Improving the quantitative classification of Erlenmeyer flask deformities.

Improving the quantitative classification of Erlenmeyer flask deformities.
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DOI:
10.1007/s00256-020-03561-2
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发表时间:
2021-03
期刊:
影响因子:
2.1
通讯作者:
GAUCHERITE Consortium
GAUCHERITE Consortium
中科院分区:
医学4区
文献类型:
--
作者:
Adusumilli G;Kaggie JD;D'Amore S;Cox TM;Deegan P;MacKay JW;McDonald S;GAUCHERITE Consortium

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Erlenmeyer烧瓶畸形是一种常见的骨骼模型畸形,但目前的分类系统是二元的,可能限制其作为相关骨骼状况的预测指标。一个可量化的3分严重程度分级系统可以提高其在疾病中的预测潜力。比率是根据50名高谢病患者的感兴趣区体积得出的。感兴趣区分别从骨盆远端至近端2 cm、2 cm~4 cm、4 cm~6 cm。宽度也在这些边界上进行了测量。两位读者使用3分严重程度分级标准对这100根股骨进行了评级。加权kappa表示可靠性,单因素方差分析表征了不同严重程度的比率差异。精确度分析允许确定每个比率的临床临界值。皮尔逊的相关性评估了体积和宽度与基于形状的股骨凹陷度量的关联。在3分标尺上,0~2 cm干骺区与4~6 cm干骺区的体积比对股骨的区分最为准确。该比率的受试者工作特征曲线显示,区分正常和轻度股骨的面积为0.95,区分轻度和重度股骨的面积为0.93。体积与股骨凹陷程度呈中度相关。所提出的体积比法是一种客观、熟练的方法,可以区分Erlenmeyer烧瓶畸形的严重程度,并具有自动化的潜力。这可能适用于与畸形和破骨细胞介导的生长骨建模缺陷相关的疾病。本文的在线版本(10.1007/s00256-020-03561-2)包含向授权用户提供的补充材料。
The Erlenmeyer flask deformity is a common skeletal modeling deformity, but current classification systems are binary and may restrict its utility as a predictor of associated skeletal conditions. A quantifiable 3-point system of severity classification could improve its predictive potential in disease. Ratios were derived from volumes of regions of interests drawn in 50 Gaucher’s disease patients. ROIs were drawn from the distal physis to 2 cm proximal, 2 cm to 4 cm, and 4 cm to 6 cm. Width was also measured at each of these boundaries. Two readers rated these 100 femurs using a 3-point scale of severity classification. Weighted kappa indicated reliability and one-way analysis of variance characterized ratio differences across the severity scale. Accuracy analyses allowed determination of clinical cutoffs for each ratio. Pearson’s correlations assessed the associations of volume and width with a shape-based concavity metric of the femur. The volume ratio incorporating the metaphyseal region from 0 to 2 cm and the diametaphyseal region at 4–6 cm was most accurate at distinguishing femurs on the 3-point scale. Receiver operating characteristic curves for this ratio indicated areas of 0.95 to distinguish normal and mild femurs and 0.93 to distinguish mild and severe femurs. Volume was moderately associated with the degree of femur concavity. The proposed volume ratio method is an objective, proficient method at distinguishing severities of the Erlenmeyer flask deformity with the potential for automation. This may have application across diseases associated with the deformity and deficient osteoclast-mediated modeling of growing bone. The online version of this article (10.1007/s00256-020-03561-2) contains supplementary material, which is available to authorized users.
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