Literature DB >> 33751118

A three-dimensional printing navigational template combined with mixed reality technique for localizing pulmonary nodules.

Rui Fu1,2, Chao Zhang1, Tao Zhang1,2, Xiang-Peng Chu1, Wen-Fang Tang1,2, Xue-Ning Yang1, Mei-Ping Huang3, Jian Zhuang4, Yi-Long Wu1, Wen-Zhao Zhong1.   

Abstract

OBJECTIVES: Localizing non-palpable pulmonary nodules is challenging for thoracic surgeons. Here, we investigated the accuracy of three-dimensional (3D) printing technology combined with mixed reality (MR) for localizing ground glass opacity-dominant pulmonary nodules.
METHODS: In this single-arm study, we prospectively enrolled patients with small pulmonary nodules (<2 cm) that required accurate localization. A 3D-printing physical navigational template was designed based on the reconstruction of computed tomography images, and a 3D model was generated through the MR glasses. We set the deviation distance as the primary end point for efficacy evaluation. Clinicopathological and surgical data were obtained for further analysis.
RESULTS: Sixteen patients with 17 non-palpable pulmonary nodules were enrolled in this study. Sixteen nodules were localized successfully (16/17; 94.1%) using this novel approach with a median deviation of 9 mm. The mean time required for localization was 25 ± 5.2 min. For the nodules in the upper/middle and lower lobes, the median deviation was 6 mm (range, 0-12.0) and 16 mm (range, 15.0-20.0), respectively. The deviation difference between the groups was significant (Z = -2.957, P = 0.003). The pathological evaluation of resection margins was negative.
CONCLUSIONS: The 3D printing navigational template combined with MR can be a feasible approach for localizing pulmonary nodules.
© The Author(s) 2020. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

Entities:  

Keywords:  Ground glass opacity; Lung cancer; Mixed reality; Pulmonary nodules; Three-dimensional printing

Mesh:

Year:  2021        PMID: 33751118      PMCID: PMC8923295          DOI: 10.1093/icvts/ivaa300

Source DB:  PubMed          Journal:  Interact Cardiovasc Thorac Surg        ISSN: 1569-9285


  25 in total

1.  3D printing based on imaging data: review of medical applications.

Authors:  F Rengier; A Mehndiratta; H von Tengg-Kobligk; C M Zechmann; R Unterhinninghofen; H-U Kauczor; F L Giesel
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-05-15       Impact factor: 2.924

2.  Video-assisted thoracoscopic resection of a small pulmonary nodule after computed tomography-guided localization with a hook-wire system. Experience in 45 consecutive patients.

Authors:  Olivier Pittet; Michel Christodoulou; Edgardo Pezzetta; Sabine Schmidt; Pierre Schnyder; Hans-Beat Ris
Journal:  World J Surg       Date:  2007-03       Impact factor: 3.352

3.  Mixed reality holograms for heart surgery planning: first user experience in congenital heart disease.

Authors:  H Brun; R A B Bugge; L K R Suther; S Birkeland; R Kumar; E Pelanis; O J Elle
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2019-08-01       Impact factor: 6.875

4.  Intraoperative electromagnetic navigational bronchoscopic localization of small, deep, or subsolid pulmonary nodules.

Authors:  Abbas Abbas; Sagar Kadakia; Vishnu Ambur; Kimberly Muro; Larry Kaiser
Journal:  J Thorac Cardiovasc Surg       Date:  2017-02-07       Impact factor: 5.209

Review 5.  Three dimensional printing: A review on the utility within medicine and otolaryngology.

Authors:  Rachel Kaye; Todd Goldstein; David Zeltsman; Daniel A Grande; Lee P Smith
Journal:  Int J Pediatr Otorhinolaryngol       Date:  2016-08-12       Impact factor: 1.675

6.  Comparison of pulmonary segmentectomy and lobectomy: Safety results of a randomized trial.

Authors:  Kenji Suzuki; Hisashi Saji; Keiju Aokage; Shun-Ichi Watanabe; Morihito Okada; Junki Mizusawa; Ryu Nakajima; Masahiro Tsuboi; Shinichiro Nakamura; Kenichi Nakamura; Tetsuya Mitsudomi; Hisao Asamura
Journal:  J Thorac Cardiovasc Surg       Date:  2019-04-09       Impact factor: 5.209

7.  A prospective radiological study of thin-section computed tomography to predict pathological noninvasiveness in peripheral clinical IA lung cancer (Japan Clinical Oncology Group 0201).

Authors:  Kenji Suzuki; Teruaki Koike; Takashi Asakawa; Masahiko Kusumoto; Hisao Asamura; Kanji Nagai; Hirohito Tada; Tetsuya Mitsudomi; Masahiro Tsuboi; Taro Shibata; Haruhiko Fukuda; Harubumi Kato
Journal:  J Thorac Oncol       Date:  2011-04       Impact factor: 15.609

8.  The solitary pulmonary nodule.

Authors:  Bethany B Tan; Kevin R Flaherty; Ella A Kazerooni; Mark D Iannettoni
Journal:  Chest       Date:  2003-01       Impact factor: 9.410

9.  Three-Dimensional Printing of Reduction Template in the Contouring of Craniofacial Fibrous Dysplasia.

Authors:  Ruichen Wang; Guizhen Li; Chunming Liu; Chiyu Jia; Yan Han
Journal:  J Craniofac Surg       Date:  2016-10       Impact factor: 1.046

10.  The clinical application value of mixed-reality-assisted surgical navigation for laparoscopic nephrectomy.

Authors:  Guan Li; Jie Dong; Jinbao Wang; Dongbing Cao; Xin Zhang; Zhiqiang Cao; Guangming Lu
Journal:  Cancer Med       Date:  2020-06-15       Impact factor: 4.452

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  1 in total

Review 1.  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

  1 in total

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