Your AI co-pilot in the operating room
Game-changing cloud software that delivers automated 3D overlays into the operating room for endovascular surgical guidance. Helping to save time, reduce radiation and improve patient outcomes.
By reducing the need for contrast angiography and shortening procedure time, Cydar's 3D overlays have been shown to decrease radiation exposure by 50%1, even in standard EVAR. Helping protect staff and patients.
Using 3D overlays can reduce procedure length in endovascular interventions by 30 – 60 minutes2. Cydar EV is fully automated and does not require any alteration in the clinical workflow – helping save even more time in the operating room.
Contrast-induced nephropathy is the leading cause of in-hospital renal failure. Effective use of 3D overlays can reduce the dose of nephrotoxic iodinated contrast used intraoperatively and has been associated with improved renal function.
Cydar EV software constantly watches the live X-ray images, using bony anatomy to detect patient position and generate up-to-date 3D overlays. Unlike mechanically-tracked systems, Cydar’s image-based tracking automatically corrects for errors caused by patient movement and postural differences3.
Cydar’s computer vision technology watches the X-ray images, meaning it works with any type of fluoroscopy set. Mobile or fixed. Image intensifier or flat panel detector.
Using Cydar EV in the operating room requires no additional X-rays, calibration or manual registration steps. The software takes care of all the setup and updating for you. Just turn it on any you're ready to go.
1 A prospective observational trial of fusion imaging in infrarenal aneurysms. Maurel B, Martin-Gonzalez T, Chong D, Irwin A, Guimbretière G, Davis M, Mastracci TM.
J Vasc Surg. 2018 May 24. doi: 10.1016/j.jvs.2018.04.015. [Epub ahead of print]
2 Image-Based Three-Dimensional Fusion Computed Tomography Decreases Radiation Exposure, Fluoroscopy Time, and Procedure Time During Endovascular Aortic Aneurysm Repair. Southerland KW, Nag U, Turner M, Gilmore B, McCann R, Long C, Cox M, Shortell C.
J Vasc Surg. 2018 June; 67(6):e61 https://www.jvascsurg.org/article/S0741-5214(18)30466-X/fulltext
3 A Comparison of Accuracy of Image- versus Hardware-based Tracking Technologies in 3D Fusion in Aortic Endografting. Rolls AE, Maurel B, Davis M, Constantinou J, Hamilton G, Mastracci TM.
European Journal of Vascular and Endovascular Surgery (2016), Volume 52 , Issue 3 , 323 – 331 https://doi.org/10.1016/j.ejvs.2016.05.001
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