Application of the Artificial Neural Network in the Diagnosis of Infantile Bronchial Bridge with 64-Slice Multislice Spiral CT.

Gengwu Li,Jun Hu,Huihui Lin,Xu Li,Chang Wang

doi:10.1155/2021/3694664

Gengwu Li, Jun Hu + Show 3 more

Open Access

https://doi.org/10.1155/2021/3694664

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Abstract

The objective is to study the application of spiral CT in the diagnosis of the trachea in children. In this study, the effect of 64-slice multislice spiral CT in diagnosing infant bronchial bridge was studied based on an artificial neural network. From June 2020 to December 2020, 100 cases of children with the trachea in the outpatient department of our hospital were selected as the research object. They were divided into the study group and the control group, with 50 cases in each group. The results showed that among the 50 cases in the control group, 42 cases were found to have a bronchial foreign body and 8 cases were missed; the detection rate was 84%. There were 7 cases of trachea foreign body, 15 cases of left bronchial foreign body, 14 cases of right bronchial foreign body, and 6 cases of medium bronchial foreign body. The detection rate of the study group was significantly higher than that of the control group, with a statistical significance (P < 0.05). Conclusion. The detection rate of neural networks in MSCT is higher than that of X-ray, and the MSCT based on the artificial neural network can clearly show the morphology, position, and the relationship between the foreign body and trachea, which is worthy of clinical promotion and application.

Highlights

A bronchial foreign body is the most common accident in children, second only to car accidents, poisoning, and ranked the third accidental injury
All the children were randomly divided into the study group and control group, with 50 cases in each group, including 70 males and 30 females, e age ranged from 7 months to years and five months, the mean age was (74.12 ± 3.15) months, the course of the disease was 1 hour to days, and the mean course of the disease was 4.23 ± 2.48 days. e clinical manifestations of the children are irritant cough, varying degrees of dyspnea, cyanosis, and other symptoms, and some of the children have fever, shortness of breath, or asthma
Foreign bodies in bronchial tubes were detected in 38 cases and missed diagnosis in 12 cases, with a detection rate of 76%. ere were 9 cases of tracheal foreign body, 16 left bronchi, 9 cases of right bronchus, and 4 cases of the middle bronchus

Summary

Introduction

A bronchial foreign body is the most common accident in children, second only to car accidents, poisoning, and ranked the third accidental injury. X-ray diagnosis of bronchial foreign body diagnostic coincidence rate is about 40–50%, but its low price, convenient operation, is still one of the screening methods commonly used in primary hospitals. E scanning equipment routinely is used in our hospital including 64slice spiral CT, second-generation new dual-source; 64slice CT is single-emission CT It is a conventional examination device used in the emergency department of our hospital. Mohandes et al showed that CT has high sensitivity and specificity in the imaging diagnosis of the trachea and bronchial foreign bodies, with an accuracy of up to 97%, providing outstanding contributions to the diagnosis and differential diagnosis of difficult cases [7]. Binek et al showed that dual-source CT, with its new hardware and software technology advantages and powerful postprocessing function, is very suitable for examining suspected bronchial foreign bodies in children [8].

Research Methods

The input layer

Research Results

Positive Negative A combined