Progress on three-dimensional visualization technology in precise lung resection_Chinese Journal of Clinical Thoracic and Cardiovascular Surgery

Authors：

YUE Yang ,  XIN Hua

Department of Thoracic Surgery, China-Japan Union Hospital of Jilin University, Changchun, 130033, P. R. China;

Corresponding author：

XIN Hua, Email: 13596118509@163.com

Keywords：

Three-dimensional visualization technology; three-dimensional reconstruction; precise lung resection; review

DOI：

10.7507/1007-4848.202008034

Video：

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Three-dimensional (3D) visualization technology can well characterize lung nodules, accurately locate lung nodules, accurately identify lung anatomical structures, shorten operation time, reduce intraoperative and postoperative complications, and make thoracoscopic precise lung resection safer and more efficient. However, the mastery of 3D reconstruction technology in some hospitals still needs to be improved. Due to the time and economic cost of 3D printing, the development of this technology is restricted. With the application and improvement of 3D visualization technology in more centers in the future, the development of precise lung resection will be more extensive. This article reviewed the progress on 3D visualization technology in thoracoscopic precise lung resection.

Citation： YUE Yang, XIN Hua. Progress on three-dimensional visualization technology in precise lung resection. Chinese Journal of Clinical Thoracic and Cardiovascular Surgery, 2022, 29(2): 262-266. doi: 10.7507/1007-4848.202008034 Copy

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2.	梅建东, 蒲强, 马林, 等. 胸腔镜肺手术中血管损伤出血及其防控策略. 中华外科杂志, 2017, 55(12): 898-902.
3.	Nomori H, Mori T, Shiraishi A, et al. Long-term prognosis after segmentectomy for cT1N0M0 non-small cell lung cancer. Ann Thorac Surg, 2019, 107(5): 1500-1506.
4.	Stiles BM, Mao J, Harrison S, et al. Sublobar resection for node-negative lung cancer 2-5 cm in size. Eur J Cardiothorac Surg, 2019, 56(5): 858-866.
5.	姜睿, 张哲. 三维重建及3D打印在胸外科的应用. 青岛大学医学院学报, 2017, 53(5): 625-627.
6.	薛启煌, Drstvensek I, 邢永振, 等. 基于CTA数据的肝脏MIMICS重建及其3D打印技术. 生物医学工程研究, 2019, 38(4): 466-471.
7.	Park CH, Han K, Hur J, et al. Comparative effectiveness and safety of preoperative lung localization for pulmonary nodules: A systematic review and meta-analysis. Chest, 2017, 151(2): 316-328.
8.	梅建东, 刘伦旭. 胸腔镜解剖性肺切除手术常见意外情况及其处置. 中国肺癌杂志, 2016, 19(6): 382-388.
9.	叶春林, 喻本桐. 三维CT支气管血管成像技术在精准肺段切除中应用的研究进展. 中国医师杂志, 2019, 21(11): 1601-1604.
10.	Zhang L, Li M, Li Z, et al. Three-dimensional printing of navigational template in localization of pulmonary nodule: A pilot study. J Thorac Cardiovasc Surg, 2017, 154(6): 2113-2119.
11.	Zhang L, Wang L, Kadeer X, et al. Accuracy of a 3-dimensionally printed navigational template for localizing small pulmonary nodules: A noninferiority randomized clinical trial. JAMA Surg, 2019, 154(4): 295-303.
12.	Nakajima J. Advances in techniques for identifying small pulmonary nodules. Surg Today, 2019, 49(4): 311-315.
13.	Chen-Yoshikawa TF, Fukui T, Nakamura S, et al. Current trends in thoracic surgery. Nagoya J Med Sci, 2020, 82(2): 161-174.
14.	刘宇健, 杨三虎, 黄立军, 等. 基于体表网格与影像三维重建的肺小结节精准定位法. 中国胸心血管外科临床杂志, 2020, 27(10): 1168-1171.
15.	杨亮亮. 孤立性肺磨玻璃结节的临床特点及其良恶性影响因素研究. 吉林大学, 2019.
16.	彭明政, 李钊, 胡海洋, 等. CT三维重建技术在肺磨玻璃结节诊断中的研究进展. 现代生物医学进展, 2016, 16(22): 4388-4392.
17.	刘加良, 陈文宇, 吕晓东, 等. 64排螺旋CT肺部后处理重建技术在非肺癌性结节诊断中的应用研究. 中国现代医生, 2018, 56(33): 10-13.
18.	姜云飞, 石寒冰, 温丽娟, 等. 256排螺旋CT气道三维重建联合EBUS-GS-TBLB诊断孤立性肺结节. 齐齐哈尔医学院学报, 2019, 40(9): 1115-1116.
19.	李达, 于洋涛, 韩露, 等. 分析64层CT增强扫描与CT数据3D打印技术对肺孤立性结节良恶性的鉴别诊断价值. 河南外科学杂志, 2020, 26(3): 36-38.
20.	许定华, 梁柱, 揭广廉, 等. 术前肺孤立小结节螺旋CT三维重建在胸腔镜肺段切除术中临床应用. 广东医科大学学报, 2019, 37(5): 593-596.
21.	Zhao Q, Kong P, Min J, et al. A review of deep learning methods for the detection and classification of pulmonary nodules. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2019, 36(6): 1060-1068.
22.	Zhao W, Yang J, Sun Y, et al. 3D deep learning from CT scans predicts tumor invasiveness of subcentimeter pulmonary adenocarcinomas. Cancer Res, 2018, 78(24): 6881-6889.
23.	李小军, 朱潇, 杏福宝, 等. 三维重建及3D打印在微创肺外科中的应用. 中华全科医学, 2020, 18(7): 1190-1194.
24.	Tane S, Nishio W, Nishioka Y, et al. Evaluation of the residual lung function after thoracoscopic segmentectomy compared with lobectomy. Ann Thorac Surg, 2019, 108(5): 1543-1550.
25.	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(12): 6598-6605.
26.	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(6): 929-937.
27.	Wu WB, Xia Y, Pan XL, et al. Three-dimensional navigation-guided thoracoscopic combined subsegmentectomy for intersegmental pulmonary nodules. Thorac Cancer, 2019, 10(1): 41-46.
28.	李波, 王宜主, 胡彬, 等. 三维影像重建支气管、血管引导胸腔镜精准肺段、肺亚段切除段间区域结节的策略探讨. 肿瘤预防与治疗, 2019, 32(8): 711-717.
29.	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(2): 401-406.
30.	She XW, Gu YB, Xu C, et al. Three-dimensional (3D)- computed tomography bronchography and angiography combined with 3D-video-assisted thoracic surgery (VATS) versus conventional 2D-VATS anatomic pulmonary segmentectomy for the treatment of non-small cell lung cancer. Thorac Cancer, 2018, 9(2): 305-309.
31.	黄艾, 瞿越, 余政, 等. 三维重建技术在胸腔镜精准肺段切除中的临床应用. 中国医师杂志, 2019, 21(11): 1609-1612.
32.	周元龙, 李山山, 张珂, 等. 三维可视化技术在肝脏外科解剖教学中的进展. 解剖科学进展, 2020, 26(1): 121-122.
33.	Tokuno J, Chen-Yoshikawa TF, Nakao M, et al. Resection process map: A novel dynamic simulation system for pulmonary resection. J Thorac Cardiovasc Surg, 2020, 159(3): 1130-1138.

1. Aresu G. Subxiphoid approach, a new prospective to see the minimally invasive thoracic surgery. J Vis Surg, 2016, 2: 107.
2. 梅建东, 蒲强, 马林, 等. 胸腔镜肺手术中血管损伤出血及其防控策略. 中华外科杂志, 2017, 55(12): 898-902.
3. Nomori H, Mori T, Shiraishi A, et al. Long-term prognosis after segmentectomy for cT1N0M0 non-small cell lung cancer. Ann Thorac Surg, 2019, 107(5): 1500-1506.
4. Stiles BM, Mao J, Harrison S, et al. Sublobar resection for node-negative lung cancer 2-5 cm in size. Eur J Cardiothorac Surg, 2019, 56(5): 858-866.
5. 姜睿, 张哲. 三维重建及3D打印在胸外科的应用. 青岛大学医学院学报, 2017, 53(5): 625-627.
6. 薛启煌, Drstvensek I, 邢永振, 等. 基于CTA数据的肝脏MIMICS重建及其3D打印技术. 生物医学工程研究, 2019, 38(4): 466-471.
7. Park CH, Han K, Hur J, et al. Comparative effectiveness and safety of preoperative lung localization for pulmonary nodules: A systematic review and meta-analysis. Chest, 2017, 151(2): 316-328.
8. 梅建东, 刘伦旭. 胸腔镜解剖性肺切除手术常见意外情况及其处置. 中国肺癌杂志, 2016, 19(6): 382-388.
9. 叶春林, 喻本桐. 三维CT支气管血管成像技术在精准肺段切除中应用的研究进展. 中国医师杂志, 2019, 21(11): 1601-1604.
10. Zhang L, Li M, Li Z, et al. Three-dimensional printing of navigational template in localization of pulmonary nodule: A pilot study. J Thorac Cardiovasc Surg, 2017, 154(6): 2113-2119.
11. Zhang L, Wang L, Kadeer X, et al. Accuracy of a 3-dimensionally printed navigational template for localizing small pulmonary nodules: A noninferiority randomized clinical trial. JAMA Surg, 2019, 154(4): 295-303.
12. Nakajima J. Advances in techniques for identifying small pulmonary nodules. Surg Today, 2019, 49(4): 311-315.
13. Chen-Yoshikawa TF, Fukui T, Nakamura S, et al. Current trends in thoracic surgery. Nagoya J Med Sci, 2020, 82(2): 161-174.
14. 刘宇健, 杨三虎, 黄立军, 等. 基于体表网格与影像三维重建的肺小结节精准定位法. 中国胸心血管外科临床杂志, 2020, 27(10): 1168-1171.
15. 杨亮亮. 孤立性肺磨玻璃结节的临床特点及其良恶性影响因素研究. 吉林大学, 2019.
16. 彭明政, 李钊, 胡海洋, 等. CT三维重建技术在肺磨玻璃结节诊断中的研究进展. 现代生物医学进展, 2016, 16(22): 4388-4392.
17. 刘加良, 陈文宇, 吕晓东, 等. 64排螺旋CT肺部后处理重建技术在非肺癌性结节诊断中的应用研究. 中国现代医生, 2018, 56(33): 10-13.
18. 姜云飞, 石寒冰, 温丽娟, 等. 256排螺旋CT气道三维重建联合EBUS-GS-TBLB诊断孤立性肺结节. 齐齐哈尔医学院学报, 2019, 40(9): 1115-1116.
19. 李达, 于洋涛, 韩露, 等. 分析64层CT增强扫描与CT数据3D打印技术对肺孤立性结节良恶性的鉴别诊断价值. 河南外科学杂志, 2020, 26(3): 36-38.
20. 许定华, 梁柱, 揭广廉, 等. 术前肺孤立小结节螺旋CT三维重建在胸腔镜肺段切除术中临床应用. 广东医科大学学报, 2019, 37(5): 593-596.
21. Zhao Q, Kong P, Min J, et al. A review of deep learning methods for the detection and classification of pulmonary nodules. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi, 2019, 36(6): 1060-1068.
22. Zhao W, Yang J, Sun Y, et al. 3D deep learning from CT scans predicts tumor invasiveness of subcentimeter pulmonary adenocarcinomas. Cancer Res, 2018, 78(24): 6881-6889.
23. 李小军, 朱潇, 杏福宝, 等. 三维重建及3D打印在微创肺外科中的应用. 中华全科医学, 2020, 18(7): 1190-1194.
24. Tane S, Nishio W, Nishioka Y, et al. Evaluation of the residual lung function after thoracoscopic segmentectomy compared with lobectomy. Ann Thorac Surg, 2019, 108(5): 1543-1550.
25. 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(12): 6598-6605.
26. 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(6): 929-937.
27. Wu WB, Xia Y, Pan XL, et al. Three-dimensional navigation-guided thoracoscopic combined subsegmentectomy for intersegmental pulmonary nodules. Thorac Cancer, 2019, 10(1): 41-46.
28. 李波, 王宜主, 胡彬, 等. 三维影像重建支气管、血管引导胸腔镜精准肺段、肺亚段切除段间区域结节的策略探讨. 肿瘤预防与治疗, 2019, 32(8): 711-717.
29. 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(2): 401-406.
30. She XW, Gu YB, Xu C, et al. Three-dimensional (3D)- computed tomography bronchography and angiography combined with 3D-video-assisted thoracic surgery (VATS) versus conventional 2D-VATS anatomic pulmonary segmentectomy for the treatment of non-small cell lung cancer. Thorac Cancer, 2018, 9(2): 305-309.
31. 黄艾, 瞿越, 余政, 等. 三维重建技术在胸腔镜精准肺段切除中的临床应用. 中国医师杂志, 2019, 21(11): 1609-1612.
32. 周元龙, 李山山, 张珂, 等. 三维可视化技术在肝脏外科解剖教学中的进展. 解剖科学进展, 2020, 26(1): 121-122.
33. Tokuno J, Chen-Yoshikawa TF, Nakao M, et al. Resection process map: A novel dynamic simulation system for pulmonary resection. J Thorac Cardiovasc Surg, 2020, 159(3): 1130-1138.

Chinese Journal of Clinical Thoracic and Cardiovascular Surgery

Progress on three-dimensional visualization technology in precise lung resection

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