FDA Clears Mobile C-Arm Device that May Accelerate Fluoroscopic and 3D CT Imaging
Offering ease of mobility and self-driving capabilities, the Ciartic Move C-arm device reportedly reduces the stress and potential for error associated with manual repositioning during intraoperative imaging with computed tomography and fluoroscopy.
The Food and Drug Administration (FDA) has granted 510(k) clearance for the Ciartic Move C-arm device, which facilitate enhanced efficiency with intraoperative fluoroscopic and 3D cone-beam computed tomography (CT) imaging in the OR.
Providing full motorization from the C-arm down to the wheels of the device, the Ciartic Move has self-driving capabilities that may enable better consistency with intraoperative imaging and more automated imaging workflows, according to Siemens Healthineers, the manufacturer of the Ciartic Move.
In comparison to manual adjustments with conventional C-arm devices, the recently FDA-cleared Ciartic Move device reportedly offers self-driving capabilities and storage of up to 12 procedure-specific positions with associated imaging parameters, according to Siemens Healthineers, the manufacturer of the device. (Image courtesy of Siemens Healthineers.)
Noting the device’s ability to reduce the time and workforce capacity associated with manual adjustments of conventional C-arm devices, Siemens Healthineers pointed out that the Ciartic Move device allows clinicians to store up to 12 procedure-specific positions with associated imaging parameters.
“With the FDA clearance of the Ciartic Move, Siemens Healthineers proudly introduces our first self-driving mobile C-arm, which can provide much-needed relief for overtaxed operating room teams by automating and accelerating intraoperative imaging workflows to a previously unseen degree,” said April Grandominico, vice president for surgical therapies in the Advanced Therapies business at Siemens Healthineers North America.
Photon-Counting Computed Tomography: Eleven Takeaways from a New Literature Review
May 27th 2025In a review of 155 studies, researchers examined the capabilities of photon-counting computed tomography (PCCT) for enhanced accuracy, tissue characterization, artifact reduction and reduced radiation dosing across thoracic, abdominal, and cardiothoracic imaging applications.
Can AI Predict Future Lung Cancer Risk from a Single CT Scan?
May 19th 2025In never-smokers, deep learning assessment of single baseline low-dose computed tomography (CT) scans demonstrated a 79 percent AUC for predicting lung cancer up to six years later, according to new research presented today at the American Thoracic Society (ATS) 2025 International Conference.
Can Emerging AI Software Offer Detection of CAD on CCTA on Par with Radiologists?
May 14th 2025In a study involving over 1,000 patients who had coronary computed tomography angiography (CCTA) exams, AI software demonstrated a 90 percent AUC for assessments of cases > CAD-RADS 3 and 4A and had a 98 percent NPV for obstructive coronary artery disease.
