脑肿瘤的影像学检查之间的 DOR 没有差异。然而,相同的影像学研究中,诊断参数和研究对象往往不同。所有研究纳入的患者数量较少,只有 10 项为前瞻性研究,无随机分组。

结论

对于胶质瘤患者,使用钆增强 MRI 和 F-FDG-PET 区分 BRN 与 TP 具有挑战性。相反,BRN 可以通过任何转移性脑肿瘤的影像学检查来诊断。本综述表明,与单一影像学研究相比,包括病变代谢和血流的联合多参数成像可以提高诊断准确性。然而,综述研究的偏倚风险和间接性妨碍了对诊断 BRN 最佳影像学技术的明确结论。

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