A Rare Case of Gastro-Caval Fistula Due to Penetrating Trauma: A Vital Emergency.

In the literature no case of gastro-caval fistula due to penetrating trauma has been reported. We aimed to present a case of gastro-caval fistula presenting with massive hematemesis after a penetrating injury. A 20-year-old male patient applied to the emergency department with a complaint of projectile hematemesis after a knife penetrated the epigastric region. Contrast-enhanced abdominal computerized tomography (CT) showed a large hematoma around the inferior vena cava (IVC) and a fistula tract extending between the IVC and the gastric antrum. The patient underwent vena cava ligation and primary gastric repair. The patient, who was hypotensive and intubated in the post-operative intensive care unit, died on the second day after the operation. Because of the risk of sudden hypotension and shock from massive bleeding, gastro-caval fistula should be kept in mind in penetrating trauma; a rapid diagnosis should be made using a contrast-enhanced CT scan.

Computerized Tomography Texture Analysis in the Differential Diagnosis of Intracranial Epidermoid and Arachnoid Cysts.

PURPOSE: This study evaluated the differences between arachnoid and epidermoid cysts in computerized tomography (CT) texture analysis (TA). MATERIAL AND METHODS: The study included 12 patients with intracranial epidermoid cysts and 26 patients with intracranial arachnoid cysts who were diagnosed with diffusion-weighted magnetic resonance imaging (DW-MRI) and who had undergone an unenhanced CT examination before treatment. The LIFEx application software was used to obtain texture features. Eighty-two texture features from 38 lesions were automatically calculated for each lesion. The Shapiro-Wilk test was used to test the normality of the scores, and the Mann-Whitney U Test was used to test the difference between the groups. Receiver operating characteristic (ROC) curves and multivariate logistic regression modeling examined the parameters' diagnostic performances. RESULTS: The median age of the patients was 53 years (range: 19-88 years). Eighty-two texture parameters were evaluated in the first order: gray-level co-occurrence matrix (GLCM), gray-level run length matrix (GLRLM), neighbor gray-tone difference matrix (NGTDM), and gray-level size zone matrix (GLSZM) groups. There was a statistically significant difference between the arachnoid cyst and the epidermoid cyst in the variables of compacity, compactness 1, compactness 2, sphericity, asphericity, sum average, coarseness, and low gray-level zone (p<0.05). According to the multiple logistic regression model, it was determined that the sum average in the GLCM group (B=-0.11; p=0.015), coarseness (B= 869.5; p=0.044) in the NGTDM group, and morphological sphericity (B=24.18; p=0.047) were the radiomics variables that increased the probability of epidermoid diagnosis. According to the classification table of the model, the sensitivity rate was found to be 83%, and the specificity rate was found to be 96%. Therefore, the probability of accurate model classification was 92%. CONCLUSION: CT TA is a method that can be applied with high diagnostic accuracy in the differential diagnosis of intracranial epidermoid and arachnoid cysts, especially in patients who cannot undergo an MRI examination.