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改进摇瓶变形的定量分类。

Improving the quantitative classification of Erlenmeyer flask deformities.

机构信息

Department of Radiology, University of Cambridge School of Clinical Medicine, Box 218, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.

, St. Louis, USA.

出版信息

Skeletal Radiol. 2021 Feb;50(2):361-369. doi: 10.1007/s00256-020-03561-2. Epub 2020 Jul 30.

Abstract

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.

摘要

埃尔伦梅耶尔氏烧瓶畸形是一种常见的骨骼畸形,但现有的分类系统是二元的,可能限制了其作为预测相关骨骼状况的能力。一种可量化的 3 点严重程度分类系统可以提高其在疾病中的预测潜力。比率是从 50 名戈谢病患者的感兴趣区域体积中得出的。ROI 从骨骺的远端到 2 cm 近端、2 cm 到 4 cm 和 4 cm 到 6 cm 处绘制。在这些边界处还测量了宽度。两位读者使用 3 点严重程度分类量表对这 100 根股骨进行了评分。加权 kappa 表示可靠性,单向方差分析描述了严重程度尺度上比率的差异。准确性分析允许为每个比率确定临床截止值。Pearson 相关性评估了体积和宽度与股骨基于形状的凹陷度量之间的关联。将包含 0 到 2 cm 骨干区域和 4-6 cm 骨干区域的体积比纳入最准确地区分 3 点量表上的股骨。该比率的受试者工作特征曲线表明,0.95 的区域可区分正常和轻度股骨,0.93 的区域可区分轻度和重度股骨。体积与股骨凹陷程度中度相关。提出的体积比方法是一种区分埃尔伦梅耶尔氏烧瓶畸形严重程度的客观、熟练方法,具有自动化的潜力。这可能在与畸形相关的疾病和生长骨中破骨细胞介导的建模不足中具有应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8f9/7736022/108e10bcc1c0/256_2020_3561_Fig1_HTML.jpg

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