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Novel three-dimensional image simulation for lung segmentectomy developed with surgeons’ perspective

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Abstract

We developed a novel three-dimensional (3D) image simulation system that is especially focused on pulmonary segmentectomy using new 3D computed tomography (CT) software. Based on contrast-enhanced high-resolution computed tomography (HRCT) images, the new software can quickly construct 3D pulmonary and bronchovascular images and generate a proposal for the appropriate segments to be resected. We performed the 3D image simulation and evaluated its accuracy in 20 patients for whom thoracoscopic segmentectomy was planned. We evaluated the anatomical validity comparing with HRCT findings and anatomical consistency with the operative findings on a three-point scale, respectively. The 3D image was evaluated as “good” for anatomical validity in 19 cases (95%) and for anatomical consistency with operative findings in 18 cases (90%). The novel 3D image simulation appeared to be easy to prepare, was anatomically reliable, and, therefore, was determined to be potentially useful.

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Abbreviations

CT:

Computed tomography

GGO:

Ground glass opacity

HRCT:

High-resolution computed tomography

3D:

Three-dimensional

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Acknowledgements

English editing assistance was provided by Crimson Interactive Pvt. Ltd.

Funding

Financial support/sponsorship for this study was provided by Ziosoft, Inc.

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Authors and Affiliations

  1. Department of Thoracic Surgical Oncology, Cancer Institute Hospital, The Japanese Foundation for Cancer Research, 3-10-6 Ariake, Koto-ku, Tokyo, 135-8550, Japan

    Masayuki Nakao, Kenshiro Omura, Kohei Hashimoto, Junji Ichinose, Yosuke Matsuura, Sakae Okumura & Mingyon Mun

Authors
  1. Masayuki Nakao
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  2. Kenshiro Omura
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  3. Kohei Hashimoto
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  4. Junji Ichinose
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  5. Yosuke Matsuura
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  6. Sakae Okumura
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  7. Mingyon Mun
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Correspondence to Masayuki Nakao.

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Supplementary Information

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Supplementary file1 Video legend. Process of 3D image simulation of segmentectomy from CT imaging data on a workstation with REVORASTM software, the novel 3D image-processing software. 3D, three-dimensional; CT, computed tomography (MP4 80588 KB)

11748_2021_1666_MOESM2_ESM.pptx

Supplementary file2 Figure legend. The software identifies the intersegmental plane based on the midpoints from two home points on the surface of the pulmonary artery. Exact recognition and demonstration of the peripheral pulmonary artery or bronchus contributed to the recognition of the anatomically proper intersegmental plain. (PPTX 460 KB)

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Nakao, M., Omura, K., Hashimoto, K. et al. Novel three-dimensional image simulation for lung segmentectomy developed with surgeons’ perspective. Gen Thorac Cardiovasc Surg 69, 1360–1365 (2021). https://doi.org/10.1007/s11748-021-01666-6

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  • DOI: https://doi.org/10.1007/s11748-021-01666-6

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