Application of magnetic resonance imaging FLAIR-FS in the diagnosis of early knee synovitis
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目的 分析磁共振(MRI)脂肪抑制液体衰减反转恢复(FLAIR-FS)序列成像在早期膝关节滑膜炎(KS)诊断中的应用价值。 方法 回顾性抽取2020年1月至2021年5月南阳市中心医院收治的早期KS患者126例，均行MRI FLAIR-FS序列和脂肪抑制质子密度加权(PDWI-FS)序列扫描。比较两种检查序列滑膜评分诊断情况和一致性、滑膜厚度与FLAIR-FS评分的相关性、FLAIR-FS序列滑膜分级和厚度测量的可重复评估性。 结果 PDWI-FS序列滑膜评分以1～2分为主，FLAIR-FS序列滑膜评分以2～3分为主。Kappa检验结果显示，两种序列检查方法对滑膜评分加权Kappa值经比较差异有统计学意义(Kappa＝0.184，95% CI为0.079～0.288，P＝0.01)。FLAIR-FS评分3分者滑膜厚度高于1分者和2分者，差异有统计学意义(F＝1 996.78，P<0.05)。Pearson结果显示，FLAIR-FS评分与滑膜厚度呈正相关(R＝0.66，P<0.05)。FLAIR-FS序列2次滑膜分级评估的一致性一般(Kappa＝0.375)，滑膜厚度测量相关系数为0.974，95%CI为0.942～0.996。 结论 MRI FLAIR-FS序列成像应用于早期KS诊断中，可有效测定滑膜厚度、滑膜评分，为临床诊断提供影像信息支持。 Objective To analyze the application of magnetic resonance imaging (MRI) fluid-attenuated inversion recovery sequence with fat suppression (FLAIR-FS) in the diagnosis of early knee synovitis (KS). Methods A total of 126 patients with early KS admitted to Nanyang Central Hospital from January 2020 to May 2021 were retrospectively selected, and all of them underwent MRI FLAIR-FS and proton density-weighted imaging fat-saturated (PDWI-FS) examination. The diagnosis and consistency of synovial scores between the two examination methods were compared. The correlation between synovial thickness and FLAIR-FS score was analyzed, and the reproducible evaluation of FLAIR-FS in synovial grading and thickness measurement was analyzed. Results The synovial score assessed by PDWI-FS in the 126 patients were mainly 1-2, and the synovial score assessed by FLAIR-FS were mainly 2-3. Results of Kappa test showed that there was a statistically significant difference between the two sequence examination methods in the weighted Kappa value of synovial score (Kappa=0.184, 95% CI 0.079-0.288, P=0.01). The synovial thickness of patients with FLAIR-FS score 3 was thicker than that of patient with FLAIR-FS score 1 and 2 (F=1 996.78, P<0.05). The results of Pearson analysis showed that FLAIR-FS score was positively correlated with synovial thickness (R=0.66, P<0.05). The consistency of the two synovial grading evaluated by FLAIR-FS sequence was general (Kappa=0.375), and the correlation coefficient of synovial thickness was 0.974, and the 95% CI was 0.942-0.996. Conclusions MRI FLAIR-FS can effectively measure synovial thickness and synovial score in the diagnosis of early KS, and provide image information for clinical diagnosis.
Objective To analyze the application of magnetic resonance imaging (MRI) fluid-attenuated inversion recovery sequence with fat suppression (FLAIR-FS) in the diagnosis of early knee synovitis (KS). Methods A total of 126 patients with early KS admitted to Nanyang Central Hospital from January 2020 to May 2021 were retrospectively selected, and all of them underwent MRI FLAIR-FS and proton density-weighted imaging fat-saturated (PDWI-FS) examination. The diagnosis and consistency of synovial scores between the two examination methods were compared. The correlation between synovial thickness and FLAIR-FS score was analyzed, and the reproducible evaluation of FLAIR-FS in synovial grading and thickness measurement was analyzed. Results The synovial score assessed by PDWI-FS in the 126 patients were mainly 1-2, and the synovial score assessed by FLAIR-FS were mainly 2-3. Results of Kappa test showed that there was a statistically significant difference between the two sequence examination methods in the weighted Kappa value of synovial score (Kappa=0.184, 95% CI 0.079-0.288, P=0.01). The synovial thickness of patients with FLAIR-FS score 3 was thicker than that of patient with FLAIR-FS score 1 and 2 (F=1 996.78, P<0.05). The results of Pearson analysis showed that FLAIR-FS score was positively correlated with synovial thickness (R=0.66, P<0.05). The consistency of the two synovial grading evaluated by FLAIR-FS sequence was general (Kappa=0.375), and the correlation coefficient of synovial thickness was 0.974, and the 95% CI was 0.942-0.996. Conclusions MRI FLAIR-FS can effectively measure synovial thickness and synovial score in the diagnosis of early KS, and provide image information for clinical diagnosis.
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