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A Novel Adhesion Index for Verifying the Extent of Adhesion for the Extensor Digitorum Communis in Patients with Metacarpal Fractures

机译:一种新的附着力指数以验证掌骨骨折患者伸指肌的黏附程度

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摘要

This study aims to determine if the relative displacement between the extensor digitorum communis (EDC) tendon and its surrounding tissues can be used as an adhesion index (AI) for assessing adhesion in metacarpal fractures by comparing two clinical measures, namely single-digit-force and extensor lag (i.e., the difference between passive extension and full active extension). The Fisher–Tippett block-matching method and a Kalman-filter algorithm were used to determine the relative displacements in 39 healthy subjects and 8 patients with metacarpal fractures. A goniometer was used to measure the extensor lag, and a force sensor was used to measure the single-digit-force. Measurements were obtained twice for each patient to evaluate the performance of the AI in assessing the progress of rehabilitation. The Pearson correlation coefficient was calculated to quantify the various correlations between the AI, extensor lag, and single-digit-force. The results showed strong correlations between the AI and the extensor lag, the AI and the single-digit-force, and the extensor lag and the single-digit-force (r = 0.718, −0.849, and −0.741; P = 0.002, P < 0.001, and P = 0.001, respectively). The AI in the patients gradually decreased after continuous rehabilitation, but remained higher than that of healthy participants.
机译:这项研究旨在通过比较两种临床措施(即单指力量)来确定指趾伸指肌腱(EDC)与其周围组织之间的相对位移是否可以用作附着力指数(AI)来评估掌骨骨折的附着力和伸肌滞后(即被动伸展和完全主动伸展之间的差异)。 Fisher-Tippett块匹配方法和卡尔曼滤波算法用于确定39例健康受试者和8例掌骨骨折患者的相对位移。测角仪用于测量伸肌滞后,力传感器用于测量单位数的力。每个患者两次获得测量值,以评估AI在评估康复进展中的表现。计算皮尔逊相关系数以量化AI,伸肌迟滞和个位数力量之间的各种相关性。结果表明,AI与伸肌滞后,AI与单位指力,伸肌滞后与单位指力之间具有很强的相关性(r = 0.718,-0.849和-0.741; P = 0.002, P <0.001,和P = 0.001)。持续康复后患者的AI逐渐降低,但仍高于健康参与者。

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