Michael Reese Foundation Center for Health Equity Research, Rosalind Franklin University of Medicine and Science, 3333 Green Bay Road, North Chicago, IL, 60064, USA.
Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, 60612, USA.
Sci Rep. 2024 Apr 19;14(1):9038. doi: 10.1038/s41598-024-59194-1.
The Mini-Mental State Examination (MMSE) is a widely employed screening tool for the severity of cognitive impairment. Among the MMSE items, the pentagon copying test (PCT) requires participants to accurately replicate a sample of two interlocking pentagons. While the PCT is traditionally scored on a binary scale, there have been limited developments of granular scoring scale to assess task performance. In this paper, we present a novel three-stage algorithm, called Quantification of Interlocking Pentagons (QIP) which quantifies PCT performance by computing the areas of individual pentagons and their intersection areas, and a balance ratio between the areas of the two individual pentagons. The three stages of the QIP algorithm include: (1) detection of line segments, (2) unraveling of the interlocking pentagons, and (3) quantification of areas. A set of 497 PCTs from 84 participants including their baseline and follow-up PCTs from the Rush Memory and Aging Project was selected blinded about their cognitive and clinical status. Analysis of the quantified data revealed a significant inverse relationship between age and balance ratio (beta = - 0.49, p = 0.0033), indicating that older age was associated with a smaller balance ratio. In addition, balance ratio was associated with perceptual speed (r = 0.71, p = 0.0135), vascular risk factors (beta = - 3.96, p = 0.0269), and medical conditions (beta = - 2.78, p = 0.0389). The QIP algorithm can serve as a useful tool for enhancing the scoring of performance in the PCT.
简易精神状态检查(MMSE)是一种广泛用于评估认知障碍严重程度的筛查工具。在 MMSE 项目中,五边形复制测试(PCT)要求参与者准确复制两个互锁五边形的样本。虽然 PCT 传统上采用二进制评分,但评估任务表现的粒度评分量表的开发有限。在本文中,我们提出了一种新颖的三阶段算法,称为互锁五边形量化(QIP),该算法通过计算单个五边形及其相交区域的面积以及两个单个五边形之间的面积比来量化 PCT 表现。QIP 算法的三个阶段包括:(1)线段检测,(2)互锁五边形的展开,以及(3)面积的量化。从 Rush 记忆和衰老项目中选择了 84 名参与者的 497 个 PCT,包括他们的基线和随访 PCT,对他们的认知和临床状况进行了盲法评估。对量化数据的分析表明,年龄与平衡比呈显著负相关(β=−0.49,p=0.0033),表明年龄越大,平衡比越小。此外,平衡比与知觉速度(r=0.71,p=0.0135)、血管危险因素(β=−3.96,p=0.0269)和医疗状况(β=−2.78,p=0.0389)相关。QIP 算法可以作为增强 PCT 表现评分的有用工具。