Fiocco Ugo, Stramare Roberto, Martini Veronica, Coran Alessandro, Caso Francesco, Costa Luisa, Felicetti Mara, Rizzo Gaia, Tonietto Matteo, Scanu Anna, Oliviero Francesca, Raffeiner Bernd, Vezzù Maristella, Lunardi Francesca, Scarpa Raffaele, Sacerdoti David, Rubaltelli Leopoldo, Punzi Leonardo, Doria Andrea, Grisan Enrico
Rheumatology Unit, Department of Medicine, University of Padova, Via Giustiniani, 2, 35128, Padova, Italy.
Section of Radiology, Department of Medicine, University of Padova, Via Giustiniani, 2, 35128, Padova, Italy.
Clin Rheumatol. 2017 Feb;36(2):391-399. doi: 10.1007/s10067-016-3500-x. Epub 2016 Dec 20.
To develop quantitative imaging biomarkers of synovial tissue perfusion by pixel-based contrast-enhanced ultrasound (CEUS), we studied the relationship between CEUS synovial vascular perfusion and the frequencies of pathogenic T helper (Th)-17 cells in psoriatic arthritis (PsA) joints. Eight consecutive patients with PsA were enrolled in this study. Gray scale CEUS evaluation was performed on the same joint immediately after joint aspiration, by automatic assessment perfusion data, using a new quantification approach of pixel-based analysis and the gamma-variate model. The set of perfusional parameters considered by the time intensity curve includes the maximum value (peak) of the signal intensity curve, the blood volume index or area under the curve, (BVI, AUC) and the contrast mean transit time (MTT). The direct ex vivo analysis of the frequencies of SF IL17A-FCD161IL23 CD4 T cells subsets were quantified by fluorescence-activated cell sorter (FACS). In cross-sectional analyses, when tested for multiple comparison setting, a false discovery rate at 10%, a common pattern of correlations between CEUS Peak, AUC (BVI) and MTT parameters with the IL17A-FIL23 - IL17A-FCD161 - and IL17A-FCD161IL23 CD4 T cells subsets, as well as lack of correlation between both peak and AUC values and both CD4T and CD4IL23 T cells, was observed. The pixel-based CEUS assessment is a truly measure synovial inflammation, as a useful tool to develop quantitative imaging biomarker for monitoring target therapeutics in PsA.
为了通过基于像素的对比增强超声（CEUS）开发滑膜组织灌注的定量成像生物标志物，我们研究了CEUS滑膜血管灌注与银屑病关节炎（PsA）关节中致病性辅助性T（Th）-17细胞频率之间的关系。本研究纳入了连续8例PsA患者。在关节抽吸后立即对同一关节进行灰阶CEUS评估，通过自动评估灌注数据，采用基于像素分析的新量化方法和伽马变量模型。时间强度曲线所考虑的灌注参数集包括信号强度曲线的最大值（峰值）、血容量指数或曲线下面积（BVI，AUC）以及对比剂平均通过时间（MTT）。通过荧光激活细胞分选仪（FACS）对SF IL17A-FCD161IL23 CD4 T细胞亚群的频率进行直接离体分析定量。在横断面分析中，在进行多重比较设置测试时，观察到CEUS峰值、AUC（BVI）和MTT参数与IL17A-FIL23 - IL17A-FCD161 - 以及IL17A-FCD161IL23 CD4 T细胞亚群之间存在常见的相关模式，且峰值和AUC值与CD4T和CD4IL23 T细胞之间均无相关性，错误发现率为10%。基于像素的CEUS评估是一种真正测量滑膜炎症的方法，可作为开发用于监测PsA中靶向治疗的定量成像生物标志物的有用工具。
