Literature DB >> 33275930

Augmented Reality and 3-Dimensional Printing Technologies for Guiding Complex Thoracoscopic Surgery.

Chengrun Li1, Bin Zheng2, QiLin Yu3, Bo Yang1, Chaoyang Liang1, Yang Liu4.   

Abstract

BACKGROUND: Virtual 3-dimentional models of the lungs have been used for guiding thoracoscopic procedures including segmentectomy and subsegmentectomy. However, the virtual models displayed on the screen were not tangible. A printed model with assistance of augmented reality (AR) might add value to guide surgical performance. We wanted to investigate whether the combined technology with patient-specific printed models and the AR display could offer better surgical outcomes than the on-screen models in complex thoracoscopic surgery.
METHODS: A total of 142 patients with early lung cancers undertaking thoracoscopic segmentectomy or subsegmentectomy. The 3-dimentional lung models were either displayed on screen (n = 87) or printed out and displayed using AR (n = 55) in the operating room. A propensity score-matching analysis was used to compare the surgical outcomes between the 2 groups.
RESULTS: The surgical outcomes data before and after propensity score matching showed 3-dimensional printing with AR had a shorter operating time (P = .001 and .001, respectively), less intraoperative blood loss (P = .024 and .006, respectively), and shorter length of hospital stay (P = .001 and .001, respectively) than the on-screen group. The complications and operating success rate (P = .846 and >.999, respectively) and (P = .567 and >.999, respectively) were not significantly different. Surgeons gave a higher score in the tangible group than in the on-screen group (P = .001 vs .001, respectively).
CONCLUSIONS: The printed 3-dimentional models enabled surgeons to see and touch interior structures of the lung. The AR provided instant guidance to the surgery in the operating room. The combination of these technologies produced positive values in guiding laparoscopic lung surgery.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Year:  2020        PMID: 33275930     DOI: 10.1016/j.athoracsur.2020.10.037

Source DB:  PubMed          Journal:  Ann Thorac Surg        ISSN: 0003-4975            Impact factor:   4.330


  4 in total

1.  Robotic versus thoracoscopic combined anatomic subsegmentectomy for early-stage lung cancer: early results of a cohort study.

Authors:  Zheng Jian; Chengqiang Li; Xijia Feng; Zhengxin Yin; Yichao Han; Yajie Zhang; Dingpei Han; Jie Xiang; Hecheng Li
Journal:  J Thorac Dis       Date:  2022-05       Impact factor: 3.005

2.  Application Research of Three-Dimensional Printing Technology and Three-Dimensional Computed Tomography in Segmentectomy.

Authors:  Li Tongxin; Xu Jing; Wang Runyuan; Wu Wei; Zhou Yu; Wang Dong; He Wang; Wu Yi; He Ping; Fu Yong
Journal:  Front Surg       Date:  2022-04-29

Review 3.  Artificial intelligence assisted display in thoracic surgery: development and possibilities.

Authors:  Zhuxing Chen; Yudong Zhang; Zeping Yan; Junguo Dong; Weipeng Cai; Yongfu Ma; Jipeng Jiang; Keyao Dai; Hengrui Liang; Jianxing He
Journal:  J Thorac Dis       Date:  2021-12       Impact factor: 3.005

4.  Augmented reality-assisted localization of solitary pulmonary nodules for precise sublobar lung resection: a preliminary study using an animal model.

Authors:  Mingzheng Peng; Lingming Yu; Yang Zhou; Yunhai Yang; Qingquan Luo; Xinghua Cheng
Journal:  Transl Lung Cancer Res       Date:  2021-11
  4 in total

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