Journal of Forensic Medicine ›› 2024, Vol. 40 ›› Issue (4): 324-329.DOI: 10.12116/j.issn.1004-5619.2023.230707

• Original Articles • Previous Articles    

Application of MSCT Image Post-Processing Techniques in the Identification of Rib Fracture Malunion

Jing-chen GE1(), Min SHANG2, Ming-yang YAO3, Ming-fei WEI1, Jun-zhan SHI1, Ze-wei YAO1,4, Jia-yin SHI2, Fan LI1()   

  1. 1.College of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang 471023, Henan Province, China
    2.Department of Radiology, Zhoushan Branch of Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang 471003, Henan Province, China
    3.Henan Jinjian Judicial Appraisal Center, Luoyang 471000, Henan Province, China
    4.Yuyao Public Security Bureau, Yuyao 315400, Zhejiang Province, China
  • Received:2023-07-19 Online:2024-11-08 Published:2024-08-25
  • Contact: Fan LI

Abstract:

Objective To compare the application value of three image post-processing techniques volume rendering (VR), multiplanar reformation (MPR) and curved planar reformation (CPR) in the identification of rib fracture malunion. Methods The types and numbers of rib fracture malunion in 75 patients were recorded, and the sensitivity, specificity, accuracy and Youden index of VR, MPR and CPR in the diagnosis of rib fracture malunion were compared. Receiver operator characteristic (ROC) curve was drawn and area under the curve (AUC) was calculated, and the detection rates of three image post-processing techniques for different types of rib fracture malunion were compared. Results A total of 243 rib fractures were malunion in 75 patients. The diagnostic sensitivity of VR, MPR and CPR for rib fracture malunion was 52.67%, 79.84% and 91.36%, the specificity was 99.58%, 97.89% and 99.15%, the accuracy was 83.66%, 91.76% and 96.51%, the Youden index was 0.52, 0.78 and 0.91, the AUC was 0.761, 0.889 and 0.953, respectively. Compared with VR, there were statistically significant differences in the number of broken rib end misalignment over 1/3, broken rib end overlap, broken rib end angulation and intercostal bridge detected in MPR (P<0.05). Compared with VR, there was a statistically significant difference in the number of different types of rib fracture malunion detected by CPR (P<0.05). Compared with MPR, there were statistically significant differences in the number of broken rib end misalignment over 1/3, broken rib end separation and intercostal bridge detected in CPR (P<0.05). Conclusion The three image post-processing techniques are of great significance for the identification of rib fracture malunion. Especially CPR is highly effective in the diagnosis of rib fracture malunion, and can be used as the main post-processing technique for forensic clinical identification of rib fracture malunion.

Key words: forensic medicine, rib fracture, malunion of fracture, volume rendering, multiplanar reformation, curved planar reformation

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