利用深度学习对基于计算机断层扫描的径向支气管内超声周边肺部病变进行图像模拟

IF 4.4 1区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY Endoscopic Ultrasound Pub Date : 2024-08-20 DOI:10.1097/eus.0000000000000079
Chunxi Zhang, Yongzheng Zhou, Chuanqi Sun, Jilei Zhang, Junxiang Chen, Xiaoxuan Zheng, Ying Li, Xiaoyao Liu, Weiping Liu, Jiayuan Sun
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引用次数: 0

摘要

背景和目的 径向支气管内超声(R-EBUS)在经支气管取样检查周围肺部病变(PPL)时发挥着重要作用。然而,现有的导航支气管镜系统无法为 R-EBUS 提供指导。为了指导术中的 R-EBUS 探头操作,我们旨在利用深度学习从术前计算机断层扫描(CT)数据中模拟 PPLs 的 R-EBUS 图像。利用超声传播模型将垂直于活检路径的二维 CT 切片转换为超声反射和透射图像,从而获得初始模拟 R-EBUS 图像。对循环生成对抗网络进行了训练,以提高初始模拟图像的逼真度。结果 Wasserstein 距离显示,利用循环生成对抗网络显著提高了真实和模拟 R-EBUS 图像之间的相似度。真实病变与模拟病变在长轴、短轴和面积上的差异无统计学意义(均为 P > 0.05)。结论 用我们的方法生成的 PPLs 仿真 R-EBUS 图像可以近似模拟相应的真实图像,这表明我们的方法具有为术中 R-EBUS 探头操作提供指导的潜力。
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Computed tomography–based radial endobronchial ultrasound image simulation of peripheral pulmonary lesions using deep learning

Background and Objectives 

Radial endobronchial ultrasound (R-EBUS) plays an important role during transbronchial sampling of peripheral pulmonary lesions (PPLs). However, existing navigational bronchoscopy systems provide no guidance for R-EBUS. To guide intraoperative R-EBUS probe manipulation, we aimed to simulate R-EBUS images of PPLs from preoperative computed tomography (CT) data using deep learning.

Materials and Methods 

Preoperative CT and intraoperative ultrasound data of PPLs in 250 patients who underwent R-EBUS–guided transbronchial lung biopsy were retrospectively collected. Two-dimensional CT sections perpendicular to the biopsy path were transformed into ultrasonic reflection and transmission images using an ultrasound propagation model to obtain the initial simulated R-EBUS images. A cycle generative adversarial network was trained to improve the realism of initial simulated images. Objective and subjective indicators were used to evaluate the similarity between real and simulated images.

Results 

Wasserstein distances showed that utilizing the cycle generative adversarial network significantly improved the similarity between real and simulated R-EBUS images. There was no statistically significant difference in the long axis, short axis, and area between real and simulated lesions (all P > 0.05). Based on the experts’ evaluation, a median similarity score of ≥4 on a 5-point scale was obtained for lesion size, shape, margin, internal echoes, and overall similarity.

Conclusions 

Simulated R-EBUS images of PPLs generated by our method can closely mimic the corresponding real images, demonstrating the potential of our method to provide guidance for intraoperative R-EBUS probe manipulation.

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来源期刊
Endoscopic Ultrasound
Endoscopic Ultrasound GASTROENTEROLOGY & HEPATOLOGY-
CiteScore
6.20
自引率
11.10%
发文量
144
期刊介绍: Endoscopic Ultrasound, a publication of Euro-EUS Scientific Committee, Asia-Pacific EUS Task Force and Latin American Chapter of EUS, is a peer-reviewed online journal with Quarterly print on demand compilation of issues published. The journal’s full text is available online at http://www.eusjournal.com. The journal allows free access (Open Access) to its contents and permits authors to self-archive final accepted version of the articles on any OAI-compliant institutional / subject-based repository. The journal does not charge for submission, processing or publication of manuscripts and even for color reproduction of photographs.
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