Evidence map›Paper›PMID 41209220›Full record

ArticleQuantitative imaging in medicine and surgery2025

Artificial pleural effusion-assisted intraoperative ultrasound for the localization of pulmonary tumors during video-assisted thoracic surgery.

Yali Qu, Xiaojing Lin, Lei Li, Wenjuan Xu, Jun Xu, Bingxin Lei, Jie Tu, Muqin Tu, Mi Zhou, Hongchang Luo

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Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Yali Qu *Department of Function, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Xiaojing Lin *Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Lei Li *Department of Thoracic Surgery, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Wenjuan XuDepartment of Function, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Jun XuDepartment of Thoracic Surgery, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Bingxin LeiDepartment of Function, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Jie TuDepartment of Function, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Muqin TuDepartment of Function, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Mi ZhouDepartment of Thoracic Surgery, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
Hongchang LuoDepartment of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intraoperative localization of pulmonary nodules (PNs) is a technical support for video-assisted thoracic surgery (VATS). Failure to accurately localize PNs will necessitate conversion to conventional open chest surgery or transfer to the hybrid operation room, which highlights the importance of intraoperative ultrasound (IOUS) for identifying lesions. We found that PNs could be better visualized with the help of artificial pleural effusion (APE). Therefore, the aim of this study was to investigate the feasibility of APE-assisted IOUS for the visualization of PNs. Methods: Patients who underwent VATS from December 2023 to August 2024 were included in this study. APE was established using saline, and APE-assisted IOUS was applied to localize and make the initial determination of nature. After identifying the suspicious lesions, the surface of the lobe where the nodules were located was marked. The feasibility of APE-assisted IOUS for identifying the nodules was determined based on pathology. Results: In total, 16 PNs of 15 patients included were successfully identified with APE-assisted IOUS. Spearman's correlation analysis showed that there was a significant correlation between the maximum diameter of pulmonary lesions measured by preoperative computed tomography (CT) and IOUS (ρ=0.889, P<0.01). The median localization time with APE-assisted IOUS was 1.00 minute. Conclusions: APE-assisted IOUS can accurately localize PNs, minimizing surgical time and increasing the efficiency of resection.

Indexed as

Artificial pleural effusion (APE)intraoperative ultrasound (IOUS)pulmonary tumorsvideo-assisted thoracic surgery (VATS)

Identifiers

PMID41209220
PMCPMC12591776

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