Emergency Computed Tomography Research Articles

Computed tomography for the detection of myocardial hypoperfusion in acute myocardial infarction and the associated CT-to-catheter time

Emergency computed tomography (CT) often does not allow for comprehensive coronary artery assessment. However, CT may reveal pathological myocardial hypoperfusion suggestive of acute myocardial infarction (AMI), especially in patients presenting with a different diagnostic hypothesis. CT hypoperfusion is known to be associated with myocardial infarction, however the diagnostic value of CT hypoperfusion for the detection of AMI is still not well evaluated. This was a single-centre retrospective study including patients who underwent invasive coronary angiography (ICA) due to suspected AMI based on incidental perfusion defects upon emergency CT imaging between 2018 and 2023. A total of 22 patients (mean age 66.3 ± 10.8 years, 11 female) were included in this analysis. The diagnosis of AMI was established in all cases leading to ICA. Culprit coronary artery lesions with an indication of percutaneous coronary intervention were detected in all patients who underwent ICA. Spearmann correlation for hypoperfused segments on CT imaging and the corresponding vascular territory upon ICA was significantly substantial (ρ = 0.73, p = < 0.001). The higher the number of affected myocardial segments, the faster ICA was initiated. Mean time between the suspicion of AMI on CT imaging and ICA was 196 (29–4044) minutes. Myocardial hypoperfusion on emergency CT imaging should be considered as AMI until proven otherwise, independent of the clinical scenario leading to performance of CT imaging and whether imaging was performed for the exclusion of non-cardiac pathologies. Early initiation of further diagnostic workup may potentially avoid delays to invasive treatment and reduce the CT-to-catheter-time. Our study explicitly underlines that myocardial hypoperfusion upon contrast enhanced CT imaging needs to be considered as sign of acute myocardial infarction and indicates targeted clinical workup to rule out this diagnosis and to shorten the timeframe from imaging diagnosis to interventional treatment.

Deep Learning-Based Denoising Enables High-Quality, Fully Diagnostic Neuroradiological Trauma CT at 25% Radiation Dose

Traumatic neuroradiological emergencies necessitate rapid and accurate diagnosis, often relying on computed tomography (CT). However, the associated ionizing radiation poses long-term risks. Modern artificial intelligence reconstruction algorithms have shown promise in reducing radiation dose while maintaining image quality. Therefore, we aimed to evaluate the dose reduction capabilities of a deep learning-based denoising (DLD) algorithm in traumatic neuroradiological emergency CT scans. This retrospective single-center study included 100 patients with neuroradiological trauma CT scans. Full-dose (100%) and low-dose (25%) simulated scans were processed using iterative reconstruction (IR2) and DLD. Subjective and objective image quality assessments were performed by four neuroradiologists alongside clinical endpoint analysis. Bayesian sensitivity and specificity were computed with 95% credible intervals. Subjective analysis showed superior scores for 100% DLD compared to 100% IR2 and 25% IR2 (p<0.001). No significant differences were observed between 25% DLD and 100% IR2. Objective analysis revealed no significant CT value differences but higher noise at 25% dose for DLD and IR2 compared to 100% (p<0.001). DLD exhibited lower noise than IR2 at both dose levels (p<0.001). Clinical endpoint analysis indicated equivalence to 100% IR2 in fracture detection for all datasets, with sensitivity losses in hemorrhage detection at 25% IR2. DLD (25% and 100%) maintained comparable sensitivity to 100% IR2. All comparisons demonstrated robust specificity. The evaluated algorithm enables high-quality, fully diagnostic CT scans at 25% of the initial radiation dose and improves patient care by reducing unnecessary radiation exposure.

Time trend analysis of Injury Severity score of adult trauma patients with emergent CT examination.

Controversy exists about whole-body computed tomography (CT) as a primary screening modality for suspected multiple trauma patients. Therefore, the aim of this study was to analyze time trends of CT examinations for trauma patients in relation to the Injury Severity Score (ISS). We retrospectively analyzed 561 adult trauma patients (mean age = 54 years) who were admitted to the trauma room of our hospital, immediately followed by a CT examination, in 2009, 2013 und 2017. Review of electronic patient charts was performed to determine the cause of injury. ISS was either calculated upon hospital charts and CT imaging reports or documented in the TraumaRegister DGU® for trauma patients with ICU treatment or ISS ≥ 16. An increasing number of CT examinations of acute trauma patients were performed at our hospital with 117 patients in 2009 compared to 192 in 2013 and 252 in 2017. Their mean age increased (50 years in 2009, 54 in 2013 and 55 in 2017;p = 0.046), whereas their mean ISS decreased over time (15.2 in 2009 compared to 12.1 in 2013 and 10.6 in 2017;p = 0.001), especially in women (15.1 in 2009, 11.8 in 2013 and 7.4 in 2017;p = 0.001 both), younger age groups (18 to 24 years:15.6 in 2009, 6.5 in 2013 and 8.9 in 2017; p = 0.033 and 25 to 49 years:15.0 in 2009, 11.2 in 2013 and 8.3 in 2017;p = 0.001) as well as motor vehicle collision (MVC) victims (16.2 in 2009, 11.8 in 2013 and 6.1 in 2017; p < 0.001). Trauma patients with a high ISS were especially more likely of older age (OR 1.02,p < 0.001) and with the type of incident being a fall (< 3m: OR3.84,p < 0.001;>3m: OR6.22,p < 0.001) compared to MVC. Previous studies suggesting a benefit of primary whole-body CT for trauma patients might not reflect the current patient population with decreasing ISS. Especially females, younger age groups and MVC patients might benefit from stricter selection criteria for receiving whole-body CT. Our results also emphasize the importance of prevention of fall or tumble for elderly people.

The Impact of Computed Tomography Scans on the Management and Wait Times in Perianal Abscess Diagnoses.

Background Diagnosis and management of perianal abscesses (PAA) are based on history and clinical examination. Imaging is not indicated except in complicated cases, as determined by the surgical team. The monetary, ionizing radiation, and resource utilization costs of a computed tomography (CT) scan in the emergency room must be considered when used for diagnostic purposes of PAAs. Methods A retrospective analysis of 129 patients diagnosed with a diagnosis of PAA between 2015-2020 was performed. The primary endpoints included length of stay, CT performed, time from patient presentation to CT, and CT scan completion prior to surgical consultation. Data is reported as n (%) or median (IQR). Results Of the 129 patients diagnosed with PAA, 81 underwent CT, and 48 did not. General surgery was consulted in 88% of cases. There were no statistically significant differences in age (p=0.562), sex (p=0.531), or ethnicity (p=0.356). The median hospitalization time was two days when CT was performed (p=0.001). The median time elapsed from presentation to the emergency department and CT scan performed was 16 hours (p=0.001). CT scans were ordered before the surgical consultation in 65% of cases (p=0.001) and 17% after a surgical consultation was placed (p=0.009). Conclusion Performing CT scans prior to surgical evaluation for the diagnosis of PAA is not a responsible practice. The cost, resources, and radiation exposure must be considered. This study demonstrated that more CT scans are ordered prior to surgical consultation for PAA, resulting in a prolonged wait time in the emergency department.

Mesenteric arteries aneurysms rupture secondary to paradoxical hypertension after aortic coarctation stenting.

A 51-year-old female with long-term poorly controlled hypertension was found to have a systolic murmur on physical examination. A transthoracic echocardiogram showed a bicuspid aortic valve with left ventricular hypertrophy and normal ejection fraction. Computed tomography (CT) detected a critical coarctation of the aorta (Panel A). The invasive gradient through the coarctation was 80 mmHg. It was decided to treat with stent implantation (Panels B and C). A covered cheatham-platinum stent of 39 mm mounted on a balloon-in-balloon balloon of 16 × 40 mm was successfully implanted. Immediately after stent deployment, the systolic blood pressure reached 210 mmHg, despite pharmacological treatment. The day after the procedure, the patient started with abdominal pain and an emergency CT scan was performed (Panel D). Computed tomography showed a large mesenteric haematoma (with no active bleeding at that moment), a large aneurysm of the proximal ileocolic artery, and a small aneurysm of the middle colic artery. Angiography confirmed these findings (Panel E) and it was decided to embolize both aneurysms using Micro Vascular Plugs and coils, which resulted in a successful exclusion of the aneurysms but also in a lack of vascularization of the distal ileum and ascending colon (Panel F), that eventually required resection (right hemicolectomy). The possibility of aneurysms and other alterations in the vessels of patients with aortic coarctation should be considered. Whether these anomalies should be treated before stenting is still unknown. Paradoxical hypertension after stent implantation and its severe complications could be prevented by pharmacological treatment days before the intervention.

Protocolo diagnóstico y terapéutico de la hemoptisis

Hemoptysis is the expectoration of blood from the tracheobronchial tree. The most common causes are bronchial infections, bronchiectasis, and bronchogenic carcinoma. To diagnose it, it is necessary to take a good medical history and conduct a good physical examination as well as quantify the volume of hemoptysis in a graduated container to identify if it is life-threatening hemoptysis. In non-life-threatening hemoptysis, a blood test, a chest x-ray, and, if it is pathological, a computed tomography (CT) scan of the chest should be performed. In addition, treatment should be started with general and antitussive measures and empirical antibiotic treatment. When faced with life-threatening hemoptysis, it is necessary to notify the ICU and, later, conduct an emergency CT angiography of the bronchial arteries in order to evaluate whether to embolize those that are aberrant. If the patient presents with hemodynamic instability, it will be necessary to perform an emergency bronchoscopy prior to intubation of the patient. Surgery will be reserved for select cases in which it is not possible to control bleeding.

A bump in the night: a 15-year retrospective analysis of urgent inpatient and emergency CT reporting out of hours in a tertiary referral centre

To assess the impact on specialty trainee (ST) experience of out-of-hours (OOH) working, focusing on what might be improved with both patient safety and staff wellbeing in mind. The number of acute computed tomography (CT) examinations reported OOH over the last 15 years (2007-2021) at Oxford University Hospitals NHS Foundation Trust was analysed. Qualitative data from the radiology STs participating in the acute OOH rotas were obtained using questionnaires during winter months in 2019 and 2021, before and after the introduction of an OOH CT outsourcing service in 2020. Overnight acute CT has increased over 10-fold over the last decade to almost 50 CT examinations in 2021, and similar increases were observed during evening and weekend shifts. The option to outsource acute CT on an ad hoc basis was introduced in 2020 to manage the increase in demand. This resulted in a statistically significant improvement in the STs' level of reported satisfaction for OOH shifts (p<0.018), despite significantly increased perception of how busy the shifts were (p<0.035). OOH acute CT reporting at Oxford NHS Foundation Trust has increased dramatically over the previous 15 years. Working patterns and resources have changed incrementally to absorb this increase in demand, most recently with the option for outsourcing at times of peak demand. The trend for increasing OOH CT demand has considerable implications for future resource planning.

Interpretation of Emergency CT Scans of the Head in Trauma: Neurosurgeon vs Radiologist.

Traumatic brain injury (TBI) is a major cause of mortality and morbidity across all ages in all countries. Management of the patient with TBI is time critical. Emergency computed tomography (CT) scans of the head are often assessed by neurosurgeons and patient management plans are implemented before the final radiological report is released in hospitals, particularly where there is a shortage of radiologists in LMIC. The aims of this study were to identify discrepancies in the interpretation of CT scans of the head in patients with isolated head injury between the neurosurgeon and radiologist and to assess if these differences impacted patient management. This 6-month long prospective observational study was performed at a tertiary hospital in South Africa. The study population comprised 347 patients with isolated head injury who had a CT scan of the head performed on admission. The neurosurgeons' initial CT scan interpretation and the final radiological report were compared. Out of 347 CT head scans, the neurosurgeons correctly interpreted 318 cases. Of the 29 incorrectly interpreted cases, there were 17 false negatives and 12 cases with mismatching abnormalities. The concordance rate was 91.64% (95% CI 88.73-94.55) with a kappa of 0.78. An accuracy rate of 95.33% (95% CI 92.63-97.26) was achieved by the neurosurgeon. No patient was negatively impacted by any neurosurgical error in misinterpretation. In the interpretation of CT head scans in trauma, there is good neurosurgical and radiological interobserver agreement without negative patient impact. The neurosurgeons' interpretation of CT scans of the head in TBI is safe especially when radiology reports are not timeously available.

Deep Learning-Based Brain Computed Tomography Image Classification with Hyperparameter Optimization through Transfer Learning for Stroke.

Brain computed tomography (CT) is commonly used for evaluating the cerebral condition, but immediately and accurately interpreting emergent brain CT images is tedious, even for skilled neuroradiologists. Deep learning networks are commonly employed for medical image analysis because they enable efficient computer-aided diagnosis. This study proposed the use of convolutional neural network (CNN)-based deep learning models for efficient classification of strokes based on unenhanced brain CT image findings into normal, hemorrhage, infarction, and other categories. The included CNN models were CNN-2, VGG-16, and ResNet-50, all of which were pretrained through transfer learning with various data sizes, mini-batch sizes, and optimizers. Their performance in classifying unenhanced brain CT images was tested thereafter. This performance was then compared with the outcomes in other studies on deep learning–based hemorrhagic or ischemic stroke diagnoses. The results revealed that among our CNN-2, VGG-16, and ResNet-50 analyzed by considering several hyperparameters and environments, the CNN-2 and ResNet-50 outperformed the VGG-16, with an accuracy of 0.9872; however, ResNet-50 required a longer time to present the outcome than did the other networks. Moreover, our models performed much better than those reported previously. In conclusion, after appropriate hyperparameter optimization, our deep learning–based models can be applied to clinical scenarios where neurologist or radiologist may need to verify whether their patients have a hemorrhage stroke, an infarction, and any other symptom.

Validation of the ECHS non trauma cranial CT rule in Australia: A prospective cohort study.

Computed tomography (CT) is a commonly used imaging modality in Emergency Departments (EDs), however its use is questionable in many low yield settings. The Emergency CT Head score (ECHS) is a recently published clinical tool that assists in stratifying the need for CT brain (CTB) for patients presenting without a history of trauma. We sought to validate this tool in an Australian ED setting. We prospectively evaluated 412 patients who received CTB without a history of trauma at a large Australian ED. We assessed them for the 4 main ECHS data points: focal neurological deficit on physical examination, new acute onset headache, transient neurological deficit, and a combination of new onset seizures with an altered conscious state. We examined their association with acute and chronic CTB findings. We then applied the ECHS to our data, calculating its sensitivity and its appropriateness at this single site via the calculation of a receiver operating curve (ROC). 10.2% of all CTB performed were positive for an acute or chronic abnormality. Only sex (male) and focal motor deficit were independent predictors of positive CTB at univariate analysis. The ECHS did not perform as anticipated in our population, with a ROC area under the curve of 0.498. An ECHS score of >0, which has been proposed as the threshold to not require imaging, had sensitivity of only 83.3% in our population. Further research and validation is required in order to safely implement the ECHS clinical score in the Australian ED setting.

Incidental CT Findings in the Elderly with Low-Energy Falls: Prevalence and Implications.

Background: Computed tomography (CT) is commonly used in trauma care, with increasing implementation during the emergency work-up of elderly patients with low-energy falls (LEF). The prevalence of incidental findings (IFs) resulting from CT imaging and requiring down-stream actions in this patient cohort is unknown. We have investigated the prevalence and urgency of IFs from emergency CT examinations in these patients. Methods: A total of 2871 patients with LEF and emergency CT examinations were consecutively included in this retrospective cohort study. The primary endpoint was the prevalence of IFs; the secondary endpoint was their urgency. Results: The median age was 82 years (64.2% were women). IFs were identified in 73.9% of patients, with an average of 1.6 IFs per patient. Of all IFs, 16.4% were classified as urgent or relevant, predominantly in the abdomen, chest and neck. Increasing age was associated with the prevalence of an IF (odds ratio: 1.053, 95% confidence interval: 1.042–1.064). Significantly more IFs were found in female patients (75.2% vs. 71.5%). Conclusion: IFs resulting from CT examinations of the elderly are frequent, but in more than 8 out of 10, they are harmless or currently asymptomatic. For the benefit of an accurate diagnosis of traumatic lesions, concerns about IFs with respect to disease burden, further work-up and resource utilisation might be disregarded.

Fatal liver mass rupture in a common-variable-immunodeficiency patient with probable nodular regenerating hyperplasia

BackgroundNodular regenerating hyperplasia (NRH) is the most common liver involvement in common variable immunodeficiency (CVID). Most patients are asymptomatic with gradually increasing alkaline phosphatase (ALP) and mildly elevated transaminase enzymes over the years. We report the first case of fatal liver mass rupture in a CVID patient with probable NRH.Case presentationA 24-year-old man was diagnosed with CVID at the age of 1.25 years. Genetic testing revealed a transmembrane activator and calcium-modulator and cyclophilin-ligand interactor (TACI) mutation. He had been receiving intravenous immunoglobulin (IVIg) replacement therapy ever since then. The trough level of serum IgG ranged between 750–1200 mg/dL. However, he still had occasional episodes of lower respiratory tract infection until bronchiectasis developed. At 22 years old, computed tomography (CT) chest and abdomen as an investigation for lung infection revealed incidental findings of numerous nodular arterial-enhancing lesions in the liver and mild splenomegaly suggestive of NRH with portal hypertension. Seven months later, he developed sudden hypotension and tense bloody ascites. Emergency CT angiography of the abdomen showed NRH with intrahepatic hemorrhage and hemoperitoneum. Despite successful gel foam embolization, the patient died from prolonged shock and multiple organ failure.ConclusionsAlthough CVID patients with NRH are generally asymptomatic, late complications including portal hypertension, hepatic failure, and hepatic rupture could occur. Therefore, an evaluation of liver function should be included in the regular follow-up of CVID patients.

Detecting brain lesions in suspected acute ischemic stroke with CT-based synthetic MRI using generative adversarial networks.

BackgroundDifficulties in detecting brain lesions in acute ischemic stroke (AIS) have convinced researchers to use computed tomography (CT) to scan for and magnetic resonance imaging (MRI) to search for these lesions. This work aimed to develop a generative adversarial network (GAN) model for CT-to-MR image synthesis and evaluate reader performance with synthetic MRI (syn-MRI) in detecting brain lesions in suspected patients.MethodsPatients with primarily suspected AIS were randomly assigned to the training (n=140) or testing (n=53) set. Emergency CT and follow-up MR images in the training set were used to develop a GAN model to generate syn-MR images from the CT data in the testing set. The standard reference was the manual segmentations of follow-up MR images. Image similarity was evaluated between syn-MRI and the ground truth using a 4-grade visual rating scale, the peak signal-to-noise ratio (PSNR), and the structural similarity index measure (SSIM). Reader performance with syn-MRI and CT was evaluated and compared on a per-patient (patient detection) and per-lesion (lesion detection) basis. Paired t-tests or Wilcoxon signed-rank tests were used to compare reader performance in lesion detection between the syn-MRI and CT data.ResultsGrade 2–4 brain lesions were observed on syn-MRI in 92.5% (49/53) of the patients, while the remaining syn-MRI data showed no lesions compared to the ground truth. The GAN model exhibited a weak PSNR of 24.30 dB but a favorable SSIM of 0.857. Compared with CT, syn-MRI led to an increase in the overall sensitivity from 38% (57/150) to 82% (123/150) in patient detection and from 4% (68/1,620) to 16% (262/1,620) in lesion detection (R=0.32, corrected P<0.001), but the specificity in patient detection decreased from 67% (6/9) to 33% (3/9). An additional 75% (70/93) of patients and 15% (77/517) of lesions missed on CT were detected on syn-MRI.ConclusionsThe GAN model holds potential for generating synthetic MR images from noncontrast CT data and thus could help sensitively detect individuals among patients with suspected AIS. However, the image similarity performance of the model needs to be improved, and further expert discrimination is strongly recommended.

Trauma Computed Tomography in the Modern Era: Not Always Quick and Safe.

Computed tomography (CT) has emerged as the diagnostic modality of choice in trauma patients. Recent studies suggest its use in hemodynamically unstable patients is safe and potentially lifesaving; however, the incidence of adverse events (AE) during the trauma CT scanning process remains unknown. Over a 6-month period at a Level 1 trauma center, data on patients undergoing trauma CT (whole-body CT (WBCT) +/- additional CT studies) were prospectively collected. All patients requiring a trauma team activation (TTA) were included. Adverse events and specific time intervals were recorded from the time of TTA notification to the time of return to the resuscitation bay from the CT suite. Of the 94 consecutive patients included in the study, 47.9% experienced 1 or more AE. Median duration away from the resuscitation bay for all patients was 24minutes. Patients with AE spent a significantly longer time away from the resuscitation bay and had longer scan times. Vasopressor support and ongoing transfusion requirement at the time of CT scanning were associated with AE. Adverse events of varying clinical significance occur frequently in patients undergoing emergent trauma CT. A standard trauma CT protocol could improve the efficiency and safety of the scanning process.

Beyond the d-dimer – Machine-learning assisted pre-test probability evaluation in patients with suspected pulmonary embolism and elevated d-dimers

IntroductionAcute pulmonary embolism (PE) is a leading cardiovascular cause of death, resembling a common indication for emergency computed tomography (CT). Nonetheless, in clinical routine most CTs performed for suspicion of PE excluded the suspected diagnosis. As patients with low to intermediate risk for PE are triaged according to the d-dimer, its relatively low specifity and widespread elevation among elderly might be an underlying issue.Aim of this study was to find potential predictors based on initial emergency blood tests in patients with elevated d-dimers and suspected PE to further increase pre-test probability. MethodsIn this retrospective study all patients at the local university hospital's emergency room from 2009 to 2019 with suspected PE, emergency blood testing and CT were included. Cluster analysis was performed to separate groups with distinct laboratory parameter profiles and PE frequencies were compared. Machine learning algorithms were trained on the groups to predict individual PE probability based on emergency laboratory parameters. ResultsOverall, PE frequency among the 2045 analyzed patients was 41%. Three clusters with significant differences (p ≤ 0.05) in PE frequency were identified: C1 showed a PE frequency of 43%, C2 40% and C3 33%. Laboratory parameter profiles (e.g. creatinine) differed significantly between clusters (p ≤ 0.0001). Both logistic regression and support-vector machines were able to predict clusters with an accuracy of over 90%. DiscussionInitial blood parameters seem to enable further differentiation of patients with suspected PE and elevated d-dimers to raise pre-test probability of PE. Machine-learning-based prediction models might help to further narrow down CT indications in the future.

Evaluating delays for emergent CT scans from a rural British Columbia hospital.

Computed Tomography (CT) scans help diagnose and triage life-threatening and time-sensitive emergency conditions, but most rural hospitals in British Columbia do not have access to a local CT scanner. We investigate how many transfers from a rural British Columbia hospital were for CT scans and describe the time delays to emergent CT imaging. This was a prospective cohort study, over a 1-year period, on all patients requiring a transfer from the Golden and District Hospital, located 247km from the closest CT scanner. Data collection forms were completed prospectively and the main measurements included age, transport triage level, reason for transfer, referral hospital, transfer request time, and CT scan time. The time interval between the CT request and CT imaging was calculated and represents the 'delay to CT scan' interval. The study hospital received 8672 emergency department (ED) visits and 220 were transferred to referral centres (2.5%). 61% of all transfers received a CT scan. Transfers for time-sensitive emergencies took an average of 6h 52min. Patients with acute stroke experienced a 4h 44min time interval. Less urgent and non-urgent conditions entailed an even greater time delay. This study highlights that the lack of a rural CT scanner is associated with increased transfers and significant time delays. Improving access to CT scanners for rural communities may be one of the many steps in addressing healthcare disparities between rural and urban communities.

Pyonephrosis Ultrasound and Computed Tomography Features: A Pictorial Review.

Urinary tract infections (UTIs) are the most frequent community-acquired and healthcare-associated bacterial infections. UTIs are heterogeneous and range from rather benign, uncomplicated infections to complicated UTIs (cUTIs), pyelonephritis and severe urosepsis, depending mostly on the host response. Ultrasound and computed tomography represent the imaging processes of choice in the diagnosis and staging of the pathology in emergency settings. The aim of this study is to describe the common ultrasound (US) and computed tomography (CT) features of pyonephrosis. US can make the diagnosis, demonstrating echogenic debris, fluid/fluid levels, and air in the collecting system. Although the diagnosis appears to be easily made with US, CT is necessary in non-diagnostic US examinations to confirm the diagnosis, to demonstrate the cause and moreover to stage the pathology, defining extrarenal complications. In emergency settings, US and CT are differently used in the diagnosis and staging of pyonephrosis.

Gas Gangrene in a Closed Pelvic Injury

Gas gangrene in a closed pelvic injury is very rare phenomenon and we could not find many reported cases in the literature. Radiographs are not enough for diagnosis and computed tomography (CT) is not widely available yet in primary health center. Basic management includes surgical debridement with incision and drainage of necrotic tissue of the involved area, antibiotic therapy, and surgical intensive care. Delay of the surgical debridement for &gt;12 h is associated with higher overall morbidity. The aerobic and anaerobic bacteria with the indigenous commensal of the pelvis results in the production of exotoxins that leads to severe rapid tissue necrosis and the synthesis of insoluble gases characteristic of subcutaneous emphysema or Fournier's gangrene. Although gas gangrene is often diagnosed clinically, emergency CT can support in early diagnosis with accurate assessment of the disease extent. CT not only helps evaluate the pelvic bony structures but also helps assess the spread of disease in the abdomen and pelvis. The mainstay of the management includes surgical debridement with incision and drainage of necrotic tissue of involved area, antibiotic therapy, and surgical intensive care. Early diagnosis remains the mainstay of the treatment of Gas gangrene. It is important to diagnose these life-threatening conditions and treat them as early as possible. Due to the rarity of such events and the unavailability of gold standard diagnostic and treatment modalities, it is very difficult to prevent the mortality for such patients. There is a need for a better treatment plan to diagnose and manage such patients urgently and not to miss the initial phase of disease progression which is critical for saving the life of the patient.

Acute cerebral venous thrombosis - still an underdiagnosed pathology in emergency computed tomography of the brain.

PurposeAcute cerebral venous thrombosis (CVT) is a rare condition that can lead to a serious clinical state; thus, prompt diagnosis and treatment are mandatory. Head computed tomography (CT) plays a crucial role in the initial prompt diagnosis in the emergency setting. The aim of the study was to retrospectively analyse emergency head CT studies and the rate of incorrect diagnoses and main sources of pitfalls.Material and methodsRetrospective analysis of 31 emergency CT studies (22 without contrast, 19F/12M, age range: 4-94 years) of patients with confirmed acute CVT.ResultsThrombosed dural sinuses were found in 24/31 (77.4%) cases, thrombosed veins in 7/31 (22.6%) cases, no lesions within vessels in 2/31 (6.5%) cases. Haemorrhagic brain lesions were found in 9/31 (29%) cases, hypodense oedema in 6/31 (19.6%) cases, brain swelling in 1/31 (3.2%) cases, and no parenchymal lesions were revealed in 15/31 (48.4%) cases. Correct diagnosis of CVT was established in 15 cases (48.4%); however, it was incorrect in 16 cases (51.6%). Incorrect cases consist of 4 groups: 1 – with both vascular and parenchymal lesions that were overlooked (50%), 2 – with vascular lesions only, which were either overlooked, misinterpreted, or covered by artefacts (31.3%,), 3 – with parenchymal lesions only, which were misinterpreted (12.5%), and 4 – with no lesions present in the emergency head CT (6.2%).ConclusionsThe high rate of incorrect diagnoses of acute CVT based on emergency head CT requires constant training of radiologists and their close cooperation with clinicians because a delayed diagnosis may be lethal to the patient.

Computed tomography findings of acute gastric peptic ulcer

PurposeTo report the computed tomography (CT) findings of acute peptic ulcer disease (PUD) and to evaluate the usefulness of contrast media for diagnosis. MethodsThis retrospective study included 51 patients diagnosed with acute gastric peptic ulcer by endoscopy. Using a κ analysis, two radiologists independently reviewed contrast-enhanced emergency CTs performed within 24 h of endoscopy. Evaluation findings included low-attenuation wall thickening, focal wall thickening, focal luminal outpouching, perigastric fat stranding, ascites, adjacent lymphadenopathy, and high-density gastric contents. Of the 51 patients, 48 underwent both non–contrast-enhanced and contrast-enhanced CT, and two radiologists also evaluated the presence or absence of these findings on a non-contrast-enhanced CT. McNemar's test was used to evaluate the contrast media's usefulness. ResultsInterobserver variability of perigastric fat stranding revealed substantial agreement between evaluators, and other findings had almost perfect agreement. High-density gastric contents were the most recognized findings (60%). Low-attenuation focal wall thickening and focal luminal outpouching were observed in relatively large numbers (~50%) of the cases on contrast-enhanced CT. The CT examinations using contrast media provided significantly higher detectability of low-attenuation wall thickening and focal luminal outpouching than CT examinations without using contrast media. ConclusionAcute PUD can be suspected in patients with nonspecific abdominal symptoms in whom emergency CT shows high-density gastric contents, focal low-attenuation wall thickening, and/or focal luminal outpouching. Our study showed that contrast media are useful for diagnosis.