胸部X光筛查矽肺的诊断准确性:一项系统综述、荟萃分析和建模研究

Diagnostic accuracy of chest X-ray screening for silicosis: a systematic review, meta-analysis and modelling study

Occupational and Environmental Medicine · 2025
被引 0
ABS 3

中文导读

系统综述和荟萃分析发现,胸部X光筛查矽肺的灵敏度中等(0.76)但特异度高(0.89),与高分辨率CT相比会漏诊部分病例,且漏诊率随疾病严重程度和患病率变化。

Abstract

Chest X-ray (CXR) is widely used for silicosis diagnosis, despite concerns regarding sensitivity. We investigated the diagnostic accuracy of CXR for silicosis screening compared with CT, high-resolution CT (HRCT) and autopsy, and modelled the relationship between CXR sensitivity and disease severity. Medline, Embase, Scopus and Web of Science databases were searched on 2 July 2024 (PROSPERO registration: CRD42024513830). Meta-analyses were performed by reference standard and at increasing reference test severity cut-offs. The Quality Assessment of Diagnostic Accuracy Studies-2 tool assessed risk of bias. In scenarios of fixed and relative sensitivity, according to disease severity, we estimated missed silicosis cases and the number needed to screen (NNS) in hypothetical populations of low (5%), medium (15%) and high (30%) silicosis prevalence. Twenty studies included 2156 participants and 1105 silicosis cases. CXR had moderate sensitivity (0.76; 95% CI 0.63 to 0.86, I 2 =84%) and high specificity (0.89, 95% CI 0.77 to 0.95, I 2 =57%) compared with HRCT in 12 studies, and low sensitivity (0.50, 95% CI 0.45 to 0.55, I 2 =0%) and high specificity (0.91, 95% CI 0.87 to 0.93, I 2 =20%) compared with autopsy in two studies. CXR sensitivity increased with higher reference test severity cut-offs. Clinically relevant numbers of cases were missed in fixed and relative sensitivity scenarios; increased prevalence and less severe disease resulted in more missed cases and a lower NNS. Silicosis severity and reference test type both plausibly influence CXR sensitivity. Assuming either fixed or relative sensitivity results in missed silicosis cases. Judicious HRCT screening is likely to improve case detection.

矽肺诊断准确性胸部X光系统综述荟萃分析