磁共振成像在恶性肺结节检测中的作用:系统回顾和荟萃分析

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目的是评估胸部MRT与CT检测肺结节的可能性,怀疑有恶性肿瘤。

材料与方法。截至 2021 年 4 月 7 日(含) 进行了 PubMed 和 Google Scholar 数据库 根据资格标准,选择了评估 MRI 和 CT 识别可疑恶性肺淋巴结能力的研究。 分析方法的选择和敏感性和特异性数据的分组是根据评估研究异质性的结果进行的。 为了评估荟萃分析中包括的研究的统计异质性,使用了 Pearson χ2 拟合检验和 I2 异质性指数。

结果。根据检索结果,筛选出 168 项研究,21 项研究纳入荟萃分析。 入选作品包括 1188 名患者。 根据 χ2 标准和异质性指数 I2 = 99% 的敏感性和特异性,荟萃分析显示存在统计学上显着的异质性 p <0.00001。 对此,采用随机效应的方法对数据进行分析。 MRT 的灵敏度值范围从 70.4 到 100%,特异性 - 从 60.6 到 100%。

结论。因此,MRI 具有足够的敏感性和特异性来确定 CT 诊断中发现的肺淋巴结的恶性程度。

作者简介

Yuriy A. Vasilev

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of Moscow Health Care; City Clinical Oncological Hospital No. 1

Email: dr.vasilev@me.com
ORCID iD: 0000-0002-0208-5218
SPIN 代码: 4458-5608

MD, Cand. Sci. (Med)

俄罗斯联邦, 24/1 Petrovka str., 127051, Moscow; Moscow

Olga Y. Panina

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of Moscow Health Care; City Clinical Oncological Hospital No. 1; Moscow State University of Medicine and Dentistry named after A.I. Evdokimov

Email: o.panina@npcmr.ru
ORCID iD: 0000-0002-8684-775X
SPIN 代码: 5504-8136
Scopus 作者 ID: 57219837311

Junior Scientist Researcher

俄罗斯联邦, 24/1 Petrovka str., 127051, Moscow; Moscow; 20, p. 1, Delegatskaya str., Moscow, 127473

Evgeniia A. Grik

Moscow State University of Medicine and Dentistry named after A.I. Evdokimov

Email: evgeniyagrik@gmail.com
ORCID iD: 0000-0002-7908-3982
SPIN 代码: 5558-7307

MD

俄罗斯联邦, 20/1, Delegatskaya str., Moscow, 127473

Kate S. Akhmad

Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of Moscow Health Care

Email: e.ahmad@npcmr.ru
ORCID iD: 0000-0002-8235-9361
SPIN 代码: 5891-4384
俄罗斯联邦, 24/1, Petrovka street,127051 Moscow

Yulia N. Vasileva

Moscow State University of Medicine and Dentistry named after A.I. Evdokimov

编辑信件的主要联系方式.
Email: drugya@yandex.ru
ORCID iD: 0000-0003-4955-2749
SPIN 代码: 9777-2067

MD, Cand. Sci. (Med.)

俄罗斯联邦, 20/1, Delegatskaya str., Moscow, 127473

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补充文件

附件文件
动作
1. JATS XML
2. 图 3特异性(a)和敏感性(b)分组数据的森林图[40]。注意:SMD (standardized mean difference) ― 标准化平均差;CI (confidence interval) ― 置信区间。

下载 (1MB)
3. 图 1研究选择过程概述 (flow diagram)。

下载 (155KB)
4. 图 2偏差风险直方图

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版权所有 © Vasilev Y.A., Panina O.Y., Grik E.A., Akhmad K.S., Vasileva Y.N., 2021

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