Computed Tomography and Ultrasound-Guided Robotic Assistance in Percutaneous Puncture in Abdominal Phantom and Porcine Liver Models

Percutaneous puncture is a pivotal technique in diagnosing and treating hepatic lesions; however, traditional manual puncture methods rely heavily on the expertise of medical practitioners. This study aimed to evaluate the feasibility, safety, and efficacy of percutaneous needle placement through the innovative utilization of computed tomography-ultrasound fusion-guided robotic assistance in abdominal phantom and porcine liver models. The abdominal phantom and eight Bama miniature pigs were selected as experimental subjects. Two puncture methods (handheld and robot-assisted puncture) were administered to each simulated tumor with an 18-gauge biopsy needle. All pigs exhibited stable conditions without any complications following the puncture. The Euclidean distance between the needle tip and the predetermined target point of robot-assisted puncture was <inline-formula> <tex-math notation="LaTeX">$3.30~\pm ~1$ </tex-math></inline-formula>.48 mm in the pig model and <inline-formula> <tex-math notation="LaTeX">$2.15~\pm ~0$ </tex-math></inline-formula>.82 mm in the phantom model. The planning time required for the physician to perform robot-assisted needle insertion was <inline-formula> <tex-math notation="LaTeX">$8.25~\pm ~2.59$ </tex-math></inline-formula> min. Robot-assisted needle insertion in percutaneous puncture was accurate and safe in the pig liver model, highlighting its feasibility and potential clinical application.

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Publication Details

Journal
IEEE Transactions on Medical Robotics and Bionics
Published
2025-03-12
DOI
https://doi.org/10.1109/tmrb.2025.3550644
Citations
2
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
2.71
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article

Computed Tomography and Ultrasound-Guided Robotic Assistance in Percutaneous Puncture in Abdominal Phantom and Porcine Liver Models

Peng Lv, Xiao Jing, Aiming Lu, He Xu et al.
2 citations
IEEE Transactions on Medical Robotics and Bionics
Liver Disease Diagnosis and Treatment
2.71
article

Computed Tomography and Ultrasound-Guided Robotic Assistance in Percutaneous Puncture in Abdominal Phantom and Porcine Liver Models

Peng Lv, Xiao Jing, Aiming Lu, He Xu, Yi Zhun Zhu, Yong Li, Yong Wang, Yao Liu, Cheng Wang, Jianjun Zhu, Lige Qiu, Huixia Cai
article en
2 citations

Abstract

Percutaneous puncture is a pivotal technique in diagnosing and treating hepatic lesions; however, traditional manual puncture methods rely heavily on the expertise of medical practitioners. This study aimed to evaluate the feasibility, safety, and efficacy of percutaneous needle placement through the innovative utilization of computed tomography-ultrasound fusion-guided robotic assistance in abdominal phantom and porcine liver models. The abdominal phantom and eight Bama miniature pigs were selected as experimental subjects. Two puncture methods (handheld and robot-assisted puncture) were administered to each simulated tumor with an 18-gauge biopsy needle. All pigs exhibited stable conditions without any complications following the puncture. The Euclidean distance between the needle tip and the predetermined target point of robot-assisted puncture was <inline-formula> <tex-math notation="LaTeX">$3.30~\pm ~1$ </tex-math></inline-formula>.48 mm in the pig model and <inline-formula> <tex-math notation="LaTeX">$2.15~\pm ~0$ </tex-math></inline-formula>.82 mm in the phantom model. The planning time required for the physician to perform robot-assisted needle insertion was <inline-formula> <tex-math notation="LaTeX">$8.25~\pm ~2.59$ </tex-math></inline-formula> min. Robot-assisted needle insertion in percutaneous puncture was accurate and safe in the pig liver model, highlighting its feasibility and potential clinical application.

IEEE Transactions on Medical Robotics and BionicsVol. 7(2)
Macau University of Science and Technology (MO), Jinan University (CN), University of Macau (MO), Second Affiliated Hospital of Guangzhou Medical University (CN), Zhuhai People's Hospital (CN), Robotic Technology (United States) (US), Gree (China) (CN), South China University of Technology (CN), Guangzhou Medical University (CN)
Zero hunger
Openalex Percentile: Top 12%
Liver Disease Diagnosis and Treatment
2.71
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