Application of AI versus Mimics software for three-dimensional reconstruction in thoracoscopic anatomic segmentectomy: A retrospective cohort study
- VernacularTitle:AI与Mimics软件行三维重建在胸腔镜下解剖性肺段切除术中应用的回顾性队列研究
- Author:
Chengpeng SANG
1
,
2
;
Yi ZHU
1
,
2
;
Yaqin WANG
1
,
2
;
Li GONG
1
,
2
;
Bo MIN
1
,
2
;
Haibo HU
1
,
2
;
Zhixian TANG
3
Author Information
1. Department of Thoracic and Cardiac Surgery, The Second People s Hospital of Huai&rsquo
2. an, Huai an, 223001, Jiangsu, P. R. China
3. Department of Cardiothoracic Surgery, The First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, Jiangxi, P. R. China
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
three-dimensional reconstruction;
pulmonary segmentectomy;
Mimics
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2025;32(03):313-321
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the application effects of artificial intelligence (AI) software and Mimics software in preoperative three-dimensional (3D) reconstruction for thoracoscopic anatomical pulmonary segmentectomy. Methods A retrospective analysis was conducted on patients who underwent thoracoscopic pulmonary segmentectomy at the Second People's Hospital of Huai'an from October 2019 to March 2024. Patients who underwent AI 3D reconstruction were included in the AI group, those who underwent Mimics 3D reconstruction were included in the Mimics group, and those who did not undergo 3D reconstruction were included in the control group. Perioperative related indicators of each group were compared. Results A total of 168 patients were included, including 73 males and 95 females, aged 25-81 (61.61±10.55) years. There were 79 patients in the AI group, 53 patients in the Mimics group, and 36 patients in the control group. There were no statistical differences in gender, age, smoking history, nodule size, number of lymph node dissection groups, postoperative pathological results, or postoperative complications among the three groups (P>0.05). There were statistical differences in operation time (P<0.001), extubation time (P<0.001), drainage volume (P<0.001), bleeding volume (P<0.001), and postoperative hospital stay (P=0.001) among the three groups. There were no statistical differences in operation time, extubation time, bleeding volume, or postoperative hospital stay between the AI group and the Mimics group (P>0.05). There was no statistical difference in drainage volume between the AI group and the control group (P=0.494), while there were statistical differences in operation time, drainage tube retention time, bleeding volume, and postoperative hospital stay (P<0.05). Conclusion For patients requiring thoracoscopic anatomical pulmonary segmentectomy, preoperative 3D reconstruction and preoperative planning based on 3D images can shorten the operation time, postoperative extubation time and hospital stay, and reduce intraoperative bleeding and postoperative drainage volume compared with reading CT images only. The use of AI software for 3D reconstruction is not inferior to Mimics manual 3D reconstruction in terms of surgical guidance and postoperative recovery, which can reduce the workload of clinicians and is worth promoting.
