[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/3486011.3486467acmotherconferencesArticle/Chapter ViewAbstractPublication PagesteemConference Proceedingsconference-collections
research-article

3D reconstruction of pulmonary anatomy for preoperative planning and intraoperative guiding in robotic anatomical lung surgery

Published: 20 December 2021 Publication History
First page of PDF

References

[1]
Tadashi Akiba, Hideki Marushima, Junta Harada, Susumu Kobayashi, and Toshiaki Morikawa. 2008. Anomalous pulmonary vein detected using three-dimensional computed tomography in a patient with lung cancer undergoing thoracoscopic lobectomy. Gen. Thorac. Cardiovasc. Surg. 56, 8 (August 2008), 413–416.
[2]
R. A. Cory and E. J. Valentine. 1959. Varying patterns of the lobar branches of the pulmonary artery. A study of 524 lungs and lobes seen at operation of 426 patients. Thorax 14, (December 1959), 267–280.
[3]
Zihan Cui, Cheng Ding, Chang Li, Xinyu Song, Jun Chen, Tengfei Chen, Chun Xu, and Jun Zhao. 2020. Preoperative evaluation of the segmental artery by three-dimensional image reconstruction vs. thin-section multi-detector computed tomography. J. Thorac. Dis. 12, 8 (August 2020), 4196–4204.
[4]
Amgad El-Sherif, William E. Gooding, Ricardo Santos, Brian Pettiford, Peter F. Ferson, Hiran C. Fernando, Susan J. Urda, James D. Luketich, and Rodney J. Landreneau. 2006. Outcomes of sublobar resection versus lobectomy for stage I non-small cell lung cancer: a 13-year analysis. Ann. Thorac. Surg. 82, 2 (August 2006), 408–415; discussion 415-416.
[5]
Dana Ferrari-Light, Travis C. Geraci, Prabhu Sasankan, and Robert J. Cerfolio. 2019. The Utility of Near-Infrared Fluorescence and Indocyanine Green During Robotic Pulmonary Resection. Front. Surg. 6, (2019), 47.
[6]
Kenjiro Fukuhara, Akinori Akashi, Shigeru Nakane, and Emiko Tomita. 2008. Preoperative assessment of the pulmonary artery by three-dimensional computed tomography before video-assisted thoracic surgery lobectomy. Eur. J. Cardio-Thorac. Surg. Off. J. Eur. Assoc. Cardio-Thorac. Surg. 34, 4 (October 2008), 875–877.
[7]
Masaru Hagiwara, Yoshihisa Shimada, Yasufumi Kato, Kimitoshi Nawa, Yojiro Makino, Hideyuki Furumoto, Soichi Akata, Masatoshi Kakihana, Naohiro Kajiwara, Tatsuo Ohira, Hisashi Saji, and Norihiko Ikeda. 2014. 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 surgery†. Eur. J. Cardio-Thorac. Surg. Off. J. Eur. Assoc. Cardio-Thorac. Surg. 46, 6 (December 2014), e120-126.
[8]
Norihiko Ikeda, Akinobu Yoshimura, Masaru Hagiwara, Soichi Akata, and Hisashi Saji. 2013. Three dimensional computed tomography lung modeling is useful in simulation and navigation of lung cancer surgery. Ann. Thorac. Cardiovasc. Surg. Off. J. Assoc. Thorac. Cardiovasc. Surg. Asia 19, 1 (2013), 1–5.
[9]
B. E. Johnson. 1998. Second lung cancers in patients after treatment for an initial lung cancer. J. Natl. Cancer Inst. 90, 18 (September 1998), 1335–1345.
[10]
Ken Kodama, Masahiko Higashiyama, Koji Takami, Kazuyuki Oda, Jiro Okami, Jun Maeda, Mitsuhiro Koyama, and Tomio Nakayama. 2008. Treatment strategy for patients with small peripheral lung lesion(s): intermediate-term results of prospective study. Eur. J. Cardio-Thorac. Surg. Off. J. Eur. Assoc. Cardio-Thorac. Surg. 34, 5 (November 2008), 1068–1074.
[11]
Sergei N. Kurenov, Ciprian Ionita, Dan Sammons, and Todd L. Demmy. 2015. Three-dimensional printing to facilitate anatomic study, device development, simulation, and planning in thoracic surgery. J. Thorac. Cardiovasc. Surg. 149, 4 (April 2015), 973-979.e1.
[12]
Julien Le Moal, Christophe Peillon, Jean-Nicolas Dacher, and Jean-Marc Baste. 2018. Three-dimensional computed tomography reconstruction for operative planning in robotic segmentectomy: a pilot study. J. Thorac. Dis. 10, 1 (January 2018), 196–201.
[13]
Tiago Leal Ghezzi and Oly Campos Corleta. 2016. 30 Years of Robotic Surgery. World J. Surg. 40, 10 (October 2016), 2550–2557.
[14]
P. Marchand, J. C. Gilroy, and V. H. Wilson. 1950. An anatomical study of the bronchial vascular system and its variations in disease. Thorax 5, 3 (September 1950), 207–221.
[15]
Kembu Nakamoto, Ken-ichi Omori, Kenji Nezu, and Lung Cancer Project Group of West-Seto Inland Sea, Japan. 2010. Superselective segmentectomy for deep and small pulmonary nodules under the guidance of three-dimensional reconstructed computed tomographic angiography. Ann. Thorac. Surg. 89, 3 (March 2010), 877–883.
[16]
Kenichi Nakamura, Hisashi Saji, Ryu Nakajima, Morihito Okada, Hisao Asamura, Taro Shibata, Shinichiro Nakamura, Hirohito Tada, and Masahiro Tsuboi. 2010. A phase III randomized trial of lobectomy versus limited resection for small-sized peripheral non-small cell lung cancer (JCOG0802/WJOG4607L). Jpn. J. Clin. Oncol. 40, 3 (March 2010), 271–274.
[17]
H. E. Ramsey, W. G. Cahan, E. J. Beattie, and C. Humphrey. 1969. The importance of radical lobectomy in lung cancer. J. Thorac. Cardiovasc. Surg. 58, 2 (August 1969), 225–230.
[18]
Hisashi Saji, Tatsuya Inoue, Yasufumi Kato, Yoshihisa Shimada, Masaru Hagiwara, Yujin Kudo, Soichi Akata, and Norihiko Ikeda. 2013. Virtual segmentectomy based on high-quality three-dimensional lung modelling from computed tomography images. Interact. Cardiovasc. Thorac. Surg. 17, 2 (August 2013), 227–232.
[19]
Peyman Sardari Nia, Jules R. Olsthoorn, Samuel Heuts, and Jos G. Maessen. 2019. Interactive 3D Reconstruction of Pulmonary Anatomy for Preoperative Planning, Virtual Simulation, and Intraoperative Guiding in Video-Assisted Thoracoscopic Lung Surgery. Innov. Phila. Pa 14, 1 (February 2019), 17–26.
[20]
Matthew J. Schuchert, Brian L. Pettiford, Samuel Keeley, Thomas A. D'Amato, Arman Kilic, John Close, Arjun Pennathur, Ricardo Santos, Hiran C. Fernando, James R. Landreneau, James D. Luketich, and Rodney J. Landreneau. 2007. Anatomic segmentectomy in the treatment of stage I non-small cell lung cancer. Ann. Thorac. Surg. 84, 3 (September 2007), 926–932; discussion 932-933.
[21]
Xiao-Wei She, Yun-Bin Gu, Chun Xu, Chang Li, Cheng Ding, Jun Chen, and Jun Zhao. 2018. 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 9, 2 (February 2018), 305–309.
[22]
Satoshi Shiono, Takehiro Okumura, Narikazu Boku, Tomoyuki Hishida, Yasuhisa Ohde, Yukinori Sakao, Katsuo Yoshiya, Ichinosuke Hyodo, Keita Mori, and Haruhiko Kondo. 2017. Outcomes of segmentectomy and wedge resection for pulmonary metastases from colorectal cancer. Eur. J. Cardio-Thorac. Surg. Off. J. Eur. Assoc. Cardio-Thorac. Surg. 51, 3 (March 2017), 504–510.
[23]
Wulf Sienel, Sebastian Dango, Andreas Kirschbaum, Beatrix Cucuruz, Wolfram Hörth, Christian Stremmel, and Bernward Passlick. 2008. Sublobar resections in stage IA non-small cell lung cancer: segmentectomies result in significantly better cancer-related survival than wedge resections. Eur. J. Cardio-Thorac. Surg. Off. J. Eur. Assoc. Cardio-Thorac. Surg. 33, 4 (April 2008), 728–734.
[24]
Shodayu Takashima, Yuichiro Maruyama, Minoru Hasegawa, Takeshi Yamanda, Takayuki Honda, Masumi Kadoya, and Shusuke Sone. 2002. Prognostic significance of high-resolution CT findings in small peripheral adenocarcinoma of the lung: a retrospective study on 64 patients. Lung Cancer Amst. Neth. 36, 3 (June 2002), 289–295.
[25]
Giulia Veronesi. 2015. Robotic lobectomy and segmentectomy for lung cancer: results and operating technique. J. Thorac. Dis. 7, Suppl 2 (April 2015), S122-130.
[26]
Shun-ichi Watanabe, Kazunori Arai, Toshio Watanabe, Wataru Koda, and Hiroshi Urayama. 2003. Use of three-dimensional computed tomographic angiography of pulmonary vessels for lung resections. Ann. Thorac. Surg. 75, 2 (February 2003), 388–392; discussion 392.
[27]
Han Wu, Runsen Jin, Su Yang, Bernard J. Park, and Hecheng Li. 2020. Long-term and short-term outcomes of robot- versus video-assisted anatomic lung resection in lung cancer: a systematic review and meta-analysis. Eur. J. Cardio-Thorac. Surg. Off. J. Eur. Assoc. Cardio-Thorac. Surg. (December 2020).
[28]
Wei-Bing Wu, Xin-Feng Xu, Wei Wen, Jing Xu, Quan Zhu, Xiang-Long Pan, Yang Xia, and Liang Chen. 2016. Three-dimensional computed tomography bronchography and angiography in the preoperative evaluation of thoracoscopic segmentectomy and subsegmentectomy. J. Thorac. Dis. 8, Suppl 9 (October 2016), S710–S715.
[29]
Guobing Xu, Chun Chen, Wei Zheng, Yong Zhu, Hao Chen, and Bingqiang Cai. 2019. Application of the IQQA-3D imaging interpretation and analysis system in uniportal video-assisted thoracoscopic anatomical segmentectomy: a series study. J. Thorac. Dis. 11, 5 (May 2019), 2058–2066.
[30]
Xin-Yu Zhu, Fei-Rong Yao, Chun Xu, Cheng Ding, Jun Chen, Wen-Yi Wang, Liu-Ying Pan, Jun Zhao, and Chang Li. 2021. Utility of preoperative three-dimensional CT bronchography and angiography in uniportal video-assisted thoracoscopic anatomical lobectomy: a retrospective propensity score-matched analysis. Ann. Transl. Med. 9, 6 (March 2021), 480.

Cited By

View all

Index Terms

  1. 3D reconstruction of pulmonary anatomy for preoperative planning and intraoperative guiding in robotic anatomical lung surgery
        Index terms have been assigned to the content through auto-classification.

        Recommendations

        Comments

        Please enable JavaScript to view thecomments powered by Disqus.

        Information & Contributors

        Information

        Published In

        cover image ACM Other conferences
        TEEM'21: Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM'21)
        October 2021
        823 pages
        ISBN:9781450390668
        DOI:10.1145/3486011
        • Editors:
        • Marc Alier,
        • David Fonseca
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 20 December 2021

        Permissions

        Request permissions for this article.

        Check for updates

        Qualifiers

        • Research-article
        • Research
        • Refereed limited

        Conference

        TEEM'21

        Acceptance Rates

        Overall Acceptance Rate 496 of 705 submissions, 70%

        Contributors

        Other Metrics

        Bibliometrics & Citations

        Bibliometrics

        Article Metrics

        • Downloads (Last 12 months)8
        • Downloads (Last 6 weeks)0
        Reflects downloads up to 09 Jan 2025

        Other Metrics

        Citations

        Cited By

        View all

        View Options

        Login options

        View options

        PDF

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader

        HTML Format

        View this article in HTML Format.

        HTML Format

        Media

        Figures

        Other

        Tables

        Share

        Share

        Share this Publication link

        Share on social media