Dalian Medical University.
Ultrasound Department of the First Affiliated Hospital of Dalian Medical University, Dalian, China.
Medicine (Baltimore). 2021 Jan 29;100(4):e23635. doi: 10.1097/MD.0000000000023635.
As a novel ultrasound technique, superb microvascular imaging (SMI) can quickly, simply, and noninvasively study the microvascular distribution in the tumor and evaluate the microvascular perfusion. Studies suggested that SMI is helpful for the differentiation between benign and malignant parotid tumors. However, the results of these studies have been contradictory. Therefore, the present meta-analysis aimed at determining the accuracy of SMI in the differential diagnosis between benign and malignant parotid tumors.
We will search PubMed, Web of Science, Cochrane Library, and Chinese biomedical databases from their inceptions to September 30, 2020, without language restrictions. Two authors will independently carry out searching literature records, scanning titles and abstracts, full texts, collecting data, and assessing risk of bias. Review Manager 5.2 and Stata14.0 software will be used for data analysis.
This systematic review will determine the accuracy of SMI in the differential diagnosis between benign and malignant parotid tumors.
Its findings will provide helpful evidence for the accuracy of SMI in the differential diagnosis between benign and malignant parotid tumors.
INPLASY2020100093.
作为一种新型的超声技术，超微血流成像（SMI）可以快速、简单、无创地研究肿瘤中的微血管分布，并评估微血管灌注。研究表明，SMI 有助于鉴别腮腺良恶性肿瘤。然而，这些研究的结果存在矛盾。因此，本荟萃分析旨在确定 SMI 在鉴别腮腺良恶性肿瘤中的准确性。
我们将从建库起至 2020 年 9 月 30 日，无语言限制地检索 PubMed、Web of Science、Cochrane 图书馆和中国生物医学数据库。两名作者将独立进行检索文献记录、扫描标题和摘要、全文、收集数据和评估偏倚风险。将使用 Review Manager 5.2 和 Stata14.0 软件进行数据分析。
本系统评价将确定 SMI 在鉴别腮腺良恶性肿瘤中的准确性。
其结果将为 SMI 在鉴别腮腺良恶性肿瘤中的准确性提供有价值的证据。
INPLASY2020100093。
