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基于超声图像的神经立体重建技术在神经性肌萎缩诊断中的应用。

Application of a nerve stereoscopic reconstruction technique based on ultrasonic images in the diagnosis of neuralgic amyotrophy.

作者信息

Yu Miao, Ding Wenquan, Shao Guoqing, Li Miaozhong, Zhou Xiaoling, Liu Linhai, Li Xueyuan

机构信息

Department of Hand Surgery, Ningbo No. 6 Hospital, Ningbo, China.

Department of Plastic Reconstructive Surgery, Ningbo No. 6 Hospital, Ningbo, China.

出版信息

Front Physiol. 2023 Sep 18;14:1201275. doi: 10.3389/fphys.2023.1201275. eCollection 2023.

Abstract

To propose a nerve stereoscopic reconstruction technique based on ultrasound imaging for site diagnosis, intuitive reflection of disease severity, and classification of neuralgic amyotrophy (NA). We enrolled 44 patients with NA who underwent high-frequency ultrasonography examination. Multiple sites on the normal side and the affected side were scanned to calculate the ratio of the cross-section area (CSA) of the affected side to the normal side at each location measured, i.e., the cross-section area swelling ratio (CSASR). The CSASR of 44 patients and 30 normal controls was analyzed to determine their threshold value for the diagnosis of NA. Then, ultrasound images of the cross-section were used to reconstruct the stereoscopic model of the nerve on the affected side and the normal side. Using the CSASR values in each measurement location, a CSASR stereoscopic model was developed. The threshold value of CSASR for ultrasound diagnosis of NA was 1.55. The average diseased segments per patient was 2.49 ± 1.97, with an average overall length of 10.03 ± 7.95 cm. Nerve stereoscopic reconstruction could be conducted for swelling, torsion, incomplete constriction, and complete constriction. The ultrasound image reconstruction method proposed in this study can accurately determine the site, range, and type of neuropathies in patients with NA, and simultaneously provide complete and accurate data information and intuitive morphological information.

摘要

提出一种基于超声成像的神经立体重建技术,用于部位诊断、直观反映疾病严重程度以及对神经性肌萎缩(NA)进行分类。我们纳入了44例接受高频超声检查的NA患者。对正常侧和患侧的多个部位进行扫描,以计算每个测量部位患侧与正常侧的横截面积(CSA)之比,即横截面积肿胀率(CSASR)。分析44例患者和30例正常对照的CSASR,以确定其用于NA诊断的阈值。然后,利用横截面的超声图像重建患侧和正常侧神经的立体模型。根据每个测量部位的CSASR值,建立了CSASR立体模型。超声诊断NA的CSASR阈值为1.55。每位患者的平均病变节段数为2.49±1.97,平均总长度为10.03±7.95 cm。可以对肿胀、扭转、不完全狭窄和完全狭窄进行神经立体重建。本研究提出的超声图像重建方法能够准确确定NA患者神经病变的部位、范围和类型,同时提供完整准确的数据信息和直观的形态学信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93f8/10543234/c83ffd0e6b37/fphys-14-1201275-g001.jpg

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