Application and development of electromagnetic navigation bronchoscopy in the view of artificial intelligence_Chinese Journal of Clinical Thoracic and Cardiovascular Surgery

Authors：

MA Honghai , AN Zhou ,  HU Jian

Department of General Thoracic Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, P.R.China;

Corresponding author：

HU Jian, Email: dr_hujian@zju.edu.cn

Keywords：

Electromagnetic navigation bronchoscopy; peripheral pulmonary nodule; artificial intelligence; review

DOI：

10.7507/1007-4848.202012086

Video：

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The coming out of electromagnetic navigation bronchoscopy gives exciting solution for diagnosis and even treatment of peripheral pulmonary nodules. It breaks the barriers of traditional bronchoscopy, and gives live visible imaging guidance for operators during biopsy of peripheral pulmonary nodules. The electromagnetic navigation bronchoscopy system can intelligently recognize and reconstruct the bronchial tree of the patients, and generate visible data and virtual guidance for the operators. It can perceive real-time magnetic localization of the signal, so as to precisely guide the navigational or biopsy tools. This review introduced the artificial intelligence configuration of the electromagnetic navigation bronchoscopy system based on the Veran system, and gave some improvement advices based on the defects of the system. In this way, we hope to promote the development and better clinical application of electromagnetic navigation bronchoscopy system.

Citation： MA Honghai, AN Zhou, HU Jian. Application and development of electromagnetic navigation bronchoscopy in the view of artificial intelligence. Chinese Journal of Clinical Thoracic and Cardiovascular Surgery, 2022, 29(1): 133-137. doi: 10.7507/1007-4848.202012086 Copy

1.	Solomon SB, White P, Acker DE, et al. Real-time bronchoscope tip localization enables three-dimensional CT image guidance for transbronchial needle aspiration in swine. Chest, 1998, 114(5): 1405-1410.
2.	Solomon SB, White P, Wiener CM, et al. Three-dimensional CT-guided bronchoscopy with a real-time electromagnetic position sensor: A comparison of two image registration methods. Chest, 2000, 118(6): 1783-1787.
3.	Mehta AC, Hood KL, Schwarz Y, et al. The evolutional history of electromagnetic navigation bronchoscopy: State of the art. Chest, 2018, 154(4): 935-947.
4.	Seijo LM, de Torres JP, Lozano MD, et al. Diagnostic yield of electromagnetic navigation bronchoscopy is highly dependent on the presence of a Bronchus sign on CT imaging: Results from a prospective study. Chest, 2010, 138(6): 1316-1321.
5.	Gex G, Pralong JA, Combescure C, et al. Diagnostic yield and safety of electromagnetic navigation bronchoscopy for lung nodules: A systematic review and meta-analysis. Respiration, 2014, 87(2): 165-176.
6.	Eberhardt R, Anantham D, Ernst A, et al. Multimodality bronchoscopic diagnosis of peripheral lung lesions: A randomized controlled trial. Am J Respir Crit Care Med, 2007, 176(1): 36-41.
7.	Karnak D, Ciledağ A, Ceyhan K, et al. Rapid on-site evaluation and low registration error enhance the success of electromagnetic navigation bronchoscopy. Ann Thorac Med, 2013, 8(1): 28-32.
8.	Mukherjee S, Chacey M. Diagnostic yield of electromagnetic navigation bronchoscopy using a curved-tip catheter to aid in the diagnosis of pulmonary lesions. J Bronchology Interv Pulmonol, 2017, 24(1): 35-39.
9.	Flenaugh E, Mohammed K. Initial experience using 4D electromagnetic navigation bronchoscopy system with tip tracked instruments for localization of peripheral lung nodules. Int J Pulm Med, 2016, 18: 1-7.
10.	高奇琦, 吕俊延. 智能医疗: 人工智能时代对公共卫生的机遇与挑战. 电子政务, 2017, 11(179): 11-19.
11.	Chaddha U, Kovacs SP, Manley C, et al. Robot-assisted bronchoscopy for pulmonary lesion diagnosis: Results from the initial multicenter experience. BMC Pulm Med, 2019, 19(1): 243.
12.	Rivera MP, Mehta AC, Wahidi MM. Establishing the diagnosis of lung cancer: Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest, 2013, 143(5 Suppl): e142S-e165S.
13.	Harms W, Krempien R, Grehn C, et al. Electromagnetically navigated brachytherapy as a new treatment option for peripheral pulmonary tumors. Strahlenther Onkol, 2006, 182(2): 108-111.
14.	Santos RS, Gupta A, Ebright MI, et al. Electromagnetic navigation to aid radiofrequency ablation and biopsy of lung tumors. Ann Thorac Surg, 2010, 89(1): 265-268.
15.	Chen KC, Lee JM. Photodynamic therapeutic ablation for peripheral pulmonary malignancy via electromagnetic navigation bronchoscopy localization in a hybrid operating room (OR): A pioneering study. J Thorac Dis, 2018, 10(Suppl 6): S725-S730.
16.	Xie F, Zheng X, Xiao B, et al. Navigation bronchoscopy-guided radiofrequency ablation for nonsurgical peripheral pulmonary tumors. Respiration, 2017, 94(3): 293-298.

1. Solomon SB, White P, Acker DE, et al. Real-time bronchoscope tip localization enables three-dimensional CT image guidance for transbronchial needle aspiration in swine. Chest, 1998, 114(5): 1405-1410.
2. Solomon SB, White P, Wiener CM, et al. Three-dimensional CT-guided bronchoscopy with a real-time electromagnetic position sensor: A comparison of two image registration methods. Chest, 2000, 118(6): 1783-1787.
3. Mehta AC, Hood KL, Schwarz Y, et al. The evolutional history of electromagnetic navigation bronchoscopy: State of the art. Chest, 2018, 154(4): 935-947.
4. Seijo LM, de Torres JP, Lozano MD, et al. Diagnostic yield of electromagnetic navigation bronchoscopy is highly dependent on the presence of a Bronchus sign on CT imaging: Results from a prospective study. Chest, 2010, 138(6): 1316-1321.
5. Gex G, Pralong JA, Combescure C, et al. Diagnostic yield and safety of electromagnetic navigation bronchoscopy for lung nodules: A systematic review and meta-analysis. Respiration, 2014, 87(2): 165-176.
6. Eberhardt R, Anantham D, Ernst A, et al. Multimodality bronchoscopic diagnosis of peripheral lung lesions: A randomized controlled trial. Am J Respir Crit Care Med, 2007, 176(1): 36-41.
7. Karnak D, Ciledağ A, Ceyhan K, et al. Rapid on-site evaluation and low registration error enhance the success of electromagnetic navigation bronchoscopy. Ann Thorac Med, 2013, 8(1): 28-32.
8. Mukherjee S, Chacey M. Diagnostic yield of electromagnetic navigation bronchoscopy using a curved-tip catheter to aid in the diagnosis of pulmonary lesions. J Bronchology Interv Pulmonol, 2017, 24(1): 35-39.
9. Flenaugh E, Mohammed K. Initial experience using 4D electromagnetic navigation bronchoscopy system with tip tracked instruments for localization of peripheral lung nodules. Int J Pulm Med, 2016, 18: 1-7.
10. 高奇琦, 吕俊延. 智能医疗: 人工智能时代对公共卫生的机遇与挑战. 电子政务, 2017, 11(179): 11-19.
11. Chaddha U, Kovacs SP, Manley C, et al. Robot-assisted bronchoscopy for pulmonary lesion diagnosis: Results from the initial multicenter experience. BMC Pulm Med, 2019, 19(1): 243.
12. Rivera MP, Mehta AC, Wahidi MM. Establishing the diagnosis of lung cancer: Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest, 2013, 143(5 Suppl): e142S-e165S.
13. Harms W, Krempien R, Grehn C, et al. Electromagnetically navigated brachytherapy as a new treatment option for peripheral pulmonary tumors. Strahlenther Onkol, 2006, 182(2): 108-111.
14. Santos RS, Gupta A, Ebright MI, et al. Electromagnetic navigation to aid radiofrequency ablation and biopsy of lung tumors. Ann Thorac Surg, 2010, 89(1): 265-268.
15. Chen KC, Lee JM. Photodynamic therapeutic ablation for peripheral pulmonary malignancy via electromagnetic navigation bronchoscopy localization in a hybrid operating room (OR): A pioneering study. J Thorac Dis, 2018, 10(Suppl 6): S725-S730.
16. Xie F, Zheng X, Xiao B, et al. Navigation bronchoscopy-guided radiofrequency ablation for nonsurgical peripheral pulmonary tumors. Respiration, 2017, 94(3): 293-298.

Chinese Journal of Clinical Thoracic and Cardiovascular Surgery

Application and development of electromagnetic navigation bronchoscopy in the view of artificial intelligence

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