A robotic system for transthoracic puncture of pulmonary nodules based on gated respiratory compensation

Dongyuan Li; Yuxuan Mao; Puxun Tu; Haochen Shi; Weiyan Sun; Deping Zhao; Chang Chen; Xiaojun Chen

doi:10.1016/j.cmpb.2023.107995

A robotic system for transthoracic puncture of pulmonary nodules based on gated respiratory compensation

Comput Methods Programs Biomed. 2024 Feb:244:107995. doi: 10.1016/j.cmpb.2023.107995. Epub 2023 Dec 23.

Authors

Dongyuan Li¹, Yuxuan Mao¹, Puxun Tu¹, Haochen Shi¹, Weiyan Sun², Deping Zhao², Chang Chen², Xiaojun Chen³

Affiliations

¹ Institute of Biomedical Manufacturing and Life Quality Engineering, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai 200240, China.
² Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
³ Institute of Biomedical Manufacturing and Life Quality Engineering, State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai 200240, China. Electronic address: xiaojunchen@sjtu.edu.cn.

PMID: 38157826
DOI: 10.1016/j.cmpb.2023.107995

Abstract

Background and objective: With the urgent demands for rapid and precise localization of pulmonary nodules in procedures such as transthoracic puncture biopsy and thoracoscopic surgery, many surgical navigation and robotic systems are applied in the clinical practice of thoracic operation. However, current available positioning methods have certain limitations, including high radiation exposure, large errors from respiratory, complicated and time-consuming procedures, etc. METHODS: To address these issues, a preoperative computed tomography (CT) image-guided robotic system for transthoracic puncture was proposed in this study. Firstly, an algorithm for puncture path planning based on constraints from clinical knowledge was developed. This algorithm enables the calculation of Pareto optimal solutions for multiple clinical targets concerning puncture angle, puncture length, and distance from hazardous areas. Secondly, to eradicate intraoperative radiation exposure, a fast registration method based on preoperative CT and gated respiration compensation was proposed. The registration process could be completed by the direct selection of points on the skin near the sternum using a hand-held probe. Gating detection and joint optimization algorithms are then performed on the collected point cloud data to compensate for errors from respiratory motion. Thirdly, to enhance accuracy and intraoperative safety, the puncture guide was utilized as an end effector to restrict the movement of the optically tracked needle, then risky actions with patient contact would be strictly limited.

Results: The proposed system was evaluated through phantom experiments on our custom-designed simulation test platform for patient respiratory motion to assess its accuracy and feasibility. The results demonstrated an average target point error (TPE) of 2.46 ± 0.68 mm and an angle error (AE) of 1.49 ± 0.45° for the robotic system.

Conclusions: In conclusion, our proposed system ensures accuracy, surgical efficiency, and safety while also reducing needle insertions and radiation exposure in transthoracic puncture procedures, thus offering substantial potential for clinical application.

Keywords: Computer-aided surgery; Image-guided surgery; Respiratory compensation; Surgical robot; Transthoracic puncture.

MeSH terms

Algorithms
Biopsy, Needle
Humans
Punctures
Robotic Surgical Procedures* / methods
Surgery, Computer-Assisted* / methods