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计算机断层扫描在单侧声带麻痹评估中的诊断产量。

Diagnostic yield of computed tomography in the evaluation of unilateral vocal fold palsy.

机构信息

Department of Otorhinolaryngology, Tan Tock Seng Hospital, Singapore.

出版信息

J Laryngol Otol. 2021 Mar;135(3):255-258. doi: 10.1017/S0022215121000463. Epub 2021 Mar 2.

DOI:10.1017/S0022215121000463
PMID:33648615
Abstract

BACKGROUND

There is a paucity of Asian-based data regarding the diagnostic yield of computed tomography imaging in the initial assessment of idiopathic unilateral vocal fold palsy.

OBJECTIVES

To investigate the diagnostic yield of computed tomography in idiopathic unilateral vocal fold palsy cases in an Asian tertiary hospital, and to determine the causative pathologies and positive predictive factors.

METHOD

A retrospective chart review was conducted of patients (between 2010 and 2018) with a clinical diagnosis of idiopathic unilateral vocal fold palsy who underwent contrast-enhanced computed tomography of the neck and chest at Tan Tock Seng Hospital, Singapore.

RESULTS

The overall computed tomography diagnostic yield was 21 per cent, with malignancy accounting for 63.6 per cent of diagnoses. Degree of vocal fold weakness was the only significant predictor of positive computed tomography findings (11.5 per cent in vocal fold paresis vs 29.1 per cent in vocal fold paralysis, p = 0.025). None of the patients with negative computed tomography findings went on to develop disease after a mean follow up of 14.3 months.

CONCLUSION

Computed tomography is a useful initial investigation for idiopathic unilateral vocal fold palsy, particularly in cases with vocal fold paralysis.

摘要

背景

亚洲地区针对特发性单侧声带麻痹患者的初始评估中,计算机断层扫描成像的诊断率数据较为匮乏。

目的

旨在调查亚洲某家三级医院中特发性单侧声带麻痹患者行计算机断层扫描的诊断率,并确定病因病理和阳性预测因素。

方法

对新加坡陈笃生医院(Tan Tock Seng Hospital)于 2010 年至 2018 年间接受颈部和胸部增强计算机断层扫描的特发性单侧声带麻痹患者的临床病历进行了回顾性图表审查。

结果

总体计算机断层扫描诊断率为 21%,恶性肿瘤占诊断结果的 63.6%。声带麻痹程度是唯一有统计学意义的阳性计算机断层扫描结果预测因素(声带无力 11.5% vs 声带瘫痪 29.1%,p=0.025)。在平均随访 14.3 个月后,所有阴性计算机断层扫描结果的患者均未出现疾病进展。

结论

计算机断层扫描是特发性单侧声带麻痹的一种有用的初始检查方法,特别是对于声带瘫痪的患者。

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