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.

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.

Objective:To improve the teaching quality of Medical Microbiology by optimizing the teaching method,adjusting the teaching content and reforming the assessment model.Methods:The students of grade 2020 and 2021 of the same major were divided into the control group and the reform group.The control group received the traditional teaching method.The reform group received the"online + offline"blended teaching method,which integrates online learning resources and ideological and political education into the theoretical content of the curriculum.And the whole process assessment system was applied to the teaching method.The teaching quality was evaluated by the whole process examination results and questionnaire survey.Results:Compared with the control group,the score in the reform group was significantly improved(P＜0.01).Results of the questionnaire survey showed that students'satisfaction with the mixed teaching method reached 97.5% .The integration of hot issues of microbiology and curriculum ideological and political education significantly improved students'learning interest,and more students wanted to engage in the work of microbiology related fields in the future.Conclusion:The practice results show that optimizing the teaching method,adjusting the teaching content and reforming the assessment mode can stimulate the students'learning interest,improve the students'independent learning ability and improve the teaching quality.