Morphomics Analysis Group, University of Michigan, Ann Arbor, Michigan, USA.
J Anat. 2024 May;244(5):792-802. doi: 10.1111/joa.13999. Epub 2024 Jan 10.
Rib fractures remain the most frequent thoracic injury in motor vehicle crashes. Computational human body models (HBMs) can be used to simulate these injuries and design mitigation strategies, but they require adequately detailed geometry to replicate such fractures. Due to a lack of rib cross-sectional shape data availability, most commercial HBMs use highly simplified rib sections extracted from a single individual during original HBM development. This study provides human rib shape data collected from chest CT scans of 240 females and males across the full adult age range. A cortical bone mapping algorithm extracted cross-sectional geometry from scans in terms of local periosteal position with respect to the central rib axis and local cortex thickness. Principal component analysis was used to reduce the dimensionality of these cross-sectional shape data. Linear regression found significant associations between principal component scores and subject demographics (sex, age, height, and weight) at all rib levels, and predicted scores were used to explore the expected rib cross-sectional shapes across a wide range of subject demographics. The resulting detailed rib cross-sectional shapes were quantified in terms of their total cross-sectional area and their cortical bone cross-sectional area. Average-sized female ribs were smaller in total cross-sectional area than average-sized male ribs by between 20% and 36% across the rib cage, with the greatest differences seen in the central portions of rib 6. This trend persisted although to smaller differences of 14%-29% when comparing females and males of equal intermediate weight and stature. Cortical bone cross-sectional areas were up to 18% smaller in females than males of equivalent height and weight but also reached parity in certain regions of the rib cage. Increased age from 25 to 80 years was associated with reductions in cortical bone cross-sectional area (up to 37% in females and 26% in males at mid-rib levels). Total cross-sectional area was also seen to reduce with age in females but to a lesser degree (of up to 17% in mid-rib regions). Similar regions saw marginal increases in total cross-sectional area for male ribs, indicating age affects rib cortex thickness moreso than overall rib cross-sectional size. Increased subject height was associated with increased rib total and cortical bone cross-sectional areas by approximately 25% and 15% increases, respectively, in mid-rib sections for a given 30 cm increase in height, although the magnitudes of these associations varied by sex and rib location. Increased weight was associated with approximately equal changes in both cortical bone and total cross-sectional areas in males. These effects were most prominent (around 25% increases for an addition of 50 kg) toward lower ribs in the rib cage and had only modest effects (less than 12% change) in ribs 2-4. Females saw greater increases with weight in total rib area compared to cortical bone area, of up to 21% at the eighth rib level. Results from this study show the expected shapes of rib cross-sections across the adult rib cage and across a broad range of demographics. This detailed geometry can be used to produce accurate rib models representing widely varying populations.
肋骨骨折仍然是机动车事故中最常见的胸部损伤。计算人体模型(HBM)可用于模拟这些损伤并设计缓解策略,但它们需要足够详细的几何形状来复制这些骨折。由于缺乏肋骨横截面积数据,大多数商业 HBM 使用在原始 HBM 开发过程中从单个个体提取的高度简化的肋骨部分。本研究提供了从 240 名男女整个成年年龄范围的胸部 CT 扫描中收集的人体肋骨形状数据。皮质骨映射算法根据相对于中央肋骨轴的局部骨膜位置和局部皮质厚度从扫描中提取横截面几何形状。主成分分析用于降低这些横截面形状数据的维度。线性回归发现主要成分得分与所有肋骨水平的受试者人口统计学(性别、年龄、身高和体重)之间存在显著关联,预测得分用于探索广泛的受试者人口统计学范围内的预期肋骨横截面形状。使用预测得分来探索广泛的受试者人口统计学范围内的预期肋骨横截面形状。使用预测得分来探索广泛的受试者人口统计学范围内的预期肋骨横截面形状。使用预测得分来探索广泛的受试者人口统计学范围内的预期肋骨横截面形状。所得详细肋骨横截面形状以其总横截面积及其皮质骨横截面积来量化。整个胸廓中,女性平均大小的肋骨总横截面积比男性平均大小的肋骨小 20%-36%,第 6 肋骨的中心部分差异最大。尽管当比较具有相同中间体重和身高的女性和男性时,这种趋势差异较小(14%-29%),但这种趋势仍然存在。女性的皮质骨横截面积比同等身高和体重的男性小 18%,但在某些肋骨区域也达到了同等水平。从 25 岁到 80 岁,年龄的增加与皮质骨横截面积的减少有关(女性在中肋骨水平的减少高达 37%,男性为 26%)。女性的总横截面积也随年龄的增长而减少,但程度较轻(中肋骨区域减少高达 17%)。男性肋骨的总横截面积在某些区域也出现了轻微增加,表明年龄对肋骨皮质厚度的影响大于对整个肋骨横截面积的影响。身高的增加与给定 30 厘米身高增加时中肋骨部分的肋骨总横截面积和皮质骨横截面积分别增加约 25%和 15%有关,尽管这些关联的幅度因性别和肋骨位置而异。体重的增加与男性的皮质骨和总横截面积的变化大致相等。这些影响在胸廓下部肋骨中最为明显(增加 50 公斤时增加约 25%),在 2-4 肋骨中影响较小(变化小于 12%)。与皮质骨面积相比,女性的总肋骨面积随体重的增加而增加,在第八肋骨水平增加高达 21%。本研究的结果显示了整个成年胸廓和广泛的人口统计学范围内肋骨横截面的预期形状。这种详细的几何形状可用于生成代表广泛人群的准确肋骨模型。