Mixed reality models based on low-dose computed tomography technology in nephron-sparing surgery are better than models based on normal-dose computed tomography | Zendy

Li Guan | Zendy; Zhiqiang Cao | Zendy; Wang Jinbao | Zendy; Xin Zhang | Zendy; Long Jiang Zhang | Zendy; Jie Dong | Zendy; Guangming Lu | Zendy

Open Access

Mixed reality models based on low-dose computed tomography technology in nephron-sparing surgery are better than models based on normal-dose computed tomography

Author(s) -

Li Guan,

Zhiqiang Cao,

Wang Jinbao,

Xin Zhang,

Long Jiang Zhang,

Jie Dong,

Guangming Lu

Publication year - 2021

Publication title -

quantitative imaging in medicine and surgery

Language(s) - English

Resource type - Journals

eISSN - 2223-4306

pISSN - 2223-4292

DOI - 10.21037/qims-20-956

Subject(s) - medicine , perioperative , computed tomography , nuclear medicine , group b , tomography , radiology , surgery

Nephron-sparing surgery has been widely applied in the treatment of renal tumors. Previous studies have confirmed the advantages of mixed reality technology in surgery. The study aimed to explore the optimization of mixed reality technology and its application value in nephron-sparing surgery.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom

About

About Careers Publisher Partners Contact Us Our institutional solutions Get Organisational Trial or Quote

Learn

FAQs Blog Terms of Use Privacy Policy

Download the Zendy App

Discover

Explore

Home ZAIA Blog