Bianchi, F;
Ciuti, G;
Koulaouzidis, A;
Arezzo, A;
Stoyanov, D;
Schostek, S;
Oddo, CM;
... Dario, P; + view all
(2017)
An innovative robotic platform for magnetically-driven painless colonoscopy.
Annals of Translational Medicine
, 5
(21)
, Article 421. 10.21037/atm.2017.09.15.
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Abstract
Colorectal cancer (CRC) represents a significant medical threat with a dramatic impact on the healthcare system with around 1.3 million patients worldwide, causing more than 700 thousand deaths annually. A key-aspect to successful and cost-effective disease management is represented by the early detection of CRC at asymptomatic stage. For this reason, population screening is highly recommended for patients older than 50 years or at high risk for familiarity. Currently, the standard endoscopic techniques do not meet this need. In recent years, innovative endoscopic robotic techniques and active locomotion devices have been developed as alternatives to conventional colonoscopy. The magnetically-driven robotic platform, presented by the authors, is conceived to perform less invasive and more comfortable colonoscopy with the aim to promote screening campaigns for detection of early colorectal neoplasm.
Type: | Article |
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Title: | An innovative robotic platform for magnetically-driven painless colonoscopy |
Location: | China |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.21037/atm.2017.09.15 |
Publisher version: | http://dx.doi.org/10.21037/atm.2017.09.15 |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Gastrointestinal endoscopy (GI endoscopy), magnetically-driven robotic platform, painless endoscopy, robotic-aided colonoscopy, soft-tether colonoscopic capsule |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10043084 |
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