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

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

Correspondence: Ruisheng Guan, Department of Orthopaedic Center, Xinjiang Production and Construction Corps Hospital, No. 232 Qingnian Road, Tianshan District, Urumqi, Xinjiang Uygur Autonomous Region, 830002, People’s Republic of China, Tel +86 13999115337, Email guanrs3290@163.com

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 (P < 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.

Keywords: pelvic, fracture, bone density, CT scans, postmenopausal osteoporoses