用于儿科门静脉评估的手持式超声波。

Ulrich Kaiser, Fabian Kück, Christian Stroszczynski, Ernst Michael Jung, Barbara Greiner
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引用次数: 0

摘要

目的方法:使用 HUD 和推车式高端超声系统 (HEUS) 对 45 名患者(3.9 个月-17.9 岁;10.3 岁±5.4)进行检查。使用 B 型和彩色编码多普勒超声(CCDS)扫描肝内外静脉。采用李克特五点量表评估图像质量。结果由两名读者在达成共识的基础上进行解读。对不同扫描仪的得分进行比较,并将其与年龄、体重指数(BMI)和皮肤到门静脉的距离(SPVD)相关联。结果:60%的 B-Mode 和 56% 的 CCDS 都达到了≥4 分(轻度或无限制)。对于 B-Mode 和 CCDS,HUD 所达到的图像质量与 SPVD 之间存在统计学意义上的显著负相关。BMI和SPVD对≥4点的影响在B型(OR = 0.191,p = 0.005;OR = 0.040,p = 0.008)和CCDS(OR = 0.209,p = 0.009;OR = 0.084,p = 0.011)的HUD和HEUS之间存在明显差异:结论:除了最深层的结构外,HUD 对儿科患者门静脉评估的图像质量足够好。与 HEUS 相比,HUD 的诊断性能较低,因为它与物体深度呈负相关。
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Handheld ultrasound for portal vein evaluation in pediatric patients.

Objective: To assess diagnostic capabilities of a modern handheld ultrasound device (HUD) for portal vein (PV) evaluation in pediatric patients and to verify if age, body mass index (BMI) and object depth correlate to imagequality.

Methods: 45 patients (3.9 months- 17.9 years; 10.3 years±5.4) were examined using a HUD and cart-based high-end ultrasound system (HEUS). The intra-and extrahepatic PV was scanned using B-Mode and Color-coded Doppler sonography (CCDS). A five-point Likert scale was applied to evaluate image quality. Results were interpreted by two readers in consensus. Scores were compared between the scanners and correlated to age, BMI and skin-to-portal-vein-distance (SPVD). The influence on image quality and the difference between the two devices were analyzed using ordinal and Bayesian logistic regression models.

Results: ≥4 points (mild or no limitations) were achieved by the HUD in 60% for B-Mode and 56% for CCDS. There was a statistically significant negative correlation between the image quality achieved by the HUD and the SPVD for B-Mode and CCDS. The effect of BMI and SPVD on having≥4 points differed significantly between the HUD and HEUS for B-Mode and for CCDS.

Conclusions: Sufficient to excellent image quality for portal vein assessment in pediatric patients was achieved by the HUD except for the most deep-lying structures. Compared to HEUS, diagnostic performance of the HUD is lower, based on a negative correlation with object depth.

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