Rib fractures are the most common form of fracture in blunt chest trauma, with an incidence rate of approximately 50% [1]. Traditional chest X-ray radiography has a sensitivity of only 15% for detecting rib fractures [2]. Although CT scans are currently the primary diagnostic tool in clinical practice and can detect more rib fractures than chest X-rays, some rib fractures may still be missed during the initial CT examination [3]. Even when artificial intelligence technology is used as an auxiliary detection method during image interpretation, it is not able to detect all rib fractures [4]. This study aims to evaluate the diagnostic efficacy of electron density mapping technology in spectral CT for detecting rib fractures in trauma patients and to explore new techniques for the examination of rib fractures.