Precision-driven imaging assessment of traumatic fractures in the era of personalized medicine
10.3760/cma.j.cn114657-20250423-00089
- VernacularTitle:精准医疗时代下创伤性骨折的影像评估
- Author:
Xuan WEI
1
;
Yeming ZHONG
;
Zigang CHE
;
Yuchen CHEN
;
Hao WANG
;
Pengfei ZHAO
Author Information
1. 东南大学医学院附属南京同仁医院影像科，南京 211102
- Publication Type:Journal Article
- Keywords:
Traumatic fracture;
Precision diagnosis;
Ultra-high resolution computed tomography;
Artificial intelligence-assisted diagnosis
- From:
Chinese Journal of Medical Aesthetics and Cosmetology
2025;31(4):343-347
- CountryChina
- Language:Chinese
-
Abstract:
Traumatic injuries represent the fifth leading cause of death in China and the primary cause of death among young adults. While facial fractures can lead to significant aesthetic and psychological consequences, fractures in the limbs and joints impair functional mobility. In traumatic incidents requiring forensic evaluation, such as traffic accidents or violent conflicts, the type and severity of fractures directly determine injury grading and disability assessment. Consequently, the accurate diagnosis of traumatic fractures is not only a critical medical issue impacting patient management and rehabilitation but also a significant social issue influencing judicial fairness. This article systematically reviews advancements in multi-modal imaging techniques. While conventional X-ray radiography remains a fundamental screening tool, it faces challenges in detecting occult fractures. Multi-slice spiral computed tomography (MSCT), utilizing 3D reconstruction, enables spatial analysis of complex fractures. Magnetic resonance imaging (MRI), with its multi-sequence capabilities, plays an indispensable role in detecting bone marrow edema and assessing concomitant soft tissue injuries. Regarding innovative technologies, dual-energy computed tomography (DECT) employs virtual non-calcium (VNC) techniques for quantitative bone marrow edema analysis; ultra-high-resolution computed tomography (U-HRCT) breaks through imaging limitations of trabecular microarchitecture with a resolution of approximately 10 μm; and 7.0 T ultra-high-field MRI, alongside MRI-based CT-like imaging techniques, advances radiation-free bone structure evaluation. Artificial intelligence (AI) models significantly enhance diagnostic efficiency in fracture detection. Future developments will focus on multi-modal image fusion, the construction of intelligent decision-support systems, and the quantitative functional assessment of bone microstructure, facilitating a paradigm shift from anatomical description to prognostic prediction and realizing the principles of personalized medicine.
