Predicting reachability to peripheral lesions in transbronchial biopsies using CT-derived geometrical attributes of the bronchial route-Reference-Cited by-同舟云学术

Predicting reachability to peripheral lesions in transbronchial biopsies using CT-derived geometrical attributes of the bronchial route

Published:2022-08-20 Issue:2 Volume:18 Page:247-255
ISSN:1861-6429
Container-title:International Journal of Computer Assisted Radiology and Surgery
language:en
Short-container-title:Int J CARS

Author:

Naito Masahito^ORCID,Masaki Fumitaro,Lisk Rebecca,Tsukada Hisashi,Hata Nobuhiko

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11548-022-02723-y.pdf

Reference23 articles.

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3. Sumi T, Ikeda T, Sawai T, Shijubou N, Kure K, Yamada Y, Nakata H, Mori Y, Takahashi H (2020) Comparison of ultrathin bronchoscopy with conventional bronchoscopy for the diagnosis of peripheral lung lesions without virtual bronchial navigation. Respir Investig 58(5):376–380

4. Asano F, Shinagawa N, Ishida T, Shindoh J, Anzai M, Tsuzuku A, Oizumi S, Morita S (2013) Virtual bronchoscopic navigation combined with ultrathin bronchoscopy. A randomized clinical trial. Am J Respir Crit Care Med 188:327–333

5. Miyoshi S, Isobe K, Shimizu H, Sunakawa M, Suzuki A, Sugino K, Shiraga N, Sakamoto S, Takai Y, Iyoda A, Homma S (2019) The utility of virtual bronchoscopy using a computed tomography workstation for conducting conventional bronchoscopy: a retrospective analysis of clinical practice. Respir Int Rev Thorac Dis 97:52–59. https://doi.org/10.1159/000492074

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