Segmentectomy Guided by 3-Dimensional Images Reconstructed From Nonenhanced Computed Tomographic Data

Seshiru Nakazawa; Ryutaro Hanawa; Toshiteru Nagashima; Kimihiro Shimizu; Toshiki Yajima; Ken Shirabe

doi:10.1016/j.athoracsur.2020.07.098

Segmentectomy Guided by 3-Dimensional Images Reconstructed From Nonenhanced Computed Tomographic Data

Ann Thorac Surg. 2021 Apr;111(4):e301-e304. doi: 10.1016/j.athoracsur.2020.07.098. Epub 2020 Nov 2.

Authors

Seshiru Nakazawa¹, Ryutaro Hanawa², Toshiteru Nagashima¹, Kimihiro Shimizu³, Toshiki Yajima⁴, Ken Shirabe¹

Affiliations

¹ Department of General Surgical Science, Gunma University, Graduate School of Medicine, Maebashi, Japan.
² Department of Thoracic Surgery, Saiseikai Utsunomiya Hospital, Utsunomiya, Japan.
³ Division of General Thoracic Surgery, Department of Surgery, Shinshu University School of Medicine, Matsumoto, Japan.
⁴ Department of Innovative Cancer Immunotherapy, Gunma University, Graduate School of Medicine, Maebashi, Japan. Electronic address: yajimato@gunma-u.ac.jp.

PMID: 33144109
DOI: 10.1016/j.athoracsur.2020.07.098

Abstract

Three-dimensional (3D) imaging is an essential tool for performing an accurate segmentectomy. However, data acquired from contrast-enhanced computed tomography (CT) are considered necessary when reconstructing 3D pulmonary vascular images. Therefore, 3D images are currently unavailable for patients who cannot undergo contrast-enhanced CT scans due to patient-related issues such as anaphylaxis to the contrast agent, among others. We present here our experience with atypical segmentectomies guided by 3D images reconstructed from nonenhanced CT data.

Publication types

Case Reports
Video-Audio Media

MeSH terms

Aged
Female
Humans
Imaging, Three-Dimensional*
Lung Neoplasms / diagnosis
Lung Neoplasms / secondary
Lung Neoplasms / surgery*
Multidetector Computed Tomography / methods*
Neoplasm Metastasis
Pneumonectomy / methods*
Surgery, Computer-Assisted / methods*