With the nod from the FDA, the Cios Spin mobile C-arm solution, designed by Siemens Healthineers, is now available for distribution in the U.S.

Delivering precise 3D images, the system enables surgeons to perform intraoperative corrections based on the images and confirm their results, providing them greater precision for optimal treatment outcomes.

“This system will help our customers improve the quality of patient care using precision medicine, as well as reduce the additional costs imposed by revision surgery,” Robert Dewey, vice president of surgical solutions at Siemens Healthineers North America, said in a statement.

Designed for orthopedic, trauma and spine surgery, Cios Spin is capable of integrating seamlessly into clinical routines, providing 3D images that offer intraoperative evaluation to help reduce the rate of revisions, as well as post-operative CT.

The solution is equipped with state-of-the-art flat panel technology and provides versatility to support both 2D and 3D imaging for a variety of procedures, including vascular imaging. It also offers easy-to-use connectivity for surgical navigation with its NaviLink 3D digital navigation, and high generator power to overcome the challenges associated with imaging large patients and dense anatomy.

Available with it are a range of optional software packages, including the Easy 3D package for fast, efficient setup and image acquisition, and the Screw Scout package, which allows system software to identify and automatically label screws in a 3D X-ray image, saving time and effort for the surgeon.

In addition, the system is the first first commercially available mobile C-arm with an antimicrobial coating for comprehensive infection control.

Other C-arm systems designed by Siemens include Artis pheno, a robotic C-arm angiography system that was recently licensed by Health Canada for use in minimally-invasive interventional procedures and was cleared in 2017 by the FDA; as well as Cios Fusion, Cios Connect, and Cios Select, all of which were cleared for use in 2016.

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