Steven Kalkanis, MD, director of neurosurgical oncology at Henry Ford West Bloomfield Hospital, discusses how an MRI unit in the operating suite has transformed their approach to brain surgery.
[[{"type":"media","view_mode":"media_crop","fid":"11555","attributes":{"alt":"Kalkanis ","class":"media-image media-image-left","id":"media_crop_9093605711970","media_crop_h":"0","media_crop_image_style":"-1","media_crop_instance":"215","media_crop_rotate":"0","media_crop_scale_h":"0","media_crop_scale_w":"0","media_crop_w":"0","media_crop_x":"0","media_crop_y":"0","style":"margin: 0px; float: left;","title":"","typeof":"foaf:Image"}}]]In the world of brain surgery, millimeters matter. Yet when an incision is made, the brain and fluid shifts, rendering pre-operative images less accurate for mapping the brain, said Steven Kalkanis, MD, co-director of the Hermelin Brain Tumor Center and director of neurosurgical oncology at Henry Ford West Bloomfield Hospital.
The solution? An MRI system in the operating suite that allows for mid-surgery scans for image-guided surgery. Henry Ford recently implemented an interoperative MRI suite that can provide more a precise, real-time picture of the brain.
“Being able to take these images as we are removing the tumor allows us to map and navigate and protect tissue that needs to be protected and remove malignant brain tissue,” Kalkanis said.
The technology has transformed the team’s approach to brain surgery. In this podcast, Kalkanis discusses the implications of this “game changer” technology and how they managed the implementation.
Dual-room suites for MR and surgery. Image courtesy Phillips
New CT and MRI Research Shows Link Between LR-M Lesions and Rapid Progression of Early-Stage HCC
January 2nd 2025Seventy percent of LR-M hepatocellular carcinoma (HCC) cases were associated with rapid growth in comparison to 12.5 percent of LR-4 HCCs and 28.5 percent of LR-4 HCCs, according to a new study.
Study Examines Impact of Deep Learning on Fast MRI Protocols for Knee Pain
December 17th 2024Ten-minute and five-minute knee MRI exams with compressed sequences facilitated by deep learning offered nearly equivalent sensitivity and specificity as an 18-minute conventional MRI knee exam, according to research presented recently at the RSNA conference.