Pediatric abdominal trauma can be challenging and often necessitates rapid and accurate identification of injuries for optimal patient care. This study aimed to assess the potential workflow improvements in diagnostic accuracy achieved with semi-automated analysis of Dual Energy CT (DECT) image reconstruction in the setting of abdominal solid organ injury, as compared to conventional Multi-Detector CT (MDCT) images. The data sets from dual energy reconstructions have superior tissue differentiation and can be used to train a simple artificial intelligence (AI) program to recognize these patterns and expedite care.
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Meeting name:
SPR 2024 Annual Meeting & Postgraduate Course
, 2024
Authors:
Griffin Walter,
Simmons Curtis,
Southard Richard,
Jorgensen Scott,
Van Tassel Dane
Keywords:
Dual Energy,
abdominal trauma