Progressive pulmonary fibrosis: current perspectives in diagnostic imaging.

IF 2.1
BJR open Pub Date : 2025-07-24 eCollection Date: 2025-01-01 DOI:10.1093/bjro/tzaf018
Prerana Agarwal, Christopher L Schlett, Fabian Bamberg, Björn C Frye
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引用次数: 0

Abstract

A subset of patients with interstitial lung diseases (ILDs) experiences disease progression despite standard treatment protocols. Similar to idiopathic pulmonary fibrosis, the archetype of progressive fibrotic ILDs, these patients exhibit worsening clinical symptoms, declining lung function, and progressive radiological changes, often resulting in shortened survival. This progressive disease pattern is classified under the term progressive pulmonary fibrosis or progressive fibrosing ILD. Radiological imaging, particularly high-resolution computed tomography (HRCT), is integral to diagnosing ILDs and plays a critical role within multidisciplinary ILD boards. HRCT is instrumental in identifying patients at a higher risk for disease progression and may provide valuable prognostic insights. Additionally, serial imaging is essential for detecting progression over time. While visual assessment remains the primary method for evaluating disease advancement, emerging quantitative techniques, including those utilizing machine learning, are currently undergoing validation.

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Abstract Image

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进行性肺纤维化:诊断影像学的最新观点。
尽管有标准的治疗方案,但有一部分间质性肺疾病(ild)患者仍会出现疾病进展。与特发性肺纤维化(进行性纤维化ild的原型)类似,这些患者表现出临床症状恶化、肺功能下降和进行性影像学改变,通常导致生存期缩短。这种进行性疾病模式被归类为进行性肺纤维化或进行性纤维化性肺间质性肺病。放射成像,特别是高分辨率计算机断层扫描(HRCT),是诊断ILD不可或缺的一部分,在多学科ILD委员会中发挥着关键作用。HRCT有助于识别疾病进展风险较高的患者,并可能提供有价值的预后见解。此外,连续成像对于检测病情进展至关重要。虽然视觉评估仍然是评估疾病进展的主要方法,但新兴的定量技术,包括那些利用机器学习的技术,目前正在进行验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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