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基于CT的三维重建在分析绝经后骨质疏松性骨盆骨折女性骨折线分布中的价值

Value of CT-Based 3D Reconstruction in Analyzing Fracture Line Distribution in Postmenopausal Women with Osteoporotic Pelvic Fractures.

作者信息

Si Chunming, Bai Baolin, Cong Wei, Zhang Lipeng, Guan Ruisheng

机构信息

Department of Orthopaedic Center, Xinjiang Production and Construction Corps Hospital, Urumqi, Xinjiang, 830002, People's Republic of China.

出版信息

Int J Gen Med. 2025 May 31;18:2799-2806. doi: 10.2147/IJGM.S506333. eCollection 2025.

Abstract

OBJECTIVE

This study aimed to evaluate the application value of CT-based 3D reconstruction in analyzing the distribution of pelvic fracture lines and to identify key factors, that affect fracture patterns in postmenopausal women with osteoporotic pelvic fractures.

METHODS

A total of 150 postmenopausal female patients with osteoporotic pelvic fractures who underwent CT scans in our radiology department from June 2022 to June 2023 were included. Subjects were divided into a normal group (n=60) and a pelvic fracture group (n=90). CT-based 3D reconstruction was used to analyze the distribution of fracture lines. The correlations between fracture lines and various factors were evaluated, such as age, bone mineral density (BMD) and body mass index (BMI).

RESULTS

The results showed a significant difference in BMD between the pelvic fracture group and the normal group. The average BMD in the pelvic fracture group was 0.763 ± 0.026 g/cm², which was significantly lower than 0.925 ± 0.051 g/cm² in the normal group ( < 0.001). This finding suggests that BMD plays an important role in the risk of pelvic fractures. 3D reconstruction revealed that fractures were more widespread in low BMD regions and fewer in high BMD regions, highlighting the correlation between lower BMD and higher fracture risk.

CONCLUSION

CT-based 3D reconstruction enhances the assessment of pelvic fractures by providing a detailed evaluation of fracture line distribution. This study found that lower bone mineral density is a significant risk factor for pelvic fractures, with a direct correlation to the number and distribution of fracture lines.

摘要

目的

本研究旨在评估基于CT的三维重建在分析骨盆骨折线分布中的应用价值,并确定影响绝经后骨质疏松性骨盆骨折骨折类型的关键因素。

方法

纳入2022年6月至2023年6月在我院放射科接受CT扫描的150例绝经后骨质疏松性骨盆骨折女性患者。将受试者分为正常组(n = 60)和骨盆骨折组(n = 90)。采用基于CT的三维重建分析骨折线分布。评估骨折线与年龄、骨密度(BMD)和体重指数(BMI)等各种因素之间的相关性。

结果

结果显示骨盆骨折组与正常组的骨密度存在显著差异。骨盆骨折组的平均骨密度为0.763±0.026g/cm²,显著低于正常组的0.925±0.051g/cm²(<0.001)。这一发现表明骨密度在骨盆骨折风险中起重要作用。三维重建显示,低骨密度区域骨折更为广泛,高骨密度区域骨折较少,突出了低骨密度与高骨折风险之间的相关性。

结论

基于CT的三维重建通过对骨折线分布进行详细评估,增强了对骨盆骨折的评估。本研究发现,较低的骨密度是骨盆骨折的一个重要危险因素,与骨折线的数量和分布直接相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6bc/12135960/df424eeff463/IJGM-18-2799-g0001.jpg

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