Torso computed tomography in blunt trauma patients with normal vital signs can be avoided using non-invasive tests and close clinical evaluation

No trauma-related diagnosis in emergency trauma room whole-body computer tomography of patients with inconspicuous primary survey

PURPOSE

Whole-body computer tomographic examinations (WBCT) are essential in diagnosing the severely injured. The structured clinical evaluation in the emergency trauma room, according to ATLS® and guidelines, helps to indicate the correct radiological imaging to avoid overtriage and undertriage. This retrospective, single-center study aimed to evaluate the value of WBCT in patients with an inconspicuous primary survey and whether there is any evidence for this investigation in this group of patients.

METHODS

This retrospective, single-center study was conducted with patients admitted to a maximum-care hospital and supraregional trauma center in Germany and part of the TraumaNetwork DGU® in southwest Germany between January 2012 and November 2017. Hospital files were used for evaluation, and WBCT was carried out using a 32-row MSCT device from Siemens Healthineers, Volume Zoom, Erlangen, Germany. For evaluation, non-parametric procedures such as the chi-square test, U test, Fisher test, and Wilcoxon rank sum test were used to test for significance (p < 0.05).

RESULTS

From 3976 patients treated with WBCT, 120 patients (3.02%) showed an inconspicuous primary survey. This examination did not reveal any trauma sequelae in any of this group. Additionally, 198 patients (4.98%) showed minor clinical symptoms in the primary survey, but no morphological trauma sequence could be diagnosed in WBCT diagnostics. Three hundred forty-two patients were not admitted as inpatients after WBCT and discharged to further outpatient treatment because there were no objectifiable reasons for inpatient treatment. Four hundred fifteen patients did not receive WBCT for, e.g., isolated extremity trauma, child, pregnancy, or death.

CONCLUSION

Not one of the clinically asymptomatic patients had an imageable injury after WBCT diagnostics in this study. WBCT should only be performed in severely injured patients after clinical assessment regardless of "trauma mechanism." According to guidelines and ATLS®, the clinical examination seems to be a safe and reliable method for reasonable and responsible decision-making regarding the realization of WBCT with all well-known risk factors.

In-Hospital Predictors of Need for Ventilatory Support and Mortality in Chest Trauma: A Multicenter Retrospective Study

Chest trauma management often requires the use of invasive and non-invasive ventilation. To date, only a few studies investigated the predictors of the need for ventilatory support. Data on 1080 patients with chest trauma managed in two different centers were retrospectively analyzed. Univariate and multivariate analyses were performed to identify the predictors of tracheal intubation (TI), non-invasive mechanical ventilation (NIMV), and mortality. Rib fractures (p = 0.0001) fracture of the scapula, clavicle, or sternum (p = 0.045), hemothorax (p = 0.0035) pulmonary contusion (p = 0.0241), and a high Injury Severity Score (ISS) (p ≤ 0001) emerged as independent predictors of the need of TI. Rib fractures (p = 0.0009) hemothorax (p = 0.0027), pulmonary contusion (p = 0.0160) and a high ISS (p = 0.0001) were independent predictors of NIMV. The center of trauma care (p = 0.0279), age (p < 0.0001) peripheral oxygen saturation in the emergency department (p = 0.0010), ISS (p < 0.0001), and Revised Trauma Score (RTS) (p < 0.0001) were independent predictors of outcome. In conclusion, patients who do not require TI, while mandating ventilatory support with selected types of injuries and severity scores, are more likely to be subjected to NIMV. Trauma team expertise and the level of the trauma center could influence patient outcomes.

Artificial Intelligence Accurately Detects Traumatic Thoracolumbar Fractures on Sagittal Radiographs

Background and Objectives: Commonly being the first step in trauma routine imaging, up to 67% fractures are missed on plain radiographs of the thoracolumbar (TL) spine. The aim of this study was to develop a deep learning model that detects traumatic fractures on sagittal radiographs of the TL spine. Identifying vertebral fractures in simple radiographic projections would have a significant clinical and financial impact, especially for low- and middle-income countries where computed tomography (CT) and magnetic resonance imaging (MRI) are not readily available and could help select patients that need second level imaging, thus improving the cost-effectiveness. Materials and Methods: Imaging studies (radiographs, CT, and/or MRI) of 151 patients were used. An expert group of three spinal surgeons reviewed all available images to confirm presence and type of fractures. In total, 630 single vertebra images were extracted from the sagittal radiographs of the 151 patients—302 exhibiting a vertebral body fracture, and 328 exhibiting no fracture. Following augmentation, these single vertebra images were used to train, validate, and comparatively test two deep learning convolutional neural network models, namely ResNet18 and VGG16. A heatmap analysis was then conducted to better understand the predictions of each model. Results: ResNet18 demonstrated a better performance, achieving higher sensitivity (91%), specificity (89%), and accuracy (88%) compared to VGG16 (90%, 83%, 86%). In 81% of the cases, the “warm zone” in the heatmaps correlated with the findings, suggestive of fracture within the vertebral body seen in the imaging studies. Vertebras T12 to L2 were the most frequently involved, accounting for 48% of the fractures. A4, A3, and A1 were the most frequent fracture types according to the AO Spine Classification. Conclusions: ResNet18 could accurately identify the traumatic vertebral fractures on the TL sagittal radiographs. In most cases, the model based its prediction on the same areas that human expert classifiers used to determine the presence of a fracture.

Avoiding immediate whole-body trauma CT: a prospective observational study in stable trauma patients

High energy blunt trauma patients with normal vital signs are usually investigated with a Contrast Enhanced Computed Tomography (CECT) for torso injuries. CECT involves high levels of radiations, often showing no injuries in patients over-triaged to the trauma center. The aim of our study was to suggest an alternative diagnostic protocol based on Emergency Room (ER) tests (physical exam, blood tests, extended FAST, Chest and Pelvis X-ray) to avoid CECT in selected patients. A prospective cohort study was conducted from September 2018 to September 2019. Five hundred patients fulfilled the inclusion criteria. Patients received torso-CECT scan only if they had at least one positive ER test. The validity of the single component of the protocol and the global validity of the ER tests to detect torso injuries was assessed through sensitivity, specificity, positive (PPV) and negative (NPV) predictive value, positive (+ LR) and negative (- LR) likelihood ratio. Multivariate analysis was performed to identify independent predictors of torso injuries. One hundred and seventy patients received a torso-CECT scan because of positive ER tests. ER tests showed a global sensitivity for torso injuries of 86.96% (95% CI 80.17-92.08) specificity of 83.98%(95% CI 79.79-87.60), PPV of 67.42% (95% CI 61.83-72.54), NPV of 94.41% (95% CI 91.63-96.30) + LR of 5.43 (95% CI 4.25-6.93), - LR of 0.16 (95% CI 0.10-0.24). ER tests in an experienced center seem to be able to identify more severe blunt trauma patients needing CECT. Further studies are advisable to confirm these results.

Is There a Need for Abdominal CT Scan in Trauma Patients With a Low-Risk Mechanism of Injury and Normal Vital Signs?

Background Clinically significant injuries are often missed in trauma patients with low-risk mechanisms of injury and lack of "red flags," such as abnormal vital signs. The purpose of this retrospective analysis was to evaluate the efficacy of computed axial tomography (CT) for identifying occult injuries in a high-volume trauma center. Methods Records from our institutional trauma registry were retrospectively extracted, examining encounters from January 2015 to October 2019. Those patients between the ages of 18 and 65 who were referred to the trauma team with a CT scan of the abdomen and had low-risk mechanisms of injury, a Glasgow Coma Scale (GCS) score of 15, and normal vital signs at presentation were included. Patients in the lowest trauma categorization (Level Three, Consult) met the study definition for the low-risk mechanism of injury. Demographic and clinical data were abstracted for all patients. For this analysis, patients were divided into two groups based on age (18 - 40 years or 40 - 65 years). Injuries found on CT, their clinical significance, and the likelihood of being missed without CT were determined. Results Of 2,103 blunt trauma patients that received a CT scan of the abdomen from January 2015 to October 2019, 134/2,103 (6.4%) met the inclusion criteria (mean age: 44.6 years; 72.3% male). Patients between the ages of 40 and 65 years comprised 61.2% (82/134) of the study population. Of the included patients, 17.2% (23/134) had at least one acute traumatic injury identified after CT imaging of the torso. Occult injuries found on CT included rib fracture with associated lung injuries (10/23, 43.5%), splenic laceration (4/23, 17.4%), liver laceration (3/23, 13.0%), gluteal hematoma with active bleeding (1/23, 4.3%), sternal fractures (3/23, 13.0%), and thoracic or lumbar spine fractures (2/23, 8.7%). An independent review of the medical records determined that 9.0% (12/134) of these patients had traumatic injuries that would have been missed based on clinical examination without CT. Conclusions Based on our experience, utilizing CT imaging of at least the abdomen as a routine screening measure for all trauma consults - even low-risk patients with normal vital signs - can rapidly and accurately identify clinically significant injuries that would have been otherwise missed in a notable portion of the population.