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Automated CT quantification methods for the assessment of interstitial lung disease in collagen vascular diseases: A systematic review

机译:胶原血管疾病评估间质肺病的自动化CT量化方法:系统审查

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摘要

Interstitial lung disease (ILD) is highly prevalent in collagen vascular diseases and reduction of ILD is an important therapeutic target. To that end, reliable quantification of pulmonary disease severity is of great significance. This study systematically reviewed the literature on automated computed tomography (CT) quantification methods for assessing ILD in collagen vascular diseases. PRISMA-DTA guidelines for systematic reviews were used and 19 original research articles up to January 2018 were included based on a MEDLINE/Pubmed and Embase search. Quantitative CT methods were categorized as histogram assessment (12 studies) or pattern/texture recognition (7 studies). R-2 for correlation with visual ILD scoring ranged from 0.143 (p 0.01) to 0.687 (p 0.0001), for FVC from 0.048 (p 0.0001) to 0.504 (p 0.0001) and for DLCO from 0.015 (p= 0.61) to 0.449 (p 0.0001). Automated CT methods are independent of reader's expertise and are a promising tool in the quantification of ILD in collagen vascular disease patients.
机译:间质肺病(ILD)在胶原血管疾病中高度普遍,减少ILD是一个重要的治疗靶标。为此,可靠地量化肺病严重程度具有重要意义。本研究系统地回顾了自动计算断层扫描(CT)定量方法的文献,用于评估胶原血管疾病的ILD。 PRISMA-DTA系统评论指南使用,并根据MEDLINE / PUBMED和EMBASE搜索包括2018年1月的19篇原始研究文章。定量CT方法被分类为直方图评估(12项研究)或模式/纹理识别(7项研究)。 R-2与视觉ILD刻痕的相关性范围为0.143(P <0.01)至0.687(P <0.0001),FVC为0.048(P <0.0001)至0.504(P <0.0001),为0.015的DLCO (p = 0.61)至0.449(p <0.0001)。自动化CT方法独立于读者的专业知识,并且是胶原蛋白血管疾病患者的ILD的量化的有希望的工具。

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