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Using an abbreviated whole-body trauma CT protocol is an effective way to streamline imaging in a mass-casualty event when emergency rooms may be swamped, researchers have found.The findings could translate to better patient care in a stressful situation, wrote a team led by presenter Dr. Muhammad Israr Ahmad of the University of British Columbia in Vancouver.
"In a mass casualty incident, CT is an important tool for triage but can be a bottleneck to patient care," Ahmad's team wrote in the study abstract. "Improved scan efficiency allows more rapid patient throughput, helping more patients be assessed/treated."
Ahmad's group developed a shortened "disaster" whole-body CT protocol as an alternative to conventional whole-body CT. The abbreviated protocol included axial CT head, axial CT angiogram vertex to pelvis, and sagittal reformat cervical spine. Four emergency radiologists read only these images from 10 whole-body CT complex trauma exams.
The readers identified 92% of acute traumatic findings; of these, 97% were identified by staff radiologists and 87% by fellows. There were some missed findings, but they were low grade and would not necessarily require immediate treatment in a mass-casualty event.
Experience did affect the performance of readers, Ahmad and colleagues discovered: Fellows were more likely to miss findings, while false positives were more likely among staff radiologists.
Yes, an abbreviated whole-body CT protocol may miss some low-grade conditions, but in a mass-casualty event, it appears to be an effective way to streamline imaging, the team concluded.
"Use of an abbreviated whole body trauma CT protocol in a mass casualty incident can expedite imaging without missing those injuries that require immediate treatment," Ahmed and colleagues wrote.




















![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)