Diagnostic Value of Multislice Spiral CT Cardiothoracic Combined with Angiography in Acute Chest Pain

Long non-coding RNA SNHG7 serves as a diagnostic biomarker for acute coronary syndrome and its predictive value for the clinical outcome after percutaneous coronary intervention

BACKGROUND

Acute coronary syndrome (ACS) is one of the common causes of cardiovascular death. The related lncRNAs were novel approaches for early diagnosis and intervention. This paper focused on the clinical function of SNHG7 for patients after PCI.

METHODS

The expression of SNHG7 was assessed in ACS patients. The predictive roles of SNHG7 were unveiled by the ROC curve. The relationship between SNHG7 and Gensini scores was judged by Pearson analysis. One-year follow-up was conducted and all patients were catalogued into different groups based on the prognosis. The qRT-PCR, K-M curve, and Cox regression analysis were performed to document the prognostic significance of SNHG7.

RESULTS

SNHG7 was highly expressed in ACS and its three subtypes. SNHG7 showed a certain value in predicting ACS, UA, NSTEMI, and STEMI. Gensini is a closely correlated indicator of SNHG7. The declined expression of SNHG7 was observed in the non-MACE and survival groups. The risk of MACE and death was increased in the group with high expression of SNHG7. SNHG7 was an independent biomarker in patients with ACS after PCI.

CONCLUSIONS

SNHG7 might be a diagnostic and prognostic tool for ACS patients.

Retracted: Diagnostic Value of Multislice Spiral CT Cardiothoracic Combined with Angiography in Acute Chest Pain

[This retracts the article DOI: 10.1155/2021/5549971.].

Application of 64-Slice Spiral CT Imaging Technology Based on Smart Medical Augmented Reality in the Diagnosis of Foreign Bodies in the Respiratory Tract in Children

A foreign body in the respiratory tract is one of the common accidental injuries of children in our country, and is usually an important and serious event. Injuries caused by foreign substances in the respiratory tract seriously threaten the health and life of children in Korea and are a great challenge for parents as well. In the process of diagnosis of foreign bodies in the respiratory tract, there is often missed diagnosis or serious complications. Therefore, this article proposes the application of 64-slice spiral CT imaging technology based on smart medical augmented reality in the diagnosis of foreign bodies in the respiratory tract in order to improve the diagnosis of foreign bodies in the respiratory tract, provide help with treatment to improve the prognosis of foreign bodies in the respiratory tract, and reduce the incidence of foreign bodies in the respiratory tract. In this paper, 36 children underwent a 64-slice spiral CT scan of their lungs, and images were transferred to a workstation for multiplanar reconstruction, minimal density projection, three-dimensional volume reconstruction imaging, and CT virtual endoscopic reconstruction, the location, shape, size, and size of the foreign body in contrast with adjacent structural lesions and lesions seen during surgery. Experiments have shown that the left bronchial granulation accounted for 27.3%, the right bronchial granulation 18.75%, the main tracheal granulation 28.6%; there was no significant difference between the left and right bronchial granulation (P > 0.05), while the main tracheal granulation and bilateral bronchial granulation there are significant differences between the shape distributions (P < 0.05). This shows that CT imaging technology has enabled more patients to avoid surgical operations and ensure that the spiral computer can bring the greatest benefits to children. A 64-slice spiral CT scan can diagnose foreign bodies in the child's respiratory tract. The detection rate is high and the diagnostic failure rate is low. The diagnostic rationale provides a reference for early clinical treatment.