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.	梅建東, 蒲強, 馬林, 等. 胸腔鏡肺手術中血管損傷出血及其防控策略. 中華外科雜志, 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, 張哲. 三維重建及3D打印在胸外科的應用. 青島大學醫學院學報, 2017, 53(5): 625-627.
6.	薛啟煌, Drstvensek I, 邢永振, 等. 基于CTA數據的肝臟MIMICS重建及其3D打印技術. 生物醫學工程研究, 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.	梅建東, 劉倫旭. 胸腔鏡解剖性肺切除手術常見意外情況及其處置. 中國肺癌雜志, 2016, 19(6): 382-388.
9.	葉春林, 喻本桐. 三維CT支氣管血管成像技術在精準肺段切除中應用的研究進展. 中國醫師雜志, 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.	劉宇健, 楊三虎, 黃立軍, 等. 基于體表網格與影像三維重建的肺小結節精準定位法. 中國胸心血管外科臨床雜志, 2020, 27(10): 1168-1171.
15.	楊亮亮. 孤立性肺磨玻璃結節的臨床特點及其良惡性影響因素研究. 吉林大學, 2019.
16.	彭明政, 李釗, 胡海洋, 等. CT三維重建技術在肺磨玻璃結節診斷中的研究進展. 現代生物醫學進展, 2016, 16(22): 4388-4392.
17.	劉加良, 陳文宇, 呂曉東, 等. 64排螺旋CT肺部后處理重建技術在非肺癌性結節診斷中的應用研究. 中國現代醫生, 2018, 56(33): 10-13.
18.	姜云飛, 石寒冰, 溫麗娟, 等. 256排螺旋CT氣道三維重建聯合EBUS-GS-TBLB診斷孤立性肺結節. 齊齊哈爾醫學院學報, 2019, 40(9): 1115-1116.
19.	李達, 于洋濤, 韓露, 等. 分析64層CT增強掃描與CT數據3D打印技術對肺孤立性結節良惡性的鑒別診斷價值. 河南外科學雜志, 2020, 26(3): 36-38.
20.	許定華, 梁柱, 揭廣廉, 等. 術前肺孤立小結節螺旋CT三維重建在胸腔鏡肺段切除術中臨床應用. 廣東醫科大學學報, 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.	李小軍, 朱瀟, 杏福寶, 等. 三維重建及3D打印在微創肺外科中的應用. 中華全科醫學, 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. 三維影像重建支氣管、血管引導胸腔鏡精準肺段、肺亞段切除段間區域結節的策略探討. 腫瘤預防與治療, 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.	黃艾, 瞿越, 余政, 等. 三維重建技術在胸腔鏡精準肺段切除中的臨床應用. 中國醫師雜志, 2019, 21(11): 1609-1612.
32.	周元龍, 李山山, 張珂, 等. 三維可視化技術在肝臟外科解剖教學中的進展. 解剖科學進展, 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. 梅建東, 蒲強, 馬林, 等. 胸腔鏡肺手術中血管損傷出血及其防控策略. 中華外科雜志, 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, 張哲. 三維重建及3D打印在胸外科的應用. 青島大學醫學院學報, 2017, 53(5): 625-627.
6. 薛啟煌, Drstvensek I, 邢永振, 等. 基于CTA數據的肝臟MIMICS重建及其3D打印技術. 生物醫學工程研究, 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. 梅建東, 劉倫旭. 胸腔鏡解剖性肺切除手術常見意外情況及其處置. 中國肺癌雜志, 2016, 19(6): 382-388.
9. 葉春林, 喻本桐. 三維CT支氣管血管成像技術在精準肺段切除中應用的研究進展. 中國醫師雜志, 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. 劉宇健, 楊三虎, 黃立軍, 等. 基于體表網格與影像三維重建的肺小結節精準定位法. 中國胸心血管外科臨床雜志, 2020, 27(10): 1168-1171.
15. 楊亮亮. 孤立性肺磨玻璃結節的臨床特點及其良惡性影響因素研究. 吉林大學, 2019.
16. 彭明政, 李釗, 胡海洋, 等. CT三維重建技術在肺磨玻璃結節診斷中的研究進展. 現代生物醫學進展, 2016, 16(22): 4388-4392.
17. 劉加良, 陳文宇, 呂曉東, 等. 64排螺旋CT肺部后處理重建技術在非肺癌性結節診斷中的應用研究. 中國現代醫生, 2018, 56(33): 10-13.
18. 姜云飛, 石寒冰, 溫麗娟, 等. 256排螺旋CT氣道三維重建聯合EBUS-GS-TBLB診斷孤立性肺結節. 齊齊哈爾醫學院學報, 2019, 40(9): 1115-1116.
19. 李達, 于洋濤, 韓露, 等. 分析64層CT增強掃描與CT數據3D打印技術對肺孤立性結節良惡性的鑒別診斷價值. 河南外科學雜志, 2020, 26(3): 36-38.
20. 許定華, 梁柱, 揭廣廉, 等. 術前肺孤立小結節螺旋CT三維重建在胸腔鏡肺段切除術中臨床應用. 廣東醫科大學學報, 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. 李小軍, 朱瀟, 杏福寶, 等. 三維重建及3D打印在微創肺外科中的應用. 中華全科醫學, 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. 三維影像重建支氣管、血管引導胸腔鏡精準肺段、肺亞段切除段間區域結節的策略探討. 腫瘤預防與治療, 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. 黃艾, 瞿越, 余政, 等. 三維重建技術在胸腔鏡精準肺段切除中的臨床應用. 中國醫師雜志, 2019, 21(11): 1609-1612.
32. 周元龍, 李山山, 張珂, 等. 三維可視化技術在肝臟外科解剖教學中的進展. 解剖科學進展, 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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