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滑膜炎症灌注成像的分形分析:一种基于评估血管生成的新型成像生物标志物,用于分级炎症活动度。

Fractal analysis of perfusion imaging in synovitis: a novel imaging biomarker for grading inflammatory activity based on assessing angiogenesis.

机构信息

Department of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany

Department of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt- Universität zu Berlin, Berlin, Germany.

出版信息

RMD Open. 2022 Feb;8(1). doi: 10.1136/rmdopen-2021-002078.

Abstract

OBJECTIVES

The mutual and intertwined dependence of inflammation and angiogenesis in synovitis is widely acknowledged. However, no clinically established tool for objective and quantitative assessment of angiogenesis is routinely available. This study establishes fractal analysis as a novel method to quantitatively assess inflammatory activity based on angiogenesis in synovitis.

METHODS

First, we established a pathophysiological framework for synovitis including fractal analysis of software perfusion phantoms, which allowed to derive explainability with a known and controllable reference standard for vascular structure. Second, we acquired MRI datasets of patients with suspected rheumatoid arthritis of the hand, and three imaging experts independently assessed synovitis analogue to Rheumatoid Arthritis MRI Scoring (RAMRIS) criteria. Finally, we performed fractal analysis of dynamic first-pass perfusion MRI in vivo to evaluate angiogenesis in relation to inflammatory activity with RAMRIS as reference standard.

RESULTS

Fractal dimension (FD) achieved highly significant discriminability for different degrees of inflammatory activity (p<0.01) in software phantoms with known ground-truth of angiogenic structure. FD indicated increasingly chaotic perfusion patterns with increasing grades of inflammatory activity (Spearman's ρ=0.94, p<0.001). In 36 clinical patients, fractal analysis quantitatively and objectively discriminated individual RAMRIS scores (p≤0.05). Area under the receiver-operating curve was 0.84 (95% CI 0.7 to 0.89) for fractal analysis when considering RAMRIS as ground-truth. Fractal analysis additionally identified angiogenesis in cases where RAMRIS underestimated inflammatory activity.

CONCLUSIONS

Based on angiogenesis and perfusion pathophysiology, fractal analysis non-invasively enables comprehensive, objective and quantitative characterisation of inflammatory angiogenesis with subjective and qualitative RAMRIS as reference standard. Further studies are required to establish the clinical value of fractal analysis for diagnosis, prognostication and therapy monitoring in inflammatory arthritis.

摘要

目的

炎症和血管生成在滑膜炎中的相互交织的依赖性是被广泛认可的。然而,目前还没有临床可用的用于客观和定量评估血管生成的标准工具。本研究建立了分形分析作为一种新的方法,根据滑膜炎中的血管生成来定量评估炎症活动。

方法

首先,我们建立了一个滑膜炎的病理生理学框架,包括软件灌注模型的分形分析,这使得我们可以根据已知的和可控的血管结构参考标准来解释分形分析的结果。其次,我们获取了疑似类风湿关节炎手部患者的 MRI 数据集,三位影像学专家独立地根据类风湿关节炎 MRI 评分(RAMRIS)标准评估滑膜炎。最后,我们对动态首过灌注 MRI 进行分形分析,以评估血管生成与 RAMRIS 作为参考标准的炎症活动之间的关系。

结果

分形维数(FD)在具有已知血管生成结构真实值的软件模型中,对不同程度的炎症活动具有高度显著的区分能力(p<0.01)。FD 表明随着炎症活动程度的增加,灌注模式变得越来越混乱(Spearman's ρ=0.94,p<0.001)。在 36 例临床患者中,分形分析定量和客观地区分了个体的 RAMRIS 评分(p≤0.05)。当将 RAMRIS 作为真实值时,分形分析的受试者工作特征曲线下面积为 0.84(95%CI 0.7 至 0.89)。分形分析还可以在 RAMRIS 低估炎症活动的情况下识别血管生成。

结论

基于血管生成和灌注病理生理学,分形分析可以无创地全面、客观、定量地描述以主观和定性的 RAMRIS 作为参考标准的炎症性血管生成。需要进一步的研究来确定分形分析在炎症性关节炎的诊断、预后和治疗监测中的临床价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/097e/8845323/2a13c2bf6b08/rmdopen-2021-002078f01.jpg

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