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CT in adult patients with Polytrauma: current practices, protocol optimization, structured reporting and future
Kirthi Sathyakumar1, Vijayan Purushothaman2, Joses Dany James3
1Department of Radiology, SRM Medical College Hospital and Research Centre, Faculty of Medicine and Health sciences, SRM Institute of Science and Technology Kattankulathur, Chengalpattu, 603203, Tamil Nadu, India. kirthi86sk@gmail.com.
Whole-body computed tomography (WB-CT) is crucial for polytrauma assessment, improving diagnosis speed and injury detection over selective CT. Optimized protocols and emerging AI tools enhance trauma workflow efficiency and patient care.
Area of Science:
- Radiology
- Medical Imaging
- Trauma Care
Background:
- Computed tomography (CT) is the primary imaging tool for polytrauma patients.
- Whole-body CT (WB-CT) offers speed and accuracy but faces debates on patient selection, protocols, and radiation.
- WB-CT improves diagnosis time and injury detection compared to selective CT, though mortality benefits vary.
Purpose of the Study:
- To review current guidelines and compare WB-CT with selective CT.
- To discuss existing WB-CT protocols and propose an optimized protocol (IMPACT Protocol).
- To provide recommendations for structured reporting and future implementation of WB-CT in trauma.
Main Methods:
- Review of current literature and guidelines on WB-CT in polytrauma.
- Comparison of WB-CT versus region-specific selective CT.
- Proposal of the 'IMPACT Protocol' (Integrated Multiphase Polytrauma Assessment CT).
Main Results:
- WB-CT shortens time-to-diagnosis and enhances injury detection.
- Newer protocols (split-bolus, DECT, dose-reduced) aim to optimize accuracy while minimizing radiation and contrast.
- Structured reporting and AI tools show potential for improving workflow efficiency and diagnostic performance.
Conclusions:
- WB-CT is a valuable tool in polytrauma management, with ongoing efforts to optimize its use.
- The proposed IMPACT Protocol offers a practical approach to WB-CT optimization.
- Structured reporting and AI integration are key for future advancements in trauma CT workflows.
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