Internet of Things-Based Ultrasound-Guided Erector Spinae Plane Block Combined with Edaravone Anesthesia in Thoracoscopic Lobectomy.

Xiuyan Wang,Xuan Zhou,Cuijie Liu,Lin Li

doi:10.1155/2021/9510783

Abstract

This paper aimed to study the application value of Internet of Things (IoT) edge computing algorithm-based ultrasound-guided erector spinae plane block combined with edaravone anesthesia in thoracoscopic lobectomy. A total of 110 patients undergoing thoracoscopic resection were selected as subjects. The patients were anesthetized with erector spinae plane block combined with edaravone before surgery and underwent chest ultrasound scan. IoT edge computing algorithm was constructed and applied to ultrasound images of patients to enhance and denoise the images. It was found that, in different mixed noise mixtures (Gaussian noise 10% + speckle noise 90%; Gaussian noise 30% + speckle noise 70%), the edge computing algorithm can still maintain the edge information of the output image, showing better performance on edge information detection and denoising compared with the Prewitt and Canny operator. In addition, visual analog scale (VAS) scores decreased with postoperative time after edaravone anesthesia induction and erector spinae plane block lobectomy and reached the lowest level after five days. In short, erector spinae plane block combined with edaravone showed good sedative and analgesic effects on patients undergoing thoracoscopic lobectomy. Ultrasound images processed by IoT edge computing algorithm showed high accuracy in the identification of lung lesions, which was worth applying to clinical diagnosis.

Highlights

Lobectomy is mainly used for lobectomy of malignant tumors limited to the lung, pulmonary damage caused by tuberculosis, severe bullae, bronchiectasis, interstitial lesions, trauma, and dysplasia
A conventional disinfection towel was taken from the surgical position, and an erector spinae plane block was performed under the guidance of ultrasound. e puncture was performed after local anesthesia with 1% lidocaine at the puncture site
Image edge contains the useful information used for identification in the image, which greatly reduces the amount of data, eliminates the irrelevant information, and retains the important structural attributes of the image. e use of edge detection technology for visual detection has become the latest trend in image sensor adoptions

Summary

Introduction

Lobectomy is mainly used for lobectomy of malignant tumors limited to the lung, pulmonary damage caused by tuberculosis, severe bullae, bronchiectasis, interstitial lesions, trauma, and dysplasia. E right lung is made up of the upper lobe, the middle lobe, and the lower lobe. E left lung is made up of two lobes, the upper lobe and the lower lobe. Lobectomy is suitable for lung cancer and irreversible lesions confined to the lung lobe. It mainly includes right upper lobectomy, right middle lobe lobectomy, right lower lobectomy, left upper lobectomy, and left lower lobectomy. If the lesion involves two lobes or the middle bronchus, upper-middle or lower-middle lobe, two-lobe lung resection is feasible [2]. Oracoscopic lobectomy means that, with the assistance of thoracoscopy, the surgeon only observes the situation in the thoracic cavity in real time through a TV screen and completes the operation through one to four hole-like incisions (without spreading the ribs) with the longest length not exceeding 5 cm. At present, videoassisted thoracic surgery (VATS) lobectomy has basically matured and gained wide acceptance. e surgical technique is gradually refined and perfected day by day [6, 7]. e

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Conclusion