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Diagnostic Performance of Muscle Echo Intensity and Fractal Dimension for the Detection of Frailty Phenotype
Ultrasonic Imaging ( IF 2.3 ) Pub Date : 2021-07-08 , DOI: 10.1177/01617346211029656
Rebeca Mirón Mombiela 1, 2, 3 , Jelena Vucetic 1, 2, 4 , Paloma Monllor 2 , Jenny S Cárdenas-Herrán 1 , Paloma Taltavull de La Paz 5 , Consuelo Borrás 2, 6, 7
Affiliation  

To determine the relationship between muscle echo intensity (EI) and fractal dimension (FD), and the diagnostic performance of both ultrasound parameters for the identification of frailty phenotype. A retrospective interpretation of ultrasound scans from a previous cohort (November 2014–February 2015) was performed. The sample included healthy participants <60 years old, and participants ≥60 divided into robust, pre-frail, and frail groups according to Fried frailty criteria. A region of interest of the rectus femoris from the ultrasound scan was segmented, and histogram function was applied to obtain EI. For fractal analysis, images were processed using two-dimensional box-counting techniques to calculate FD. Statistical analyses were performed with diagnostic performance tests. A total of 102 participants (mean age 63 ± 16, 57 men) were evaluated. Muscle fractal dimension correlated with EI (r = .38, p < .01) and showed different pattern in the scatter plots when participants were grouped by non-frail (control + robust) and frail (pre-frail + frail). The diagnostic accuracy for EI to categorize frailty was of 0.69 (95%CI: 0.59–0.78, p = .001), with high intra-rater (ICC: 0.98, 95%CI: 0.98–0.99); p < .001) and inter-rater (ICC: 0.89, 95%CI: 0.75–0.95; p < .001) reliability and low measurement error for both parameters (EI: −0.18, LOA95%: −10.8 to 10.5; FD: 0.00, LOA95%: −0.09 to 0.10) in arbitrary units. The ROC curve combining both parameters was not better than EI alone (p = .18). Muscle FD correlated with EI and showed different patterns according to frailty phenotype, with EI outperforming FD as a possible diagnostic tool for frailty.



中文翻译:

肌肉回声强度和分形维数用于检测虚弱表型的诊断性能

确定肌肉回声强度 (EI) 和分形维数 (FD) 之间的关系,以及用于识别虚弱表型的两种超声参数的诊断性能。对先前队列(2014 年 11 月至 2015 年 2 月)的超声扫描进行了回顾性解释。样本包括<60岁的健康参与者,60岁以上的参与者根据Fried虚弱标准分为健壮组、体弱前组和虚弱组。对来自超声扫描的股直肌感兴趣区域进行分割,并应用直方图函数来获得 EI。对于分形分析,使用二维盒计数技术处理图像以计算 FD。使用诊断性能测试进行统计分析。共有 102 名参与者(平均年龄 63 ± 16,57 名男性)进行了评估。肌肉分形维数与 EI 相关(r  = .38, p  < .01) 并且当参与者按非虚弱(对照组 + 健壮)和虚弱(体弱前 + 虚弱)分组时,散点图中显示出不同的模式。EI 对虚弱进行分类的诊断准确性为 0.69 (95%CI: 0.59–0.78, p  = .001),内部评分者较高 (ICC: 0.98, 95%CI: 0.98–0.99);p  < .001)和评分者间(ICC:0.89,95%CI:0.75–0.95;p  < .001)两个参数的可靠性和低测量误差(EI:-0.18,LOA95%:-10.8 至 10.5;FD : 0.00, LOA95%: -0.09 to 0.10) 任意单位。结合这两个参数的 ROC 曲线并不优于单独的 EI ( p = .18)。肌肉 FD 与 EI 相关并根据虚弱表型显示不同的模式,EI 优于 FD 作为虚弱的可能诊断工具。

更新日期:2021-07-09
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