Three-dimensional reconstruction/personalized three-dimensional printed model for thoracoscopic anatomical partial-lobectomy in stage I lung cancer: a retrospective study

Bin Qiu, Ying Ji, Huayu He, Jun Zhao, Qi Xue, Shugeng Gao, Bin Qiu, Ying Ji, Huayu He, Jun Zhao, Qi Xue, Shugeng Gao

Abstract

Background: Considering the complexity of vascular or bronchial variations and the difficulty of nodule localization during segmental resection, the three-dimensional (3D) reconstruction and printing model can provide a guarantee for safe operation and, to some extent, can simplify the surgical procedure. We conducted this study to estimate the avail of 3D reconstruction and personalized model in anatomical partial-lobectomy (APL).

Methods: We prospectively collected and retrospectively reviewed the data of 298 cases who underwent APL in our institute from April 2017 to May 2019. The patients were divided into "3D-reconstruction" group (131 patients), "3D model" group (31 patients) and "non-3D" group (136 patients). We adopted the ANOVA analysis and Chi-square test to compare the perioperative data between the three groups. Subjective satisfaction questionnaires for surgeons were provided to evaluate the value of personalized 3D printed model.

Results: The proportion of complex segmentectomy in 3D model group (87.1%) was significantly higher than that in the 3D-reconstruction group (60.3%) and non-3D group (55.9%) (P=0.006), and the average operation time of complex segmentectomy in 3D model group (99.56 minutes) was significantly shorter than that of the other group (all P<0.05). The average intraoperative blood loss in the 3D model group (12.9 mL) was significantly lower than that in the 3D reconstruction group (20.9 mL) (P=0.001) and non-3D group (18.2 mL) (P=0.022). For simple segmentectomy, the operation time, postoperative drainage, and postoperative hospital stay were similar among the three groups. The questionnaire survey showed that most surgeons were satisfied with the clinical effectiveness of the personalized 3D printed model.

Conclusions: 3D printing technology can improve understanding of the anatomy, decrease the operation time, and reduce the potential risk of thoracoscopic anatomical partial lobectomy in stage I lung cancer. A pre-operative rating scale was designed to standardize the application of this technology.

Keywords: Anatomical partial-lobectomy (APL); lung cancer; three-dimensional printing (3D printing).

Conflict of interest statement

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/tlcr-20-571). The authors have no conflicts of interest to declare.

2020 Translational Lung Cancer Research. All rights reserved.

Figures

Figure 1
Figure 1
The CT scan, 3D simulation, and 3D model of a 43-year-old female patient. One lesion was found in the left lower lobe. According to the scrutiny of 3D simulation and 3D model, anatomical partial lobectomy with left S8a + S9a (LS8a + LS9a) was performed. Postoperative pathological results showed that the lesion was adenocarcinoma in situ (AIS). The resection margin distance was more than 2 cm. (A) CT scans showed that a thin-walled cystic lesion was located in the left lobe (S8a + S9a); (B) the reconstructed image showed the relationship between lesion and arteries; (C) 3D reconstruction imaging showed the location relationship between the lesion and pulmonary veins; (D) planning resection region and target lung segment by 3D simulation; (E) personalization 3D printed model; (F) place the 3D model in front of the video-assisted thoracoscopic display for real-time intraoperative reference.
Video 1
Video 1
Anatomical partial lobectomy with left S8a+S9a.
Figure 2
Figure 2
Doctor’s subjective questionnaire.

References

    1. Schubert C, van Langeveld MC, Donoso LA. Innovations in 3D printing: a 3D overview from optics to organs. Br J Ophthalmol 2014;98:159-61. 10.1136/bjophthalmol-2013-304446
    1. Liu X, Zhao Y, Xuan Y, et al. Three-dimensional printing in the preoperative planning of thoracoscopic pulmonary segmentectomy. Transl Lung Cancer Res 2019;8:929-37. 10.21037/tlcr.2019.11.27
    1. Akiba T, Inagaki T, Nakada T. Three-dimensional printing model of anomalous bronchi before surgery. Ann Thorac Cardiovasc Surg 2014;20 Suppl:659-62. 10.5761/atcs.cr.13-00189
    1. Fan Y, Wong RHL, Lee AP. Three-dimensional printing in structural heart disease and intervention. Ann Transl Med 2019;7:579. 10.21037/atm.2019.09.73
    1. Noecker AM, Chen JF, Zhou Q, et al. Development of patient-specific three-dimensional pediatric cardiac models. Asaio J 2006;52:349-53. 10.1097/01.mat.0000217962.98619.ab
    1. Sun X, Zhang H, Zhu K, et al. Curved section modeling-based three-dimensional printing for guiding septal myectomy. J Thorac Dis 2018;10:E535-7. 10.21037/jtd.2018.06.27
    1. Martelli N, Serrano C, van den Brink H, et al. Advantages and disadvantages of 3-dimensional printing in surgery: A systematic review. Surgery 2016;159:1485-500. 10.1016/j.surg.2015.12.017
    1. Ji Z, Sun H, Jiang Y, et al. Comparative study for CT-guided (125)I seed implantation assisted by 3D printing coplanar and non-coplanar template in peripheral lung cancer. J Contemp Brachytherapy 2019;11:169-73. 10.5114/jcb.2019.84503
    1. Aokage K, Yoshida J, Hishida T, et al. Limited resection for early-stage non-small cell lung cancer as function-preserving radical surgery: a review. Jpn J Clin Oncol 2017;47:7-11. 10.1093/jjco/hyw148
    1. Okada M, Koike T, Higashiyama M, et al. Radical sublobar resection for small-sized non-small cell lung cancer: a multicenter study. J Thorac Cardiovasc Surg 2006;132:769-75. 10.1016/j.jtcvs.2006.02.063
    1. Keenan RJ, Landreneau RJ, Maley RH, Jr, et al. Segmental resection spares pulmonary function in patients with stage I lung cancer. Ann Thorac Surg 2004;78:228-33; discussion 233. 10.1016/j.athoracsur.2004.01.024
    1. Gao S, Qiu B, Li F, et al. Comparison of thoracoscopic anatomical partial-lobectomy and thoracoscopic lobectomy on the patients with pT1aN0M0 peripheral non-small cell lung cancer. Zhonghua Wai Ke Za Zhi 2015;53:727-30.
    1. Shimizu K, Nagashima T, Ohtaki Y, et al. Analysis of the variation pattern in right upper pulmonary veins and establishment of simplified vein models for anatomical segmentectomy. Gen Thorac Cardiovasc Surg 2016;64:604-11. 10.1007/s11748-016-0686-4
    1. Ettinger DS, Aisner DL, Wood DE, et al. NCCN Guidelines Insights: Non-Small Cell Lung Cancer, Version 5.2018. J Natl Compr Canc Netw 2018;16:807-21. 10.6004/jnccn.2018.0062
    1. Katayama H, Kurokawa Y, Nakamura K, et al. Extended Clavien-Dindo classification of surgical complications: Japan Clinical Oncology Group postoperative complications criteria. Surg Today 2016;46:668-85. 10.1007/s00595-015-1236-x
    1. Valverde I, Gomez-Ciriza G, Hussain T, et al. Three-dimensional printed models for surgical planning of complex congenital heart defects: an international multicentre study. Eur J Cardiothorac Surg 2017;52:1139-48. 10.1093/ejcts/ezx208
    1. Cantinotti M, Valverde I, Kutty S. Three-dimensional printed models in congenital heart disease. Int J Cardiovasc Imaging 2017;33:137-44. 10.1007/s10554-016-0981-2
    1. Zabaleta J, Aguinagalde B, Lopez I, et al. Creation of a multidisciplinary and multicenter study group for the use of 3D printing in general thoracic surgery: lessons learned in our first year experience. Med Devices (Auckl) 2019;12:143-9. 10.2147/MDER.S203610
    1. Kurenov SN, Ionita C, Sammons D, et al. Three-dimensional printing to facilitate anatomic study, device development, simulation, and planning in thoracic surgery. J Thorac Cardiovasc Surg 2015;149:973-9.e1. 10.1016/j.jtcvs.2014.12.059
    1. Hagiwara M, Shimada Y, Kato Y, et al. High-quality 3-dimensional image simulation for pulmonary lobectomy and segmentectomy: results of preoperative assessment of pulmonary vessels and short-term surgical outcomes in consecutive patients undergoing video-assisted thoracic surgerydagger. Eur J Cardiothorac Surg 2014;46:e120-6. 10.1093/ejcts/ezu375
    1. Kato H, Oizumi H, Suzuki J, et al. Thoracoscopic anatomical lung segmentectomy using 3D computed tomography simulation without tumour markings for non-palpable and non-visualized small lung nodules. Interact Cardiovasc Thorac Surg 2017;25:434-41. 10.1093/icvts/ivx113
    1. Xue L, Fan H, Shi W, et al. Preoperative 3-dimensional computed tomography lung simulation before video-assisted thoracoscopic anatomic segmentectomy for ground glass opacity in lung. J Thorac Dis 2018;10:6598-605. 10.21037/jtd.2018.10.126
    1. Smelt JLC, Suri T, Valencia O, et al. Operative Planning in Thoracic Surgery: A Pilot Study Comparing Imaging Techniques and Three-Dimensional Printing. Ann Thorac Surg 2019;107:401-6. 10.1016/j.athoracsur.2018.08.052

Source: PubMed

3
Se inscrever