Suppr超能文献

彩色多普勒超声诊断视网膜脱离的敏感性、特异性及准确性

Sensitivity, Specificity, and Accuracy of Color Doppler Ultrasonography for Diagnosis of Retinal Detachment.

作者信息

Akhlaghi Mohammadreza, Zarei Masoomeh, Ziaei Majid, Pourazizi Mohsen

机构信息

Department of Ophthalmology, Isfahan Eye Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

Nafis Private Imaging Center, Isfahan, Iran.

出版信息

J Ophthalmic Vis Res. 2020 Apr 6;15(2):166-171. doi: 10.18502/jovr.v15i2.6733. eCollection 2020 Apr-Jun.

Abstract

PURPOSE

This study evaluated the sensitivity, specificity, and diagnostic accuracy of Color Doppler Ultrasonography (CDUS) in patients with suspected retinal detachment (RD) who underwent surgery.

METHODS

In this prospective, observational clinical study, 65 eyes of 65 consecutive patients with suspected RD with opaque media were included. Following a standardized protocol, CDUS of the retina of the affected eye was performed. The sensitivity, specificity, and diagnostic accuracy of CDUS were determined and compared to the findings during surgery.

RESULTS

The mean age of patients (18 men and 47 women) was 52.36 years (range: 8-77 years). The sensitivity, specificity, and overall accuracy of ocular CDUS were 91.3%, 88.1%, and 89.2%, respectively. The false-negative rate (negative CDUS images but presence of RD at operation) was 3.1% (2/65) and the false-positive rate (positive CDUS images but absence of RD at operation) was 7.7% (5/65).

CONCLUSION

CDUS of the retina could be considered as a promising tool in the diagnosis of RD in patients with opaque media.

摘要

目的

本研究评估了彩色多普勒超声检查(CDUS)对接受手术的疑似视网膜脱离(RD)患者的敏感性、特异性和诊断准确性。

方法

在这项前瞻性观察性临床研究中,纳入了65例连续的疑似RD且伴有屈光间质混浊患者的65只眼。按照标准化方案,对患眼视网膜进行CDUS检查。确定CDUS的敏感性、特异性和诊断准确性,并与手术中的发现进行比较。

结果

患者平均年龄为52.36岁(18例男性,47例女性;范围:8 - 77岁)。眼部CDUS的敏感性、特异性和总体准确性分别为91.3%、88.1%和89.2%。假阴性率(CDUS图像为阴性但手术时存在RD)为3.1%(2/65),假阳性率(CDUS图像为阳性但手术时不存在RD)为7.7%(5/65)。

结论

视网膜CDUS可被视为诊断伴有屈光间质混浊患者RD的一种有前景的工具。

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