Diagnosis value of multi-slice spiral CT in renal trauma.

Computed tomography (CT) is most commonly used as a noninvasive approach in diagnosis of internal organ injures. Use of multi-slice spiral CT becomes more popular in diagnosis of trauma because of its ability to generate 3D volumetric information. This study evaluated the diagnostic value of multi-slice spiral computed tomography (MSCT) with enhanced scanning in renal trauma. In total, 126 patients with kidney injury underwent MSCT scanning from a single hospital in the southern of China between January 2012 and February 2016. According to kidney injury grading standards of American Association for the Surgery of Trauma (AAST), 30 were diagnosed and classified in level I, 26 in level II, 42 in level III, 17 in level IV, 11 in level V. The outcomes of MSCT enhanced scanning achieve a 100% diagnostic accuracy rate, which was confirmed by surgical findings. We concluded that the enhanced MSCT scan permits reliable detection of renal trauma and the associated organ or tissue injuries, providing important clinical value for the diagnosis and classification of renal trauma or internal organ injures.

Differentiation of localized pneumonic-type lung adenocarcinoma from localized pulmonary inflammatory lesion based on clinical data and multi-slice spiral computed tomography imaging features.

Background: Localized pneumonic-type lung adenocarcinoma (L-PLADC) is a special type of lung adenocarcinoma, which mimicking localized pulmonary inflammatory lesion (L-PIL), and many delayed diagnoses of L-PLADC have been identified due to insufficient clinical understanding or the lack of knowledge regarding the radiological findings. Multi-slice spiral computed tomography (MSCT) not only observes the fine structure of the lesion clearly, but also can evaluate the lesion and its surrounding tissues more intuitively, stereoscopically, and accurately using a variety of reconstruction techniques. The present study aimed to investigate the diagnostic value of clinical data and MSCT imaging features in differentiating L-PLADC from L-PIL. Methods: The clinical data and chest MSCT imaging features of 71 patients with L-PLADC and 70 patients with L-PIL were retrospectively analyzed. Seventy-one patients with L-PLADC underwent surgical resection or puncture and were confirmed as having invasive adenocarcinoma by pathology. Seventy patients with L-PIL were confirmed by clinical anti-inflammatory treatment or by puncture and surgery. The Chi-square and Mann-Whitney U tests were used to analyze the clinical data and MSCT imaging features of the included patients. Variables with P<0.05 in the univariate analysis were included in the multivariate logistic regression analysis to determine the independent risk factors for the diagnosis of L-PLADC. Results: The clinical data analysis showed that multivariate logistic regression analysis showed that irregular air bronchogram [odds ratio (OR) =15.946; P<0.001], ground-glass opacity (GGO) component (OR =12.369; P<0.001), pleural traction (OR =10.982; P<0.001), necrosis (OR =0.078; P<0.001), adjacent bronchial wall thickening (OR =0.017; P<0.001), pleural thickening (OR =0.074; P<0.001), and respiratory symptoms were independent risk factors for the diagnosis of L-PLADC [OR =0.117; the area under the curve (AUC), sensitivity, specificity, and accuracy values were 0.989, 97.2%, 94.3%, and 95.7%, respectively]. Conclusions: L-PLADC and L-PIL exhibit different clinical and MSCT imaging features. Determining these characteristics is conducive to the early diagnosis and clinical treatment of L-PLADC.

Analysis of the clinical value of multi-slice spiral computed tomography (MSCT), magnetic resonance imaging (MRI) and ultrasound (US) in the diagnosis of retroperitoneal tumors.

BACKGROUND: To compare the differences in the diagnosis of retroperitoneal tumors among multi-slice spiral computed tomography (MSCT), magnetic resonance imaging (MRI), and ultrasound (US). METHODS: Sixty cases of retroperitoneal tumors admitted in our hospital from January 2016 to January 2019 were collected and related data were analyzed. After admission, patients were examined by MSCT, MRI, and US, and the pathological results of the patients were used as the controls. The differences in the diagnosis of retroperitoneal tumors were compared with the results of MSCT, MRI, and US. RESULTS: Thirteen cases of benign tumors were diagnosed by MSCT, 47 cases were malignant, and 1 case was false benign, with diagnosis accuracy, sensitivity and specificity of 98.33%, 97.92% and 92.30%, respectively. Thirteen cases of benign tumors were diagnosed by MRI, 47 cases of malignant tumors, and 1 case was false benign, with diagnosis accuracy, sensitivity and specificity of 98.33%, 97.92%, and 92.30%, respectively. Fourteen cases of benign tumor were diagnosed by US, 46 cases were malignant, and 2 cases was false benign, with diagnosis accuracy, sensitivity and specificity of 96.67%, 97.92%, and 85.71%, respectively. There were no statistically significant differences in the accuracy, sensitivity, and specificity of MSCT, MRI, and US in the diagnosis of retroperitoneal tumors (P>0.05). CONCLUSIONS: MSCT, MRI, and US tests are highly accurate, sensitive, and specific in the diagnosis of retroperitoneal tumors.

Differences in airway remodeling and airway inflammation among moderate-severe asthma clinical phenotypes.

BACKGROUND: To identify asthma clinical phenotypes using cluster analysis and improve our understanding of heterogeneity in asthma. METHODS: Clustering approaches were applied to 203 patients who were diagnosed with asthma in XinHua Hospital (January 2012 to December 2015). One hundred and twenty patients underwent multi-slice spiral computed tomography (MSCT) examination and 30 underwent bronchial mucosal biopsy for evaluation of airway remodeling and airway inflammation among the phenotypes. RESULTS: Four groups were identified. Patients in cluster 1 (n=52) had early onset atopic asthma and patients in cluster 2 (n=65) had small airway obstruction and atopic asthma. Cluster 3 (n=52) was a unique group of patients with late-onset and non-atopic asthma. Patients in cluster 4 (n=34) had severe airflow obstruction and obvious airway remodeling as observed on MSCT (P<0.05). According to the immunohistochemistry of IL-5 and IL-17 (P<0.05), the results of clusters 1 and 2 may be attributable to the Th2 immune response, whereas those of clusters 3 and 4 to the Th17 immune response. CONCLUSIONS: Four distinct clinical phenotypes of asthma were identified by cluster analysis. The results of the MSCT and pathological examinations may suggest specific pathogeneses among the phenotypes.